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Multifractal Analysis of Electromyography Data

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Multifractals and Chronic Diseases of the Central Nervous System

Abstract

Myopathies (MYO) are a group of disorders where malfunction of muscle fibers occurs for a number of reasons which results in a muscular dysfunction manifesting weakness of muscles. Neuropathies are also disorders of the peripheral nervous system for which information transmission from brain and spinal cord to every other part of the body is disturbed. For diagnosis and characterization of motor neuron disease (MND), myopathy, and neuropathy, the electromyography (EMG) is extensively used since EMG signal can be analyzed to obtain information in regard to degree of disorder. The contents of the chapter deal with the details of a rigorous and robust non-linear technique, namely, multifractal detrended fluctuation analysis, to assess the multifractal property of EMG signals of patients with neuromuscular disorders and also use of two quantitative parameters, the multifractal width, and the auto-correlation exponent as biomarker for diagnosis and prognosis of both MYO and NEURO and even for early detection of MND.

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Authors and Affiliations

  1. Department of Physics, Sir C V Raman Centre for Physics and Music, Jadavpur University, Kolkata, West Bengal, India

    Dipak Ghosh

  2. Department for Physics, Seacom Engineering College, Howrah, West Bengal, India

    Shukla Samanta

  3. Electrical and Electronics Engineering, ICFAI University, Agartala, Tripura, India

    Sayantan Chakraborty

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  1. Dipak Ghosh
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  2. Shukla Samanta
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  3. Sayantan Chakraborty
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Ghosh, D., Samanta, S., Chakraborty, S. (2019). Multifractal Analysis of Electromyography Data. In: Multifractals and Chronic Diseases of the Central Nervous System. Springer, Singapore. https://doi.org/10.1007/978-981-13-3552-5_4

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