Development of a control system for a prosthetic hand assisted by electromyographic signals

John Calle Siguencia; Edison S. Tenesaca Lliviganay; Ronny N. Tituana-Salinas; Fernando Urgiles-Ortiz

doi:10.1109/GHTC46280.2020.9342868

Development of a control system for a prosthetic hand assisted by electromyographic signals

John Calle Siguencia, Edison S. Tenesaca Lliviganay, Ronny N. Tituana-Salinas, Fernando Urgiles-Ortiz

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

Abstract

This paper presents the development of a controller for a prosthetic hand prototype considering the acquisition of electromyographic signals through the Myo Armband (MYA), which consists of eight medical grade surface sensors. The myoelectric signals are acquired from the forearm muscles of a 23 years old male person, then amplified and filtered to obtain a suitable signal which, by means of a program in a controller, is in charge of issuing commands to the actuators and micromotors to perform the different types of grasps and movements established for the prosthesis. It enables obtaining filtered signals capable of efficiently controlling seven hand movements without modifying the aesthetics nor the anthropometry of the prosthesis prototype.

Original language	English
Title of host publication	2020 IEEE Global Humanitarian Technology Conference, GHTC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728173887
DOIs	https://doi.org/10.1109/GHTC46280.2020.9342868
State	Published - 29 Oct 2020
Event	10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020 - Virtual, Seattle, United States Duration: 29 Oct 2020 → 1 Nov 2020

Publication series

Name	2020 IEEE Global Humanitarian Technology Conference, GHTC 2020

Conference

Conference	10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020
Country/Territory	United States
City	Virtual, Seattle
Period	29/10/20 → 1/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

controller
electromyography
myoelectric signals
prosthesis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/GHTC46280.2020.9342868

Cite this

Siguencia, J. C., Tenesaca Lliviganay, E. S., Tituana-Salinas, R. N., & Urgiles-Ortiz, F. (2020). Development of a control system for a prosthetic hand assisted by electromyographic signals. In 2020 IEEE Global Humanitarian Technology Conference, GHTC 2020 Article 9342868 (2020 IEEE Global Humanitarian Technology Conference, GHTC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GHTC46280.2020.9342868

Siguencia, John Calle ; Tenesaca Lliviganay, Edison S. ; Tituana-Salinas, Ronny N. et al. / Development of a control system for a prosthetic hand assisted by electromyographic signals. 2020 IEEE Global Humanitarian Technology Conference, GHTC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Global Humanitarian Technology Conference, GHTC 2020).

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title = "Development of a control system for a prosthetic hand assisted by electromyographic signals",

abstract = "This paper presents the development of a controller for a prosthetic hand prototype considering the acquisition of electromyographic signals through the Myo Armband (MYA), which consists of eight medical grade surface sensors. The myoelectric signals are acquired from the forearm muscles of a 23 years old male person, then amplified and filtered to obtain a suitable signal which, by means of a program in a controller, is in charge of issuing commands to the actuators and micromotors to perform the different types of grasps and movements established for the prosthesis. It enables obtaining filtered signals capable of efficiently controlling seven hand movements without modifying the aesthetics nor the anthropometry of the prosthesis prototype. ",

keywords = "controller, electromyography, myoelectric signals, prosthesis",

author = "Siguencia, {John Calle} and {Tenesaca Lliviganay}, {Edison S.} and Tituana-Salinas, {Ronny N.} and Fernando Urgiles-Ortiz",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020 ; Conference date: 29-10-2020 Through 01-11-2020",

year = "2020",

month = oct,

day = "29",

doi = "10.1109/GHTC46280.2020.9342868",

language = "English",

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Siguencia, JC, Tenesaca Lliviganay, ES, Tituana-Salinas, RN & Urgiles-Ortiz, F 2020, Development of a control system for a prosthetic hand assisted by electromyographic signals. in 2020 IEEE Global Humanitarian Technology Conference, GHTC 2020., 9342868, 2020 IEEE Global Humanitarian Technology Conference, GHTC 2020, Institute of Electrical and Electronics Engineers Inc., 10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020, Virtual, Seattle, United States, 29/10/20. https://doi.org/10.1109/GHTC46280.2020.9342868

Development of a control system for a prosthetic hand assisted by electromyographic signals. / Siguencia, John Calle; Tenesaca Lliviganay, Edison S.; Tituana-Salinas, Ronny N. et al.
2020 IEEE Global Humanitarian Technology Conference, GHTC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9342868 (2020 IEEE Global Humanitarian Technology Conference, GHTC 2020).

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

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AU - Urgiles-Ortiz, Fernando

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N2 - This paper presents the development of a controller for a prosthetic hand prototype considering the acquisition of electromyographic signals through the Myo Armband (MYA), which consists of eight medical grade surface sensors. The myoelectric signals are acquired from the forearm muscles of a 23 years old male person, then amplified and filtered to obtain a suitable signal which, by means of a program in a controller, is in charge of issuing commands to the actuators and micromotors to perform the different types of grasps and movements established for the prosthesis. It enables obtaining filtered signals capable of efficiently controlling seven hand movements without modifying the aesthetics nor the anthropometry of the prosthesis prototype.

AB - This paper presents the development of a controller for a prosthetic hand prototype considering the acquisition of electromyographic signals through the Myo Armband (MYA), which consists of eight medical grade surface sensors. The myoelectric signals are acquired from the forearm muscles of a 23 years old male person, then amplified and filtered to obtain a suitable signal which, by means of a program in a controller, is in charge of issuing commands to the actuators and micromotors to perform the different types of grasps and movements established for the prosthesis. It enables obtaining filtered signals capable of efficiently controlling seven hand movements without modifying the aesthetics nor the anthropometry of the prosthesis prototype.

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KW - electromyography

KW - myoelectric signals

KW - prosthesis

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Siguencia JC, Tenesaca Lliviganay ES, Tituana-Salinas RN, Urgiles-Ortiz F. Development of a control system for a prosthetic hand assisted by electromyographic signals. In 2020 IEEE Global Humanitarian Technology Conference, GHTC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9342868. (2020 IEEE Global Humanitarian Technology Conference, GHTC 2020). doi: 10.1109/GHTC46280.2020.9342868

Development of a control system for a prosthetic hand assisted by electromyographic signals

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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