Program Schedule - United International Universitymeditec.uiu.ac.bd/wp-content/uploads/2016/12/schedule-meditec.pdf · Abduallh Al Helal, Abdul Mukit and Raqibul Mostafa Improvement

International Conference on Medical Engineering, Health Informatics and Technology(MediTec 2016), December 17-18, 2016, Dhaka, Bangladesh.

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Reporting (Registration & Kit Collection) Time: 08:30AM to 09:30AMVenue: Ground Floor Lounge, Room-GF1 and Conference Secretariat, Room-313Inauguration Time: 09:30AM to 11:00AMVenue: UIU Auditorium

09:15 am Guests take their seats

09:25 am Arrival of the Chief Guest

09:30 am Recitation from the Holy Quran

09:35 am Welcome address by the Chair, Organizing Committee

09:40 am Address by the Chair, Technical Committee and IEEE BD Section

09:45 am Address by the Pro-Vice Channellor, UIU

09:50 am Address by the Vice Chancellor, UIU

09:55 am Address by the Special Guest



10:25 am Address by the Chief Guest

10:40 am Vote of Thanks from the Conference Chair

10:45 am Presentation of Platinum Sponsor

Snacks/Tea BreakTime: 11:00AM to 11:30AM

Plenary Session P1, Venue: UIU Auditorium

Keynote-1 Time: 11:30 AM – 12:00 PMTitle: Imaging Based Biometric and Early Stage Cancer DetectionSpeaker: Prof. Dr. Mohammad S. AlamFellow – IEEE, IET, OSA, SPIE, IoP, IS&T, and IAPR Dean, Frank H. Dotterweich College of Engineering Texas A&M University - KingsvilleKeynote-2Time: 12:00 PM – 12:30 PMTitle: Brain-Computer Interaction for Control, Communication & MonitoringSpeaker: Prof. Dr. Anton NijholtComputer Scientist, University Twente the NetherlandsKeynote-3Time: 12:30 PM – 01:00 PMTitle: Clinical Neurophysiology in Bangladesh: Transfer of Technology and Appropriate Use in Regular Medical Practice Speaker: Dr. Selina Husna BanuAssociate professor, Neurosciences Unit, ICH and SSF Hospital

Lunch and Prayer BreakTime: 01:00PM to 02:00PM

Day 1: December 17 (Saturday) 2016

Program Schedule


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Technical Sessions A1, A2 (02:00PM-03:30PM)

Session A1, Venue: UIU AuditoriumTime: 2:00 PM-3:30PM

Biomedical Signal and Image Processing

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Inpainting Multiple Sclerosis Lesions for Improving Registration Performance with Brain Atlas.

Bangladeshi Sign Language Recognition using Finger Tip Position.

A Novel and Robust Automatic Seed Point Selection Method for Breast Ultrasound Images

A Smart System for Driver’s Fatigue Detection, Remote Notification and Semi-Automatic Parking of Vehicles to Prevent Road Accidents

A Direction-Sensitive Fall Detection System Using Single 3D Accelerometer and Learning Classifier

Fahim Faisal, Soumik Farhan, Zaied Zaman and Moshiur R Faraz

Syed Tauhid Ahmed and M. A. H. Akhand

Rashid Al Mukaddim, Juan Shan, Irteza Enan Kabir, Abdullah Salmon Ashik, Rasheed Abid, Zhennan Yan, Dimitris N. Metaxas, Brian S. Garra, Kazi Khairul Islam and S. Kaisar Alam

Alamgir Hossan, Faisal Bin Kashem, Md. Mehedi Hasan, Sabkiun Naher and Md. Ismail Rahman

Farhad Hossain, Liakot Ali, Zahurul Islam and Hossen A Mustafa

Authors Paper Title Page No.

Session A2, Venue: Room-314Time: 2:00 PM-3:30PM

Computational Biology and Bioinformatics & Biomedical and Health Informatics

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An Improved Algorithm for Sorting Chromosomes by Inverted Block-interchanges Based on Permuta-tion Group

Restriction Site Placement in Virus Genomes using Particle Swarm Optimization.

Evolutionary Analysis and Prediction of Peptide Vaccine Candidates for Nipah virus Fusion Glyco-protein

Similarity Analysis Among Patients’ Names: Bangladesh Perspective

Afrida Tabassum, Wali Mohammad Abdullah, Najia Manjur, Rehennuma Islam, Ashfaque Ahmed, Shourav Imtiaz Morshed, Rizia Iqbal Tinni, Kazi Lutful Kabir and Muhammad Nazrul Islam

M.A.H. Akhand, Sk. Imran Hossain, Md. Fisol Habib and Kazuyuki Murase.

Farzana Hossain and Rubayetul Alam

Shahidul Islam Khan and Abu Sayed Md. Latiful Hoque



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Technical Sessions B1, B2 (05:30PM- 07:00PM)


Keynote-4Time: 03:30AM to 04:00PMTitle: An Automated Tool to Teach Social Engagement Skills for Older AdultsSpeaker: Dr. Ehsan HoqueAssistant Professor, University of Rochester

Plenary Session P3 & Platinum Sponsor Presentation, Venue: UIU Auditorium

Time: 04:30PM to 05:15PMKeynote-5Title: Brain Machine Interface: A Translational Neural Engineering Technology for Treatment and Rehabilitation of NeuralDisorderSpeaker: Dr. Khondokar Abdullah Al MamunDirector, AIMS Lab &Associate Professor, United International University

Snacks/Tea and Prayer BreakTime: 04:00PM to 04:30PM

Session B1, Venue: UIU AuditoriumTime: 5:30PM- 07:00PM

Biomedical and Health Informatics

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Alimul Razib, Khokon Ahmad Hossain and Md. Sazzat Hossain

Fatema Khan, Maitraye Das and Ahiya Ahammed.

