COSC7388: Advanced Topics in Distributed Computing-- Mobile Computing in Smart Health and Well beings

Rong ZhengAssociate Professor@CS

Healthcare reality in US 25.8 million children and adults in the United States—

8.3% of the population—have diabetes 0.26% of population 20 years of age or under

People 65+ represented 12.4% of the population in the year 2000 but are expected to grow to be 19% of the population by 2030 (Administration of Aging)

the United States spent $7,146 on health care per capita and 15.2% percentage of its GDP (WHO)

195,000 Americans die a year due to preventable errors (HealthGrades, 2004)

Life expectancy at birth in the USA, 78.49, is 50th in the world

Needs for better health deliveryOverarching goal: Optimized care decisions by bringing all relevant evidence pertaining to the particular patient to the point of care anywhere and anytime and in user-appropriate forms for all members of the care team

Normalization and harmonization of electronic health records (HER)

Extraction and representation of data, information, and knowledge from diverse unstructured sources

Frequent and large-scale data collection and predictive modeling

Paradigm shiftsInvolvement and enabling of individuals to participate in their care

From reactive to preventive

From clinic-centric to patient-centric, and

From disease-centered to wellness centered

High penetration rate of mobile devices64.7% of world population subscribe to mobile

phone services in 2012 (wikipedia)

1 China 1,046,510,000 1,341,000,000 75.32 June 20122 India 934,094,206 1,211,929,872 76.99 June 20123 US 327,577,529 310,866,000 103.9 June 20114 Brazil 254,948,934 192,379,287 132.52 June 20125 Indonesia 250,100,000 237,556,363 105.28 May 20096 Russia 224,260,000 142,905,200 154.5 July 20117 Japan 121,246,700 127,628,095 95.1 June 20118 Pakistan 119,860,799 178,854,781 68.60 May 20129 Germany 107,000,000 81,882,342 130.1 200910 Nigeria 101,271,578 140,000,000 72.3 May 2012

(Mobile) networking technologies in healthcareSensing

Ubiquitous health data collection Continuous sensing of physiological information

Monitoring of dietary behavior and activities

Diagnosis and care delivery

Access of information at point of care

Cloud-assisted modeling and assessment Early detection

Social networks Patient & physician support group Epidemic disease detection and modeling

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Scope of the classScience and engineering side

Wireless technologies Sensing technologies Mobile platform programming (Windows Mobile 7,

Android) Cloud Software engr. practice

Medical side Viewpoints from medical practitioners

Case studies

Course formatLectures

Guest lectures

Survey presentation

Project discussion and presentation

Semester-long Project Innovative idea needed

Preferably decease-oriented

Survey to understand the state of the art

Design of experiments early on

Processing and interpretation of data

Oral presentation and written report

Use of SVN for code maintenance

Tentative ScheduleDate Topic Lecturer

08/27 Introduction Rong Zheng

09/03 Labor day holiday

09/10 Window Mobile 7 programming/cloud Huy Nguyen

09/17 Wireless standards related to medical applications Rong Zheng

09/24 Sensor design for medical devices Luca Pollonini

10/01 Resource-efficient activity recognition and monitoring Rong Zheng

10/08 Android programming Khuong Vu

10/15 Survey presentation & project proposal Students

10/22 Social networking in healthcare Rong Zheng

10/29 Home monitoring and care for cardiovascular diseases Cliff Dacso

11/05 Privacy and security issues in healthcare Rong Zheng

11/12 Safety and compatibility of RF enabled medical devices

David Nghiem

11/19 Case study in assisted living Rong Zheng

11/26 TBD

12/03 Final project presentation Students