research-article

Remote physiotherapy treatments using wireless body sensor networks

Authors:

A. Taleb-bendiab,

A. El RhalibiAuthors Info & Claims

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

Pages 1191 - 1197

https://doi.org/10.1145/1582379.1582640

Published: 21 June 2009 Publication History

Abstract

Technology plays an important role in both primary and secondary healthcare. With widespread use of mobile devices and ubiquitous communications, new and novel platforms are emerging to administer care. Ordinary and everyday appliances used in the home are becoming integral components within these platforms and this could potentially revolutionise how health related information is monitored, accessed and used to administer better treatments. Despite the many challenges that exist, such platforms will allow for better exploitation of networked devices to provide benefits to patients with conditions, such as arthritis and back pain. Currently these conditions are treated through physiotherapy sessions in the community, which are often costly and difficult to resource. Physiotherapists alternate between patients. This means that assessments are sporadic and subjective. This paper aims to address these limitations using a system to implement body area and sensor networks within the home with data management functions for collecting and storing motion data. This data can be accessed via the home or remotely in one or more medical facilities. Using this data, quantitative assessments are performed and used to measure the patient's progress. A case study is presented that successfully illustrates tour approach.

References

[1]

M. Buckland, B. Frost, and A. Reeves, Liverpool Telecare Pilot: Telecare as an Information Tool. Informatics in Primary Care, 2006. 14(3): p. 191--196.

[2]

T. L. Hayes, P. Pavel, N. Larimer, I. A. Tsay, J. Nutt, and A. G. Dami, Distributed Healthcare: Simultaneous Assessment of Multiple Individuals. IEEE Pervasive Computing, 2007. 6(1): p. 36--43.

Digital Library

[3]

J. Finkelstein, M. R. Cabrera, and G. Hripcsak, Internet-Based Home Asthma Telemonitoring: Can patients handle the technology. Chest, 2000. 117(1): p. 148--155.

[4]

N. Hosker, Exploiting the potential of Informatics in health care. Nurse Prescribing, 2007. 4(9): p. 391--394.

[5]

A. Authier, P. Boissy, J. Beauvais, and R. Fontaine, A Proof of Concept for a Wireless Ambulatory Weight Bearing Measurement System in Rehabilitation and Telerehabilitation Applications. 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2007, New York, USA: IEEE Computer Society, p. 73--73.

Digital Library

[6]

M. Bailey-Van Kuren and D. Scarborough, Mechatronic Applications in Paediatric Therapy Devices. IEEE International Conference on Advanced Intelligent Mechatronics, 2005, Monterey, California, USA: IEEE Computer Society, p. 570--575.

[7]

R. A. R. C. Gopura and K. Kiguchi, EMG-Based Control of an Exoskeleton Robot for Human Forearm and Wrist Motion Assist. IEEE International Conference on Robotics and Automation, 2008, Pasadena, CA, USA: IEEE Computer Society, p. 731--736.

[8]

D. S. Anreasen, A. A. Aviles, S. K. Allen, K. B. Guthrie, B. R. Jennings, and S. H. Springle, Exoskeleton for Forearm Pronation and Supination Rehabilitation. 26th IEEE International Conference on Engineering in Medicine and Biology Society, 2004, Turkey: IEEE Computer Society, p. 2714--2717.

[9]

S. K. S. Gupta and L. Schwiebert, Dependable Pervasive Health Monitoring. Workshop on High Confidence Medical Device Software and Systems (HCMDSS), 2005, University of Pennsylvania, Philadelphia, PA, USA: University of Pennsylvania, p.

[10]

E. Jovanov, A. Milenkovic, C. Otto, and P. C. de Groen, A Wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. Journal of NeuroEngineering and Rehabilitation, 2005. 2(1): p. 6.

[11]

Y. Tao and H. Hu, A Novel Sensing and Data Fusion System for 3-D Arm Motion Tracking in Telerehabilitation. IEEE Transactions on Instrumentation and Measurement, 2008. 57(5): p. 1029--1040.

