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Intelligent Analysis of EMG Data for Improving Lifestyle

Donnelly, Mark, Davies, Richard and Nugent, Christopher (2005) Intelligent Analysis of EMG Data for Improving Lifestyle. In: Personalised Health Management Systems: The Integration of Innovative Sensing, Textile, Information and Communication Technologies. IOS Press, pp. 229-234. ISBN 978-1-58603-565-5 [Book section]

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URL: http://iospress.metapress.com/content/6l87tf1ertdeh3uu/


In the tragic situation when a person loses his or her hand, they are usually faced with only one option if they wish to regain a good level of mobility; learn to control an artificial hand. It has been suggested that our brain stores a "body map" of the different parts in our body. Thus, if a person loses a hand, their "body map" remains intact and produces phantom sensations that permit the person to feel like they still have their hand. Some discomfort is felt during these sensations; nevertheless, there is a positive side to them as they enable patients to control prosthetic replacements. Sensations experienced can be measured using a method known as Electromyography (EMG) and can be acquired and processed to control an artificial hand. This research involved the acquisition, analysis and classification of EMG signals through construction of a recording device and the development of classification models based on heuristic approaches and Artificial Intelligence classifiers based on Neural Networks to control artificial hands.

Item Type:Book section
Keywords:Electromyography, Artificial Hand, Signal Processing, Neural Networks
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:415
Deposited By: Dr Mark Donnelly
Deposited On:01 Feb 2010 10:53
Last Modified:14 Mar 2013 09:12

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