EMG Signal Classification for Detecting Neuromuscular Disorders
نویسندگان
چکیده
منابع مشابه
Review of EMG Signal Classification for Diagnosis of Neuromuscular Disorders
Electromyographic (EMG) signal provide a significant source of information for diagnosis, treatment and management of neuromuscular disorders.Neuromuscular diseases changes, the shape and characteristics of the motor unit action potentials (MUAPs). The MUAPs detected from myopathic patients are characterized by high frequency contents, low peak-to-peak amplitude and MUAPs neuropathic patients a...
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The quantitative analysis of decomposed electromyographic (EMG) signals reveals information for diagnosing and characterizing neuromuscular disorders. Neuromuscular jitter is an important measure that reflects the stability of the operation of a neuromuscular junction. It is conventionally measured using single fiber electromyographic (SFEMG) techniques. SFEMG techniques require substantial phy...
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Since past few years, researchers have been concentrating on the classification of Electromyography Signal. This method is very useful in diagnosing the neuro-muscular disorders, which consists of wide spread diseases affecting peripheral nervous system. Progressive muscle weakness is the major form of these disorders. Out of various proposed methods, scholars are commonly focusing on Neural Ne...
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The objective of this paper is to evaluate and detect muscular tiredness in natural activities, in particular, to select the most comfortable car seat. This work consists to identifying and to classify the EMG signal of the techniques from data mining and from the statistical techniques. We thus tried hybridization between some to lead to a better separation between the classes. The methods of ...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1921/1/012043