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Contactless sensors for Surface Electromyography

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Muscle activity can be monitored by measuring the surface electromyography (SEMG) signal at the surface of the body. The SEMG signal is a combination of several activation signals sent through the muscle fibers triggering the contraction of the muscle. SEMG enables to access those signals non-invasively.
Lena, Gourmelon, Geert, Langereis
openaire   +2 more sources

Wireless Surface Electromyography

2017
Surface Electromyography (sEMG) is used in the evaluation of muscle activation patterns during body movements. Artefacts in sEMG-signals and analysis are caused by the movements of the cables between the sensor and electrode. Hence, there already exist some pre-amplified and wireless sEMG electrodes.
Rens Baeyens   +5 more
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Surface electrodes in perineal electromyography

Urology, 1988
In 40 elderly male patients undergoing multiple urodynamic evaluations, surface electrodes were used for recording electromyographic (EMG) activity of pelvic sphincter muscles; placement site was the external anal sphincter. The measured wave form was displayed as an analog plot. Different types of surface electrodes were evaluated in selected patients.
P, O'Donnell   +3 more
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Correlation of surface respiratory electromyography with esophageal diaphragm electromyography

Respiratory Physiology & Neurobiology, 2019
To assess the correlation between surface respiratory electromyography(sEMG) and esophageal diaphragm electromyography(EMGdi) at different levels of neural respiratory drive (NRD).Randomised parallel design controlled trial.The First Affiliated Hospital of Guangzhou Medical University.15 healthy subjects and 1 severe to very severe stable COPD patients
Lin, Lin   +3 more
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Hand gesture recognition using surface electromyography

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Surface electromyography has become one of the popular methods for recognizing hand gestures. In this paper, the performance of four classification methods on sEMG signals have been investigated. These methods are developed by combinations of two feature extraction methods, including Mean Absolute Value and Short-Time Fourier Transform, and two ...
Hajar, Sharif   +2 more
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Uncommon Surface Electromyography

Biofeedback, 2010
Abstract Surface electromyography (SEMG) can be used as a tool to help gain the return/discovery of motor function in those with disabilities. This article presents the case of “Joey,” an 18-month-old toddler. An already challenging case due to age is made even more difficult considering his genetically based multiple impairments. SEMG provided
openaire   +1 more source

Surface electromyography analysis for variable gait

Gait & Posture, 2003
The surface electromyographic (SEMG) signal obtained during gait is often presented as the SEMG profile, the average SEMG activation pattern during one gait cycle. A disadvantage of this method is that it omits the step-to-step variability of the timing of the muscle activation patterns that might be relevant information as a performance measure of ...
Roetenberg, D.   +4 more
openaire   +3 more sources

Wavelet analysis of surface electromyography signals

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
A number of digital signal processing (DSP) techniques are being applied to surface electromyography (SEMG) signals to extract detailed features of the signal. Fast Fourier transform (FFT) is one of the most common methods for analyzing the signal whether it is filtered or not.
J, Kilby, H, Gholam Hosseini
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The History of Surface Electromyography

Applied Psychophysiology and Biofeedback, 2003
The history of muscle pain and dysfunction is viewed through the lens of a four factor theory of histologic (tissue related) issues, psychologic (emotional) issues, sensory motor (movement) issues, and biomechanical (postural) issues. The historical antecedents of surface electromyography are reviewed.
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Surface electromyography and mouse use position

Ergonomics, 1997
This study examines muscle tension and subjective muscle tension awareness while using a computer mouse positioned to the right of a standard computer keyboard and a centrally positioned trackball. Seventeen volunteer subjects experienced in mouse and trackball use were seated at an ergonomically adjusted workstation.
R, Harvey, E, Peper
openaire   +2 more sources

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