뇌졸중으로 인한 편마비 환자의 보행평가를 위한 체중심 가속도센서 기반의 새로운 보 검출 알고리즘 개발

• Published in: Journal of biomedical engineering research Vol. 30; no. 3; pp. 213 - 220
• Main Authors: 이효기, 황성재, 조성필, 이동률, 유승현, 이경중, 김영호, 정하중, Lee, Hyo-Ki, Hwang, Sung-Jae, Cho, Sung-Pil, Lee, Dong-Ryul, You, Sung-Hyun, Lee, Kyoung-Joung, Kim, Young-Ho, Chung, Ha-Joong
• Format: Journal Article
• Language: Korean
• Published: 대한의용생체공학회 01.06.2009
• Subjects: 의공학; Step detection; Accelerometer; Least square acceleration filter; Gait assessment; Motion analysis system
• ISSN: 1229-0807; 2288-9396

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.