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The Effects of Aging and Dual Tasking on Human Gait Complexity: A Comparative Study Using Quantized Dynamical Entropy and Sample Entropy

[+] Author and Article Information
Samira Ahmadi

ASME Student Member, Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada; Room E1-451 EITC, 15 Gillson Street, Winnipeg, MB, R3T 5V6, Canada
ahmadis3@myumanitoba.ca

Christine Q. Wu

ASME Fellow, Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada, Room E2-327 Engineering Information and Technology Complex, 75A Chancellors Circle, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada
christine.wu@umanitoba.ca

Nariman Sepehri

ASME Fellow, Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada, Room E2-327 Engineering Information and Technology Complex, 75A Chancellors Circle, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada
nariman.sepehri@umanitoba.ca

Anuprita Kantikar

College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada, R106 - 771 McDermot Avenue, University of Manitoba, Winnipeg, MB, R3E 0T6, Canada
anuprita.kan@gmail.com

Mayur Nankar

College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada; R106 - 771 McDermot Avenue, University of Manitoba, Winnipeg, MB, R3E 0T6, Canada
mayur5522@gmail.com

Tony Szturm

Department of Physical Therapy, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada; R106 - 771 McDermot Avenue, University of Manitoba, Winnipeg, MB, R3E 0T6, Canada
tony.szturm@umanitoba.ca

1Corresponding author.

ASME doi:10.1115/1.4037945 History: Received December 13, 2016; Revised September 13, 2017

Abstract

Quantized Dynamical Entropy (QDE) has recently been proposed as a new measure to quantify the complexity of dynamical systems with the purpose of offering a better computational efficiency. This paper further investigates the viability of this method using five different human gait signals. These signals are recorded while normal walking and while performing secondary tasks among two age groups (young and older age groups). The results are compared with the outcomes of previously established Sample Entropy (SampEn) measure for the same signals. We also study how analyzing segmented and spatially and temporally normalized signal differs from analyzing whole data. Our findings show that human gait signals become more complex as people age and while they are cognitively loaded. Centre of foot pressure displacement in medio-lateral direction is the best signal for showing the gait changes. Moreover, the results suggest that by segmenting data, more information about intra-stride dynamical features are obtained. Most importantly, QDE is shown to be a reliable measure for human gait complexity analysis.

Copyright (c) 2017 by ASME
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