• JSTS:Journal of Semiconductor Technology and Science
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• 제16권5호
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• pp.702-712
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• 2016

A wrist watch type wearable cardiovascular monitoring device is proposed for continuous and convenient monitoring of the patient's cardiovascular system. For comprehensive monitoring of the patient's cardiovascular system, the concurrent electrocardiogram (ECG) and arterial pulse wave (APW) sensor front-end are fabricated in $0.18{\mu}m$ CMOS technology. The ECG sensor frontend achieves 84.6-dB CMRR and $2.3-{\mu}Vrms$-input referred noise with $30-{\mu}W$ power consumption. The APW sensor front-end achieves $3.2-V/{\Omega}$ sensitivity with accurate bio-impedance measurement lesser than 1% error, consuming only $984-{\mu}W$. The ECG and APW sensor front-end is combined with power management unit, micro controller unit (MCU), display and Bluetooth transceiver so that concurrently measured ECG and APW can be transmitted into smartphone, showing patient's cardiovascular state in real time. In order to verify operation of the cardiovascular monitoring system, cardiovascular indicator is extracted from the healthy volunteer. As a result, 5.74 m/second-pulse wave velocity (PWV), 79.1 beats/minute-heart rate (HR) and positive slope of b-d peak-accelerated arterial pulse wave (AAPW) are achieved, showing the volunteer's healthy cardiovascular state.

• 센서학회지
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• 제29권3호
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• pp.162-171
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• 2020

The incidences of cardiovascular diseases are rapidly increasing worldwide. The electrocardiogram (ECG) is a test to detect and monitor heart issues via electric signals in the heart. Presently, detecting heart disease in real time is not only possible but also easy using the myDAQ data acquisition device and LabVIEW. Hence, this paper proposes a system that can acquire ECG signals in real time, as well as detect heart abnormalities, and through light-emitting diodes (LEDs) it can simultaneously reveal whether a particular waveform is in range or otherwise. The main hardware components used in the system are the myDAQ device, Vernier adapter, and ECG sensor, which are connected to ECG monitoring electrodes for data acquisition from the human body, while further processing is accomplished using the LabVIEW software. In the Results section, the proposed system is compared with some other studies based on the features detected. This system is tested on 10 randomly selected people, and the results are presented in the Simulation Results section.

• 센서학회지
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• 제23권1호
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• pp.7-14
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• 2014

Noncontact electrocardiogram (ECG) measurement using capacitive-coupled technique is a very reliable long-term noninvasive health-care remote monitoring system. It can be used continuously without interrupting the daily activities of the user and is one of the most promising developments in health-care technology. However, ECG signal is a very small electric signal. A robust system is needed to separate the clean ECG signal from noise in the measurement environment. Noise may come from many sources around the system, for example, bad contact between the sensor and body, common-mode electrical noise, movement artifacts, and triboelectric effect. Thus, in this paper, the extended Kalman filter (EKF) is applied to denoise a real-time ECG signal in capacitive-coupled sensors. The ECG signal becomes highly stable and noise-free by combining the common analog signal processing and the digital EKF in the processing step. Furthermore, to achieve ubiquitous monitoring, android-based application is developed to process the heart rate in a realtime ECG measurement.

• 센서학회지
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• 제21권4호
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• pp.241-248
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• 2012

Recently healthcare industry such as pharmaceutical, medical device and healthcare service technology is growing significantly. Mobile healthcare has attracted big attention due to IT convergence technology. Paradigm of healthcare has been changed from the 1st generation(communicable disease prevention) and the 2nd generation(treatment of disease due to extended life expectancy) to the 3rd generation(extended life expectancy due to prevention and control). In our study, we suggest the 3rd generation mobile healthcare system using Bluetooth based wearable ECG monitoring system and smart phone technology. The mobile healthcare system consists of wearable shirts with Bluetooth communication module, ECG sensor, battery, and mobile phone. The ECG data is obtained by a miniaturized sensor and the data is transferred to a mobile phone using Bluetooth communication. Then, user can monitor his/her own ECG signal on an application using Android in mobile phone. The Bluetooth communication device is used due to highly reliable data transmission property and the Bluetooth chip is embedded in every mobile phone. The wearable shirts with chest belt of Bluetooth ECG module is designed with a focus on convenience in the daily life of a wearer. The ECG signal evaluation software in Android based mobile phone is developed for the health check and the ECG signal variation is tested according to the activities of the wearer such as walking, climbing stairs, stand up and sit down, and so on.

