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

Daniel Proaño-Guevara; Luis Serpa-Andrade

doi:10.1007/978-3-030-50838-8_17

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

Daniel Proaño-Guevara, Luis Serpa-Andrade

Biomedical Engineering Research Group (GIIB)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 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	https://doi.org/10.1007/978-3-030-50838-8_17
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
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

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

Access to Document

10.1007/978-3-030-50838-8_17

Cite this

Proaño-Guevara, D., & Serpa-Andrade, L. (2020). High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. In J. Kalra, & N. J. Lightner (Eds.), 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 (pp. 125-130). (Advances in Intelligent Systems and Computing; Vol. 1205 AISC). Springer. https://doi.org/10.1007/978-3-030-50838-8_17

Proaño-Guevara, Daniel ; Serpa-Andrade, Luis. / High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. 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. editor / Jay Kalra ; Nancy J. Lightner. Springer, 2020. pp. 125-130 (Advances in Intelligent Systems and Computing).

@inproceedings{763aef8dddb848b4b1858ce8eac25f19,

title = "High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control",

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.",

keywords = "ADC, EMG, High-resolution, Multi-channel acquisition, Prosthetic devices, PYNQ, SoC, ZYNQ",

author = "Daniel Proa{\~n}o-Guevara and Luis Serpa-Andrade",

note = "Publisher Copyright: {\textcopyright} 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.; 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 ; Conference date: 16-07-2020 Through 20-07-2020",

year = "2020",

doi = "10.1007/978-3-030-50838-8_17",

language = "English",

isbn = "9783030508371",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "125--130",

editor = "Jay Kalra and Lightner, {Nancy J.}",

booktitle = "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",

}

Proaño-Guevara, D & Serpa-Andrade, L 2020, High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. in J Kalra & NJ Lightner (eds), 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. Advances in Intelligent Systems and Computing, vol. 1205 AISC, Springer, pp. 125-130, 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, 16/07/20. https://doi.org/10.1007/978-3-030-50838-8_17

High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. / Proaño-Guevara, Daniel; Serpa-Andrade, Luis.
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. ed. / Jay Kalra; Nancy J. Lightner. Springer, 2020. p. 125-130 (Advances in Intelligent Systems and Computing; Vol. 1205 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control

AU - Proaño-Guevara, Daniel

AU - Serpa-Andrade, Luis

N1 - 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.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - ADC

KW - EMG

KW - High-resolution

KW - Multi-channel acquisition

KW - Prosthetic devices

KW - PYNQ

KW - SoC

KW - ZYNQ

UR - http://www.scopus.com/inward/record.url?scp=85088264588&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-50838-8_17

DO - 10.1007/978-3-030-50838-8_17

M3 - Conference contribution

AN - SCOPUS:85088264588

SN - 9783030508371

T3 - Advances in Intelligent Systems and Computing

SP - 125

EP - 130

BT - 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

A2 - Kalra, Jay

A2 - Lightner, Nancy J.

PB - Springer

T2 - 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

Y2 - 16 July 2020 through 20 July 2020

ER -

Proaño-Guevara D, Serpa-Andrade L. High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. In Kalra J, Lightner NJ, editors, 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. Springer. 2020. p. 125-130. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-50838-8_17

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this