<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study examines the possibility of implementing intelligent artificial limbs for patients after injuries or amputations. Brain-computer technology allows signals to be acquired and sent between the brain and an external device. Upper limb prostheses, however, are quite a complicated tool, because the hand itself has a very complex structure and consists of several joints. The most complicated joint is undoubtedly the saddle joint, which is located at the base of the thumb. You need to demonstrate adequate anatomical knowledge to construct a prosthesis that will be easy to use and resemble a human hand as much as possible. It is also important to create the right control system with the right software that will easily work together with the brain-computer interface. Therefore, the proposed solution in this work consists of three parts, which are: the Emotiv EPOC + Neuroheadsets, a control system made of a servo and an Arduino UNO board (with dedicated software), and a hand prosthesis model made in the three-dimensional graphic program Blender and printed using a 3D printer. Such a hand prosthesis controlled by a signal from the brain could help people with disabilities after amputations and people who have damaged innervation at the stump site.</p>
</abstract>

This study examines the possibility of implementing intelligent artificial limbs for patients after injuries or amputations. Brain-computer technology allows signals to be acquired and sent between the brain and an external device. Upper limb prostheses, however, are quite a complicated tool, because the hand itself has a very complex structure and consists of several joints. The most complicated joint is undoubtedly the saddle joint, which is located at the base of the thumb. You need to demonstrate adequate anatomical knowledge to construct a prosthesis that will be easy to use and resemble a human hand as much as possible. It is also important to create the right control system with the right software that will easily work together with the brain-computer interface. Therefore, the proposed solution in this work consists of three parts, which are: the Emotiv EPOC + Neuroheadsets, a control system made of a servo and an Arduino UNO board (with dedicated software), and a hand prosthesis model made in the three-dimensional graphic program Blender and printed using a 3D printer. Such a hand prosthesis controlled by a signal from the brain could help people with disabilities after amputations and people who have damaged innervation at the stump site.

Concept of Using the Brain-Computer Interface to Control Hand Prosthesis

Automatic Control and Informatics, Opole University of Technology

Journal of Automation, Mobile Robotics and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Concept of Using the Brain-Computer Interface to Control Hand Prosthesis"}

This study examines the possibility of implementing intelligent artificial limbs for patients after injuries or amputations. Brain-computer technology allows...

Concept of Using the Brain-Computer Interface to Control Hand Prosthesis

Online veröffentlicht: 20. Okt. 2023

Seitenbereich: 3 - 12

Eingereicht: 08. Nov. 2022

Akzeptiert: 07. Feb. 2023

DOI: https://doi.org/10.14313/jamris/4-2022/27

Schlüsselwörter
BCI, EEG, hand prosthesis, hand, prosthesis, 3D printing

© 2022 Julia Żaba et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Concept of Using the Brain-Computer Interface to Control Hand Prosthesis

Online veröffentlicht: 20. Okt. 2023

Seitenbereich: 3 - 12

Eingereicht: 08. Nov. 2022

Akzeptiert: 07. Feb. 2023

DOI: https://doi.org/10.14313/jamris/4-2022/27

SchlüsselwörterBCI, EEG, hand prosthesis, hand, prosthesis, 3D printing

© 2022 Julia Żaba et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
BCI, EEG, hand prosthesis, hand, prosthesis, 3D printing