• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.157-158
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• 2008

보완대제의학의 한분야인 Color Therapy에 대한 과학적 진단을 위해, 색(color)이 인체에 미치는 영향을 정량화 하기위한 선행 기초연구로서 자연광에 포함된 가시광선의 파장이 인체에 미치는 영향을 계측하고 분석하기 위한 시스템의 설계에 대하여 연구하였다. 인체를 구성하는 세포는 세포하나하나가 살아있는 생명체로서 주변환경에 대하여 반응을 하고, 그 반응으로부터 생체신호가 발생하며, 발생된 생계신호는 인체의 다양한 구성기관에 전달되고, 전달받은 기관은 그 신호에 반응한다[4][5]. 따라서 가시광선 영역의 색이 인체에 미치는 영 향분석은 보완대체의학 발전에 중요한 요소라 할 수 있다. 본 연구를 통해 설계한 "Color therapy 진단 System"은 가시광선 중에서 특정 파장대의 빛을 발생시켜 방사하며, 방사된 빛을 조사받은 사람의 신체가 반응하는 신체 상태를 한방적인 진단요소인 "맥", "기혈전류변화"[1][2], "체온변화"등을 계측하고 이를 정량화하는 연구를 수행하였다. 본 연구의 결과는 그 동안 시회저변에서 이루어지고 있던 보완대체의학 분야의 의료행위에 대한 과학화, 정량화를 위해 필요한 중요한 시발점으로 사료된다.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.1
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• pp.51-58
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• 2013

As it is changing into aging society, rehabilitation, welfare and sports industry markets are being expanded fast. Especially, the field of vital signals interface to control welfare instruments like wheelchair, rehabilitation ones like an artificial arm and leg and general electronic ones is a new technology field in the future. Also, this technology can help not only the handicapped, the old and the weak and the rehabilitation patients but also the general public in various application field. The commercial bio-signal measurement instruments and interface systems are complicated, expensive and large-scaled. So, there are a lot of limitations for using in real life with ease. this thesis proposes a wireless transmission interface system that uses EMG(electromyogram) signals and a control module to manipulate hardware systems with portable size. We have designed a hardware module that receives the EMG signals occurring at the time of wrist movement and eliminated noises with filter and amplified the signals effectively. DSP(Digital Signal Processor) chip of TMS320F2808 which was supplied from TI company was used for converting into digital signals from measured EMG signals and digital filtering. We also have used PCA(Principal Component Analysis) technique and classified into four motions which have right, left, up and down direction. This data was transmitted by wireless module in order to display at PC monitor. As a result, the developed system obtains recognition success ratio above 85% for four different motions. If the recognition ratio will be increased with more experiments. this implemented system using EMG wrist direction signals could be used to control various hardware systems.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.1
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• pp.7-12
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• 2020

Various parameters are used to measure anesthetic depth during surgery using brain waves, and in actual clinical use, the linear analysis SEF is widely used. However, with recent studies showing that biological signals including EEG, contain nonlinear properties interest in nonlinear analysis of brain signals is increasing and parameters based on these are being developed. In this study, we are going to develop a parameter that can measure EEG using the nonlinear analysis method and extract noise that can be mixed with external electronic equipment and EEG instrumentation by comparing it with the data from the bispectrum analysis of static waves.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.751-753
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• 2011

Pulse Oximeter is used two different wavelength light sources. Two signals measured by light transmission in the body parts. SPo2 is calculated from the measured signal. These optical methods is have the light absorption properties of oxygen in the blood. SPo2 is to be called vital signs of $5^{th}$and important in modern medical. But, exist pulse oximeter was used just user for viewing the SPo2. That was a lack of used communication Monitoring function. In this paper using the Bluetooth feature on the exist pulse oximeter to communicate with the outside of the Gateway for design medical devices standards protocol IEEE 11073-10404 built-in pulse oximeter. Also user can be monitoring the U-Health Gateway through the pass SPo2 information.

• 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.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.2049-2050
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• 2011

신체 움직임이 자유롭지 못한 중증 장애인의 경우 환경제어장치를 사용하면 일상생활 보조가 가능해지므로 활용 효과가 매우 크다. 그러나 현재 국내에서 개발되는 제품은 정상인을 위한 홈오토메이션이 대부분이고, 장애인을 위한 환경제어장치의 경우에도 입력 매체에 따라 대상 사용자가 제한되는 문제점이 있었다. 따라서 본 논문에서는 기존의 입력 장치 사용에 제한이 있었던 중증 장애인들도 사용가능하도록 1-채널 생체신호(뇌파 및 얼굴 근전도) 계측 시스템 및 환경제어장치를 개발하였다. 향후 개발된 시스템은 중증 장애인의 일상생활 체험관에 구축하고 장애인의 사용성 평가를 통해 그 효과를 입증하고자 한다.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.131-132
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• 2008

본 연구에서는 백서(SD rat)을 통하여 출혈량을 제어하여, 일정만 프로토클 내에서 통합 시스템으로 생리적 데이터를 획득하고, 출혈량에 따른 생리적 변화를 관찰하는데 목적이 있나 외상 환자의 사망 원인 중에서 높이 차지하고 있는 출혈성 쇼크의 효과석인 조기 피로 및 치료 효과 예후의 객관적 판정에 도움을 주고자, 컨트롤이 용이한 백서 11마리로부터 출혈성 쇼크와 상관관계가 높다고 알려진 자율 신경계의 생체 신호 변화 특성인 심전도, 혈압, 체온, 호흡 등의 계측 방법으로 측정하고 정량적으로 분석하였다. 그 결과 출혈전과 출혈중, 출혈후 각각의 생체 신호 변화를 살펴보았으며, 호흡수와 심박수, 심박변이도의 변화를 알 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1826-1829
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• 2015

본 연구는 측정된 심전도와 광용적맥파의 박동특징점을 무결하게 검출하기 위한 프로그램 개발에 관한 것이다. 개발된 프로그램은 생체신호 계측기에서 측정된 생체신호 데이터를 자동 및 수동으로 분석하여 박동특징점의 시간 및 값 정보를 추출 및 저장하는 프로그램으로, 측정된 파형 및 검출된 특징점 위치, 인접한 특징점간 시간 간격을 시각적으로 전달할 수 있는 GUI(Graphic User Interface)를 포함한다. 개발된 프로그램은 기존 연구에서 제시된 심박동, 맥파의 박동 특징점 거출 알고리즘을 사용하여 최초 검출을 수행하고, GUI와 연동되는 컨텍스트 메뉴를 통해 오검출 또는 미검출 정보를 효율적으로 수정할 수 있도록 함으로 비전문가에 의한 쉽고 효율적인 사용이 가능하다.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.335-342
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• 2014

According to the recent trends in the growing elderly population, the chronically ill have increased. Thus the importance of the health care issues for them has emerged. In this paper, we want to implement a chronic disease management system using smart mobile devices. Proposed chronic disease management system is consisted of the biometric sensor, smart mobile devices, the patient management server, patient management DB, and patient symptoms analysis agent. The biometric sensor detects a biological information. Smart mobile devices receive the patient information from the sensor and transmit the information to the patient management server. The patient management server, patient management DB, and patient symptoms agent analysis agent analyze to process data delivered through a wireless communication network. Bio-signals includes modules of ECG, blood pressure, blood sugar and PPG. We are able to determine the current health status by monitoring measured biometric data through chronically ill health management system. We will focus on the individual service to be appropriate for a patient group in a mobile environment.

• 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.