Literature DB >> 20192059

Comparison of wavelet and short time Fourier transform methods in the analysis of EMG signals.

Mehmet Rahmi Canal1.   

Abstract

The electromyographic (EMG) signal observed at the surface of the skin is the sum of thousands of small potentials generated in the muscle fiber. There are many approaches to analyzing EMG signals with spectral techniques. In this study, the short time Fourier Transform (STFT) and wavelet transform (WT) were applied to EMG signals and coefficients were obtained. In these studies, MATLAB 7.01 program was used. According to obtained results, it was determined that WT is more useful than STFT in the fields of eliminating of resolution problem and providing of changeable resolution during analyze.

Mesh:

Year:  2010        PMID: 20192059     DOI: 10.1007/s10916-008-9219-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application.

Authors:  M Kemal Kiymik; Inan Güler; Alper Dizibüyük; Mehmet Akin
Journal:  Comput Biol Med       Date:  2005-10       Impact factor: 4.589

2.  Noise reduction based on ICA decomposition and wavelet transform for the extraction of motor unit action potentials.

Authors:  Xiaomei Ren; Zhiguo Yan; Zhizhong Wang; Xiao Hu
Journal:  J Neurosci Methods       Date:  2006-07-10       Impact factor: 2.390

3.  The use of the wavelet transform in EMG M-wave pattern classification.

Authors:  Jillian Salvador; Hubert de Bruin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006
  3 in total
  5 in total

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Journal:  Brain Struct Funct       Date:  2022-02-20       Impact factor: 3.270

2.  Estimation of Cavities beneath Plate Structures Using a Microphone: Laboratory Model Tests.

Authors:  Seonghun Kang; Jung-Doung Yu; Won-Taek Hong; Jong-Sub Lee
Journal:  Sensors (Basel)       Date:  2021-04-22       Impact factor: 3.576

3.  Analysis of the Biceps Brachii Muscle by Varying the Arm Movement Level and Load Resistance Band.

Authors:  Nuradebah Burhan; Mohammad 'Afif Kasno; Rozaimi Ghazali; Md Radzai Said; Shahrum Shah Abdullah; Mohd Hafiz Jali
Journal:  J Healthc Eng       Date:  2017-09-12       Impact factor: 2.682

4.  SEMG Feature Extraction Based on StockwellTransform Improves Hand MovementRecognition Accuracy.

Authors:  Haotian She; Jinying Zhu; Ye Tian; Yanchao Wang; Hiroshi Yokoi; Qiang Huang
Journal:  Sensors (Basel)       Date:  2019-10-14       Impact factor: 3.576

5.  A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide.

Authors:  Yuanyao Li; Jinsong Huang; Shui-Hua Jiang; Faming Huang; Zhilu Chang
Journal:  Sci Rep       Date:  2017-12-07       Impact factor: 4.379

  5 in total

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