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뇌졸중으로 인한 편마비 환자의 보행평가를 위한 체중심 가속도센서 기반의 새로운 보 검출 알고리즘 개발
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 대한의용생체공학회 2009 의공학회지 Vol.30 No.3
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.
마이크로 컴퓨터에 의한 심전도 데이타 압축 알고리즘의 개선
이명호,이경중,황선철,정혁구 연세대학교 대학원 1988 延世論叢 Vol.24 No.-
This paper represents an improved ECG data reduction algorithm which is very useful for real time ECG analysis based-on microcomputer. In order to increase data reduction rate of Turning Point(TP), existing real time data reduction algorithm. The results obtained from the improved Modified Turning point(MTP) data reduction algorithm applied to three different pattern ECG signals. (1) The average data reduction rate of MTP algorithm is 67%, which is increased by 17% than that of TP algorithm. (2) The average percent rms difference(APRD) which is a normalized value that indicates the error between two signals is 9.4% for TP algorithm, while the APRD of MTP algorithm is 6.2% for MTP algorithm. It means that the PRD can be improved by 3.19. Therefore, it gives more excellent resolution than that of TP algorithm.