• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.11
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• pp.2057-2061
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• 2008

Individual heartbeat has specific character by a condition of heart, structure, age, and so forth. On this paper, We propose that individual verification method using specific character of heartbeat. This character are obtained by measure PPG(Photo Plethysmogram) using LD and PD.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.438-440
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• 2009

사람의 심박동은 심장 상태와 구조, 나이 등의 여러 요소에 의하여 고유한 특성을 갖고, 이러한 특성을 이용하여 개인 인증에 심박동을 적용할 수 있다. 본 논문에서는 기존의 심전도(ECG, electrocardiogram) 방법을 대신하여 빛을 이용한 광전용적맥파(PPG, Photo Plethysmogram)를 측정, 신호를 분석하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.549-552
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• 2009

본 논문에서는 심폐기능에 이상이 있는 중환자의 지속적인 감시와 진단을 위한 방법으로 Swan-Ganz Catheter를 체내에 삽입하여 심박 출량과 혼합정맥혈 산소포화도를 기존 장비들보다 정밀하게 측정할 수 있는 모듈을 개발하고자 한다. Swan-Ganz Catheter에는 두 개의 온도센서와 한개의 압력센서를 포함하고 있으며 이를 통해 입력되는 센서 값을 세밀하게 수집하고 이를 기반으로 일회 심박 출량, 전신 및 폐혈관저항, 산소소모량 등을 계산하여 환자의 상태를 보다 정확하게 진단 및 치료가 가능하게 한다.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.43-51
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• 2013

Classification result by comprehensive analysis of rhythm section and heartbeat unit makes a reliable diagnosis of heart disease possible. In this paper, based on feature-points of ECG signals, rhythm analysis for constant section and heartbeat unit is conducted using rule-based classification and SVM-based classification respectively. Rhythm types are classified using a rule base deduced from clinical materials for features of rhythm section in rule-based classification, and monotonic rhythm or major abnormality heartbeats are classified using multiple SVMs trained previously for features of heartbeat unit in SVM-based classification. Experimental results for the MIT-BIH arrhythmia database show classification ratios of 68.52% by rule-based method alone and 87.04% by fusion method of rule-based and SVM-based for 11 rhythm types. The proposed fusion method is improved by about 19% through misclassification improvement for monotonic and arrangement rhythms by SVM-based method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1431-1437
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• 2016

In mobile healthcare device, when to measure the heart rate by using the PPG signal, its performance is reduced according to the motion artifacts that is the movement of user. This is because the frequency range of motion (0.01-10 Hz) and that of PPG signals overlap. Also, the motion artifacts cannot be rectified by general filters. To solve the problem, this paper proposes a method using filter banks and independent component analysis (ICA). To evaluate the performance of the proposed method, we were artificially applied various movements and compared heart rate errors of the moving average filter and ICA. In the experimental results, heart rate error of the proposed method showed very low than moving average filter and ICA. In this way, it is possible to measure stable heart rate if the proposed method is applied to the healthcare terminal design.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.93-102
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• 2019

As interest in wellness grows, There is a lot of research about monitoring individual health using wearable devices. Accordingly, a variety of methods have been studied to distinguish exercise from daily activities using wearable devices. Most of these existing studies are machine learning methods. However, there are problems with over-fitting on individual person's learning, data discontinuously recognition by independent segmenting and fake activity. This paper suggests a detection method for exercise activity based on the physiological response principle of heart rate up and down during exercise. This proposed method calculates activity intensity and heart rate from triaxial and photoplethysmography sensor to determine a heart rate recovery, then detects exercise by estimating activity intensity or detecting a heart rate rising state. Experimental results show that our proposed algorithm has 98.64% of averaged accuracy, 98.05% of averaged precision and 98.62% of averaged recall.

• Korea Information Processing Society Review
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• v.21 no.5
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• pp.73-81
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• 2014

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.971-973
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• 2022

본 논문은 수액 치료 부작용 방지와 환자의 안전한 병원 생활환경을 조성하는 "장애인의 안전한 병원 생활을 위한 스마트 링거 폴대"를 제안한다. 본 논문이 제안하는 주요 특징은 다음과 같다. 첫째, 무게 센서로 수액의 잔량이나 주입 속도를 측정하고 조절한다. 사용자는 앱을 통해 수액에 대한 정보를 확인할 수 있다. 둘째, 자이로 센서로 측정한 팔의 높이와 적당하게 자동으로 폴대의 높낮이를 조절한다. 셋째, 앱과 조이스틱으로 링거 폴대를 상하좌우 움직이며 이동 경로에 장애물 존재 시 알람을 울리게 한다. 넷째, 심박수 센서를 통해 환자의 평균 심박수를 측정하고 심박수 값이 정상 범위를 벗어나는 경우 아로마, 백색소음, 수면유도, 심리상담을 통해 심리안정 서비스를 제공한다. 제안된 시스템은 기존 병원에서 수액을 투입하는 방식에 IoT 기술을 적용하여 수액 치료 부작용을 예방하며, 시각장애인 환자의 거동 도움 및 불안감 해소를 위한 편의 서비스를 제공하는 것을 목표로 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.37-39
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• 2022

As the COVID-19 pandemic hits the world, the Tokyo Olympics in 2021 will be held behind closed doors. Some broadcasters showed the heart rate of the players in real time using image processing-based non-contact measurement to convey the vividness of the scene on TV. However, since the non-contact model uses changes in the skin color of the players' faces according to blood circulation as a parameter, there is a possibility that errors may occur due to interference factors such as natural light or glasses. Therefore, in this paper, the non-contact heart rate measurement model and the contact heart rate measurement model are tested in an environment free from interference and their accuracy is analyzed.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.45-50
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• 2016

This paper describes the development of smart sticks as walking assistance for elderly people that incorporate motion sensing, hear-beat sensing, data processing, and communication functions. Our sticks communicate with users' smart phones and upon a detection of falling-off, an alarm is generated and propagated to multiple guardians registered in advance. In addition, the sticks provide smart healthcare functionalities for elderly people thus suggest an health platform that is empowered by various health-related informations. The heartbeat sensors and motion sensors mounted on the sticks enable various additional functions. Our smart sticks are designed to function as stable walking assistance as well as to support elderly people by providing useful services in the convergence with information technologies.