Event detection error differences between gait events detected from shank accelerometers and force plates.

Event detection error differences between gait events detected from shank accelerometers and force plates.

<p>The initial estimates were based on peaks and crossings of the filtered shank accelerometer data (rows 1 & 2). The systematic biases were negative indicating that the initial accelerometer-based estimates preceded the GRF-based estimates. Removing the systematic bias reduced absolute er...

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Bibliographic Details
Main Author: Trevor V. Evans (22560175) (author)
Other Authors: Megan E. Reissman (22560178) (author), Timothy Reissman (5410679) (author), Mark Shelhamer (203968) (author), Ajit M. W. Chaudhari (6253808) (author)
Published: 2025
Subjects:
Evolutionary Biology
Ecology
Sociology
Inorganic Chemistry
Science Policy
Biological Sciences not elsewhere classified
present vs removed
one without headphones
mixed effects models
treadmill belt motors
detect gait events
xlink "> self
two different conditions
auditory feedback effect
pacing treadmill would
treadmill motor sounds
temporal gait patterns
auditory feedback
treadmill conditions
temporal patterns
pacing treadmill
variable sounds
significantly different
motor planning
temporal measures
gait speed
swing time
step time
potential incorporation
potential factor
minute periods
may influence
custom accelerometer
controlled self
controlled environment
based algorithm
average values
assessing locomotion
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Summary:<p>The initial estimates were based on peaks and crossings of the filtered shank accelerometer data (rows 1 & 2). The systematic biases were negative indicating that the initial accelerometer-based estimates preceded the GRF-based estimates. Removing the systematic bias reduced absolute error in the final estimates of heel strike and toe off (row 3). SD: standard deviation of the average errors.</p>

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