ELECTROMYOGRAPHY (EMG) SIGNAL ACQUISITION AND CLASSIFICATION

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.