Wavelet denoising and Surface Electromyography analysis

M. S. Hussain, Md. Mamun Ibne Reaz

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this research, Surface Electromyography (SEMG) signal analysis from the right rectus femoris muscle is performed during walk. Wavelet Transform (WT) has been applied for removing noise from the surface SEMG. Gaussianity tests are conducted to understand changes in muscle contraction and to quantify the effectiveness of the noise removal process. Results show that the proposed method can effectively remove noise from the raw SEMG signals for further analysis.

Original languageEnglish
Pages (from-to)2372-2374
Number of pages3
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume4
Issue number15
Publication statusPublished - 2012

Fingerprint

Electromyography
Muscle
Signal analysis
Wavelet transforms

Keywords

  • Denoising
  • Gaussianity
  • SEMG
  • Wavelet transform

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

Cite this

Wavelet denoising and Surface Electromyography analysis. / Hussain, M. S.; Ibne Reaz, Md. Mamun.

In: Research Journal of Applied Sciences, Engineering and Technology, Vol. 4, No. 15, 2012, p. 2372-2374.

Research output: Contribution to journalArticle

@article{3caaeb007d8546948117edca1a4e18e0,
title = "Wavelet denoising and Surface Electromyography analysis",
abstract = "In this research, Surface Electromyography (SEMG) signal analysis from the right rectus femoris muscle is performed during walk. Wavelet Transform (WT) has been applied for removing noise from the surface SEMG. Gaussianity tests are conducted to understand changes in muscle contraction and to quantify the effectiveness of the noise removal process. Results show that the proposed method can effectively remove noise from the raw SEMG signals for further analysis.",
keywords = "Denoising, Gaussianity, SEMG, Wavelet transform",
author = "Hussain, {M. S.} and {Ibne Reaz}, {Md. Mamun}",
year = "2012",
language = "English",
volume = "4",
pages = "2372--2374",
journal = "Research Journal of Applied Sciences, Engineering and Technology",
issn = "2040-7459",
publisher = "Maxwell Scientific Publications",
number = "15",

}

TY - JOUR

T1 - Wavelet denoising and Surface Electromyography analysis

AU - Hussain, M. S.

AU - Ibne Reaz, Md. Mamun

PY - 2012

Y1 - 2012

N2 - In this research, Surface Electromyography (SEMG) signal analysis from the right rectus femoris muscle is performed during walk. Wavelet Transform (WT) has been applied for removing noise from the surface SEMG. Gaussianity tests are conducted to understand changes in muscle contraction and to quantify the effectiveness of the noise removal process. Results show that the proposed method can effectively remove noise from the raw SEMG signals for further analysis.

AB - In this research, Surface Electromyography (SEMG) signal analysis from the right rectus femoris muscle is performed during walk. Wavelet Transform (WT) has been applied for removing noise from the surface SEMG. Gaussianity tests are conducted to understand changes in muscle contraction and to quantify the effectiveness of the noise removal process. Results show that the proposed method can effectively remove noise from the raw SEMG signals for further analysis.

KW - Denoising

KW - Gaussianity

KW - SEMG

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=84863757346&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863757346&partnerID=8YFLogxK

M3 - Article

VL - 4

SP - 2372

EP - 2374

JO - Research Journal of Applied Sciences, Engineering and Technology

JF - Research Journal of Applied Sciences, Engineering and Technology

SN - 2040-7459

IS - 15

ER -