Development of a wireless embedded system to reduce the influence of Gaussian noise and 50 Hz power line noise in electromyography (EMG)

2009 
Electromyography (EMG) is a technique for evaluating and recording the activation signal of muscles. In EMG, the electrical source is the muscle membrane potential of about -70mV. Measured EMG potentials vary depending on the muscle under observation. The typical repetition rate of the muscle unit firing is about 7-20 Hz, depending on the size of the muscle, previous axon damage and other factors. EMG signals are influenced by electrical environmental noise. The main sources of these noise signals are the noise from the differential amplifier circuit that is normally included in data logger devices and 50 Hz power line noise. In this paper a development of a Wireless data acquisition system is presented. The system uses an embedded system and the commercial ZigBEE protocol to reduce the influence of white Gaussian noise and 50Hz Power line noise from EMG measurements signals.
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