Md Sanaul Haque, Wali Mohammad Abdullah, Sadiqur Rahaman, Maarit Kangas and Timo Jämsä

Shahed Anzarus Sabab, Ahmed Iqbal, Md. Ahadur Rahman Munshi and Shihabuzzaman Shihab

Md. Anwar Hossain, Mohiuddin Ahmad, Md. Rafiqul Islam, M. D. Hossain, A. K. M. Rahman, S. Islam and Mohd. Abdur Rashid

Microwave Ablation Technique (MWA) for Cancer Treatment, Simulation Analysis of Single Slot MCA for Different Slot Position

PurpleAid : An mHealth Platform to Combat Health Hazards of Women

Persuasive health and wellbeing application: A theory-driven design in promoting physical activity

Cardiovascular Disease Prognosis Using Effective Classification and Feature Selection Technique

Clincal Engineering and Healthcare Delivery Performance Measurement: Basic Module of Clinical Engineering Department for 250 Beds Hospitals in Bangladesh


Session B2, Venue: Room - 314Time: 5:30 PM-7:00PM


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Md. Abdus Salim Mollah, Md. Asif Anjum Akash, Mahtab Ahmed and M. A. H. Akhand

Md Abu Saleh Tajin, Mohsin Ahmed and Pran Kanai Saha

Sampad Das, Nasrin Sultana, Md. Ariful Islam Arif and M. Osman Gani

Nasrin Sultana, Sampad Das and M. Osman Gani

Khan Wahid, S. M. Lutful Kabir, Haider Adnan Khan, Abduallh Al Helal, Abdul Mukit and Raqibul Mostafa

Improvement of Haar Feature Based Face Detection incorporating Human Skin Color Analysis

Performance Analysis of an Ultra Wideband Antenna for Wireless Capsule Endoscopy

Bifurcation Analysis of the Periodic Action Potentials of Cardiac Excitation in the Aliev-Panfilov Model

Bifurcation Analysis of Periodic Action Potentials of Nerve Cells in the FitzHugh-Nagumo Model

A Localization Algorithm for Capsule Endoscopy based on Feature Point Tracking



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Day 2: December 18 (Sunday) 2016

Reporting (Registration & Kit Collection) Time: 08:00AM to 09:00AMConference Secretariat, Room-313

Technical Sessions C1, C2 (9:00AM-10:30AM)

Session C1, Venue: UIU AuditoriumTime: 9:00AM-10:30AM


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Lie Detection from fNIR Signal and NeuroImage

Improved Strain Estimation Using a Novel 1.5D Approach: Preliminary Results

Range Adaptation of Wireless Power Transfer Systems for Biomedical Applications

A Machine Learning Based Approach for the Detection and Recognition of Bangla Sign Language

Classification of Motor Imagery Signal Using Wavelet Decomposition: A Study for Optimum Parameter Settings

Md. Asadur Rahman and Mohiuddin Ahmad

Irteza Kabir, Rasheed Abid, Abdullah Salmon Ashik, Kazi Khairul Islam and S. Kaisar Alam

S. M. Lutful Kabir, Khan A. Whaid and Md. Mehedi Hasan

Muttaki Hasan, Tanvir Hossain Sajib and Mrinmoy Dey

Md. A Mannan Joadder and M. K. M Rahman


Session C2, Venue: Room-314Time: 9:00AM-10:30AM

ICT, Health and Disabilities

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Diagnosis of Chronic Kidney Disease Using Effective Classification and Feature Selection Technique

Selection Analysis and Phylogeographic Simulation Study of Worldwide Spread of Zika Virus

Bolte Chai: An Augmentative and Alternative Communication Device for Enhancing Communica-tion for Nonverbal Children

DiaHealth: A Smart App for Complete Diabetes Lifestyle Management

A Smartphone based Application to Improve the Health Care System of Bangladesh

Nusrat Tazin and Shahed Anzarus Sabab

Rubayetul Alam and Arafat Rahman.

Mohammad Nasfikur Rahman Khan, Mohammad Nazmul Hasan, Kaiser Habib, Marufa Hossain, Farhana Sarker and Khondaker Abdullah Al Mamun

Md. Ariful Islam, Hassan Nomani Alvi and Khondaker Abdullah Al Mamun

Ahmed Imteaj and Kamrul Hossain Patwary



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Keynote-6Time: 10:30AM to 11:00AMTitle: Towards developing low cost solutions for affordable perinatal health screeningSpeaker: Ahsan H. KhandokerAssociate Professor, Biomedical Engineering, Khalifa University, Abu Dhabi, UAE


Time: 11:30AM to 01:00PMKeynote-7Time: 11:30 AM – 12:00 PMTitle: Computer in Medical Physics: Application in Radiation TherapySpeaker: Prof. Dr Hasin Anupama AzhariDean, Faculty of Mathematical and Physical ScienceChairman, Dept of Medical Physics and Biomedical Engineering (MPBME), Gono Bishwabidyalay (University),Savar Dhaka, BangladeshKeynote-8Time: 12:00 PM – 12:30 PMTitle: Autism Spectrum Disorder: Pathway of Care in BangladeshSpeaker: Prof. Md. Golam RabbaniProfessor of Psychiatry & Chairman, Autism and NDD Trust, MSW, Government of BangladeshKeynote-9Time: 12:30 PM – 01:00 PMTitle: Research in Biomedical Signal Processing: Challenges, Opportunities and ContributionSpeaker: Prof. Dr. Mohiuddin AhmadProfessor, Department of Electrical and Electronic Engineering,Khulna University of Engineering & Technology, Bangladesh

Snacks/Tea BreakTime: 11:00AM to 11:30AM

Lunch and Prayer BreakTime: 01:00PM to 02:00PM

Technical Sessions D1, D2 (02:00PM-03:30PM)

Session D1, Venue: UIU AuditoriumTime: 02:00PM-03:30PM

Biorobotics, Bionanotechnology, Wearable Biomedical Sensors andSystems, & Neuro and Rehabilitation Engineering

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A Voice Controlled Robot for Continuous Patient Assistance

Pressure Transfer Function for Aorta Model in Cardiovascular Simulator -Feasibility Study of Wearable Central Blood-Pressure Gauge

Bilingual Wearable Assistive Technology for Visually Impaired Persons

Prototyping Arduino and Android Based m-Health Solution for Diabetes Mellitus Patient

Predicting Movement and Laterality From Deep Brain Local Field Potentials

Smart NDA: A Framework for Smart Device Integrated Automated Neurodevelopmental Disorder Screening Tool

Sashanka Kumar Pramanik, Md. Mahsin Ullah, Zishan Ahmed Onik, Sumaiya Sultana, Saiful Ahmed and Nadia Anam Kyoji Nakajo, Yudai Komori, Shuji Takahashi, Kazuhiro Motegi, Yoichi Shiraishi and Hiroshi Miyashita

Humayun Rashid, A.S.M Rabbi Al-Mamun, Moham-mad Sijanur Rahaman Robin, Miraz Ahasan and S M Taslim Reza Abu Sadat Sabbir, Khandakar Md. Bodroddoza, Abdul Hye, Md. Faysal Ahmed, Simanto Saha and Khawza I. AhmedAbu Shafin Mohammad Mahdee Jameel, Mike Mace, Shouyan Wang, Ravi Vaidyanathan and Khondaker Abdullah Al MamunSanjida Tumpa, Najia Manjur, Farhana Sarker and Khondaker Abdullah Al Mamun



