Electromyography Signal Acquisition and Analysis System for Finger Movement Classification
نویسندگان
چکیده
منابع مشابه
Electromyography Based Finger Movement Identification for Human Computer Interface
This paper reports experiments conducted to classify single channel Surface Electromyogram recorded from the forearm with the flexion and extension of the different fingers. Controlled experiments were conducted where single channel SEMF was recorded from the flexor digitorum superficialis muscle for various finger positions from the volunteers. A modified wavelet network called Thresholding Wa...
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Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more. However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance in the above applications. Detection, processing and classification analysis in electromyography...
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Myoelectric signal (MES) is the electrical manifestation of muscular contraction. The transient part of the EMG signal, which is recorded at the surface of the skin of the forearm, has been exploited to provide the recognition of three finger movements. The objective of the paper is to describe the identification procedure, based on Transparent (interpretability) Fuzzy System and accuracy, whic...
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Hand prostheses controlled by surface electromyography are promising due to the non-invasive approach and the control capabilities offered by machine learning. Nevertheless, dexterous prostheses are still scarcely spread due to control difficulties, low robustness and often prohibitive costs. Several sEMG acquisition setups are now available, ranging in terms of costs between a few hundred and ...
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INTRODUCTION An apnea episode is defined as the cessation of breathing for ≥15 seconds or as any suspension of breathing accompanied by hypoxia and bradycardia. Obtaining information about the respiratory system in a neonate can be accomplished using electromyography signals from the diaphragm muscle. OBJECTIVE The purpose of this paper is to illustrate a method by which the respiratory and e...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2019
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2019.0100653