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KMID : 1137820090300030213
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의공학회지
2009 Volume.30 No. 3 p.213 ~ p.220
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Development of a Novel Step Detection Algorithm for Gait Evaluation of Patients with Hemiplegia Based on Trunk Accelerometer
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Lee Hyo-Ki
Hwang Sung-Jae
Cho Sung-Pil
Lee Dong-Ryul
You Sung-Hyun
Lee Kyoung-Joung
Chung Ha-Joong
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Abstract
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In this study, we have developed a novel step detection algorithm for gait evaluation of patients with hemiplegia based on trunk accelerometry device. For this, we have used a bandpass filter and a least square acceleration (LSA) filter which is characterized by emphasizing the peak or valley point of the acceleration signals for each 3-axis accelerometer signals. To evaluate the algorithm, the detected steps by developed algorithm and real steps by the motion analysis system were compared. As a result, we could obtain the sensitivity of 96.44%, the specificity of 99.94% and the accuracy of 99.90% for the patients’ data sets and the sensitivity of 100%, the specificity of 99.93% and the accuracy of 99.93% for the normal data sets. In conclusion, the developed algorithm is useful for the step detection for patients with hemiplegia as well as normal subjects.
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KEYWORD
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Accelerometer, Motion analysis system, Least square acceleration filter, Gait assessment, Step detection
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