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Plenary Session P6 & Platinum Sponsor Presentation, Venue: UIU Auditorium

Time: 03:30PM to 04:15PMKeynote-10Title: Neuromechanics and Nervous Systems: from Insects to In-Vivo MechatroncisSpeaker: Dr. Ravi VaidyanathanSenior Lecturer (Associate Professor) in Bio-Mechatronics in the Department of Mechanical Engineering atImperial College London

Plenary Session P7 (Panel Discussions), Venue: UIU Auditorium

Time: 04:30PM to 05:30PMTitle: Prospects of Medical Engineering and Technology Education, Research and Professionals in Bangladesh:Challenges and Opportunities Speaker: Mr. Anwar Hossain Specialist in Health Care Technology Management, Technical Manager (Repair). NEMEMW & TC, MoH & FW,Government of BangladeshModerator: Prof. Dr Hasin Anupama AzhariDean, Faculty of Mathematical and Physical ScienceChairman, Dept of Medical Physics and Biomedical Engineering (MPBME), Gono Bishwabidyalay (University),Savar Dhaka, Bangladesh

Tea BreakTime: 04:15PM to 04:30PM

Closing ceremony & Award givingTime: 06:00PM to 07:00PM 05:45 pm Guests take their seats 05:55 pm Arrival of the Chief Guest 06:00 pm Recitation from the Holy Quran 06:05 pm Address by the Pro Vice Chancellor, UIU 06:10 pm Address by the Vice Chancellor, UIU 06:15 pm Award Giving 06:30 pm Address by the Special Guest 06:40 pm Address by the Chief Guest 06:55 pm Closing remarks by the Conference Chair

Conference DinnerTime: 07:30PM to 09:30PM

Session D2, Venue: Room-314Time: 02:00PM-03:30PM


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Seizure Detection System: A Comparative Study on Features and Fusions

Application of Wavelet-based Maximum Entropy on the Mean in Channel Optimization for BCI

Brain tumor identification through Microstructure study using MRI

An Unsupervised Breast Ultrasound Image Segmen-tation Algorithm Using Local Histogram Features

Moving Averaging Method of RSSI Based Distance Estimation for Wireless Capsule Localization

M.K.M Rahman, Md A Mannan Joadder and Tanvir Ahammed Ashique

Md. Shakhawat Hossain, Simanto Saha, Md. Ahasan Habib, Abdullah Al Noman, Takia Sharfuddin and Khawza AhmedShuvashis Das Gupta, Zaid Bin Mahbub and Khondkar Siddique-E-Rabbani

Md. Mahbubur Rahman

Umma Hany, Lutfa Akter and Md. Farhad Hossain



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Lecture Summaries of Plenary Sessions

Imaging Based Biometric and Early Stage Cancer DetectionProf. Dr. Mohammad S. AlamTexas A&M University, USA

AbstractExisting biometric recognition systems are susceptible to spoofing attacks and it is crucial to incorporate liveness detection to ensure reliable biometric recognition, especially for security applications. In this keynote, we will review the recent trends and advancements in correlation based biometric recognition and liveness detection techniques followed by the development of an efficient wavelet based face liveness recognition system. We tested the effectiveness of the proposed approach using various real life face anti-spoofing datasets which incorporates different types of spoofing attacks. The test results obtained using the proposed technique shows significantly better performance compared to existing techniques. In the second part of this keynote, a new technique for early stage breast cancer detection using microwave imaging and infrared sensing will be discussed.

BiographyProf. Mohammad S. Alam received his BS and MS degrees in electrical and electronic engineering from the Bangladesh University of Engineering and Technology (BUET) in 1983 and 1985, his MS degree in computer engineering from the Wayne State University in 1989, and his Ph.D. degree in electrical engineer-ing from the University of Dayton in 1992. Currently, he serves as a Professor of Electrical Engineering and Computer Science and as the Dean of College of Engineering at Texas A&M Uiversity - Kingsville (TAMUK). He served as the Chair of the Department of Electrical and Computer Engineering at the University of South Alabama during 2001-2015, and as the first Warren H. Nicholson Endowed Chair

Professor of Electrical and Computer Engineering. He served on the faculty of BUET, Purdue University - Fort Wayne, and the University of Alabama. He also served as a Graduate Faculty of Purdue University and Indiana University.His research interests include image processing, pattern recognition, ultrafast computing, and renewable energy. He authored or co-authored over 500 publications, including 195 articles in refereed journals, 325+ conference publications, and 15 book chapters. He has edited a reference book of selected papers on JTC (SPIE Press) and many conference proceedings. Over 5800 citations of his work have been reported in the Google Scholar. He received numerous excellence in research/teaching/service awards including the 1997 Faculty Colloquium on Excellence in Teaching Award (Statewide recognition) from the Indiana University, 2003 Scholar of the Year Award from Phi Kappa Phi Honor Society, 2005 Outstanding Scholar of the Year Award from the USA Alumni Association, 1998 Outstanding Engineer Award from Region 4 of IEEE, 2013 Outstanding Engineer Award from Region 3 of IEEE, and 2016 Joseph M. Biedenbach Outstanding Engineering Educator Award from Region 3 of IEEE. He was also recognized as one of the 50 faculty who made outstanding and lasting research and scholarship contribu-tions in the 50-year history of USA.Prof. Alam served/serves as the PI or Co-PI of many research projects totaling nearly $15M, funded by NSF, NASA, FAA, DoE, ARO, AFOSR, AFRL, SMDC, Wright-Patt AFB, Alabama Department of Commerce, British Petroleum, nfina Technol-ogies, and ITT industry. He presented over 100 keynote addresses, invited papers, seminars and tutorials at international conferences and research institutions in the US and abroad. He has organized and chaired many international conferences and served as a Guest Editor for 4 professional journals. He supervised the research work of 55+ Masters/Ph.D. students, 15 post-doctoral students, and 7 visiting scholars. Prof. Alam serves as an ABET evaluator for domestic and international institu-tions. Prof. Alam is an elected Fellow of nine professional societies: Institute of Electrical and Electronics Engi-neers (IEEE), Institution of Engineering and Technology (IET), Optical Society of America (OSA), SPIE - the International Society for Optical Engineering, Institute of Physics (IoP), Society for Imaging Science & Tech-nology (IS&T), International Association for Pattern Recognition (IAPR), Bangladesh Computer Society (BCS), and the Institution of Engineers Bangladesh (IEB). He serves as an OSA Fellows Travelling Lecturer. He was the Chairman of the Fort Wayne Section of IEEE during 1995-1996. He also served as the President of the Southeastern ECE Department Heads Association during 2005 - 2006. Currently, he serves as the President of the Mobile Section of IEEE. Currently, he serves as the President of the Mobile Section of IEEE.


