Získávání a analýza biosignálů použitelných pro řízení myoelektrické protézy ruky

Acquisition and analysis of biosignals usable for myoelectric prosthesis hand control

článek ve sborníku ve WoS nebo Scopus

en

Myoelectric prostheses belong to the most perfect, last demanding, and most natural replacements of the missing upper limb. Control of these prostheses is realized through the use of myopotentials that occur during muscle contraction. The waveform and amplitude of these signals are altered by various motions, force and velocity of contraction, and distance from the contracted muscle to the EMG sensor. The myoelectric signal is noninvasively measured through electrodes placed on the skin surface. For myoelectric prosthesis hand control the EMG signal must be precisely processed and analysed. This article deals with several methods of measurement, analysis and classification of the EMG signals usable for control of the myoelectric prostheses and other robotic systems.

Myoelektrické protézy patří k jedněm z nejdokonalejších náhrad chybějící lidské končetiny. Řízení těchto protéz je realizován pomocí biologických signálů, které jsou snímány povrchovou elektrodou, umístěnou na povrchu kůže (EMG0. Tento článek pojednává metodách získávání EMG signálu, jeho analýze a klasifikaci tak, aby jím bylo možno provádět řízení protézy nebo jiných robotických systémů.

Myoelectric prostheses belong to the most perfect, last demanding, and most natural replacements of the missing upper limb. Control of these prostheses is realized through the use of myopotentials that occur during muscle contraction. The waveform and amplitude of these signals are altered by various motions, force and velocity of contraction, and distance from the contracted muscle to the EMG sensor. The myoelectric signal is noninvasively measured through electrodes placed on the skin surface. For myoelectric prosthesis hand control the EMG signal must be precisely processed and analysed. This article deals with several methods of measurement, analysis and classification of the EMG signals usable for control of the myoelectric prostheses and other robotic systems.

prosthetic hand, myoelectric signal, electromyography (EMG), EMG analysis

10.11.2004

Západočeská univerzita v Plzni

Plzeň

80-7043-330-2

2-nd International PhD Conference on Mechanical Engineering - PhD 2004

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