Real-time myoelectric control with an Arduino

Hancong Wu; Matthew Dyson; Kianoush Nazarpour

doi:10.1109/ICECS49266.2020.9294944

Real-time myoelectric control with an Arduino

Hancong Wu, Matthew Dyson, Kianoush Nazarpour

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

Abstract / Description of output

This paper reports the design of a low-cost myoelectric system on the Arduino platform for real-time prosthetic control. It successfully controlled a commercial hand prosthesis to complete multiple grips with the direct controller and the abstract controller with a 250 ms response time.

Original language	English
Title of host publication	ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	2
ISBN (Electronic)	978-1-7281-6045-0
ISBN (Print)	978-1-7281-6044-3
DOIs	https://doi.org/10.1109/ICECS49266.2020.9294944
Publication status	Published - 28 Dec 2020
Event	27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 - Glasgow, United Kingdom Duration: 23 Nov 2020 → 25 Nov 2020

Publication series

Name	ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

Conference

Conference	27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020
Country/Territory	United Kingdom
City	Glasgow
Period	23/11/20 → 25/11/20

Keywords / Materials (for Non-textual outputs)

Arduino
Myoelectric control
Real-time

Access to Document

10.1109/ICECS49266.2020.9294944Licence: All Rights Reserved

https://ieeexplore.ieee.org/document/9294944Licence: All Rights Reserved

Cite this

Wu, H., Dyson, M., & Nazarpour, K. (2020). Real-time myoelectric control with an Arduino. In ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings Article 9294944 (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICECS49266.2020.9294944

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title = "Real-time myoelectric control with an Arduino",

abstract = "This paper reports the design of a low-cost myoelectric system on the Arduino platform for real-time prosthetic control. It successfully controlled a commercial hand prosthesis to complete multiple grips with the direct controller and the abstract controller with a 250 ms response time.",

keywords = "Arduino, Myoelectric control, Real-time",

author = "Hancong Wu and Matthew Dyson and Kianoush Nazarpour",

note = "Funding Information: This work is supported by EPSRC grant EP/R004242/1. Hancong Wu and Matthew Dyson are with the School of Engineering, Newcastle University, Newcastle upon Tyne, UK. Kianoush Nazarpour is with the School of Engineering and the Biosciences Research Institute, Newcastle University, UK Publisher Copyright: {\textcopyright} 2020 IEEE.; 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 ; Conference date: 23-11-2020 Through 25-11-2020",

year = "2020",

month = dec,

day = "28",

doi = "10.1109/ICECS49266.2020.9294944",

language = "English",

isbn = "978-1-7281-6044-3",

series = "ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings",

}

Wu, H, Dyson, M & Nazarpour, K 2020, Real-time myoelectric control with an Arduino. in ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings., 9294944, ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings, Institute of Electrical and Electronics Engineers, 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020, Glasgow, United Kingdom, 23/11/20. https://doi.org/10.1109/ICECS49266.2020.9294944

Real-time myoelectric control with an Arduino. / Wu, Hancong; Dyson, Matthew; Nazarpour, Kianoush.
ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers, 2020. 9294944 (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings).

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

TY - GEN

T1 - Real-time myoelectric control with an Arduino

AU - Wu, Hancong

AU - Dyson, Matthew

AU - Nazarpour, Kianoush

N1 - Funding Information: This work is supported by EPSRC grant EP/R004242/1. Hancong Wu and Matthew Dyson are with the School of Engineering, Newcastle University, Newcastle upon Tyne, UK. Kianoush Nazarpour is with the School of Engineering and the Biosciences Research Institute, Newcastle University, UK Publisher Copyright: © 2020 IEEE.

PY - 2020/12/28

Y1 - 2020/12/28

N2 - This paper reports the design of a low-cost myoelectric system on the Arduino platform for real-time prosthetic control. It successfully controlled a commercial hand prosthesis to complete multiple grips with the direct controller and the abstract controller with a 250 ms response time.

AB - This paper reports the design of a low-cost myoelectric system on the Arduino platform for real-time prosthetic control. It successfully controlled a commercial hand prosthesis to complete multiple grips with the direct controller and the abstract controller with a 250 ms response time.

KW - Arduino

KW - Myoelectric control

KW - Real-time

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U2 - 10.1109/ICECS49266.2020.9294944

DO - 10.1109/ICECS49266.2020.9294944

M3 - Conference contribution

AN - SCOPUS:85099434151

SN - 978-1-7281-6044-3

T3 - ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

BT - ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020

Y2 - 23 November 2020 through 25 November 2020

ER -

Wu H, Dyson M, Nazarpour K. Real-time myoelectric control with an Arduino. In ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers. 2020. 9294944. (ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings). doi: 10.1109/ICECS49266.2020.9294944

Real-time myoelectric control with an Arduino

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Sensorimotor learning for control of prosthetic limbs

Cite this

Real-time myoelectric control with an Arduino

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Projects

Sensorimotor learning for control of prosthetic limbs

Cite this