Multifractal detrended cross correlation analysis of neuro-degenerative diseases-An in depth study

被引：16
作者：
Dutta, Srimonti [1 ]
Ghosh, Dipak [2 ]
Chatterjee, Sucharita [3 ]
机构：
[1] Behala Coll, Dept Phys, Kolkata 700060, India
[2] Jadavpur Univ, Dept Phys, Kolkata 700032, India
[3] Bangabasi Coll, Dept Phys, Kolkata 700009, India
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2018年 / 491卷
关键词：
Fractals; Multifractals; Cross-correlation; Auto-correlation; Hurst exponent; LONG-RANGE CORRELATIONS; FLUCTUATION ANALYSIS; PARKINSONS-DISEASE; TIME-SERIES; FRACTAL DYNAMICS; STRIDE-INTERVAL; HUMAN GAIT; CRUDE-OIL; GOLD PRICE; BRAIN;
D O I：
10.1016/j.physa.2017.08.155
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This work revisits our previous study on human gait diseases, (Dutta et al., 2013) where we have studied the autocorrelation of human gait pattern in normal and diseased set. Significant difference in results was observed for normal and diseased set. However we were not able to distinguish between sets of Parkinson's and Huntington's disease. In this paper we attempt to study whether cross correlations between two feet of human gait pattern can help to distinguish between different diseased set. The results reveal that study of cross correlations can help to distinguish between Parkinson's and Huntington's disease. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：188 / 198
页数：11
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