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Brain-Computer Interaction for Control, Communication and MonitoringProf. Dr. Anton Nijholt

University of Twente, Netherlands

AbstractIn 1973 Jacques Vidal published a paper in which he discussed properties of electric brain signals. He was not the first one, but probably the first to ask the question whether these signals could be used for direct brain-computer communication. That is, Vidal asked the now famous question: “Can these observable electrical brain signals be put to work as carriers of information in man-machine communication or for the purpose of controlling such external apparatus as prosthetic devices or spaceships?” Communication and control using brain signals became possible in the years that followed, but certainly not as fast as Vidal assumed. Even nowadays with fast computers, EEG technology, software techniques and advanced methods for signal acquisi-tion, feature extraction and classification, we have hardly reached a situation where EEG experiments outside the lab environ-ment can be useful because of lack of robustness (due to, e.g., artifacts from movements and subject-dependency) of detecting and interpreting a user’s intention or externally evoked brain activity. And, of course, it is more convenient to carry a smart-phone than to setup and wear an EEG device during daily routines and activities. Nevertheless, there is enthusiasm in the BCI community about medical and non-medical applications of BCI. For example, we have applications in controlled environments where BCI technology is the only means for patients to communicate with the world or to control devices that make their lives a little more bearable. We can have control of neuro-prostheses and some recovery of brain injuries and diseases using neuro-rehabilitation. In addition, we can find artistic applications where robustness is not that important. Interest in BCI has increased considerably in the last decade. BCI is used for games and sports, not necessarily to issue commands, but also to monitor brain activity of a user and adapt task or environment to a user’s preferences or needs. BCI has become part of human-computer interaction and methods from computer science (software platforms, artificial intelligence, multimodal interaction, robotics, virtual reality) are now employed in BCI research. Rather than asking full and detailed control by a user we can look at applications where we leave low-level control and communication issues to the intelligence embedded in device or environment. These approaches from outside the clinical domain will have impact on this domain and will be discussed in this talk.

Biography Prof. Dr. Anton Nijholt received his PhD in computer science from the Vrije Universiteit in Amster-dam. He held positions at various universities, inside and outside the Netherlands. In 1989 he was appoint-ed full professor at the University of Twente in the Netherlands. His main research interests are human-computer interaction with a focus on entertainment computing, affect, humor and brain-computer interfacing. He edited various books, most recently on playful interfaces and brain-computer interaction. Nijholt, together with many of the more than fifty PhD students he supervised, wrote numerous journals and conference papers on these topics and acted as program chair and general chair of many large interna-tional conferences.

Clinical Neurophysiology in Bangladesh: transfer of technology and appropriate use in regular medical practice

Dr. Selina Husna BanuAssociate professor, Neurosciences Unit, ICH and SSF Hospital

Abstract Biomedical engineering (BME) is the application of engineering principles, and design concepts to medicine for diagnostic, therapeutic as well as mental and physical health protective purposes. There is a call for bridging the gap between BME and medical practitioners with the service specific design to advance diagnosis, monitoring and therapy. The combined approach would empower the clinicians for diagnostic workout, management and analysis of medical or surgical condi-tions. The discovery of electroencephalography was a milestone for the advancement of neuroscience and everyday practice, especially for patients with seizures. Since the mid-eighteen century, neurophysiological technology is providing us excit-ing information about brain and nerve functions. Today using the same principle we can assess the complex human brain functions like speech, executive function and thoughts. Special EEG program (neurofeedback technique) is used to train the brain for persons with ADHD, autism, perkinsons diseases and stroke to improve their quality of life.


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Appropriate EEG technology was introduced in Bangladesh 20 years ago, later we added advanced diagnostic technique at the ICU, laboratory and at the community. We have trained more than 70 personnel including physicists, engineers, technologists, and neurophysiologists at home and abroad through Bangladesh Clinical Neuroelecrophysiologists Society (BCNEPS). Today many of the laboratories are doing routine EEGs, VEP, ERG, AEP and nerve conduction studies and needle EMGs. The neuromuscular disorders and their assessment utilizing the electrophysiological tests is getting popular in last few years. Now we need to introduce single fiber EMG to evaluate congenital myesthenia gravis. We have experts working on the distal F-latency (DFL) in nerve study having potential clinical use, introduced by Professor KS Rubbani. Being at the cutting edge of science, we need to keep ourselves updated with persistent training at the most advanced laboratories in the world.

BiographyDr. Selina Husna Banu, MBBS, DCH, PhD(University College London). Associate professor, Neurosciences Unit, ICH and SSF Hospital, Mirpur, Dhaka, Bangladesh Graduated from Chittagong Medical College, Faculty of Medicine, University of Chittagong, Bangladesh in 1985. Worked at differ-ent thana health complexes under Ministry of Health during 1986 till 1989. Got training on pediatric medicine at the Bongobondhu Sheikh Mujib Medical University (BSMMU) and in Bangladesh Institute of Child Health (BICH). Dr. Banu started career in the field of pediatric neurology and developmental disorders in 1991. Fellowship training and experience in Neurosciences and clinical neurophysiology at

Great Ormond Hospital, ICH, London, 1995-1998, PhD student at the University College London in 1999. She was award-ed with PhD in childhood epilepsy in 2003, UCL, ICH London. Selina has long time working experience in Child Neurology and developmental disorders including child and adolescence Behavioral disorders. She has experience in establishing comprehensive service for children with Neurological disorder and developmental disabilities in multiple government and private hospitals in Bangladesh. Trained many technologists and neurophysiologists and established clinical neurophysiology laboratories in and out of the country (Bangladesh, Tanzania and Ghana). Dr. Selina has special interest in Clinical Neurophysiology, genetics, childhood epilepsy and paroxysmal disorders.

An Automated Tool to Teach Social Engagement Skills for Older Adults

Dr. Ehsan HoqueUniversity of Rochester, USA

AbstractCarefully-designed feedback on automatically-sensed human behavior has been effective in improving important social and cognitive skills. The United Nations estimates there are now 700 million people aged 60 years and over. By 2050 that figure will rise to over 2 billion. In this talk, I will describe a project called “Aging and Engaging,” a web-based conversa-tional skills training system targeted to help the elderly (65+ years). The system allows users to practice conversations and receive feedback on eye contact, speaking volume, smiling, and speech content. Along with providing insights from our exploratory study, I will discuss how our approach could lay the foundation for applications to other healthcare problems.

