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Updated: Jun 18, 2026
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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
Published on: March 4, 2018
Novel algorithm for the hemiplegic gait evaluation using a single 3-axis accelerometer.
Hyo-Ki Lee1, Sung-Jae Hwang, Sung-Pil Cho
1Department of Biomedical Engineering, Yonsei University, Republic of Korea.
Summary
This study presents a new algorithm using a 3-axis accelerometer to estimate gait parameters in hemiplegic patients. The validated algorithm accurately measures gait in both patients and normal subjects.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Wearable Sensors
Background:
- Gait analysis is crucial for assessing hemiplegic patients.
- Accurate gait parameter estimation is challenging with traditional methods.
- Wearable sensors offer a potential solution for remote gait monitoring.
Purpose of the Study:
- To develop and validate a novel algorithm for estimating gait parameters in hemiplegic patients.
- To assess the algorithm's performance using a 3-axis accelerometer.
- To compare the algorithm's accuracy against a gold-standard motion analysis system.
Main Methods:
- A novel algorithm was developed for gait parameter estimation.
- Signal processing involved a bandpass filter and a least square acceleration filter.
- Performance was evaluated by comparing stride and step time with a Vicon motion analysis system.
Main Results:
- High correlation coefficients were observed for stride and step time.
- Correlation coefficients ranged from 0.90 to 0.99 for hemiplegic patients.
- Correlation coefficients ranged from 0.92 to 0.99 for normal subjects.
Conclusions:
- The novel algorithm demonstrates high accuracy in estimating gait parameters.
- The algorithm is effective for both hemiplegic and normal gait analysis.
- This technology holds promise for improved gait rehabilitation and monitoring.
