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A hands-free method is proposed to control an electric powered wheelchair (EPW) based on surface electromyography (sEMG) signals.
High classification accuracy has been achieved for muscle computer interfaces (MCIs) based on surface electromyography (EMG) recognition in many recent works with an increasing number of discriminated movements.
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This study investigated the effects of lumbar spine accessory movements on surface electromyography (sEMG) activity of erector spinae.
Feeding time and DMI were recorded by automatic feed bins; RT was measured continuously by a measuring halter based on electromyography (Dairy Check BITSz Engineering GmbH, Zwickau, Germany), which constitutes a new approach regarding feeding behavior detection.
Identification of tasks and estimation of volitional movement based on electromyography (EMG) constitute a known problem that involves different areas in the field of expert systems and particularly pattern recognition, with many possible applications in assistive and rehabilitation devices.
Normative adult data has demonstrated significant muscle recruitment, based on electromyography (EMG), during cycling for the major lower extremity joint extensors and flexors [ 25].
Mondelli performed a retrospective study based on electromyography and estimated the standardised yearly incidence of ulnar nerve compression at the elbow at 20.9 per 100,000 [ 7].
Up to now investigations regarding the pathogenesis are mainly based on electromyography, motor and sensory nerve conduction velocity measurements and histopathological examination of muscle and nerve biopsies or are based on the identification of genetic abnormalities [ 3- 8].
The aim of the study was to assess the accuracy of the automatic identification of cough episodes by LR102, a cough frequency meter based on electromyography and audio sensors.
For the placement of the six channels, the motor point of the muscles will be identified and the area will be cleaned with 70% alcohol to reduce impedance, based on the recommendations of the Surface Electromyography for the Non-Invasive Assessment of Muscles.
The research described herein was undertaken to develop and test a novel tongue interface based on classification of tongue motions from the surface electromyography (EMG) signals of the suprahyoid muscles detected at the underside of the jaw.
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