• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.624-627
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• 2008

본 연구에서는 유비쿼터스 헬스케어를 위하여 비침습적으로 측정기 가능하고, 많은 건강정보를 포함하고 있는 심전도(electrocardiogram, ECG)와 광전용적맥파(photo plethysmograph, PPG)를 측정하고자 하였다. 이를 위하여 배터리로 구동 가능한 초소형의 심전도 및 맥파측정 시스템의 구현을 위하여 각각의 신호를 검출 및 신호처리하기 위한 회로를 구현하였다. 그리고 계측된 심전도 및 맥파신호의 무선전송을 위하여 초저전력 무선센서네트워크 기술을 적용한 무선 생체신호 전송시스템을 구현하였다. 계측된 심전도의 R파 정점과 인체의 말초부위에서 측정한 맥파의 기준점 사이의 시간인 맥파전달시간(pulse transit time, PTT)을 분석하여 심장에서 말초부위까지 혈관의 물리적 특성을 평가함으로써 동맥경화와 같은 혈관질환의 사전모니터 링이 가능한 시스템을 구현하고자 하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.421-425
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• 2006

An ubiquitous healthcare system for the home care of elderly persons was designed and implemented using wireless sensor network technology. The wireless technology for home-care purpose gives new possibilities for monitoring of vital parameter with wearable biomedical sensors, and will give the patient the freedom to be mobile and still be under continuously monitoring and thereby to better quality of patient care. Emphasis is placed on recent advances in wireless ECG system for cardiac event monitoring with particular attention to arrhythmia detection in patient. This paper presents a diagnostic system for cardiac arrhythmias from ECG data, using wireless sensor technology. The system also provides an application for recording activities, events and potentially important medical symptoms. The hardware allows data to be transmitted wirelessly from on-body sensor to the base station and then to PC/PDA. Data is also transmitted to a back-end server for analysis using wireless internet connection. Experiments were conducted using the system for activity monitoring, exercise monitoring and medical screening tests and present preliminary data and results.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.379-385
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• 2012

This paper suggests U-healthcare system for individual health management realizing the gateway, client, and Java-based network server by using the vital signal measuring system and android-based mobile platform. This study realized the vital signal measuring system based on the technology to measure the ECG, oxygen saturation, blood pressure, and respiration, etc. And all the information of measurement was transmitted to the mobile gateway using the 3-bite transmission protocol consisting of headers and data. The data transmitted to the mobile gateway was used to examine the mobile client's personal health indexes through the network server. This paper realized and tested the android-based gateway, client, and the broadcasting network server and verified their validity with simulations and actual humans. As a result, the U-healthcare system suggested was proved to be effective in managing each individual's health from short distance and long distance. And it could examine each individual's health conditions in real-time and was found to be advantageous in that it could secure the guardian's mobility.

• Journal of Biomedical Engineering Research
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• v.21 no.5
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• pp.469-475
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• 2000

신경신호의 계측은 신경계의 연구에 필수적인 도구로 최근 반도체미세전극기술 등 수십, 수백개의 채널로부터 신경신호를 기록할 수 있는 방법들이 발달함에 따라 많은 수의 뉴런으로부터 신경 신호를 측정하여 컴퓨터로 그 신호를 처리할 수 있는 시스템의 필요성은 더욱 커지고 있다. 본 연구에서는 최대 16채널의 신경신호를 실시간에 측정하여 기록하고, 저장된 신호로부터 활동전위를 검출하며, 단일 뉴런들로부터의 신호를 분류하여 spike train의 형태로 저장한 뒤 여러 뉴런들간의 상관관계를 분석하기 위한 spike train 해석이 가능한 시스템을 개발하였다. 이 시스템은 보통사양의 PC이외에는 단지 신호획득보드만을 포함하여 다채널미세전극으로부터 뉴런의 신호를 측정, 증폭하여 호스트PC로 전송하고 저장하며 이로부터 활동전위를 검출하여 단일뉴런으로부터의 spike train으로 분류할 수 있다. 또한 저장된 spike train들로부터 신경회로망을 이루는 여러뉴런 들간의 관계를 분석하여 기능들이 시스템에 포함되어있다. 개발된 시스템을 사용하여 개구리 감각 신경의 신호를 실시간에 동시기록하여 활동전위을 검출하고 특징추출방법과 principal component analysis를 이용하여 분류한 뒤 spike train 해석을 수행하였다.

• Journal of Biomedical Engineering Research
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• v.22 no.6
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• pp.503-510
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• 2001

In this paper. we describe a 32-channel bioimpedance measurement system It consists of 32 independent constant current sources of 50 kHz sinusoid. The amplitude of each current source can be adjusted using a 12-bit MDAC. After we applied a pattern of injection currents through 32 current injection electrodes. we measured induced boundary voltages using a variable-gain narrow-band instrumentation amplifier. a Phase-sensitive demodulator. and a 12-bit ADC. The system is interfaced to a PC for the control and data acquisition. We used the system to detect anomalies with different resistivity values in a saline Phantom with 290mm diameter The accuracy of the developed system was estimated as 2.42% and we found that anomalies larger than 8mm in diameter can be detected. We Plan to improve the accuracy by using a digital oscillator improved current sources by feedback control, Phase-sensitive A/D conversion. etc. to detect anomalies smaller than 1mm in diameter.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.99-106
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• 2011

