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.
|Title of host publication||2020 IEEE Global Humanitarian Technology Conference, GHTC 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|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
|Name||2020 IEEE Global Humanitarian Technology Conference, GHTC 2020|
|Conference||10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020|
|Period||29/10/20 → 1/11/20|
Bibliographical notePublisher Copyright:
© 2020 IEEE.
- myoelectric signals