BiographyM. Ehsan Hoque is an assistant professor of computer science at the University of Rochester, where he leads the Rochester Human-Computer Interaction, or ROC HCI, Group. His group’s research focuses on understanding and modeling unwritten rules of human communication with applications in mental health, business communication, and assessment technologies. Ehsan received his Ph.D. from the Massachusetts Institute of Technology in 2013. Ehsan and his group’s work has received a Best Paper Award at Ubiqui-tous Computing (UbiComp 2013), Best Paper Honorable Mentions in Automated Face and Gesture Recognition (FG 2011) and Intelligent Virtual Agents (IVA 2006), the MIT Technology Review TR35

Award in 2016, and the Google Faculty Research Award (2014, 2015). Follow the group’s work on Twitter at @rochci.


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Brain Machine Interface: A Translational Neural Engineering Technology forTreatment and Rehabilitation of Neural Disorders

Dr. Khondokar Abdullah Al Mamun United International University

AbstractContinuing research on biomedical engineering, cognitive neuroscience and intelligent systems has made substantial progress to understand the neurophysiological process of the human brain and its applications to the clinical interventions as well as development of neural engineering technology such as Brain Machine Interface (BMI). The idea of BMI is the detection of patterns of neurophysiological activities of the brain, i.e. neural signals and then transforms it into commands to operate assistive devices, such as computer, wheelchair or artificial limbs. BMI system not only identifies the pattern of neural signals but also it can be able to feed signals into the brain through neuro stimulators for neural modulation towards treatment and rehabilitation of neural disorders. It can also be able to establish bidirectional communication (both reading and writing of neural signatures) for enabling Brain Machine Brain Interface (BMBI). In addition to that, it will help us to understand the neural circuit mechanisms and open up the possibilities to develop intelligent therapeutic interventions. Significant effort has been made on developing BMIs to support motor control through external devices (read-out BMI) and direct neural stimulation through implanted electrodes in the brain (write-in BMI). One good example of read-out BMI is neural prosthetics, which are artificial extensions to the body that restore or supplement function of the nervous system lost due to disease or injury. It created the possibilities to improve quality of life for people with severe disabilities. On the other hand, an example of write-in BMI is deep-brain stimulation (DBS), which is a surgical implantation of a medical device called a brain pacemaker that sends electrical impulses to specific parts of the brain to suppress abnormal neural activity. The usual target of the DBS implantation for movement disorders is in the subcortical structure of the brain, basal ganglia, which is a part of the brain circuit involved in motor control. DBS made remarkable therapeutic benefits for patients with neurological diseases, such as chronic pain, Parkinson's disease, tremor and dystonia. This technique is not only clinically useful, but also it can provide new insights into fundamental brain functions through direct manipulation of both local and distributed brain networks. This talk will focus on recent advancement of different alternative modalities and methods of BMI technologies and its ranges of real life applications in medical interventions and rehabilitations. The talk also discus on the research scope and prospects of Biomedical engineering in Bangladesh and abroad.

BiographyKhondaker A. Mamun received his Ph.D. in Biomedical Engineering from University of Southamp-ton, UK. After that he worked as a Postdoctoral Research Fellow in the Paediatric Rehabilitation Intelli-gent Systems Multidisciplinary (PRISM) Lab with joint appointment from Institute of Biomaterials and Biomedical Engineering (IBBME), University of Toronto, Toronto, Canada and Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada. He also worked as a lectur-er and then assistant professor in the Department of CSE, Ahsanullah University of Science and Tech-nology from 2002 to 2007, and as a researcher in the College of Computer and Information Science,

King Saud University, Saudi Arabia from 2007 to 2008. Since October 2014, he is working as an Associate Professor at the Department of CSE, United International University (UIU), Bangladesh. He is the founder and director of Advanced Intelligent Multidisciplinary Systems Lab (AIMS Lab) at UIU. His research interests include development intelligent systems for medical intervention, biomedical signal processing and pattern recognition, human machine interface (HMI), brain computer interface (BCI), rehabilitation engineering, and mobile technology for health care and rehabilitation appli-cations. He has published more than 75 peer reviewed journal and conference papers. He has invented a number of E-Health service delivery architecture for countries with low resource setting. He also won several research grants from home and abroad. His research also featured in a number of news outlets including New Scientist and BBC. He has received several awards for his excellence in academic and research achievements that include Khanbahadur Ahsanullah Gold Medal in 2005. He is a founder of CMED Health (winner of GP Accelerator, SeedStarWorld and 1000 innovative products 2021), a startup that focuses on preventive healthcare through ICT. He is a member of the Institute of Engineers Bangladesh (IEB), Institute of Electrical and Electronic Engineers (IEEE); Chair, Engineering in Medicine and Biology Society (EMBS) Bangladesh section, and Fellow, Bangladesh Computer Society (BCS).


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Towards Developing Low Cost Solutions for Affordable Perinatal Health ScreeingAhsan H. Khandoker

Khalifa University, Abu Dhabi, UAE

AbstractIt is clear that the best use of information technology to improve health in the developing world will be based on mobile technology. Most health workers do carry cell phones. In this presentation, I will share my recent experiences on adapta-tions of low cost techniques with cell phones for use in healthcare settings with limited or few resources. We have recently developed an initial prototype of low-cost and non-invasive abdominal phonogram device using a cell phone to assist the screening of fetal well being in developing countries. The device measures sound signals from the mother’s abdomen, and measures the fetal heart rate (and its variability), and fetal movements, to suggest the diagnosis of a compromised fetus and prompt further obstetric assessment and/or intervention. We believe that can give pregnant mothers a handy tool saving tiny lives from stillbirths. Finally, our recent development of “Smart Cable” which essentially is an interface device between a cell phone and various types of Pluggable Devices/sensors will also be presented.

BiographyAhsan H. Khandoker received the B.Sc. degree in electrical and electronic engineering from the Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 1996, the M.Eng.Sc. degree from Multimedia University, Malaysia, in 1999, and the M. Eng. and Doctor of Engineering degrees in physiological engineering from the Muroran Institute of Technology, Muroran, Japan, in 2001 and 2004, respectively. He is an Associate Professor of Biomedical Engineering at Khalifa University, Abu Dhabi, UAE. He is also working as a Senior Research Fellow for Australian Research Council Research Networks on Intelligent Sensors, Sensor Networks and Information Processing at the Universi-

ty of Melbourne, Parkville, Vic., Australia. He has published 50 peer-reviewed journal articles and more than 85 confer-ence papers. His research field of interests includes physiological signal processing and modeling in fetal cardiac disorders, sleep disordered breathing, diabetic autonomic neuropathy, and human gait dysfunction, and is passionate about research helping clinicians to noninvasively diagnose diseases at early stage. He has also worked with several Australian and Japanese Medical device manufacturing industries, as well as hospitals as a Research Consultant focusing on the integra-tion of technology in clinical settings.

