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Effects of Filtering the Center of Pressure Feedback Provided in Visually Guided Mediolateral Weight Shifting
Author(s) -
Michael W. Kennedy,
Charles R. Crowell,
Michael Villano,
James P. Schmiedeler
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0151393
Subject(s) - center of pressure (fluid mechanics) , filter (signal processing) , visual feedback , balance (ability) , task (project management) , paradigm shift , computer science , physical medicine and rehabilitation , simulation , mathematics , artificial intelligence , computer vision , medicine , physics , engineering , systems engineering , aerodynamics , quantum mechanics , thermodynamics
Thirty healthy adults completed a mediolateral weight-shifting balance task in which they were instructed to shift their weight to visually displayed target regions. A model-based filter and three different moving average filters employing 10, 34, and 58 samples were applied to the center of pressure visual feedback that guided the activity. The effects of filter selection on both the displayed feedback and the shift performance were examined in terms of shift time and non-minimum phase behavior. Shift time relates to feedback delay and shift speed, whereas non-minimum phase behavior relates to the force applied in shift initiation. Results indicated that increasing the number of samples in moving average filters (indicative of stronger filtering) significantly increases shift speed and shift initiation force. These effects indicate that careful selection and documentation of data filtering is warranted in future work and suggest opportunities for strategic filtering of visual feedback in clinical weight-shifting balance activities in order to improve outcomes based on such feedback.

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