• Journal of information and communication convergence engineering
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• 제8권1호
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• pp.112-115
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• 2010

The heart rate is the most important vital sign in diagnosing heart status. The simple method to measure the heart rate in the mobile healthcare device is using the PPG signal. In developing the mobile healthcare device using the PPG signal, the most important issue is the inaccuracy of the measured heart rate because the PPG signal is distorted from the user's motions. To improve the problem, this study proposed the new method that is to estimate the heart rate without an additional sensor in real life. The proposed method in this study is using the histogram filter. In order to evaluate the performance of the proposed method, the study compares its results with the moving average method in motion environment. According to the experimental results, the performance of the proposed method was more than 40% better than the performances of the MAF.

• 예술인문사회 융합 멀티미디어 논문지
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• 제9권6호
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• pp.701-709
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• 2019

최근에 헬스케어와 관련된 다양한 분야에서 생체신호 중 하나인 심박신호가 사용되고 있다. 기존에 제안된 심박신호 검출 방법으로는 접촉식 방법이 대부분이었지만, 피사체가 장치를 접촉하고 있어야 한다는 불편함의 문제가 있었다. 이를 해결하기 위해 최근 비접촉식 방법에 의한 검출 연구가 진행되고 있다. 본 논문에서는 지정맥 인식을 위해 설계된 손가락 영상 촬영 장치를 이용해 심박 유사 신호를 얻어내는 방법을 제안한다. 검출된 심박 유사 신호는 지정맥의 위조 여부 판단과 심박 신호를 통한 다양한 응용분야에 활용될 수 있다. 제안하는 방법은 적외선을 이용한 지정맥 영상의 시간 도메인상의 밝기 값의 변화로부터 신호를 검출하고 영상처리 기반 알고리즘을 이용해 주파수 도메인으로 변환하였다. 변환 후, 대역 통과 필터링을 통해 심박신호와 관련이 없는 노이즈를 제거하였다. 신호의 정확성을 판단하기 위해 지정맥 획득 장치와 식품의약품안전처로부터 승인을 받은 접촉식 PPG 센서를 이용해 동시에 취득된 두 신호의 상관관계를 분석하였다. 결과적으로, 지정맥 영상을 통해 비접촉식으로 검출된 심박신호가 실제 심박신호의 파형과 일치함을 확인하는 것이 가능했다.

• 센서학회지
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• 제20권2호
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• pp.118-123
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• 2011

Heart related diseases mainly caused by heavy work load and increasing stress in human daily life. Therefore, researches on mobile healthcare monitoring for daily life has been carried out. Notably, wearable healthcare monitoring system which has least restriction has been tried to provide an emergency alert of abnormal heart rate. In this study, we developed chair type unconstrained BCG measurement system which able to perform continuous heart status monitoring at the office and daily life in the unconstrained way. Furthermore, adaptive threshold is used to detect the heart rate from BCG signals. The HRV(heart rate variability) is calculated from heart rate interval. ECG signal measured using conventional method and BCG signal measured using unconstraint system are carried out simultaneously for the purpose of performance evaluation. From the comparison result, BCG signal shows a similar heart beat characteristic as ECG signal. This proves the possibility of practical implementation of unconstraint healthcare monitoring system. In addition, medical examination like valsalva maneuver is performed to observe the changes in HRV due to stress. By performing valsalva maneuver, heart is said to be placed under an artificial physical stress condition. Under this artificial physical stress condition, the time and frequency domain of HRV parameters are evaluated.

• 대한의용생체공학회:의공학회지
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• 제31권2호
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• pp.170-175
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• 2010

A method of measuring heart rate using photoplethysmograph(PPG) signal during exercise is proposed. PPG's are composed of strong base tones and their harmonics, and the strong base tones are trackable by the adaptive notch filter (ANF) which adjusts its coefficients to minimize the output power. The proposed heart rate measurement algorithm continuously notches the frequency component with the maximum power in the measured PPG, so that the fundamental frequency corresponding to heart rate is traced. We also presents methods of detecting degeneration and impulsive noise blocks to minimize the coefficient fluctuation. Experiments were conducted using real PPG signals captured during exercise. Results showed that the proposed algorithm is capable of consistently tracking the heart rate embedded in the noisy PPG's.

• 대한의용생체공학회:의공학회지
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• 제12권3호
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• pp.209-214
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• 1991

Digital fetal monitoring system based on the personal computer combined with the digital signal processing (DSP) board was implemented. The DSP board acquires and digitally processes ultra- sound fetal Doppler signal for digital signal conditioning, rectification, low -pass filtering, autocorrealtion function calculation and its peak detection. The personal computer interfaced with the DSP board is in charge of graphic display, hardcopy, data transmission and on -line analysis of fetal heart rate change including on - line warning system, base -line estmation, acceleration, deceleration and variability. It is one of the most suitable situation to apply the DSP chip for siganl conditioning, digital filtering of ultrasound fetal Dopier signal and fetal heart rate estimation using autocorrelation technique .

