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명현석(Hyoun-seok Myoung),이효기(Hyo-ki Lee),이경중(Kyoung-joung Lee),권오윤(Oh-yun Kwon) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.10
In this study, we designed a digital inclinometer to measure the angle and acceleration signals. Digital inclinometer consists of a tilt sensor, accelerometer, one-chip micro controller and BlueTooth module. Using the developed system, we made an experiment with Roll. The subject is laid on the Roll and rises each fool. 90° and 45° up, and measures angle and acceleration signals with 100㎐ sampling frequency. Through several tests, we could find the possibilities and usefulness which can evaluate normality / abnormality of body posture objectively.
명현석(Hyoun-seok Myoung),이효기(Hyo-ki Lee),이경중(Kyoung-joung Lee),권오윤(Oh-yun Kwon) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.4
In this paper, a digital inclinometer to measure the angle and acceleration signals of subject laid on Roll was designed. The designed system consists of a tilt sensor, biaxial accelerometer, microcontroller and Blue Tooth module. The designed digital inclinometer was easy to handle and easy to wear. To evaluate the performance of the system, we measured simultaneously the angle and acceleration signals from the 3 subjects on the Roll with two instruments which are ZEBRIS and our system. The measured signals were processed by statistical method and then the correlation coefficient of 0.93 was shown. From the results, the designed digital inclinometer is shown to be useful in assessment of body movement.
명현석(Hyoun-Seok Myoung),이효기(Hyo-Ki Lee),이경중(Kyoung-Joung Lee),권오윤(Oh-Yun Kwon) 대한전자공학회 2008 電子工學會論文誌-SC (System and control) Vol.45 No.1
본 논문에서는 롤(Roll)에 누워 있는 피검자의 각도와 가속도 신호를 측정하기 위한 디지털 경사계 설계하였다. 개발된 시스템은 기울기 센서(tilt sensor), 2축 가속도 센서(biaxial accelerometer), 마이크로프로세서(single chip microprocessor)와 블루투스(BlueTooth module)로 구성된다. 개발된 디지털 시스템은 다루기 쉽고 쉽게 착용 할 수 있다. 시스템을 성능을 평가하기 위해서 Roll위의 3명의 피검자로부터 각도와 가속도 신호는 ZEBRIS와 디지털 경사계에 의해서 동기화하여 측정하였다. 측정된 신호는 정량적인 방법에 의해서 처리되며 그때의 상관계수가 0.93임을 보여 준다. 이와 같은 결과로부터 디지털 경사계는 몸의 움직임을 평가하는데 유용할 것으로 보여 진다. In this paper, a digital inclinometer to measure the angle and acceleration signals of subject laid on Roll was designed. The designed system consists of a tilt sensor, biaxial accelerometer, single chip microprocessor and Bluetooth module. The designed digital inclinometer was easy to handle and to wear. To evaluate the performance of the system, we measured simultaneously the angle and acceleration signals from the 3 subjects on the Roll using two instruments which are ZEBRIS and designed system. The measured signals were processed by statistical method and then the correlation coefficient of 0.93 was shown. From the results, the designed digital inclinometer is shown to be useful in assessment of body movement.
영아 돌연사 방지를 위한 비접촉 방식의 가정용 영아 호흡 감시 시스템 개발
허일강,명현석,이경중,Heo, Il-Kang,Myoung, Hyoun-Seok,Lee, Kyoung-Joung 대한의용생체공학회 2015 의공학회지 Vol.36 No.2
Sudden infant death syndrome(SIDS) continues to be general cause of infant death. Also, apnea is supposed to be one of the main risk factor of SIDS. Therefore, Infant's respiratory monitoring and real-time apnea detection is very important to prevent SIDS. In this study, we proposed a non-contact home monitoring system for infant's respiration using Doppler radar in order to prevent SIDS. The respiration data were acquired from a commercialized baby simulator(Simbaby$^{TM}$) using a Doppler radar. To evaluate a performance of the proposed system, the simulator was placed in a supine and prone position and the chest belt was used simultaneously as a reference signal. As a result, correlation coefficients between respiration rates of Doppler radar and the chest belt in each position were 0.95(p < 0.001) and 0.98(p < 0.001), respectively. The averages of difference were $-0.29{\pm}5.21(mean{\pm}1.96{\cdot}$ standard deviation) in supine and $-0.12{\pm}3.05$ in prone from Bland-Altman analysis. The results indicated an excellent performance in detecting apnea with a sensitivity of 100% and a positive predictive value of 100% in each posture respectively. These results demonstrated that a proposed Doppler radar system is suitable for non-contact respiratory monitoring in order to prevent SIDS of infant.
LMS 적응필터를 이용한 직교 함수 기반의CPR 잡음 제거 알고리즘 설계
임은호,남동훈,명현석,강동원,전대근,윤영로,이경중,Lim, Eunho,Nam, Dong-Hoon,Myoung, Hyoun-seok,Kang, Dong-Won,Jeon, Dae-Keun,Yoon, Young-Ro,Lee, Kyoung-Joung 대한의용생체공학회 2016 의공학회지 Vol.37 No.5
This study proposes an algorithm for removal of CPR artifact in order that automated external defibrillator (AED) can effectively diagnose ECG rhythm during cardiopulmonary resuscitation (CPR). Current AED required to interrupt chest compression for reliable rhythm analysis to avoid the effect of artifacts produced by CPR. However even temporarily interruption of chest compression during CPR adversely affects the probability of restoration of spontaneous circulation (ROSC) and survival after the delivery of the shock. Therefore, we proposed a method for removal of CPR artifacts using least mean square (LMS) filter. The removal of the CPR artifacts would enable compressions to continue during AED rhythm analysis, thereby increasing the likelihood of resuscitation success. It was tested on 31 segments of shockable and 300 segments of non-shockable ECG signals recorded from three pigs during CPR. In the result, sensitivity (Se) and specificity (Sp) analysis on the test segments showed values of Se = 3.2%, Sp = 66.0% and Se = 96.8%, Sp = 98.7% in the case of unfiltered and filtered signals during CPR. In conclusion, it was shown that the proposed method can be a useful tool to exactly diagnose the ECG rhythm during the CPR.