نتایج جستجو برای: emg signal processing

تعداد نتایج: 820546  

2011
Edward A. Clancy

AND INTRODUCTION The amplitude of the surfa.ce EMG is frequently used as the control input to myoelectric prostheses, as a measure of muscular effort, and has also been investigated as an indicator of muscle force This paper will review the methods which are used to estimate the EMG amplitude from recordings of the EMG waveform. (Note that this review does not include the related area of EMG-to...

2012
R. A. R. C. Gopura Kazuo Kiguchi

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...

Journal: :British journal of obstetrics and gynaecology 1999
D Rudel M Pajntar

OBJECTIVE To study the activity of the human uterine cervix at the onset of labour and further characterise cervical asynchronous electromyographic (EMG) activity in the latent phase. DESIGN Prospective observational study. SETTING AND PARTICIPANTS Clinical hospital in Ljubljana. PARTICIPANTS Forty-seven healthy nulliparous women with relatively unripe cervices requiring induction of labo...

2015
Jeet Singh

Electromyography (EMG) is the study of the skeletal muscle function and the contraction of the skeletal muscle result in the generation of action potential in the individual muscle fibers, it from get information in the diagnosis of neuromuscular disorders. Suitable removal of baseline fluctuation of EMG signals is very important issue when recoding EMG signals as it may be degrade quality and ...

Journal: :iranian journal of medical physics 0
ateke goshvarpour computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran ataollah abbasi computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran atefeh goshvarpour computational neuroscience laboratory, department of biomedical engineering, faculty of electrical engineering, sahand university of technology, tabriz, iran

introduction automatic human emotion recognition is one of the most interesting topics in the field of affective computing. however, development of a reliable approach with a reasonable recognition rate is a challenging task. the main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (hrv). in t...

2012
Manoj Duhan

EMG signals are electromyogram signals generated by firing of MUs (motor units) in muscle fibers. The decomposition of EMG signal of a muscle provides useful information for the diagnosis of neuro-muscular diseases by physician and neurologist. In decomposition of EMG signal different MUAPs (Motor Unit Action Potentials) are classified into different categories. This paper gives a review of dif...

Journal: :Journal of Computer Sciences Institute 2017

Journal: :The Journal of physiology 2002
J M Kilner S N Baker R N Lemon

Pairs of discharges of single motor units recorded in the same or different muscles often show synchronisation above chance levels. If large numbers of units are synchronous within and between muscles then the synchrony will be measurable in population recordings such as surface EMG. Measuring synchrony between surface EMG recordings has a number of practical and scientific advantages compared ...

2016
Maoqi Chen Ales Holobar Xu Zhang Ping Zhou

Decomposition of electromyograms (EMG) is a key approach to investigating motor unit plasticity. Various signal processing techniques have been developed for high density surface EMG decomposition, among which the convolution kernel compensation (CKC) has achieved high decomposition yield with extensive validation. Very recently, a progressive FastICA peel-off (PFP) framework has also been deve...

Journal: :Proceeding of Japanese Society of Stomatognathic Function 1987

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