Paper Title
Noises Removal in EMG Signal
Article Identifiers
Authors
Aniket Kulkarni , shivanand yadav , adiba patel , muzzafar khan
Keywords
Denoising, FIR filter, adaptive filter, wavelet decomposition, PSNR
Abstract
Electromyography is the technique of recording and interpreting the electrical activity of muscle’s action potential. EMG is drawn using an instrument called an electromyograph, to produce a record called an electromyogram . The EMG potentials from a muscle or group of muscles produce a noise like waveform that varies in amplitude with the amount of muscular activity. It has frequency component ranging from 10 Hz to 3000 Hz and peak amplitude of 50 µV to 1 mV, depending on the location of the measuring electrodes with respect to the muscle and its activity.. Noises that commonly disturb the basic electromyograph are power line interference, instrumentation noise, external electromagnetic field interference, noise due to random body movements and respirational movements. These noises can be classified according to their frequency content. It is essential to reduce these disturbances in EMG signal to improve accuracy and reliability Different types of adaptive and non-adaptive digital filters have been proposed to remove these noises. In this thesis, window based FIR filters, adaptive filters and wavelet filter bank are applied to remove the noise
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How To Cite (APA)
Aniket Kulkarni, shivanand yadav, adiba patel, & muzzafar khan (April-2018). Noises Removal in EMG Signal . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 3(4), 50-53. https://ijnrd.org/papers/IJNRD1804008.pdf
Issue
Volume 3 Issue 4, April-2018
Pages : 50-53
Other Publication Details
Paper Reg. ID: IJNRD_180040
Published Paper Id: IJNRD1804008
Downloads: 000121993
Research Area: Engineering
Country: nagpur, nagpur, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD1804008.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1804008
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