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November 2019Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)
Submission Title: [WNG Higher speed wireless body area networks are required for implantable brain-machine interfaces]Date Submitted: [18 July 2019]Source: [Masayuki Hirata1, Takafumi Suzuki2] [1; Dept. of Neurological Diagnosis and Restoration, Graduate School of Medicine, Osaka University, 2; Center for Information and Neural Networks(CiNet), National Institute of Information and Communication Technology(NICT)]Address [1; 2-2 Yamadaoka, Suita, Osaka, 565-0871
2; 1-4 Yamadaoka, Suita, Osaka, 565-0871]Voice:[1; +81-6-6210-8429, 2;+81- 80-9098-3264], FAX: [+81-6-6210-8430],Email:[1; [email protected], 2;[email protected]] Re: []Abstract: [A important use case of dependable body area network(WBAN) for implanted devices is introduced to perform reliable and massive data for implantable brain machine interface to require amendment for IEEE802.15.6 wireless medical body area network.]Purpose: [information]Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P802.15.
November 2019 docdoc..::
Submission Slide 1 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 - 0dep
Higher speed wireless body area networks are required
for implantable brain-machine interfaces
Masayuki HirataDepartment of Neurological Diagnosis and Restoration,
Osaka University Graduate School of Medicine
Takafumi SuzukiCenter for Information and Neural Networks,
NICT
Submission Slide 2 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0dep
Brain Machine Interfaces
Submission Slide 3 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)ission Slide 3 Masayuki Hirata(Osaka University) Takafumi S
doc.: IEEE 802.15-19-0 -0depNovember 2019
Medical potential of implantable BMIs
Submission 4
107
106
105
104
103
ALS
cervical cord injury
spinal cord injury
amputee
stroke
Performance of BMI
Epilepsy
Swallowing disturbancedisttuurrbbaance
Eppiilleepps
cer
Slide 4 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
Fundamental basis of brain decoding: Brain functions are localized.
Submission Slide 5 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
Brain signals used for BMIs
Submission Slide 6 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
dB
time (ms)
frequ
ency
(Hz)
2 4 6
2
4
6
8
10
-2
7
2
4
6
2 4 6
2
4
6
8
10
-2
4
Time-frequency distribution Spatial distribution
high frequency band
Low frequency bands
Brain activity during hand movements
central sulcus
high frequency
i ( )Low frequency
focal
diffuse
High frequency brain activity better reflects functional localization than low frequency activity
SubmissionSlide 7 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
Time (s) Time (s)
High frequency brain activity (80-150Hz) offer highest decoding accuracy
TTTTTTTTTTTiiii ( ))))time-frequency spectrogram time-frequency distribution of
decoding accuracy
movement onset Classification by a SVM
activity
Freq
uenc
y (Hz
)
Freq
uenc
y (Hz
)en
cy
Submission Slide 8 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
ECoG-based real time BMI system (wired)
Submission Slide 9 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
Submission
A clinical research of implantable BMI (wired)
Slide 10 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
Trends in neurosurgical treatments using implantable devices
Submission Slide 11 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
Deep brain stimulation(DBS)
Closed loop DBS
Brain machine interfaces(BMI)
stimulation device
multichannel recording device
stimulation device with recoding function
slow
fast
Responsive Neurostimulator(RNS) for epilepsy
400MHzAnalog data com.
2.4 GHzdigital data com.
UWBdigital data com.
very fast
1st generation100ch
2nd generation4000ch
doc.: IEEE 802.15-19-0 -0depNovember 2019
Deep brain stimulation (DBS) for Parkinson diseasePresent representative implantable device for clinical useElectrical stimulation to the deep brain improves Parkinson symptoms
Submission Slide 12 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
DBS for Parkinson diseaseStimulation is independent of brain activityData transfer is limited to setting stimulation condition.
doc.: IEEE 802.15-19-0 -0depNovember 2019
Vagus nerve stimulation for intractable epilepsy
Electrical stimulation to the vagus nerve reduces the frequency of seizure attack.
Submission Slide 13 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
Stimulation is independent of epileptic activityData transfer is limited to setting stimulation condition.
doc.: IEEE 802.15-19-0 -0depNovember 2019
Closed loop deep brain stimulation (DBS)
Closed loop DBS stimulates the brain based on recorded brain activity
Submission Slide 14 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
Stimulation depends on brain activityData transfer includes a few channels of brain activity.
doc.: IEEE 802.15-19-0 -0depNovember 2019
Responsive neurostimulator (RNS) for intractable epilepsyRNS stimulates epilepsy focus when brain recording detects seizure attack.
