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Electromyography (EMG) is obtained by measuring the electrical signal associated with the activation of the muscle. EMG can be used for a lot of studies (e.g., clinical, biomedical, basic physiological and biomechanical studies); consequently, in this project the EMG is used as a diagnostic tool for the rehabilitation purpose. The methodology and instrumentation of Electromyography are presented and the main objectives of this project are to acquire signals and perform classification. In this research, Many signals need to be acquired from EMG system or any Data base source which are experimented on subjects having different age and gender, in order to carry out detailed analysis for the purpose of performing classification therefore, the signals are analyzed using MA TLAB and thereatler, feature recognition method is applied by implementing fuzzy logic technique to classify the signals in terms of age groups. The final form of the project consists of a successful finding of signal acquisition to perform classification of EMG signals in tenns of age groups using Fuzzy logic.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:49
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/7325

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