The emerging of ubiquitous computing and healthcare technologies provides us a strong platform to build sustainable healthcare applications especially those that require real-time information related to personal healthcare regardless of place. We realize that system stability, reliability and data protection are also important requirements for u-healthcare services. Therefore, in this paper, we designed a u-healthcare system which can be attached to the patient's body to measure vital signals, enhanced with USN secure sensor module. Our proposed u-healthcare system is using wireless sensor modules embedded with NLM-128 algorithm. In addition, PS-LFSR technique is applied to the NLM-128 algorithm to enable faster and more efficient computation. We included some performance statistical results in term of CPU cycles spent on NLM-128 algorithm with and without the PS-LFSR optimization for performance evaluation.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.149-150
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• 2008

u-Healthcare는 유비쿼터스와 원격의료 기술을 활용한 건강관리 서비스를 말한다. 목표는 삶의 질 향상 추에 있다. 경제수준이 향상되면서 삶의 질에 대한 중요성이 대두되고 있으며, 만성질환자 및 인성 질환의 예방 및 효율적 관리는 개인 및 사회적으로도 중요한 의의를 가진다고 할 수 있다. u-Healthcare 서비스를 제공하기 위해서는 언제 어디서나 이용사의 건강상태를 진단할 수 있는 생체계측기술이 필요하기 때문에 u-Healthcare 측정 모듈의 개발은 매우 중요하다. 본 논문에서는 개발한 모바일 연동 다기능 u-Healthcare 측정 모듈을 이응하여 심전도, 체지발, 호흡수, 체온 및 운동량 측정 등의 신호를 측정하였다. 측정된 신호를 Bluetooth 기반의 transceiver를 통해 u-Healthcare Center로 전송하며, Diagnostic Monitor를 통해 신호를 분석하여 건강상태를 모니터링 할 수 있는 검증모니터를 구현하였다.

• Journal of Sensor Science and Technology
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• v.5 no.1
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• pp.43-50
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• 1996

This paper presents a manufacture of the multiple subjects biotelemetry system using custom CMOS IC fabricated $1.5{\mu}m$ n-well process technology. The implantable circuits of the system except sensor interface circuits including FM transmitter are fabricated on a single chip with the sire of $4{\times}4mm^{2}$. It is possible to assemble the implantable system in a hybrid package as small as $3{\times}3{\times}2.5cm$ by using this chip, It's main function is to enable continuous measurement simultaneously up to 7-channel physiological signals from the selected one among 8 subjects. Another features of this system are to enable continuous measurement of physiological signals, and to accomplish ON/OFF switching of an implanted battery by subject selection signal with command signal from the external circuit. If this system is coupled with another appropriate sensors in medical field, various physiological parameters such as pressure, pH and temperature are to be measured effectively in the near future.

• Korean Chemical Engineering Research
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• v.60 no.1
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• pp.86-92
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• 2022

Recently, the bio-healthcare market is enlarging worldwide due to various reasons such as the COVID-19 pandemic. Among them, biometric measurement and analysis technology are expected to bring about future technological innovation and socio-economic ripple effect. Existing systems require a large-capacity battery to drive signal processing, wireless transmission part, and an operating system in the process. However, due to the limitation of the battery capacity, it causes a spatio-temporal limitation on the use of the device. This limitation can act as a cause for the disconnection of data required for the user's health care monitoring, so it is one of the major obstacles of the health care device. In this study, we report the concept of a standalone healthcare monitoring module, which is based on both triboelectric effects and electromagnetic effects, by converting biomechanical energy into suitable electric energy. The proposed system can be operated independently without an external power source. In particular, the wireless foot pressure measurement monitoring system, which is rationally designed triboelectric sensor (TES), can recognize the user's walking habits through foot pressure measurement. By applying the triboelectric effects to the contact-separation behavior that occurs during walking, an effective foot pressure sensor was made, the performance of the sensor was verified through an electrical output signal according to the pressure, and its dynamic behavior is measured through a signal processing circuit using a capacitor. In addition, the biomechanical energy dissipated during walking is harvested as electrical energy by using the electromagnetic induction effect to be used as a power source for wireless transmission and signal processing. Therefore, the proposed system has a great potential to reduce the inconvenience of charging caused by limited battery capacity and to overcome the problem of data disconnection.

• Journal of the Korea Computer Industry Society
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• v.8 no.4
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• pp.295-302
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• 2007

Because Mobile computing uses radio transfer communications division carrying along information terminal, internet link computer and information technology of human body effectively, when, where, who, can offer role that is center enemy of available modern technology moving and reconsider new technology to physiological sounding, and reconstruct creatively. Specially, can offer possibility that can intervene in process that motive living body change before military register symptoms are developed of disease on silver society. But, much parameters data processing, standard anger of data of that is vague. same time collection of data can lift difficulty etc.. Therefore, this research excludes time limitation constituent inflecting Mobile computing, and result that analysis experiments because is proper and Mobile nerve mechanical code Tuesday that do with bioelectricity signal method select and embody system by access that become correct analysis, is becomes model of living body signal Mobile analysis device, and person could apply Mobile living body measuring device m-HSS (mobile-Hardware-software system) that measuring is possible by scientific access.