Rectification of surface electromyographic (EMG) recordings prior to their correlation with other signals is a widely used form of preprocessing. Recently this practice has come into question, elevating the subject of EMG rectification to a topic of much debate. Proponents for rectifying suggest it accentuates the EMG spike timing information, whereas opponents indicate it is unnecessary and it...

Since the triboelectric nanogenerator (TENG) was invented, it has received extensive attention from researchers. Among many pieces of research based on TENG, hybridized generators is progressing rapidly. In recent years, and application electromagnetic–triboelectric (EMG-TENG) have made great progress. This review mainly focuses latest development EMG-TENG elaborates principles, materials, stru...

29 Multi-channel surface electromyograms (EMGs) were used to examine the sensitivity of 30 EMG-EMG coherence to infer changes in common oscillatory drive to hand muscles in young 31 and older adults. Previous research has shown that measures of coherence calculated from 32 different neurophysiological signals are influenced by the age of the subject, visual feedback 33 provided to the subject, ...

It has previously been reported that active glottic adduction is present during prolonged apneas but absent during periods of breathing movements in fetal lambs in utero. The present study was aimed at examining the precise coordination between fetal breathing movements [diaphragm electromyographic (EMG) activity (Di EMG)] and glottic adduction [thyroarytenoid muscle EMG activity (TA EMG)]. Ele...

Aim: It is recommended that dysfunctional voiding diagnosis should made by the repeated uroflowmetry simultaneously pelvic floor electromyography (UF-EMG) + post void residual measurements. However, there no evaluation system for UF-EMG parameters regarding clinical diagnosis, follow up and treatment of these patients. In our study, we aimed to create a new grading using parameters.
 Mater...

To address the problems of low feature extraction accuracy, large bias human motion pose recognition and posture error, poor effect, rate traditional fast algorithm, we propose a algorithm using multimodal bioinformation fusion. First, wavelet packet decomposition with sample entropy is used to extract hand features such as kurtosis, time domain skewness, frequency electromyogram (EMG) integral...

The aim of the investigation was to off-line compare parameters of uterine EMG signals recorded during pregnancy in humans and sheep. Uterine corpus EMG recording sessions were performed in humans and in sheep. Sixty-five women underwent uterine corpus EMG recording sessions using abdominal surface skin electrodes. Six sheep underwent multiple EMG recording sessions using implanted electrodes. ...

We investigated the effects of visual electromyography (EMG) biofeedback during side-lying shoulder external rotation exercise on the EMG amplitude for the posterior deltoid, infraspinatus, and infraspinatus/posterior deltoid EMG activity ratio. Thirty-one asymptomatic subjects were included. Subjects performed side-lying shoulder external rotation exercise with and without visual EMG biofeedba...

Electromyography (EMG) signals are muscles that enable the identification of human movements without need complex kinematics calculations. Researchers prefer EMG as input to control prosthetic arms and exoskeleton robots. However, proper algorithm classify from raw has been an interesting challenging topic researchers. Various studies have carried out produce EMG-based movement classification g...

This paper introduces a novel and simple algorithm to extract the feature from Surface EMG signals recorded from the skin surface over forearm muscles. Surface EMG signal is decomposed into 16 frequency bands (FB) by wavelet packet transform (WPT), and then wavelet packet entropy (WPE) of every surface EMG signal is calculated by its relative wavelet energy in every FB. WPE is regarded as the f...