Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders

Konstantin Sonkin; Yoav Zamir; Jason Friedman

doi:10.1109/ICVR46560.2019.8994333

Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders

Konstantin Sonkin, Yoav Zamir, Jason Friedman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper describes a work in process of developing a solution for quality of life improvement for people with severe movement deficit after stroke and brain injuries. The solution is a multimodal brain-computer interface system for motor rehabilitation, which performs real-time decoding of brain and body signals using artificial intelligence methods. The project aims to develop a safe, affordable and portable system, which has the potential to become the key technology for neuro-rehabilitation of patients with severe movement disorders.

Original language	English
Title of host publication	ICVR 2019 - International Conference on Virtual Rehabilitation
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728112855
DOIs	https://doi.org/10.1109/ICVR46560.2019.8994333
State	Published - Jul 2019
Event	2019 International Conference on Virtual Rehabilitation, ICVR 2019 - Tel Aviv, Israel Duration: 21 Jul 2019 → 24 Jul 2019

Publication series

Name	International Conference on Virtual Rehabilitation, ICVR
Volume	2019-July
ISSN (Electronic)	2331-9569

Conference

Conference	2019 International Conference on Virtual Rehabilitation, ICVR 2019
Country/Territory	Israel
City	Tel Aviv
Period	21/07/19 → 24/07/19

Keywords

Brain-Computer interface
EEG
Inertial Measurement Unit
Machine Learning
motor imagery
neuro-rehabilitation

Access to Document

10.1109/ICVR46560.2019.8994333

Cite this

Sonkin, K., Zamir, Y., & Friedman, J. (2019). Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders. In ICVR 2019 - International Conference on Virtual Rehabilitation Article 8994333 (International Conference on Virtual Rehabilitation, ICVR; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVR46560.2019.8994333

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title = "Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders",

abstract = "This paper describes a work in process of developing a solution for quality of life improvement for people with severe movement deficit after stroke and brain injuries. The solution is a multimodal brain-computer interface system for motor rehabilitation, which performs real-time decoding of brain and body signals using artificial intelligence methods. The project aims to develop a safe, affordable and portable system, which has the potential to become the key technology for neuro-rehabilitation of patients with severe movement disorders.",

keywords = "Brain-Computer interface, EEG, Inertial Measurement Unit, Machine Learning, motor imagery, neuro-rehabilitation",

author = "Konstantin Sonkin and Yoav Zamir and Jason Friedman",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Virtual Rehabilitation, ICVR 2019 ; Conference date: 21-07-2019 Through 24-07-2019",

year = "2019",

month = jul,

doi = "10.1109/ICVR46560.2019.8994333",

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Sonkin, K, Zamir, Y & Friedman, J 2019, Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders. in ICVR 2019 - International Conference on Virtual Rehabilitation., 8994333, International Conference on Virtual Rehabilitation, ICVR, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Virtual Rehabilitation, ICVR 2019, Tel Aviv, Israel, 21/07/19. https://doi.org/10.1109/ICVR46560.2019.8994333

Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders. / Sonkin, Konstantin; Zamir, Yoav; Friedman, Jason.
ICVR 2019 - International Conference on Virtual Rehabilitation. Institute of Electrical and Electronics Engineers Inc., 2019. 8994333 (International Conference on Virtual Rehabilitation, ICVR; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Sonkin K, Zamir Y, Friedman J. Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders. In ICVR 2019 - International Conference on Virtual Rehabilitation. Institute of Electrical and Electronics Engineers Inc. 2019. 8994333. (International Conference on Virtual Rehabilitation, ICVR). doi: 10.1109/ICVR46560.2019.8994333

Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders

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