  Surface Electromyography (sEMG) is a technology to measure the bio-potentials
across the muscles. The true prospective of this technology is yet to be
explored. In this paper, a simple and economic construction of a sEMG sensor is
proposed. These sensors are used to determine the differences in the
Electromyography (EMG) signal patterns of different individuals. Signals of
several volunteers from different age groups, gender and individual having
paralysis have been obtained. The sEMG data acquisition is done using the
soundcard of a computer, hence reducing the need of additional hardware.
Finally, the data is used to analyse the relationship between electromyography
and factors like age, gender and health condition i.e. paralysis.