[12]

S. Zhang, H. J., and H. Zhou, An interactive Internet-based system for tracking upper limb motion in home-based rehabilitation. Medical and Biological Engineering and Computing, 2008. 46(3): p. 241--249.

[13]

B. Rosenhahn, T. Brox, and H. Seidel, Scaled Motion Dynamics for Markerless Motion Capture. IEEE Conference on Computer Vision and Pattern Recognition, 2007, Hyatt Regency Hotel, Minneapolis, Minnesota: IEEE Computer Society, p. 1--8.

[14]

A. Sundaresan and R. Chellappa, Markerless Motion Capture using Multiple Cameras. IEEE Conference on Computer Vision for Interactive and Intelligent Environments, 2005, Lexington, Kentucky, USA: IEEE Computer Society, p. 15--26.

Digital Library

[15]

H. Zhou, T. Stone, H. Hu, and N. Harris, Use of multiple wearable inertial sensors in upper limb motion tracking. Medical Engineering & Physics, 2008. 30(1): p. 123--133.

[16]

H. Zhou and H. Hu, Human motion tracking for rehabilitation -- A Survey. Biomedical Signal Processing and Control, 2007. 3(1): p. 1--18.

[17]

H. Zheng, N. D. Black, and N. D. Harris, Position-sensing technologies for movement analysis in stroke rehabilitation. Medical and Biological Engineering and Computing, 2005. 43(4): p. 413--420.

[18]

E. Brostrom, S. Hagelberg, and Y. Haglund-Akerlind, Effect of joint injections in children with Juvenile Idiopathic Arthritis: evaluation by 3D-Gait Analysis. Acta Paediatrica, 2004. 93(7): p. 906--910.

[19]

N. Kin, Y. Jeong, S. Song, and D. Shin, Middleware Interoperability based Mobile Healthcare System. The 9th IEEE International Conference on Advanced Communication Technololgy, 2007, Phoenix Park, Gangwon-Do, Republic of Korea: IEEE Computer Society, p. 209--213.

[20]

B. Lin, K. Choi, and D. Shin, A JXTA-based Architecture for Efficient and Adaptive Healthcare Services. International Conference on Convergence in Broadband and Mobile Networking, 2005, Jeju Island, Korea: Springer, p. 776--785.

Digital Library

[21]

M. Merabti, P. Fergus, O. Abuelma'atti, H. Yu, and C. Judice, Managing Distributed Networked Appliances in Home Networks. Proceedings of the IEEE Journal, 2008. 96(1): p. 166--185.

[22]

S. Shen, R. Sprick, and S. Goddard, Comparison of Three Kalman Filters for an Indoor Passive Tracking System. IEEE Electro/Information Technology, 2007, Chicago IL, USA: IEEE Computer Society, p. 284--289.

Cited By

Gharsi NKamyar MShahbazi M(2025)Smart sensor-based activity recognition for patients in healthcareAdvanced Sensors for Smart Healthcare10.1016/B978-0-443-24790-3.00029-6(479-502)Online publication date: 2025
https://doi.org/10.1016/B978-0-443-24790-3.00029-6
Chaudhari ALokesh RChheang VDoshi SBarmaki RCashaback JThostenson E(2024)Characterizing the Sensing Response of Carbon Nanocomposite-Based Wearable Sensors on Elbow Joint Using an End Point Robot and Virtual RealitySensors10.3390/s2415489424:15(4894)Online publication date: 28-Jul-2024
https://doi.org/10.3390/s24154894
Sim CHeah EZhan XMuzini NKoh DWong KHowe TKoh J(2023)A prolonged pandemic impacts the mental health of orthopaedic patientsProceedings of Singapore Healthcare10.1177/2010105823117838032Online publication date: 22-May-2023
https://doi.org/10.1177/20101058231178380
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Remote physiotherapy treatments using wireless body sensor networks

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cover image ACM Conferences

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

June 2009

1561 pages

ISBN:9781605585697

DOI:10.1145/1582379

General Chairs:
Mohsen Guizani
Kuwait Univ. and Western Michigan University
,
Peter Mueller
IBM, Switzerland
,
Klaus-Peter Fähnrich
University of Leipzig, Germany
,
Program Chairs:
Athanasios (Thanos) Vasilakos
University of Western Macedonia, Greece
,
Yan Zhang
Simula Research Laboratory, Norway
,
Jun Zhang
University of Ottawa, Canada

Copyright © 2009 ACM.

