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Activity Number:
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74
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #304781 |
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Title:
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Using Haar Wavelets and Order Recurrence Plots (ORPs) to Statistically Assess Gait Fatigue
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Author(s):
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Kristin D. Morgan*+ and Carolyn B. Morgan and Peter Pidcoe and Morris H. Morgan
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Companies:
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Virginia Commonwealth University and Hampton University and Virginia Commonwealth University and Hampton University
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Address:
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West Hospital, Basement, Richmond, VA, 23298,
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Keywords:
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Haar wavelets ; order recurrence plots ; statistical model
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Abstract:
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Studies have been conducted to assess the dynamics of the human gait. The results were used to improve the wear characteristics of commercial athletic footwear, to develop better anthropomorphic robots with dynamic features matching human performance, and to detect fatigue for post-operative assessment following invasive procedures. The goal of this study is to assess the synchronization level existing between signals arising from different test channels - force plate and 3-D accelerometers - used to measure human gait responses for a specified gait fatigue protocol. The test channel data can be noisy and must be filtered prior to analysis. An array of engineering filters will be used to enhance the signal to noise character of such signals. The major focus of this study will center on using the Haar wavelet and order recurrence plots for the detection of fatigue onset.
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