Electromyography Based Prosthetic Hand

Murk Rehman; Sarfraz Shahani; Sarmad Shams; Misbah Ali; Rubab Ashraf; Ahsan Ali

doi:10.2991/978-94-6463-602-4_7

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Electromyography Based Prosthetic Hand

Authors

Murk Rehman¹^{, *}, Sarfraz Shahani¹, Sarmad Shams¹, Misbah Ali¹, Rubab Ashraf¹, Ahsan Ali¹

¹Institute of Biomedical Engineering & Technology, Liaquat University of Medical & Health Sciences, Jamshoro, Sindh, Pakistan

^*Corresponding author. Email: murk.rehman@lumhs.edu.pk

Corresponding Author

Murk Rehman

Available Online 24 December 2024.

DOI: 10.2991/978-94-6463-602-4_7 How to use a DOI?
Keywords: EMG Signal Processing; Prosthetic Hand; Upper Limb Amputations
Abstract: People who are adjusting to life without hands encounter a range of challenges. Losing hands can occur due to several causes, such as trauma, illness, congenital defects, or damage. This paper presents the development of an innovative electromyography (EMG) based prosthetic hand, designed to restore natural movement and functionality for individuals with upper limb amputations. The prosthetic hand utilizes EMG signals from the user’s skeletal muscles to control the hand’s movements, enabling intuitive and precise control. Advanced signal processing and techniques decode the user’s intentions and translate them into corresponding hand movements. The prosthetic hand features a range of motion that includes flexion, extension, and grasping, allowing users to perform various tasks easily. This paper aims to improve the quality of life for individuals with upper limb amputations, enhancing their mobility, independence, and overall well-being. The proposed system has the potential to revolutionize prosthetic technology, offering a more natural and effective solution for individuals with upper limb amputations.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)
Series: Atlantis Highlights in Engineering
Publication Date: 24 December 2024
ISBN: 978-94-6463-602-4
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-602-4_7 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Murk Rehman
AU  - Sarfraz Shahani
AU  - Sarmad Shams
AU  - Misbah Ali
AU  - Rubab Ashraf
AU  - Ahsan Ali
PY  - 2024
DA  - 2024/12/24
TI  - Electromyography Based Prosthetic Hand
BT  - Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)
PB  - Atlantis Press
SP  - 50
EP  - 55
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-602-4_7
DO  - 10.2991/978-94-6463-602-4_7
ID  - Rehman2024
ER  -

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