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research article

A Wearable Ultrasound Interface for Prosthetic Hand Control

Yin, Zongtian
•
Chen, Hanwei
•
Yang, Xingchen  
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November 1, 2022
Ieee Journal Of Biomedical And Health Informatics

Ultrasound can non-invasively detect muscle deformations and has great potential applications in prosthetic hand control. Traditional ultrasound equipment was usually too bulky to be applied in wearable scenarios. This research presented a compact ultrasound device that could be integrated into a prosthetic hand socket. The miniaturized ultrasound system included four A-mode ultrasound transducers for sensing musculature deformations, a signal excitation/acquisition module, and a prosthetic hand control module. The size of the ultrasound system was 657525 mm, weighing only 85 g. For the first time, we integrated the ultrasound system into a prosthetic hand socket to evaluate its performance in practical prosthetic hand control. We designed an experiment requiring twenty subjects to perform six commonly used gestures. The performance of decoding ultrasound signals was analyzed offline using four classification algorithms and then was assessed in online control. The average values of online classification accuracy with and without wearing the physical prosthetic were 91.5 +/- 6.4% and 96.5 +/- 3.0%, respectively. We found that wearing the prosthetic hand influenced the ultrasound gestures classification accuracy, but remarkable online classification performance could still be maintained. These experimental results demonstrated the efficacy of the designed integrated ultrasound system for practical use, paving the way for an effective HMI system that could be widely used in prosthetic hand control.

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Type
research article
DOI
10.1109/JBHI.2022.3203084
Web of Science ID

WOS:000882005700016

Author(s)
Yin, Zongtian
•
Chen, Hanwei
•
Yang, Xingchen  
•
Liu, Yifan
•
Zhang, Ning
•
Meng, Jianjun
•
Liu, Honghai
Date Issued

2022-11-01

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Published in
Ieee Journal Of Biomedical And Health Informatics
Volume

26

Issue

11

Start page

5384

End page

5393

Subjects

Computer Science, Information Systems

•

Computer Science, Interdisciplinary Applications

•

Mathematical & Computational Biology

•

Medical Informatics

•

Computer Science

•

a-mode ultrasound

•

gesture recognition

•

miniaturized ultrasound system

•

prosthetic hand control

•

myoelectric control

•

classification

•

motion

•

recognition

•

forearm

•

scheme

•

images

•

system

•

wrist

•

emg

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UPCOURTINE  
Available on Infoscience
December 5, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/193015
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