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가속도계 기반의 편마비 환자 보행 평가를 위한 보 검출
李孝基(Hyo-ki Lee),李景中(Kyoung-joung Lee),金榮浩(Young-ho Kim),朴時?(Si-woon Park) 대한전기학회 2006 전기학회논문지 D Vol.55 No.10
In this paper, an algorithm to detect steps in hemiplegic patients using a 3-axis accelerometer attached on the trunk was proposed. The proposed algorithm consisted of the signal pre-processing, the step detector, the classification of steps and the calculation of stride time. Two FIR band-pass filters were designed and steps were measured by the combination of filtered signals in the vertical and the anteroposterior directions. In addition, the classification of steps and the calculation of stride time were computed by using the detected steps and lateral signals. For the experiment, fourteen hemiplegic patients were participated and the linear accelerations of the trunk and foot switch signals were measured synchronously. To evaluate the system performance, the detected steps and initial contacts by the foot switch were compared. The average error between the steps and initial contacts was 0.024ms and the difference of the average stride time was 0.01s. Finally, all gait events were detected exactly. Results showed that the accelerometry could use for the gait evaluation in clinical rehabilitation therapies.
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.
슬라이딩 모드 제어를 이용한 단상 유도전동기의 저 전류 기동 시뮬레이션
김효기,이병하,Kim, Hyo-Ki,Lee, Byung-Ha 한국조명전기설비학회 2007 조명·전기설비학회논문지 Vol.21 No.8
단상유도전동기의 기동전류를 줄이기 위하여 슬라이딩모드 제어기가 적용된다. 단상유도전동기의 기동전류가 정격치 이하로 유지되도록 슬라이딩모드 제어기의 스위칭 기능을 조절함으로써 전동기 입력전압이 제어되며 또한 속도도 제어된다. 슬라이딩 모드 제어기의 스위칭은 속도 오차 신호와 속도 변화량에 대하여 적절이 수행된다. 단상 유도 전동기의 기동특성이 슬라이딩 제어기를 사용하여 크게 향상될 수 있음을 보여 준다. In this paper, the Sliding Mode Controller is applied to reduce the starting current of the single phase induction motor. The input voltage to the single phase induction motor is controlled so that the starting current of the motor may be maintained within the rating value and the velocity is also controlled, by adjusting the switching function of the Sliding Mode Controller. The switching of sliding control made appropriately with regard to velocity error signal and acceleration signal. It is shown that the starting characteristics of the single phase induction motor(SPIM) can be greatly enhanced through the sliding control of single phase induction motor.