• 센서학회지
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• 제27권6호
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• pp.407-413
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• 2018

Most sleep apnea patients exhibit severe snoring, and long-lasting sleep apnea may cause insomnia, hypertension, cardiovascular diseases, stroke, and other diseases. Although polysomnography is the typical sleep diagnostic method to accurately diagnose sleep apnea by measuring a variety of bio-signals that occur during sleep, it is inconvenient as the patient has to sleep with attached electrodes at the hospital for the diagnosis. In this study, a diagnostic pillow is designed to measure respiration, heart rate, and snoring during sleep, using only one polyvinylidene fluoride (PVDF) sensor. A PVDF sensor with piezoelectric properties was inserted into a specially made instrument to extract accurate signals regardless of the posture during sleep. Wavelet analysis was used to identify the extractability and frequency domain signals of respiration, heart rate, and snoring from the signals generated by the PVDF sensor. In particular, to separate the respiratory signal in the 0.2~0.5 Hz frequency region, wavelet analysis was performed after removing 1~2 Hz frequency components. In addition, signals for respiration, heart rate, and snoring were separated from the PVDF sensor signal through a Butterworth filter and median filter based on the information obtained from the wavelet analysis. Moreover, the possibility of measuring sleep apnea from these separated signals was confirmed. To verify the usefulness of this study, data obtained during sleeping was used.

• 한국정보통신학회논문지
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• 제14권3호
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• pp.723-728
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• 2010

본 연구는 국내의 간호 인력 부족으로 인하여 발생되는 간호 업무 부하를 감소시키기 위해 PPG 신호를 이용한 휴대형 심박수 측정 장치의 설계 방법과 환자의 움직임인 동잡음에서도 신뢰성이 높은 심박수 측정 알고리즘을 제안하였다. 제안된 심박수 측정방법은 생체 신호의 하모닉 특성을 기반한 적응필터로 동잡음을 제거하고 심박수를 측정하는 방법이다. 제안된 기법으로 구현된 심박수 측정기의 성능을 평가하기 위해 손가락 떨림, 손목 움직임 등의 동잡음을 발생시켜 실험하고, 일반적인 방법인 이동평균 필터의 성능과 비교 평가 하였다. 이 실험 결과에서 제안된 기법의 성능이 이동평균 필터의 성능보다 우수한 성능을 보였다. 따라서 본 연구에서 제안한 휴대형 심박수 측정기를 간호업무에 도입한다면, 간호 업무 개선과 보다 선뢰성이 높은 심박수 측정이 가능할 것으로 사료된다.

• 융합신호처리학회논문지
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• 제20권1호
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• pp.51-56
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• 2019

본 논문은 모바일 환경에서의 BCG기반 심박 수 측정을 위한 향상된 심박 신호 추출 방법을 제안한다. 우선, 모바일 카메라를 이용하여 사용자의 얼굴을 촬영한 비디오로부터 얼굴 특징과 배경 특징을 동시에 추적함으로써 손 떨림에 의한 영향을 제거한 머리 움직임 신호를 추출한다. 그리고 머리 움직임 신호로부터 심박 신호를 정확하게 분리해내기 위해 신호의 주기성을 계산하는 새로운 방법을 제안한다. 제안 방법은 모바일 얼굴 비디오로부터 강건하게 심박 신호를 추출할 수 있으며, 기존 방법에 비해 보다 정확하게 심박 수 측정(측정 오차가 3-4 bpm 감소)을 할 수 있다.

• 대한의용생체공학회:의공학회지
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• 제3권1호
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• pp.23-30
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• 1982

The regimen of physical activity of the patient with coronary artery disease requires that he should not overshoot the prescribed heart rate based on his age, health and fuctional status of the heart during his exercise. The step input of work load, however, involves a great danger of overshooting. The purpose of this study was to desigil a system that makes it passible for a subject to check the overshooting. This system shows on tile H.R-meter, the amplified and filtered heart-rate signal of the subject received by the photosensor on his earlobe, puts it in the lead coinpensational circuit where it is conpared with the reference input signal(=the presfribed heart rate). The output of the lead compensational circuit works the aull meter. By means of this null meter, the subject knows whether he is overshooting the prescribed heart rate or not. He can continue the natl meter needle at the'Zero'position through the control of the speed of pedaling of the bicycle ergometer, An experimental test, made on eight men and four women in healthy condition, showed that 91. 7% of them vlaintained the stable heart rate and that the overshooting of the desired heart rate did not exceed $\pm$2BPM. According to the result of this experiment, since the heart rate feedback controller makes it possible for the subject to take the prescribed exercise based not on the work load but on the heart rate which incidentally is inexpensive, it can be made use of as the instrument for the regimen of pflysical activity by the patient with coronary artery disease.

• Journal of Electrical Engineering and Technology
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• 제3권4호
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• pp.576-583
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• 2008

In this study, we attempt to design a real-time autonomic nervous system(ANS) evaluation system usable during exercise using heart instantaneous frequency(HIF). Although heart rate variability(HRV) is considered to be a representative signal widely used ANS evaluation system, the R-peak detection process must be included to obtain an HRV signal, which involves a high sampling frequency and interpolation process. In particular, it cannot accurately evaluate the ANS using HRV signals during exercise because it is difficult to detect the R-peak of electrocardiogram(ECG) signals with exposure to many noises during exercise. Therefore, in this study, we develop the ground for a system that can analyze an ANS in real-time by using the HIF signal circumventing the problem of the HRV signal during exercise. First, we compare the HRV and HIF signals in order to prove that the HIF signal is more efficient for ANS analysis than HRV signals during exercise. Further, we performed real-time ANS analysis using HIF and confirmed that the exerciser's ANS variation experiences massive surges at points of acceleration and deceleration of the treadmill(similar to HRV).