• 한국지역사회생활과학회:학술대회논문집
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• 한국지역사회생활과학회 2011년도 추계학술대회
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• pp.118-119
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• 2011

• 한국산학기술학회논문지
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• 제10권5호
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• pp.992-999
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• 2009

심전도와 맥파를 측정함으로써 구해질 수 있는 맥파전달시간은 심혈관계의 상태를 진단하기 위한 의미 있는 지표가 된다. 그러나 맥파를 측정하는 동안 움직이거나, 측정 시에 가해지는 압력이 부정확할 경우, 잘못된 측정 결과를 얻을 수 있다. 이를 해결하기 위하여 본 논문에서는 심전도, 압력맥파 및 광전용적맥파를 동시에 측정할 수 있는 일체형 센서 시스템과 심전도를 지속적으로 측정할 수 있는 금속 전극을 개발하였으며, 실험을 통해 일체형 센서시스템 및 금속 전극의 유용성을 입증하였다.

• 한국인터넷방송통신학회논문지
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• 제10권4호
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• pp.17-22
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• 2010

최근 언제 어디서나 다양한 서비스를 제공받을 수 있는 유비쿼터스 환경이 많은 분야에서 개발되고 있으며 u-Healthcare의 관심이 급속도로 증가하고 있다. 본 논문에서는 기존의 유비쿼터스 센서네트워크 환경에서 ECG 센서와 Zigbee 통신모듈로 BAN(Body Area Network)를 이용하여 사용자의 생체신호를 측정하였다, 측정된 생체신호를 3G(WCDMA) 통신을 이용하여 전문가나 의사가 모니터링 할 수 있는 시스템을 구현하였다. 또한, 환자에게 응급상황 발생시 스마트폰의 GPS모듈을 이용한 위치 검색까지 설계하였다. 센서 모듈간 데이터 필드를 정의하고 설계된 시스템 구조를 기반으로, 최근 스마트폰 중에 각광받고 있는 iPhone 플랫폼에서 구현하였다.

• 센서학회지
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• 제15권6호
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• pp.417-424
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• 2006

An ubiquitous healthcare monitoring system for elderly person at home was designed for continuous healthy monitoring of elderly person or patients. Human vital signals, such as ECG and body temperature, were monitored by terminal PC or PDA via ECG and temperature sensor nodes on the patient's body. From the ECG data, the heart rate, tachycardia, bradycardia and arrhythmia were diagnosed on the terminal PC or PDA to assist doctor's or nurse's aid or patient itself to monitor the patient's condition and give medical examination. Artificial judgement support system was designed in server computer and the system support a doctor or nurser for management or treatment of the patient. This system can be applied to vital signal monitoring system for solitude elderly person at self house or home health care service part. And this ubiquitous healthcare system can reduce the medical expenses in coming aging or aged society.

• 한국염색가공학회지
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• 제23권3호
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• pp.219-226
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• 2011

Recently, study of functional clothing for vital sensing is focused on improving conductivity and decreasing resistance, in order to enhance the electrocardiogram(ECG) sensing accuracy and obtained stable environmental durability on operation condition. In this study, four ECG fabrics that having different componnt yarns and weaving structures were produced to analyze their environmental durabilities and electric properties under general operation conditions including different physical and chemical stimulation. For outstanding electric properties and physical properties, the optimized ECG sensing fabric should consist of a fabric of 2 up 3 down twill structure containing 210de silver-coated conductive yarns and polyester yarn in warp and weft directions respectively. The selected fabric has $0.11{\Omega}$ which is relative lower resistance than otherwisely produced fabrics under ECG measurement condition. And it has 7% stable resistance changes under 25% strain and repeated strain.

• 센서학회지
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• 제24권1호
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• pp.69-77
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• 2015

The Microsoft Kinect is a motion sensing input device which is widely used for many motion recognition applications such as fitness, sports, and rehabilitation. Until now, most of remote rehabilitation systems with the Microsoft Kinect have allowed the user or patient to do rehabilitation or fitness by following the motion of a video screen. However in this paper we propose a smart remote rehabilitation system with the Microsoft Kinect motion sensor and a wearable ECG sensor which can allow patients to offer monitoring of the individual's performance and personalized feedback on rehabilitation exercises. The proposed noble smart remote rehabilitation is able to monitor and measure the state of the patient's condition during rehabilitation exercise, and transmits it to the prescriber. This system can give feedback to a prescriber, a doctor and a patient for improving and recovering motor performance. Thus, the efficient rehabilitation training service can be provided to patient in response to changes of patient's condition during exercise.