Comparative Analysis of EMG Bio Signal Based on Empirical Wavelet Transform for Medical Diagnosis
| Autor: | B. Murugeshwari, M. Karthick, C. Jeyalakshmi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Short-time Fourier transform Wavelet transform 020206 networking & telecommunications Pattern recognition 02 engineering and technology Sparse approximation 010502 geochemistry & geophysics 01 natural sciences Signal Instantaneous phase Time–frequency analysis Feature (computer vision) 0202 electrical engineering electronic engineering information engineering Artificial intelligence business Continuous wavelet transform 0105 earth and related environmental sciences |
| Zdroj: | New Trends in Computational Vision and Bio-inspired Computing ISBN: 9783030418618 |
| DOI: | 10.1007/978-3-030-41862-5_110 |
| Popis: | The high quality and resolution of the time-frequency representation of Bio signals is one of the important area to depict geological structures which are used to reveal the valuable information hidden in them. In this paper, we proposed time-frequency analysis of Bio signal EMG using the empirical wavelet transform (EWT) which is a new approach for analyzing multichannel Bio signals. Comparative results of the EWT, STFT (short time Fourier transform) and CWT (continuous wavelet transform) were analyzed in MATLAB. Overall comparison of the results based on EMT with those obtained from STFT and CWT signals, revealed that PSNR values has been reasonably increased for EWT. In addition, it was observed that presence of EWT-based instantaneous frequency spectra can produce much sparser representation and much higher time frequency resolution than the traditional CWT approach. This emphasizes the feature of empirical wavelet transform. |
| Databáze: | OpenAIRE |
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