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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
Published on: April 21, 2017
Repeatability of the accelerometric-based method to detect step events for hemiparetic stroke patients
Hyo-Ki Lee1, Joo-Han Kim, Hyoun-Seok Myoung
1Department of Biomedical Engineering, Yonsei University, Republic of Korea.
Summary
This study validates an accelerometric method for detecting step events in hemiparetic stroke patients. The findings show high repeatability and agreement with motion capture, confirming its utility for gait analysis.
Area of Science:
- Biomedical Engineering
- Rehabilitation Science
- Neurology
Background:
- Hemiparetic stroke often impairs gait, necessitating accurate methods for step event detection.
- Traditional motion capture systems are complex and costly, limiting widespread clinical use.
Purpose of the Study:
- To evaluate the repeatability and agreement of an accelerometric method for detecting step events in hemiparetic stroke patients.
- To compare accelerometric data with a gold-standard optical motion capture system.
Main Methods:
- Four adults with chronic hemiparetic stroke participated.
- A single three-axis accelerometer was used to collect gait data.
- Data was compared against a six-camera optical motion capture system using correlation statistics and Bland-Altman plots.
Main Results:
- The accelerometric method demonstrated excellent repeatability, with correlation coefficients of 0.99 (p < 0.001) for both initial testing and retesting.
- Bland-Altman analysis showed good agreement between the accelerometric and motion capture systems, with mean differences of 2.58 ± 2.37 ms and 3.73 ± 2.02 ms for retest.
Conclusions:
- The accelerometric method is a reliable and repeatable tool for detecting step events in hemiparetic stroke patients.
- This method offers a practical and potentially more accessible alternative to optical motion capture for gait analysis in stroke rehabilitation.
