نتایج جستجو برای: emg

تعداد نتایج: 10005  

2002
Carlo J. De Luca

CONTENTS GENERAL CONCERNS ................................................................................................... 2 CHARACTERISTICS OF THE EMG SIGNAL ....................................................................... 2 CHARACTERISTICS OF THE ELECTRICAL NOISE .............................................................. 3 MAXIMIZING THE FIDELITY OF THE EMG SIGNAL .................

Journal: :Journal of neurophysiology 2014
Christopher J Dakin Brian H Dalton Billy L Luu Jean-Sébastien Blouin

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...

Journal: :Energies 2021

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...

2012
Kevin G. Keenan William V. Massey Tygh J. Walters Joseph D. Collins Kevin Keenan

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, ...

Journal: :journal of biomedical physics and engineering 0
m ghofrani jahromi h parsaei a zamani m dehbozorgi

background: electromyographic (emg) signal decomposition is the process by which an emg signal is decomposed into its constituent motor unit potential trains (mupts). a major step in emg decomposition is feature extraction in which each detected motor unit potential (mup) is represented by a feature vector. as with any other pattern recognition system, feature extraction has a significant impac...

Journal: :Journal of applied physiology 1998
I Kianicka V Diaz D Dorion J P Praud

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...

Journal: :Anatolian Current Medical Journal 2021

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...

2002
Branimir Leskošek

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. ...

2014
One-bin Lim Jeong-ah Kim Si-jeong Song Heon-seock Cynn Chung-hwi Yi

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...

Journal: :International journal of signal processing systems 2022

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...

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