november2019 docdoc..: : ,((( ghs …...closed loop dbs brain machine interfaces (bmi) stimulation...

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


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)


Fundamental basis of brain decoding: Brain functions are localized.



Brain signals used for BMIs



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)


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



ECoG-based real time BMI system (wired)



Submission

A clinical research of implantable BMI (wired)



Trends in neurosurgical treatments using implantable devices


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


Deep brain stimulation (DBS) for Parkinson diseasePresent representative implantable device for clinical useElectrical stimulation to the deep brain improves Parkinson symptoms


DBS for Parkinson diseaseStimulation is independent of brain activityData transfer is limited to setting stimulation condition.


Vagus nerve stimulation for intractable epilepsy

Electrical stimulation to the vagus nerve reduces the frequency of seizure attack.


Stimulation is independent of epileptic activityData transfer is limited to setting stimulation condition.


Closed loop deep brain stimulation (DBS)

Closed loop DBS stimulates the brain based on recorded brain activity


Stimulation depends on brain activityData transfer includes a few channels of brain activity.


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.



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?


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



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

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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)


No. of recording channels depends on inter-electrode spacing and recording areas to be covered.

100 ch is required to cover 3cm2


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


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


Trends in neurosurgical treatments using implantable devices


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.


doc.: IEEE 802.15-19-0 -0dep

Submission

Thank you for your attention


november2019 docdoc..: : ,((( ghs …...closed loop dbs brain machine interfaces (bmi) stimulation...

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