Related Experiment Videos
Reliability of a Feedback-Controlled Treadmill Algorithm Dependent on the User's Behavior.
Casey Wiens1, Will Denton1, Molly Schieber1
1Department of Biomechanics, University of Nebraska - Omaha, Omaha, NE.
IEEE International Conference on Electro Information Technology : [Proceedings]. IEEE International Conference on Electro Information Technology
|February 6, 2018
Summary
This study analyzed a feedback-controlled treadmill algorithm, finding it reliably reproduces mean belt speed. However, speed variation consistency requires same-day trials for optimal results in gait analysis.
Area of Science:
- Biomechanics
- Control Systems Engineering
- Human Movement Science
Background:
- Conventional treadmills have limitations in gait analysis.
- Feedback-controlled treadmill algorithms offer enhanced control by adapting to user biomechanics.
- Existing algorithms can be further refined to improve reliability.
Purpose of the Study:
- To assess the reliability of a novel feedback-controlled treadmill algorithm in maintaining consistent belt speed.
- To evaluate the algorithm's performance based on participant walking behavior and biomechanical factors.
- To determine the within-day and between-day reliability of treadmill belt speed parameters.
Main Methods:
- Nine healthy young adults participated in treadmill walking trials.
- A feedback-controlled treadmill algorithm adjusted belt speed based on estimated walking speed derived from biomechanical data.
- Participants completed one 16-minute and one 5-minute trial on day one, and one 16-minute trial on day two.
- Statistical analyses included mean, standard deviation, interclass correlation coefficient (ICC), and standard error of measurement (SEM).
Main Results:
- High interclass correlation coefficients (ICC) were observed for mean treadmill speed, both within-day and between-day.
- Treadmill speed standard deviation and coefficient of variation demonstrated significant reliability within-day.
- Between-day reliability for speed variation (standard deviation and coefficient of variation) was not as robust as for mean speed.
Conclusions:
- The developed algorithm reliably reproduces the mean treadmill belt speed across multiple trials and days.
- Consistent treadmill speed variation (standard deviation, coefficient of variation) is more reliably achieved when trials are conducted on the same day.
- This user-behavior-adaptive algorithm enhances control and minimizes constraints associated with conventional treadmill use in research settings.