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...

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...

The electromyographic signals abbreviated as EMG, represent the amount of electrical potential generated by the muscle cells when they contract or when they are at rest. Basically, EMG signals can be classified into two types according to the place where they are extracted. The EMG signals detect from inside of the muscles are called as intramuscular EMG whereas EMG signals detect from skin sur...

Since the 1970s, electromyographic control of a prosthetic device has been attempted in a number of different ways. It was only until recently, that the classification of electromyographic signals was possible through the use of neural networks. With the advent of more advanced techniques like support vector machines this type of control is becoming more realistic. This would initiate a great s...