engleski

Kinesiological Electromyography

Current biomechanical methodology for studying human movement, based on a multiple rigid body modelling paradigm in the representation of human body and the inverse dynamic approach, is introduced first. Faithful computer-based modelling of neuro-musculo-skeletal system is referred to next, as exemplified by one among the most successful approaches of today by Delp. The method of electromyography is then explained, beginning with concise description of the genesis of the signal, proceeding to the modelling of the resulting interference pattern, and defining technical method of signal detection, amplification and conditioning. Time domain signal processing methods are described. The most important one is signal smoothing (or averaging) which comprises full-wave rectification followed by low pass filtering. Spectrum of applications ranges from a number of medical rehabilitation examples, such as gait analysis, over studies of sportive movement patterns, to various ergonomic issues. Multichannel EMG may further serve in studies of muscular coordination, enabling, in turn, evaluation of locomotor skill by means of smoothed surface EMG signal processing. Signal processing methods in the frequency domain are described next. The main motivation for these methods arises from the observation of EMG signal spectrum being sensitive to local muscle fatigue. Chapter concludes with reference to state-of-the art engineering and technological solutions of multichannel telemetric sEMG recording systems, envisaging their possible novel future applications in kinesiology.

Surface electromyography, kinesiology, muscle fatigue, muscle coordination

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