Naslov
Kinesiological Electromyography

Autori
Medved, Vladimir ; Cifrek, Mario

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Annual 2015 of the Croatian Academy of Engineering

Urednik/ci
Andročec, Vladimir

Izdavač
Akademija tehničkih znanosti Hrvatske (HATZ)

Grad
Zagreb

Godina
2016

Raspon stranica
279-300

ISBN
0-1332-3482-00

ISSN
1332-3482

Ključne riječi
Surface electromyography (sEMG) ; biomechanics ; human movement ; signal processing ; kinesiology

Sažetak
Multiple rigid body modeling paradigm in the representation of human body and the inverse dynamic approach are shortly introduced first. Faithfull computer-based modeling of neuro- musculo-skeletal system is referred to next, as exemplified by one among the most successful approaches by Delp, introduced at the beginning of 1990es, and broadly implemented since. The method of electromyography is explained, including concise description of the genesis of the signal, modeling the resulting „interference pattern“ (the term by Basmajian and De Luca), and defining technical method of signal detection, amplification, conditioning, and interfacing to computer via analog-to-digital (A/D) conversion. Signal smoothing (or averaging), comprising full- wave rectification followed by low pass filtering, is the most important among time domain signal processing methods. This kind of signal representation bears resemblance to isometric muscular force signal - not available in principle - and can therefore be used as an indirect measure of muscular force. A number of kinesiological studies were realized in the past employing this rather non-invasive and elegant methodology to monitor muscular force(s). Applications range from medical rehabilitation examples, such as typically gait analysis, over studies of sportive movement patterns, to various ergonomic tasks. Processing multichannel EMG may serve to quantify muscular coordination, enabling, in turn, evaluation of movement skill. EMG signal spectrum is sensitive to local muscle fatigue, providing motivation for signal processing methods in the frequency domain. Numerous studies were performed yielding signal- based quantitative criteria of fatigue in various, primarily static, but also in dynamic tasks. We refer to classical and modern signal processing methods. Biomechanical applications, research or clinical alike, incorporating examples from the authors’ own research where appropriate illustrate the methods. We refer to state-of-the art engineering and technological solutions of multichannel telemetric sEMG recording systems, envisaging their possible novel future applications in kinesiology.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Kineziologija

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