The aim of this study is to analyze the origin of multifractality of surface electromyography (sEMG) signals during dynamic contraction in nonfatigue and fatigue conditions. sEMG signals are recorded from triceps brachii muscles of 22 healthy subjects. The signals are divided into six equal segments on time scale for normalization. The first and sixth segments are considered as the nonfatigue and fatigue conditions, respectively. The source of multifractality can be due to correlation and probability distribution. The original sEMG series are transformed into shuffled and surrogate series. These three series namely, original, shuffled, and surrogate series in the nonfatigue and fatigue conditions are subjected to multifractal detrended fluctuation analysis (MFDFA) and features are extracted. The results indicate that sEMG signals exhibit multifractal behavior. Further investigation revealed that origin of multifractality is primarily due to correlation. The origin of multifractality due to correlation is quantified as 80% in nonfatigue and 86% in fatigue conditions. This method of multifractal analysis may be useful for analyzing the progressive changes in muscle contraction in varied neuromuscular studies.
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August 2015
Research-Article
Analyzing Origin of Multifractality of Surface Electromyography Signals in Dynamic Contractions
Kiran Marri,
Kiran Marri
NIID Lab,
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: kirankmr@gmail.com
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: kirankmr@gmail.com
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Ramakrishnan Swaminathan
Ramakrishnan Swaminathan
NIID Lab,
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: sramki@iitm.ac.in
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: sramki@iitm.ac.in
Search for other works by this author on:
Kiran Marri
NIID Lab,
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: kirankmr@gmail.com
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: kirankmr@gmail.com
Ramakrishnan Swaminathan
NIID Lab,
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: sramki@iitm.ac.in
Biomedical Engineering Group,
Department of Applied Mechanics,
Indian Institute of Technology Madras,
Chennai 600036, India
e-mail: sramki@iitm.ac.in
1Corresponding author.
Manuscript received July 31, 2015; final manuscript received November 4, 2015; published online March 8, 2016. Assoc. Editor: Charalabos Doumanidis.
J. Nanotechnol. Eng. Med. Aug 2015, 6(3): 031002 (9 pages)
Published Online: March 8, 2016
Article history
Received:
July 31, 2015
Revised:
November 4, 2015
Citation
Marri, K., and Swaminathan, R. (March 8, 2016). "Analyzing Origin of Multifractality of Surface Electromyography Signals in Dynamic Contractions." ASME. J. Nanotechnol. Eng. Med. August 2015; 6(3): 031002. https://doi.org/10.1115/1.4032005
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Appendix: Non-Biomedical Application
Modified Detrended Fluctuation Analysis (mDFA)