Non linear approach to study the dynamics of neurodegenerative diseases by Multifractal Detrended Cross-correlation Analysis—A quantitative assessment on gait disease

Srimonti Dutta, Dipak Ghosh and Shukla Samanta

Physica A: Statistical Mechanics and its Applications, 2016, vol. 448, issue C, 181-195

Abstract: This paper studies the human gait pattern of normal people and patients suffering from Parkinson’s disease using the MFDXA (Multifractal Detrended Cross-correlation Analysis) methodology. The auto correlation and cross correlation of the time series of the total force under the left foot and right foot were studied. The study reveals that the degree of multifractality (W) and degree of correlation (γ) are generally more for normal patients than the diseased set. It is also observed that the values of W and γ are nearly same for left foot and right. It is also observed that the study of autocorrelation alone is not sufficient, cross correlations should also be studied to get a better concept of neurodegenerative diseases.

Keywords: Fractals; Multifractals; Cross-correlation; Auto-correlation; Hurst exponent (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:448:y:2016:i:c:p:181-195

DOI: 10.1016/j.physa.2015.12.074

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