Computer in Medical Physics: Application in Radiation TherapyProf. Dr Hasin Anupama Azhari

Dean, Faculty of and Physical and Mathematical SciencesChairman, Dept. of Medical Physics and Biomedical Engineering (MPBME)

Gono Bishwabidyalay (University), Savar Dhaka, Bangladesh

AbstractThe application of the electronic computer to medical science is still new but fascinating enough to be one of the most promising subjects for research and clinical application. The study of the application of computers in the field of radiothera-py has a history of over 15 years. Computerized Treatment Planning (TP) systems are used in external beam radiation therapy to generate beam shapes and dose distributions with the intent to maximize tumour control and minimize normal tissue complications. The entire process of treatment planning involves many steps beginning from beam data acquisition, entry into the computerized planning system and the medical physicist is responsible for the overall integrity of the comput-erized treatment planning system to accurately and reliably produce dose-distributions and associated calculations for external beam radiotherapy. In the first stage of the history, efforts were made toward the speed-up of calculation of dose distribution. Then in the second stage, the computer became to be a practical tool accumulating a large number of isodose charts which were like catalogues for mail order customers. In the third and present stage, computer aided optimization of treatment condition is being studied. In the next decade, the study will be directed to the automatic control both in planning and in treatment. As the first step, analog computer was developed as a real time simulator. On the other hand, the digital computer has more flexibility than the analog computer provided that there are adequate hardware and software.Successive improvements in treatment planning hardware and software have been most notable in the graphics, calculation and optimization aspects of current systems. Systems encompassing the “virtual patient” are able to display Beams-Eye Views (BEV) of radiation beams as well as Digitally Reconstructed Radiographs (DRR) for arbitrary dose distributions. Dose calculations have evolved from simple 2D models through 3D models to 3D Monte-Carlo techniques and increased computing power continues to increase the calculation speed.


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BiographyDr. Hasin Anupama Azhari is the Chairman and Professor of the Dept of Medical Physics and Biomedical Engineering, Gono Bishwabidyalay (GB,University) and Dean, Physical and Mathematical Sciences, GB. She has been awarded PhD in Medical Physics titled “Physical Biological and Clinical Aspects of Remote Afterloading Brachytherapy from National University through a sandwich program between OWSD (Organization for Women in Science for the developing world ) and NU, under ICTP fellowship, Trieste, Italy. Her research stations were Zhejiang Cancer Hospital, China and German Cancer Research Center, Germany. About 40 research works were published in different national and

international Journals (like the Journal of Medical Physics of India, Europe, China etc) and books. She has participated lots of workshop, training programme, conferences in different countries like India, China, Germany, Italy, Canada, Thailand etc. She has organized many national and international conferences and workshops. She is Founder President and Vice president of Bangladesh Medical Physics Society (BMPS), Vice President, Bangladesh Association of Women Scientists (BAWS), Regular Associate member , ICTP, member, Bangladesh Physical Society (BPS), European Society for Thera-peutic Radiology and Oncology (ESTRO), Association of Medical Physicists of India (AMPI), American Association of Physicists in Medicine (AAPM) and also member of Scientific Committee, Asia–Oceania Federation of Organizations for Medical Physics, (AFOMP). She is selected executive member for Asia and Pacific Region of Organization for Women in Science for the Developing World (OWSDW), Italy.

Autism Spectrum Disorder: Pathway of Care in Bangladesh Prof. Md. Golam Rabbani

Professor of Psychiatry & Chairman, Autism and NDD Trust, MSW, Government of Bangladesh

AbstractFew years ago autism was a little-known issue in Bangladesh. Now, autism has drawn more attention due to its’ ever-grow-ing prevalence and burden concern. In several studies the prevalence of autism in Bangladesh has found 20-84/1000 Children. Objectives of this presentation are to discuss the achievements, challenges and future prospects of the service delivery for the children with autism in Bangladesh. In spite of several limitations like lack of skilled manpower in this sector and limited infrastructures Bangladesh have tremendous achievements in service delivery and policy making on autism.Established Institute of Pediatric Neurodisorders and Autism (IPNA) on 2014, conducted a community based survey on childhood mental illness on 2009, hosted the first Regional Conference on Autism Spectrum Disorders and Development Disabilities in Bangladesh and South Asia in 2011, unanimously adopted the Dhaka Declaration for Autism and Develop-mental Disabilities in 2011, Passed Neurodevelopmental disability protection trust act 2013 and Disability rights and protec-tion act 2013 in National Parliament of Bangladesh, and played as an initiator of the resolution on autism “Comprehensive and Coordinated Efforts for the Management of Autism Spectrum Disorders” (ASD) 2014 World health assembly are the mile stones in the achievement path of autism in Bangladesh.Dearth of skilled manpower to encounter autism spectrum disorder, lack of awareness and stigma regarding autism and other neorodevelopmental disabilities, absence of coordinated strategy, policy and action and difficulty in accessibility and afford-ability of health care are the key challenges for Bangladesh in the context of Autism Spectrum disorder service provision.As the Autism Spectrum Disorder burden grows, integrating Autism Spectrum Disorder prevention and management into primary health care is essential. The following measures should be taken to address the key challenges, translation of Autism Spectrum Disorder strategies into activities, capacity development of the service providers for providing quality services, scaling up of essential Autism Spectrum Disorder screening, diagnostic and intervention facilities throughout the country, development of National Communication Strategy for Health Promotion on Autism Spectrum Disorder, reduction of out of pocket expenditure by families.There is an urgent need to develop and execute appropriate strategies, with high level of political commitment and necessary funding to facilitate service provision for persons with Autism Spectrum Disorder part of the integrated development and health agenda of Bangladesh. Building capacity within the health workforce will maximize opportunities early detection, management and intervention. A combination of measures and interventions are required at multiple levels in tandem with effective and rigorous formative researchDeveloped effective training manuals, collaborative studies on this issue, conducted nationwide broad based survey, alloca-tion of adequate budget for Autism and other neurodevelopmental disabilities, enhance the public and professional aware-ness, and integrated the e-health services for the children with autism are the future plans for Bangladesh.


