research-article

A cyber-physical system based framework for motor rehabilitation after stroke

Authors:

Xuan Ma,

Xikai Tu,

Jian Huang,

Jiping HeAuthors Info & Claims

ACWR '11: Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief

Pages 285 - 290

https://doi.org/10.1145/2185216.2185294

Published: 18 December 2011 Publication History

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Abstract

Cyber-physical system (CPS) is conveyed as a networked systems which can interact with people in a higher level through more modalities with integration of computation, communication and control. This paper presents a novel framework, based on CPS concept, for a networked interactive home based intelligent motor rehabilitation system to facilitate functional recovery post-stroke. A hierarchical architecture is proposed in this framework. Patients use proper rehabilitation appliances to conduct continuous, repetitive rehabilitation trainings while wireless sensor networks (WSN) collect data related to the patients' functional activities. Higher level devices do data processing and exchange information with networked therapists and other patients on latest available therapies, valuable experts' experiences, and experience generated in the therapy process. Within this framework, it is expected that important information and resources can be utilized in the rehabilitation stages more efficiently for an individual subject. The design, implementation and future work about this CPS-based framework are discussed in this paper.

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Cited By

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Herrera-Luna IRechy-Ramirez ERios-Figueroa HMarin-Hernandez A(2019)Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic ReviewIEEE Sensors Journal10.1109/JSEN.2019.289708319:10(3581-3592)Online publication date: 15-May-2019
https://doi.org/10.1109/JSEN.2019.2897083
Gatouillat ABadr YMassot BSejdic E(2018)Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in MedicineIEEE Internet of Things Journal10.1109/JIOT.2018.28490145:5(3810-3822)Online publication date: Oct-2018
https://doi.org/10.1109/JIOT.2018.2849014
Lourenço JMartins LAlmeida RQuaresma CVieira P(2016)Low Cost Inertial Measurement Unit for Motion Capture in Biomedical ApplicationsTechnological Innovation for Cyber-Physical Systems10.1007/978-3-319-31165-4_16(151-158)Online publication date: 2016
https://doi.org/10.1007/978-3-319-31165-4_16
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Published In

ACWR '11: Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief

December 2011

517 pages

ISBN:9781450310116

DOI:10.1145/2185216

General Chairs:
Rajagopala Chidambaram
Government of India
,
P. Venkat Rangan
Amrita University
,
Satish K. Tripathi
SUNY Buffalo
,
Prasant Mohapatra
UC Davis
,
Program Chairs:
Maneesha V. Ramesh
Amrita University
,
Maarten van Steen
Extreme Distributed Systems, VU, Amsterdam

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 December 2011

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ACWR '11

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ACWR '11: International Conference on Wireless Technologies for Humantiarian Relief ( ACWR 2011 )

December 18 - 21, 2011

Kollam, Kerala, Amritapuri, India

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Cited By

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Herrera-Luna IRechy-Ramirez ERios-Figueroa HMarin-Hernandez A(2019)Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic ReviewIEEE Sensors Journal10.1109/JSEN.2019.289708319:10(3581-3592)Online publication date: 15-May-2019
https://doi.org/10.1109/JSEN.2019.2897083
Gatouillat ABadr YMassot BSejdic E(2018)Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in MedicineIEEE Internet of Things Journal10.1109/JIOT.2018.28490145:5(3810-3822)Online publication date: Oct-2018
https://doi.org/10.1109/JIOT.2018.2849014
Lourenço JMartins LAlmeida RQuaresma CVieira P(2016)Low Cost Inertial Measurement Unit for Motion Capture in Biomedical ApplicationsTechnological Innovation for Cyber-Physical Systems10.1007/978-3-319-31165-4_16(151-158)Online publication date: 2016
https://doi.org/10.1007/978-3-319-31165-4_16
Ariani ASoegijoko S(2014)The Development of Cyber-Physical System in Health Care IndustryComputational Intelligence for Decision Support in Cyber-Physical Systems10.1007/978-981-4585-36-1_3(107-148)Online publication date: 19-Feb-2014
https://doi.org/10.1007/978-981-4585-36-1_3
Kuang ZHu LZhang C(2013)Research on Human Sensory Architecture for Cyber Physical SystemsJournal of Networks10.4304/jnw.8.9.1936-19428:9Online publication date: 10-Sep-2013
https://doi.org/10.4304/jnw.8.9.1936-1942
Kuang ZHu LZhang C(2013)Research on Human Sensory Architecture for Cyber Physical SystemsJournal of Networks10.4304/jnw.8.11.2692-26988:11Online publication date: 16-Oct-2013
https://doi.org/10.4304/jnw.8.11.2692-2698
Tanik UBegley A(2013)An Adaptive Cyber-Physical System Framework for Cyber-Physical Systems Design AutomationApplied Cyber-Physical Systems10.1007/978-1-4614-7336-7_11(125-140)Online publication date: 6-Aug-2013
https://doi.org/10.1007/978-1-4614-7336-7_11

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