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 proceedingConference contributionpeer-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 languageEnglish
Title of host publication2020 IEEE Global Humanitarian Technology Conference, GHTC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728173887
DOIs
StatePublished - 29 Oct 2020
Event10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020 - Virtual, Seattle, United States
Duration: 29 Oct 20201 Nov 2020

Publication series

Name2020 IEEE Global Humanitarian Technology Conference, GHTC 2020

Conference

Conference10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020
Country/TerritoryUnited States
CityVirtual, Seattle
Period29/10/201/11/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • controller
  • electromyography
  • myoelectric signals
  • prosthesis

Fingerprint

Dive into the research topics of 'Development of a control system for a prosthetic hand assisted by electromyographic signals'. Together they form a unique fingerprint.

Cite this