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Research in Biomedical Signal Processing: Challenges, Opportunities and ContributionProf. Dr. Mohiuddin Ahmad

Professor, Department of Electrical and Electronic Engineering,Khulna University of Engineering & Technology, Bangladesh

AbstractIn perspective of not only Bangladesh but also throughout the world, the necessity of Biomedical Engineering is growing to an enormous position in a variety of fields. Now a day, many public as well as private universities are opening Biomedical Engineering Department as well as most of the professors become more interested to deal their researches in this field. Though this requirement becomes so critical, we realized this requirement around 10 years ago and BME department of KUET started its journey in 2007 as a postgraduate department. Initially, it was a great challenge to introduce with the equipment related to biomedical signal acquisition for both price and lack of non-ex-pert persons. Nevertheless, with a wide dedication of the researchers, professors, and postgraduate students Biomedi-cal Signal Processing Laboratory was established on 2009 and consequently research works started. With times, we faced problem for lacking of latest signal acquisition modalities for continuing with new trends of Biomedical Engi-neering Researches like Functional Neuro Imaging, Advanced Brain Monitoring, Brain Computer Interface, etc. To overcome this challenges, with the acknowledge of UGC, HEQEP, CP#3472, under subproject of Postgraduate research in BME, we have established two world class laboratories in KUET which are named by Advanced Bio-Sig-nal Laboratory and Neuro Imaging Laboratory with latest acquisition technology. These laboratories are able to cover the research fields of Functional Neuro Imaging, Cognitive State Analysis, Brain Computer Interface, Wireless Phys-iological Signal Acquisition, Neural Activity Estimation, Deep Anesthesia and Pain Assessment, Patient’s Activity Monitoring, etc. From BME department, already six candidates accomplished their research works for M.Sc. Engi-neering degree. At Present, more than twenty post graduate students (M.Sc. and PhD) are engaged in their researches under this Department. Based on the research works of the postgraduate and undergraduate students of KUET, more than 50 articles are published in different reputed international conference and journals. Therefore, in the field of Biomedical Signal Processing, we are contributing with a unique identity of achievements.

BiographyDr. Mohiuddin Ahmad received his B.Sc. (Eng.) degree in Electrical and Electronic Engineering (EEE) from Chittagong University of Engineering & Technology (CUET), Bangladesh in 1994 with honors grade. He was honored with Gold medal for securing highest CGPA among all the recipi-ents for the batch. He completed his MS degree Biomedical Engineering from Kyoto Institute of Technology (KIT) of Japan in 2001. He received his PhD degree in Computer Science & Engineer-ing from Korea University, Republic of Korea, in 2008. From November 1994 to August 1995, he

served as a part-time Lecturer in the Department of EEE, CUET, Bangladesh. From August 1995 to October 1998, he served as a Lecturer in the Dept. of EEE at Khulna University of Engineering & Technology (KUET), Bangladesh. In June 2001, he joined the same Department as an Assistant Professor. In May 2009, he joined the same Department as an Associate Professor and now he is a full Professor. Moreover, Dr. Ahmad had been serving as the Head of the Department of Biomedical Engineering from October 2009 to September 2012.

BiographyProf. Dr. Md. Golam Rabbani is a professor of Psychiatry, National Institute of Mental Health, Dhaka, Bangladesh. He obtained MBBS in 1980, FCPS (Psyche) in 1988. He is a life member of Bangladesh Medical Association, Bangladesh Association of Psychiatrists, Bangla-desh College of Physicians & Surgeons. He attended many Seminars, Symposiums and Confer-ences on Psychiatry at National and International level like U.S.A., Sri Lanka, Italy, Switzerland, Hong Kong, U.K., Germany, India, Czech Republic, Spain, Japan, Netherlands, Austria, France, etc.


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Prof. Ahmad served as the Head of the Department of EEE from September 2012 to August 2014. From July 2014, Prof. Ahmad has been serving as the Sub-Project Manager (SPM) of the UGC, HEQEP, Sub-Project, CP#3472, titled on Postgraduate Research in BME, where he established two-high class laboratories – (i) Advanced Biomedical Signal Processing Lab, (ii) Neuro-imaging Lab. His research interests include biomedical signal, image, and video processing, clinical engineering & healthcare analysis, human motion analysis, neuro-imaging, biomedical circuits and systems, and energy analysis. Till now he has supervised one PhD and nine M.Sc. Eng. Candidates. At present, four PhD candidates and more than 10 M.Sc. Eng. Candidates are performing their research works. In addition with that Prof. Dr. Mohiuddin Ahmad was also supervised as an external examiner of more than 14 postgraduate (M.Sc. & PhD) students. He has more than 120 research articles in reputed International Conferences and Journals.

Neuromechanics and Nervous Systems: from Insects to In-Vivo MechatroncisDr. Ravi Vaidyanathan

Imperial College London

AbstractMechatronics is the synergistic combination of precision engineering, electronic control, and systems thinking in the design of products and manufacturing processes. Bio-Mechatronics may be viewed as its extension fused with influence from biological systems; i.e. mechatronic systems designed based on inspiration from neural and physiological systems. In animals, for example, intrinsic properties of the musculoskeletal system augment the neural stabilization of the organism for an array of critical of functions. Modeling this hierarchical coupling for implementation in robotic systems has spurred innovation in medicine, cybernetics, and mobile robots. The talk review research in mapping mechanisms of sensory-motor control, specifically with respect to systems-level coupling between mechanics and neurophysiology. The core hypothesis is the idea that complex behavior emerges from the interaction of an entity with its environment as a result of sensory-motor activity; interactions among a breadth of subsystems must be tuned and adapted to achieve this objective. Architectures founded upon biological inspiration will be summarized with specific examples from the speaker’s work, including recent research that has been featured in New Scientist, Flight Global, and The Engineer magazines and on television specials produced by the BBC, Tokyo Broadcasting Systems, and the Discovery Channel. Applications highlighted will include medical and mobile robotic systems including: insect-inspired mobile robots, cybernetic robot exoskeletons, and brain-im-plant and robot interface systems..

