High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Most of the upper limb prosthetic devices are controlled using biological signals, mainly EMG. The main problem with these systems is that the hardware needed for treatment and acquisition of the biosignals are not clear. This paper has presented the design of an interface for acquiring real-time electromyographic signals for a prosthetic upper limb system, considering the stages of acquisition, digitalization and presentation of the information, using a high-speed and high-resolution system. The digitalization system uses a 24-bit, 256-kSPS, 8 channel ADC whose information is read with a SOC ZYNQ-7000 based system, PYNQ. Using the advantages of the PYNQ, the Programmable Logic of the device, ensures the parallel synchronous acquisition, while the Processing System handles the datacasting and the communication of the information.

Original languageEnglish
Title of host publicationAdvances in Human Factors and Ergonomics in Healthcare and Medical Devices - Proceedings of the AHFE 2020 Virtual Conference on Human Factors and Ergonomics in Healthcare and Medical Devices
EditorsJay Kalra, Nancy J. Lightner
PublisherSpringer
Pages125-130
Number of pages6
ISBN (Print)9783030508371
DOIs
StatePublished - 2020
EventAHFE Virtual Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, and the International Conference on Human Factors in Aging and Special Needs, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1205 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, and the International Conference on Human Factors in Aging and Special Needs, 2020
CountryUnited States
CitySan Diego
Period16/07/2020/07/20

Bibliographical note

Publisher Copyright:
© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • ADC
  • EMG
  • High-resolution
  • Multi-channel acquisition
  • Prosthetic devices
  • PYNQ
  • SoC
  • ZYNQ

Fingerprint Dive into the research topics of 'High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control'. Together they form a unique fingerprint.

Cite this