caa a22 4500 467939861 CHVBK 20180406153009.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s00421-006-0226-5 doi (NATIONALLICENCE)springer-10.1007/s00421-006-0226-5 Complexity analysis of stride interval time series by threshold dependent symbolic entropy [Elektronische Daten] [Wajid Aziz, Muhammad Arif] The stride interval of human gait fluctuates in complex fashion. It reflects the rhythm of the locomotor system. The temporal fluctuations in the stride interval provide us a non-invasive technique to evaluate the effects of neurological impairments on gait and its changes with age and disease. In this paper, we have used threshold dependent symbolic entropy, which is based on symbolic nonlinear time series analysis to study complexity of gait of control and neurodegenerative disease subjects. Symbolic entropy characterizes quantitatively the complexity even in time series having relatively few data points. We have calculated normalized corrected Shannon entropy (NCSE) of symbolic sequences extracted from stride interval time series. This measure of complexity showed significant difference between control and neurodegenerative disease subjects for a certain range of thresholds. We have also investigated complexity of physiological signal and randomized noisy data. In the study, we have found that the complexity of physiological signal was higher than that of random signals at short threshold values. Springer-Verlag, 2006 Gait dynamics nationallicence Neurodegenerative diseases nationallicence Symbolic analysis nationallicence Physiological complexity nationallicence Aziz Wajid Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan aut Arif Muhammad Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan aut European Journal of Applied Physiology Springer-Verlag 98/1(2006-09-01), 30-40 1439-6319 98:1<30 2006 98 421 https://doi.org/10.1007/s00421-006-0226-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00421-006-0226-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Aziz Wajid Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan aut NATIONALLICENCE 700 1- Arif Muhammad Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan aut NATIONALLICENCE 773 0- European Journal of Applied Physiology Springer-Verlag 98/1(2006-09-01), 30-40 1439-6319 98:1<30 2006 98 421 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer