• 한국컴퓨터정보학회논문지
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• 제17권4호
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• pp.75-82
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• 2012

PPG 신호는 심장의 박동에 동기된 유사 주기 신호이다. 본 논문에서는 PPG 신호의 유사주기성을 이용한 주기적 이동평균필터 방법을 제안한다. 이 필터링 방법은 PPG 신호를 주기적으로 분리하여 각 주기 신호의 같은 순번에 있는 샘플들끼리 평균을 취하는 방법이다. 연속된 PPG 신호의 주기 중에 동잡음이 혼입되었다면 주기를 기준으로 PPG 신호를 분리한 후, 각 주기의 샘플수를 조정하여 같은 샘플수를 가지게 만든다. 이 주기들을 2차원으로 배열한 후 현재 주기부터 이전 각 주기의 샘플끼리 평균을 취함으로써 훼손 없이 동잡음을 제거할 수 있었다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2001년도 추계학술대회 논문집
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• pp.169-172
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• 2001

There are many people who suffer from simulation sickness when immersing in virtual reality. In this study, we analyzed two photoplethysmogram(PPG) parameters - a second derivative parameter and power spectral density ratios - in order to relate PPG parameters with simulation sickness. 36 young, healthy subjects were participated in the experiment, and each subject was equipped with a PPG electrode during his or her immersion. Simulation sickness section was defined as a 7 - second section which starts from the point where a subject reported simulation sickness, and normal section as a same-length section where no physical stimuli was presented to him or her. We compared the PPG parameters of the simulation sickness sections with the normal sections, - d/a ratio is believed to have lower value during vasodilation and higher value during vasoconstriction, however, we could not find much difference in the parameter between normal and simulation sickness sections. We also compared 1 to 10Hz power spectral density ratios in normal sections with in simulation sickness section, and found that 6 density ratios among them have different value. Therefore, the density ratios might be utilized as parameters to detect simulation sickness of subjects.

• 디지털콘텐츠학회 논문지
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• 제19권1호
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• pp.103-112
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• 2018

본 논문에서는 감정에 따라 변화하는 혈류량을 측정하는 PPG 센서를 사용하여 감정을 인식하는 방법을 제안한다. 기존의 PPG 신호로부터 전력스펙트럼밀도(PSD; Power Spectrum Density)를 통해 주파수 영역에서 긍정적인 감정과 부정적인 감정을 판단하는 방법을 활용한다. 제임스 러셀의 이차원 원형 모델에 기반을 두어 감정을 기쁨, 슬픔, 짜증, 평온으로 분류하여 주파수 영역에 따른 에너지의 크기와의 연관성을 살펴본다. 본 연구는 웨어러블 디바이스에서 사용되는 동일한 PPG 센서를 사용하여 상위 네 종류의 감정을 영상 실험을 통해 주파수 영역에서 측정하였다는 것에 의의가 있다. 설문 조사를 통해 정확도와 개인에 따른 몰입 정도와 감정 변화 및 영상에 대한 바이오피드백을 수집하였다. 제안하는 방법은 앞으로 PPG 센서를 사용하는 상용화된 웨어러블 디바이스와 기존에 사용하는 스마트폰의 상황정보와 융합되어 모바일 어플리케이션 예측 서비스 등 다양한 개발이 될 것으로 기대된다.

• 설비공학논문집
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• 제27권11호
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• pp.596-602
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• 2015

In this study, experiments using bioelectronic signals and questionnaire surveys were carried out in learning conditions when temperatures changed from low- and high-uncomfortable to comfortable. As a result, the stress factor Photoplethysmography (PPG) decreased, while the Root Mean Square of Standard Deviation (RMSSD) of PPG increased when the indoor temperature was changed from low- or high-uncomfortable to comfortable. Additionally, the absolute power of the ${\alpha}$-wave in the brain increased. According to the analysis of the association between the questionnaire and bioelectronic signals, the standard deviation of the stress factor as measured by pulse was closely related to the result of the thermal sensation questionnaire. In addition, it was found that the concentration on studying improved under comfortable temperatures when compared to uncomfortable temperatures.

• 한국멀티미디어학회논문지
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• 제23권11호
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• pp.1388-1395
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• 2020

Daily monitoring of the heart rate can facilitate detection of heart-related diseases in their early stages. Therefore, providing an easy-to-use and noninvasive heart rate monitoring system has been a very popular research topic in the field of healthcare. One of good candidate methods is to use commonly available cameras and extract information that can help to estimate heart rate from a human face. Generally, such information can be retrieved using two different approaches: photoplethysmography (PPG) and ballistocardiography (BCG). PPG exploits slight color changes caused by blood volume variations during heartbeats; thus, it tends to be vulnerable to unstable lighting conditions. BCG exploits subtle head motions caused by pumped blood travelling through the carotid artery during heartbeats; thus, it is vulnerable to the voluntary head movements that are not related to heartbeats. Nevertheless, most related works use either to estimate the heart rate. In this paper, we propose to combine two approaches to be robust to challenging conditions. Specifically, we explore possible ways to combine raw signals obtained from two approaches and verify that the proposed combination shows better accuracies under challenging conditions, such as voluntary head movements and ambient lighting changes.