Submission
(Sun, Neurotherapeutics, 2008)
Brain recording
Seizure detection
Electrical stimulation
Neuropace
Stimulation depends on epileptic activityData transfer includes a few channels of brain activity.Present 400M Hz analog data transfer satisfies the data transfer demand.
Slide 15 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
Implantable brain machine interface (BMI) Implantable BMIs control robotic arms and communication devices based on recording and decoding of multi-channel brain activity.
Submission Slide 16 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)How fast do implantable BMIs require for wireless data transfer?
doc.: IEEE 802.15-19-0 -0depNovember 2019
Time (s) Time (s)
High frequency brain activity (80-150Hz) offer highest decoding accuracy
1000 Hz sampling rate is required for recording.
TTTTTTTTTTTiiii ( ))))time-frequency spectrogram time-frequency distribution of
decoding accuracy
movement onset Classification by a SVM
activity
Freq
uenc
y (Hz
)
Freq
uenc
y (Hz
)en
cy
Submission Slide 17 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
Freq
uenc
y(H
z)
Time (s)-1.5 -1 -0.5 0 0.5
020406080
100120140160180
dB
-4
-2
0
2
4
-2000 -1500 -1000 -500 0 500 1000-8
-6
-4
-2
0
2
4
6
8
chan001
chan002
chan003
chan004
chan005
chan006
chan007
chan008
chan009
chan010
chan011
chan012
chan013
chan014
chan015
chan016
chan017
chan018
chan019
chan020
chan021
chan022
chan023
chan024
chan025
chan026chan027
chan028
chan029
chan030
chan031
chan032
chan033
chan034
chan035
chan036
chan037
chan038chan039
chan040chan041
chan042
chan043
chan044
chan045
chan046
chan047
chan048
chan049
chan050
chan051
chan052
chan053
chan054
chan055
chan056
chan057
chan058
chan059
chan060
chan061
chan062
chan063
chan064
chan065
chan066
chan067chan068
chan069chan070
chan071
chan072
chan073
chan074
chan075 chan076
chan077
chan078
chan079
chan080
chan081
chan082
chan083
chan084
chan085
chan086
chan087
chan088
chan089
chan090
chan091
chan092
chan093
chan094
chan095
COMNT
Freq
uenc
y(H
z)
Time (s)
-1.5-1-0.50 0.5
0
100
200
dB
-4-2024
in a single trial
Spectrogram of
ECoG ranges from 1
104 order range = 14 bit recording is required
hand knob area
Slide 1 8 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0depNovember 2019
No. of recording channels depends on inter-electrode spacing and recording areas to be covered.
100 ch is required to cover 3cm2
Submission Slide 19 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
Standard clinical ECoG electrodesInterelectrode spacing 10mm
High density ECoG electrodes for implantable BMIsInterelectrode spacing 3mm
doc.: IEEE 802.15-19-0 -0dep
Requirement for data transfer speed of implantable BMI
1st generation:
Sampling rate: 1000HzChannel number: 100ch(Interelectrode spacing: 3mm, coverage 3cm2)
Data transfer speed:14 bit x 1000 Hz x 100 ch = 1.6 Mbps
Submission Slide 20 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
2nd generation:
Sampling rate: 1000HzChannel number: 4000ch(Interelectrode spacing: 1mm, coverage 3cm2 X 4)Data transfer speed:14bit x 1000 Hz x 4000 ch = 64 Mbps
doc.: IEEE 802.15-19-0 -0depNovember 2019
Trends in neurosurgical treatments using implantable devices
Submission Slide 21 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
Deep brain stimulation(DBS)
Closed loop DBS
Brain machine interfaces(BMI)
stimulation device
multichannel recording device
stimulation device with recoding function
slow
fast
Responsive Neurostimulator(RNS) for epilepsy
400MHzAnalog data com.
2.4 GHzdigital data com.
UWBdigital data com.
very fast
1st generation100ch
2nd generation4000ch
doc.: IEEE 802.15-19-0 -0dep
Submission
Summary
Potential medical market of implantable BMIs is promising.
Implantable BMIs require higher speed ( 102Mbps) and secure wireless communication.
Submission Slide 22 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)
doc.: IEEE 802.15-19-0 -0dep
Submission
Thank you for your attention
Submission Slide 23 Masayuki Hirata(Osaka University), Takafumi Suzuki(NICT)