• 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.

• International Journal of Control, Automation, and Systems
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• 제5권6호
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• pp.701-706
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• 2007

The measurement accuracy for heart rate or $SpO_2$ using photoplethysmography (PPG) is influenced by how well the noise from motion artifacts and other sources can be removed. Eliminating the motion artifacts is particularly difficult since its frequency band overlaps that of the basic PPG signal. Therefore, we propose the Periodic Moving Average Filter (PMAF) to remove motion artifacts. The PMAF is based on the quasi-periodicity of the PPG signals. After segmenting the PPG signal on periodic boundaries, we average the $m^{th}$ samples of each period. As a result, we remove the motion artifacts well without the deterioration of the characteristic point.

• 한국정보통신학회논문지
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• 제17권3호
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• pp.691-697
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• 2013

최근 IT+BT 융합 기술로 건강관리 및 응급의료 등을 위하여 U-헬스케어 단말 장치가 개발되고 상품화가 되고 있다. 이 단말기에서 측정하는 생체 신호들은 심전도, 체온, 산소포화도, 심박수, 호흡 등이며, 특히 이들 신호 중에 광용적맥파(PPG) 신호는 산소포화도와 심박수, 말초혈관 탄성도 등을 측정함에 있어 매우 중요한 신호이다. 그러나 이 PPG 신호는 환자 또는 사용자의 움직임에 따라 발생하는 동잡음의 영향에 의해 그 정밀도가 저하된다. 따라서 본 연구에서는 이러한 동잡음을 제거하기 위한 광변조 기법과 ICA 기법을 제안한다. 제안된 기법의 성능을 분석하기 위해 다양한 잡음을 인위적으로 가하여 실험하였으며, 실험 결과를 분석한 결과에서 제안된 기법이 기존의 적응 필터법 보다 우수한 성능을 보였다.

• 한국컴퓨터정보학회논문지
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• 제19권2호
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• pp.101-107
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• 2014

본 연구에서는 PPG 신호에 포함되어 있는 동잡음을 제거하기위해 사용되는 가속도 센서를 대체하기 위한 새로운 PPG 센서와 그 신호처리 기법을 제안하며, 제안된 방법은 청색광으로부터 추정된 동잡음을 기반으로 하여 광용적 맥파의 동잡음을 제거하는 것이다. 제안된 방법의 성능을 평가하기위해 청색광 LED와 적색광 LED, 포토센서를 이용하여 센서 프로브 설계하고 제작하였고, 제작된 센서 프로브와 적응필터를 이용하여 동잡음 제거 처리를 하였다. 실험의 결과에서는 제안된 센서와 신호처리 방법이 동잡음이 발생하더라도 신호 복원이 잘되었으며, 신호 대잡음비도 기존의 이동평균필터 보다 4.5배 이상 향상되었다. 이 실험의 결과로부터 제안된 방법이 저가의 헬스케어 단말기 설계에 적용될 수 있을 것이다.

• Journal of information and communication convergence engineering
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• 제9권2호
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• pp.220-223
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• 2011

Respiration signal of the vital signs is an important parameter in clinical parts. To extract the respiration signal from PPG signal for mobile healthcare system is difficult because the bands of the motion artifacts and respiration in the frequency domain are overlapped. This study to improve this problem suggested a respiration extraction method using the independent component analysis and evaluated its performances. In results of evaluation, the ICA method showed better performance than LPF suggested recently.

• 전기학회논문지
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• 제57권6호
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• pp.1087-1094
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• 한국전자통신학회논문지
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• 제9권4호
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• pp.499-508
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• 2014

본 논문에서는 생체신호인 PPG, GSR 신호의 변화에 따라 구동되는 LED 감성조명 시스템을 구현하였다. 개발된 GSR 및 PPG 센서모듈로부터 인체의 생체신호를 측정하고, 측정된 생체신호를 이용하여 MCU에서 제안된 각성 이완 판별맵에 근거하여 피검자의 각성 또는 이완 상태를 판단한다. 피검자의 상태에 대응하는 LED 조명색상의 변화를 주어, 피검자가 안정 상태의 감정에 도달할 수 있도록 하는 감성조명 시스템을 개발하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.2010-2012
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• 대한인간공학회지
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• 제27권4호
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• pp.95-101
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• 2008

This research is to develop PPG filtering method for respiration measurement in U-Health Care system. Respiration rate was determined by filtering PPG and analyzing its spectrum. Optimal filter of PPG has been selected to get respiration by testing 120 sets of experiment data using 700 filtering cases. As a result, 2nd order Bessel-filter that used band-pass cutoff frequency at 0.175~0.4Hz with second order was good at developing respiration signal. Respiration signal in time domain could be continuously analyzed by converting frequency domain using spectrum analysis. 24 seconds has been found to be optimal time duration of collecting PPG data for determining respiration. Therefore, this study was successful of getting not only heart activity but also respiration by only PPG. Minimal invasive measurement obtaining multi-bio information by one sensor can be expected to apply to U-Health Care and human computer interaction.

• 전기학회논문지
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• 제67권6호
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• pp.794-798
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• 2018

There is a growing need for a care system that can continuously monitor, manage and effectively relieve stress for modern people. In recent years, mobile healthcare devices capable of measuring heart rate have become popular, and many stress monitoring techniques using heart rate variability analysis have been actively proposed and commercialized. In addition, respiratory biofeedback methods are used to provide stress relieving services in environments using mobile healthcare devices. In this case, breathing information should be measured well to assess whether the user is doing well in biofeedback training. In this study, we extracted the heart beat interval signal from the PPG and used the oscillator based notch filter based on the IIR band pass filter to track the strongest frequency in the heart beat interval signal. The respiration signal was then estimated by filtering the heart beat interval signal with this frequency as the center frequency. Experimental results showed that the number of breathing could be measured accurately when the subject was guided to take a deep breath. Also, in the timeing measurement of inspiration and expiration, a time delay of about 1 second occurred. It is expected that this will provide a respiratory biofeedback service that can assess whether or not breathing exercise are performed well.