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  4. Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback
 
conference paper

Wearable System for Spinal Cord Injury Rehabilitation with Muscle Fatigue Feedback

Milanese, Sofia
•
Marino, Diego
•
Stradolini, Francesca  
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January 1, 2018
2018 Ieee Sensors
17th IEEE SENSORS Conference

The design, realization and verification of a system for personalized rehabilitation of Spinal Cord Injury (SCI) patients are here presented. It consists of two main parts: (i) one induces in the patient the physiotherapic movement proposed by the trainer with Functional Electrical Stimulation (FES) and (ii) the other integrates a muscle fatigue feedback evaluator based on acustic principle by wearable microphone. The importance of this fatigue feedback is crucial since SCI patients are unable to feel muscle soreness, which is an important parameter in FES rehabilitation. Indeed, the efficacy of this treatment is limited by the capacity of the muscle fibers to carry out the induced task. To optimize the feedback module, the performance of two different condenser microphones (analogic and digital) were compared each other as well as with the traditional method based on Electromyogram (EMG). Among these techniques, it was found that the digital microphone provides the best performance in fatigue estimation over time.

  • Details
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Type
conference paper
DOI
10.1109/ICSENS.2018.8589763
Web of Science ID

WOS:000468199300326

Author(s)
Milanese, Sofia
Marino, Diego
Stradolini, Francesca  
Ros, Paolo Motto
Pleitavino, Federico
Demarchi, Danilo
Carrara, Sandro  
Date Issued

2018-01-01

Publisher

IEEE

Publisher place

New York

Published in
2018 Ieee Sensors
ISBN of the book

978-1-5386-4707-3

Series title/Series vol.

IEEE Sensors

Start page

1272

End page

1275

Subjects

Engineering, Electrical & Electronic

•

Remote Sensing

•

Engineering

•

spinal cord injury

•

rehabilitation

•

functional electrical stimulation (fes)

•

muscle fatigue

•

mechanomyography (mmg)

•

electromyography (emg)

•

mechanomyography

•

stimulation

•

microphone

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSI1  
LSI2  
ICLAB  
Event nameEvent placeEvent date
17th IEEE SENSORS Conference

New Delhi, INDIA

Oct 28-31, 2018

Available on Infoscience
June 18, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/157543
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