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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Published: 21 June 2009

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IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference

June 21 - 24, 2009

Leipzig, Germany

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Cited By

Gharsi NKamyar MShahbazi M(2025)Smart sensor-based activity recognition for patients in healthcareAdvanced Sensors for Smart Healthcare10.1016/B978-0-443-24790-3.00029-6(479-502)Online publication date: 2025
https://doi.org/10.1016/B978-0-443-24790-3.00029-6
Chaudhari ALokesh RChheang VDoshi SBarmaki RCashaback JThostenson E(2024)Characterizing the Sensing Response of Carbon Nanocomposite-Based Wearable Sensors on Elbow Joint Using an End Point Robot and Virtual RealitySensors10.3390/s2415489424:15(4894)Online publication date: 28-Jul-2024
https://doi.org/10.3390/s24154894
Sim CHeah EZhan XMuzini NKoh DWong KHowe TKoh J(2023)A prolonged pandemic impacts the mental health of orthopaedic patientsProceedings of Singapore Healthcare10.1177/2010105823117838032Online publication date: 22-May-2023
https://doi.org/10.1177/20101058231178380
Heiyanthuduwa TNikini Umasha Amarapala KVinura Budara Gunathilaka KRavindu KWickramarathne JKasthurirathna D(2020)VirtualPT: Virtual Reality based Home Care Physiotherapy Rehabilitation for Elderly2020 2nd International Conference on Advancements in Computing (ICAC)10.1109/ICAC51239.2020.9357281(311-316)Online publication date: 10-Dec-2020
https://doi.org/10.1109/ICAC51239.2020.9357281
Brennan LDorronzoro Zubiete ECaulfield B(2019)Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping ReviewSensors10.3390/s2001018120:1(181)Online publication date: 28-Dec-2019
https://doi.org/10.3390/s20010181
Ananthanarayan SSheh MChien AProfita HSiek KHein ABoll SKöhler F(2014)Designing wearable interfaces for knee rehabilitationProceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare10.4108/icst.pervasivehealth.2014.254932(101-108)Online publication date: 20-May-2014
https://dl.acm.org/doi/10.4108/icst.pervasivehealth.2014.254932
Yurtman ABarshan B(2014)Detection and evaluation of physical therapy exercises from wearable motion sensor signals by dynamic time warping2014 22nd Signal Processing and Communications Applications Conference (SIU)10.1109/SIU.2014.6830523(1491-1494)Online publication date: Apr-2014
https://doi.org/10.1109/SIU.2014.6830523
Yurtman ABarshan B(2014)Automated evaluation of physical therapy exercises using multi-template dynamic time warping on wearable sensor signalsComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2014.07.003117:2(189-207)Online publication date: 1-Nov-2014
https://dl.acm.org/doi/10.1016/j.cmpb.2014.07.003
Nerino RContin Lda Silva Pinto WMassazza GActis MCapacchione PChimienti APettiti GSuzuki JWang H(2013)A BSN based service for post-surgical knee rehabilitation at homeProceedings of the 8th International Conference on Body Area Networks10.4108/icst.bodynets.2013.253679(401-407)Online publication date: 30-Sep-2013
https://dl.acm.org/doi/10.4108/icst.bodynets.2013.253679
Ananthanarayan SSheh MChien AProfita HSiek KMackay WBrewster SBødker S(2013)Pt VizProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2470654.2466161(1247-1250)Online publication date: 27-Apr-2013
https://dl.acm.org/doi/10.1145/2470654.2466161
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