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International Conference on Applied Human Factors and Ergonomics

AHFE 2020: Advances in Human Factors and Ergonomics in Healthcare and Medical Devices pp 125–130Cite as

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

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1205))

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.

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Author information

Authors and Affiliations

  1. Research Group on Biomedical Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador

    Daniel Proaño-Guevara & Luis Serpa-Andrade

  2. Research Group on Artificial Intelligence and Assistive Technologies GIIATa, UNESCO Member for Inclusion, Cuenca, Ecuador

    Luis Serpa-Andrade

Authors
  1. Daniel Proaño-Guevara
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  2. Luis Serpa-Andrade
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Corresponding author

Correspondence to Luis Serpa-Andrade .

Editor information

Editors and Affiliations

  1. Department of Pathology, College of Medicine, Royal University Hospital, University of Saskatchewan, Saskatoon, SK, Canada

    Jay Kalra

  2. Center for Applied Systems Engineering, Veterans Affairs, Indianapolis, IN, USA

    Nancy J. Lightner

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Proaño-Guevara, D., Serpa-Andrade, L. (2020). High Accuracy Multi-channel Surface EMG Acquisition System for Prosthetic Devices Control. In: Kalra, J., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1205. Springer, Cham. https://doi.org/10.1007/978-3-030-50838-8_17

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  • DOI: https://doi.org/10.1007/978-3-030-50838-8_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50837-1

  • Online ISBN: 978-3-030-50838-8

  • eBook Packages: EngineeringEngineering (R0)

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