Abstract
Computer-based rehabilitation systems have emerged as promising assistive tools for effective training and diagnosis and gained popularity in clinical settings. For many patients, home-based rehabilitation can be really beneficial in their therapy journeys since it can eliminate the obstacles encountered by many of them in clinics, such as travel distance and cost. However, an effective home-training system requires a good adaptation mechanism that conforms to both the patient's abilities and the therapist's performance requirements. This paper introduces a Web-enabled wrist rehabilitation framework that adopts the fuzzy logic approach to provide adaptive tasks for the patient while considering the therapist training guidance. We also assess the effectiveness of the framework while coping with different training parameters by simulating a number of performance scenarios and experimenting with normal subjects. Simulation results, as well as experimental analysis, demonstrated the ability of the proposed framework to adapt to patient's performance and therapist's feedback.
| Original language | English (US) |
|---|---|
| Article number | 6623105 |
| Pages (from-to) | 135-144 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 63 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2014 |
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Keywords
- Fuzzy logic
- medical measurement
- stress ball
- tangible user interface
- wrist rehabilitation
ASJC Scopus subject areas
- Instrumentation
- Electrical and Electronic Engineering
Cite this
A fuzzy-based adaptive rehabilitation framework for home-based wrist training. / Karime, Ali; Eid, Mohamad; Alja'Am, Jihad Mohamad; Saddik, Abdulmotaleb El; Gueaieb, Wail.
In: IEEE Transactions on Instrumentation and Measurement, Vol. 63, No. 1, 6623105, 01.01.2014, p. 135-144.Research output: Contribution to journal › Article
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TY - JOUR
T1 - A fuzzy-based adaptive rehabilitation framework for home-based wrist training
AU - Karime, Ali
AU - Eid, Mohamad
AU - Alja'Am, Jihad Mohamad
AU - Saddik, Abdulmotaleb El
AU - Gueaieb, Wail
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Computer-based rehabilitation systems have emerged as promising assistive tools for effective training and diagnosis and gained popularity in clinical settings. For many patients, home-based rehabilitation can be really beneficial in their therapy journeys since it can eliminate the obstacles encountered by many of them in clinics, such as travel distance and cost. However, an effective home-training system requires a good adaptation mechanism that conforms to both the patient's abilities and the therapist's performance requirements. This paper introduces a Web-enabled wrist rehabilitation framework that adopts the fuzzy logic approach to provide adaptive tasks for the patient while considering the therapist training guidance. We also assess the effectiveness of the framework while coping with different training parameters by simulating a number of performance scenarios and experimenting with normal subjects. Simulation results, as well as experimental analysis, demonstrated the ability of the proposed framework to adapt to patient's performance and therapist's feedback.
AB - Computer-based rehabilitation systems have emerged as promising assistive tools for effective training and diagnosis and gained popularity in clinical settings. For many patients, home-based rehabilitation can be really beneficial in their therapy journeys since it can eliminate the obstacles encountered by many of them in clinics, such as travel distance and cost. However, an effective home-training system requires a good adaptation mechanism that conforms to both the patient's abilities and the therapist's performance requirements. This paper introduces a Web-enabled wrist rehabilitation framework that adopts the fuzzy logic approach to provide adaptive tasks for the patient while considering the therapist training guidance. We also assess the effectiveness of the framework while coping with different training parameters by simulating a number of performance scenarios and experimenting with normal subjects. Simulation results, as well as experimental analysis, demonstrated the ability of the proposed framework to adapt to patient's performance and therapist's feedback.
KW - Fuzzy logic
KW - medical measurement
KW - stress ball
KW - tangible user interface
KW - wrist rehabilitation
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U2 - 10.1109/TIM.2013.2277536
DO - 10.1109/TIM.2013.2277536
M3 - Article
VL - 63
SP - 135
EP - 144
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
SN - 0018-9456
IS - 1
M1 - 6623105
ER -