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

Grupo de Investigacion en Ingeniería Biomédica (GIIB)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	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
Editores	Jay Kalra, Nancy J. Lightner
Editorial	Springer
Páginas	125-130
Número de páginas	6
ISBN (versión impresa)	9783030508371
DOI	https://doi.org/10.1007/978-3-030-50838-8_17
Estado	Publicada - 2020
Evento	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, Estados Unidos Duración: 16 jul. 2020 → 20 jul. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1205 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	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
País/Territorio	Estados Unidos
Ciudad	San Diego
Período	16/07/20 → 20/07/20

Nota bibliográfica

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.

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

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Proaño-Guevara, D., & Serpa-Andrade, L. (2020). High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. En 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).

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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",

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Proaño-Guevara, D & Serpa-Andrade, L 2020, High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. En 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, Estados Unidos, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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

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KW - Multi-channel acquisition

KW - Prosthetic devices

KW - PYNQ

KW - SoC

KW - ZYNQ

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M3 - Conference contribution

AN - SCOPUS:85088264588

SN - 9783030508371

T3 - Advances in Intelligent Systems and Computing

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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. En Kalra J, Lightner NJ, editores, 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

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