Biography Ravi Vaidyanathan is a Senior Lecturer in Bio-Mechatronics at Imperial College London, UK. Dr. Vaidyanathan has led more than 20 separate research programs supported in USA, Singapore, and UK, authored over 100 refereed publications and is a named inventor four pending patents. His research has been recognized internationally awards from SAGE Journals, the Institute of Electrical and Electronics Engineers (IEEE), American Institute of Aeronautics and Astronautics (AIAA), and the Robotics Society of Japan (RSJ) including: “Best Paper” at the IEEE International Conference on Intelligent Robots and Systems, “Best Paper” in the Journal of Systems and Control Engineering, and being a

finalist for the “New Technology Foundation Research Award on Entertainment Robots and Systems” awarded by the IEEE and the RSJ in recognition of the most innovative research in robotics over the 20 year period of 1987-2007. In 2016 his laboratory was awarded the UK “National Health Service (NHS) Innovation Award” as well as the UK Institute of Engineering Technology (IET) ‘Most Promising Innovation in Robotics’ award for their research in neuroroboitcs. Revolu-tionary aspects have also been featured by: the BBC, New Scientist, The Engineer, Inc. Magazine, IEEE Institute, Flight Global Magazine, The Times of India, The Discovery Channel, and the Tokyo Broadcasting Company and have been invited for presentation to the US Pentagon and UK Parliament. His laboratory has supported the formation of four spinout companies in biorobotics and mechatronics. He is currently co-chair of the IEEE Robotics and Automation Society Techni-cal Advisory Committee on Biorobotics


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Prospects of Medical Engineering and Technology Education, Research and Professionals in Bangladesh: Challenges and Opportunities

Mr. Anwar Hossain Specialist in Health Care Technology Management, Technical Manager (Repair). NEMEMW & TC, MoH & FW,

Government of Bangladesh

Abstract

Over the few decades, the technologically advanced countries have been recognizing that healthcare delivery performance (HCDP) of the hospitals have coming under the spotlight of medical engineering professional. That is why; they have been developing medical engineering (ME) educational module and have been introducing MEs in their Healthcare Organiza-tions. This article deals with prospects of medical engineering and technology education, research and professionals in Bangladesh. Moreover challenges and opportunities of medical engineering and professionals includes in this paper. Healthcare has increasingly become technology driven and requires educated trained manpower to keep pace with the growing demand for professionals. It is seen that the future demand of medical engineering professionals (MEPs) are very high to meet up the requirements of health care technology. As the development of medical technology is continually and hence the higher education and research on MEP in Bangladesh is the great challenges to enhance the healthcare delivery performance. This study will enhance the MEP educational module and diagnoses the opportunities of MEPs in the differ-ent stages of healthcare management system like other countries. Author firmly believes that this study will improve the practical oriented MPE’s educational and research module. As the return on investment describes of MEPs for the health-care and hence healthcare stakeholders will understand the necessity of MEP educational module. The outcome of the study will promote to produce educated and trained MEPs.

BiographyMd. Anwar Hossain completed B.Sc. Engineering in EEE from KUET since 1990 and joined in NICVDH, Dhaka, Bangladesh as Trainee Biomedical Engineer. In 1993 he completed PGT in Electro-medical engineering. He joined at NEMEWMW & TC, MoH & FW, and Dhaka as Section manager of medical electronic wing in 1994. In 1996 to 2001 he worked as Sr. Biomedical Engineer; He completed his PGD in CSE from US, Software under Gramin Education Stare School in 2001. He worked as Head of X-ray engineering section at NEMEME and TC from 2001-2004. From 2005-2007,

he served at EPI program as Sr. Cold Chain Engineer. 2008-2013 he worked as Technical Manager Training at NEME-MEW & TC. More than 3000 participants were attended in his training program under his active supervision. He complet-ed MS in Biomedical engineering from KUET since 2011. 2013-2014, he worked as National Biomedical Engineering Consultant at MSH under USAID Program. He has been continuing his job as Technical Manager Maintenance and Chief training counselor since 2014 to till. He published more than 20 training manuals for trainees on HCTM. More than 12 number international conference papers and 5 numbers international Journal paper were published by him. Now he is waiting for his PhD in BME defenses. He attended more than 100 international / national conferences /seminars/sympo-siums /workshops as presenter and participant.

Professional affiliation: Member of IEEE, IEB (LF), FACE, Advisor of CCE, General Secretary of CEAB, Research head of NEMEMW & TC, M(BCS), Affiliation with NLTL, Malaysia, ICEHCTMC, China, External of P. tech ( EME). Journal paper reviver on Medical Radiology and Imagining.


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Abstracts of Registered Papers

Inpainting Multiple Sclerosis Lesions for Improving Registration Performance with Brain AtlasMoshiur R Farazi1, Fahim Faisal2, Zaied Zaman3, Soumik Farhan4

1-4Islamic University of [email protected], [email protected], [email protected], [email protected]

Abstract—Multiple sclerosis (MS) is a inflammatory autoimmune disease of the central nervous system which damage the myelin layer of White Matter (WM) and Grey Matter (GM). The loss of myelin layer (demyelin-ation) exposes the WM and GM, which is viewed as lesions in the MRI brain scans. To treat and monitor the progression of MS in standardized way, patient MRI brain scans are registered with brain atlas. However, in this registration step, the MS lesions create a strong distortion in the output transformation which creates a bias in registered image. In this paper, we propose a novel image inpainting technique to reduce such bias. Image inpainting is used to reconstruct the lost or deteriorated parts of image data. We inpaint the MS lesions to make it appear like healthy tissue and register this inpainted MS brain with the brain atlas, and add the masked lesions afterwards. To evaluate the performance of our proposed inpainting algorithm, we employ a two step evaluation process. Firstly, we inpaint distorted 2D images and artificial MS lesions in 3D MRI image data with our proposed and state-of-theart methods. Secondly, we register the inpainted brain with an atlas and compare its performance with the ground truth. This two step evaluation indicates that the proposed inpainted algorithm performs comparatively better than other state-of-theart methods and it also increases the registration perfor-mance and significantly reduces the bias previously created by the MS lesions.

Bangladeshi Sign Language Recognition Using Fingertip Position1Syed Tauhid Ahmed, 2M. A. H. Akhand

1-2Khulna University of Engineering and [email protected]

Abstract—Sign language is the only means of communication for deaf and dump people which uses manual communication and body language to convey meaning. For any sign language, an interpreter is essential to com-municate with deaf and dump people. To enhance interaction with community, Sign Language Recognition (SLR) is a growing field of research now a days. The task of SLR is language specific and a number of prominent works are available for few major languages. On the hand, the works are very few for Bangladeshi Sign Language (BSL) although Bangla is a major language and Bangladesh has a large community of deaf and dumb people. In this study a BSL recognition scheme has been investigated based on fingertip position. The method considered relative tip positions of five fingers in two dimension space and position vectors are used to train artificial neural network (ANN) for recognition purpose. The method seems efficient with respect to ANN train-ing with pixel values of image as of previous studies. The proposed method has been tested on a prepared data set of 518 images of 37 signs and achieved 99% recognition rate. The proposed method is found better than exiting BSL recognition methods.

Documents

Program Schedule - United International Universitymeditec.uiu.ac.bd/wp-content/uploads/2016/12/schedule-meditec.pdf · Abduallh Al Helal, Abdul Mukit and Raqibul Mostafa Improvement