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 language | English |
---|---|
Title of host publication | Advances 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 |
Editors | Jay Kalra, Nancy J. Lightner |
Publisher | Springer |
Pages | 125-130 |
Number of pages | 6 |
ISBN (Print) | 9783030508371 |
DOIs | |
State | Published - 2020 |
Event | AHFE 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 2020 → 20 Jul 2020 |
Publication series
Name | Advances in Intelligent Systems and Computing |
---|---|
Volume | 1205 AISC |
Conference
Conference | AHFE 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 |
---|---|
Country/Territory | United States |
City | San Diego |
Period | 16/07/20 → 20/07/20 |
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