• Transactions on Electrical and Electronic Materials
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• 제9권5호
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• pp.213-219
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• 2008

Pulse waves continuously change with respect to the characteristics and status of the cardiovascular system and in relation to the blood pressure (BP) and the pulse wave velocity (PWV). Monitoring the vascular condition by analyzing the variations in pulse waveforms has been used to diagnose vascular disorders and in drug treatment of arteriosclerosis and peripheral circulatory obstruction. In this paper, we investigated the vascular characteristic index with regard to the BP and classified by pulse wave signals. The pressure pulse wave and photoplethysmography (PPG) were measured simultaneously while subjects exercised, producing changes in the BP, to analyze the variation in the vascular characteristic index. We investigated the correlation between the BP and vascular characteristic index with regard to the classification methods of the pulse wave. The reflection index (RI) and vascular stiffness index were correlated with the diastolic BP, but no correlation was found between these parameters and the systolic BP. These results suggest the possibility of estimating BP through simple measurements of pulse waves.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2009년도 추계학술대회
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• pp.232-235
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• 2009

본 연구에서는 실시간으로 변화하는 사용자의 감성을 평가하여 각성 또는 이완으로 분류된 시선 정보 이미지를 저장하는 시스템을 구현하고자 한다. 사용자의 감성을 분류하기 위한 요소는 Larson과 Diner 가 정의한 2 차원 감성모델에서 각성, 이완 요소를 사용한다. 감성 상태를 분류하기 위하여 자율 신경계 중 착용과 휴대가 간편한 PPG 센서를 사용하며, PPG 를 분석하기 위한 변수로는 진폭의 양과 초당 Peak 의 빈도수를 사용한다. 머리에 고정할 수 있는 캠을 사용하여 사용자가 바라보는 시선 정보를 획득하고, 클라이언트 컴퓨터는 획득된 시선 정보를 UDP 통신을 사용해 서버 컴퓨터로 전송하는 시스템이다. 320(pixel)*240(pixel)*32(bit)인 영상 데이터를 1/30 로 압축하여 전송하며, 각성과 이완으로 분류되는 시점의 영상을 블록화하여 JPEG 이미지로 저장한다. 본 시스템은 실시간으로 변화되는 사용자의 감성 상태를 파악하여 이미지를 전송하고 서버 컴퓨터에 저장함으로써 당시 사용자가 느꼈던 감성들에 대해 피드백을 주고자 하는데 의의가 있다.

• Journal of information and communication convergence engineering
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• 제10권1호
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• pp.91-95
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• 2012

The photoplethysmography (PPG) signal measured from a mobile healthcare device contains various motion artifacts occurring from a patient’s movements. Recently, to reject the motion artifacts, the method of using an acceleration sensor was suggested, but such sensors are very expensive. Therefore, this study deals with a novel sensor device to replace the acceleration sensor, and evaluated the performance of the proposed sensor experimentally. In the results of the experiments, it is shown that the proposed sensor device can reconstruct the PPG signal despite the occurrence of motion artifacts, and also that the variation rate in heart rate analysis was 1.22%. According to the experimental results, the proposed method can be applied to design a low-cost device.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.77-79
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• 2007

The purpose of this study was to suggest a new detection method for early diagnosing diabetic neuropathic foot by obtaining a ratio of toe to figer blood flow using photoplethysmography(PPG). Nerve conduction velocity (NCV) has been routinely used for diagnosing neuropathic foot, but it applies strong electric stimulus to peripheries resulting in stress and pain. The blood flow ratio of diabetic neuropathy(0.96${\pm}$0.20) was significantly higher in comoarison to normal control group(0.46${\pm}$0.15, left : p<0.05, right : p<0.05) and non-neuropathy diabetic group(0.49${\pm}$0.21, left: p<0.05. right: p<0.05).

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.234-243
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• 2017

With the development of smartphone technologies enable photoplethysmogram (PPG) acquisition by camera and heart rate (HR) measurement. This papers presents improved algorithm to extract HR from PPG signal recorded by smartphone camera and to develop real-time PPG signal processing Android application. 400 video samples recorded by Samsung smartphone camera are imported as input data for further processing and evaluating algorithm on MATLAB. An optimized algorithm is developed and tested on Android platform with different kind of Samsung smartphones. To assess algorithm's performance, medical device Beurer BC08 is used as reference. According to related works, accuracy parameters includes 90% number of samples that has relative errors less than 5%, Person correlation (r) more than 0.9, and standard estimated error (SEE) less than 5 beats-per-minutes (bpm).