• Title/Summary/Keyword: 생체신호계측기술

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An Analysis on Technology and Patent of Physiological Signal Measurement Industry in Major Countries (주요국 생체신호계측기기산업의 기술, 특허 및 정책 분석)

  • 이충희;김상우;이병민
    • Journal of Korea Technology Innovation Society
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    • v.6 no.4
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    • pp.411-428
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    • 2003
  • We have examined and analyzed the status of policy, R&D investments, patents and market share of physiological signal measurement technologies for major countries including Korea, the United States, European Union and Japan. Korea is generally inferior to the others in terms of priority of industrial policy, R&D investment, number of patents, technological level and world market share. However, Korea could recover competitiveness, with intensive government supports for this technology.

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의용생체공학(2)

  • Hong, Seung-Hong
    • Journal of the Korean Society for Precision Engineering
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    • v.2 no.1
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    • pp.33-40
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    • 1985
  • 의료의 고도화를 위해서는 각종 생체현상의 계측기술이 중요시된다. 그림1과 같은 생체현상의 계측과 감시를 위한 계통도에서와 같이 생체에서 얻어지는 정보를 바르게 계측하여 평가하기 위해서는 앞에서 기술한 생체의 물성에 관한 지식이 필요하다. 다음에 전극, 변환기등의 각종 새로운 센서의 개발이 중요하며, 그리고서 얻어지는 데이터를 증폭하여 전송하는 기술과 데이터를 처리하여 표시하거나 기록하는 방법도 중요하다. 지금까지는 측정이 불가능하다고 생각되어진 것들을 가능하게 하기 위한 새로운 센서의 개발과 정성적으로만 측정되었던 것들까지도 정량적으로 측정되는 새로운 계측시스템이 고안되어 비관혈계측의 경향으로 연구되고 있다. 이들 센서들 중에는 생체의 활동전위를 검출하는 전극과, 활동전위 이외의 일반생체현상을 변환기(transducer)를 이용하여 전기신호로 변환하여 검출하는 센서가 있다.

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Biopotential Signal Measurement, Processing and Analysis (생체전기신호의 측정, 처리 및 해석)

  • 우응제
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.4
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    • pp.12-18
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    • 2004
  • 본 글에서는 인체로부터 생체전기신호를 측정하고 처리 및 해석하는 기술을 소개한다. 일반적인 계측 시스템을 구성하는 필수적인 네 가지 요소는 측정대상, 센서부, 신호처리부, 그리고 출력부이다. 생체전기신호의 측정에서 측정대상은 인체를 포함하는 생명체이다. 경우에 따라서는 생명체로부터 떼어 낸 특정 부위가 측정대상이 될 수도 있으나 본 글에서는 살아 있는 인체를 측정대상으로 설정하기로 한다. 또한 인체로부터 방사되는 에너지를 측정하는 비접촉 방식은 다루지 않고, 측정 부위를 인체의 내부 또는 표면으로 제한한다. 즉, 센서를 측정 부위에 직접 부착하는 접촉형 인체-센서 인터페이스 방법을 사용하는 경우만을 다루기로 한다.(중략)

Design and Implementation of Medical Information System using QR Code (QR 코드를 이용한 의료정보 시스템 설계 및 구현)

  • Lee, Sung-Gwon;Jeong, Chang-Won;Joo, Su-Chong
    • Journal of Internet Computing and Services
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    • v.16 no.2
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    • pp.109-115
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    • 2015
  • The new medical device technologies for bio-signal information and medical information which developed in various forms have been increasing. Information gathering techniques and the increasing of the bio-signal information device are being used as the main information of the medical service in everyday life. Hence, there is increasing in utilization of the various bio-signals, but it has a problem that does not account for security reasons. Furthermore, the medical image information and bio-signal of the patient in medical field is generated by the individual device, that make the situation cannot be managed and integrated. In order to solve that problem, in this paper we integrated the QR code signal associated with the medial image information including the finding of the doctor and the bio-signal information. bio-signal. System implementation environment for medical imaging devices and bio-signal acquisition was configured through bio-signal measurement, smart device and PC. For the ROI extraction of bio-signal and the receiving of image information that transfer from the medical equipment or bio-signal measurement, .NET Framework was used to operate the QR server module on Window Server 2008 operating system. The main function of the QR server module is to parse the DICOM file generated from the medical imaging device and extract the identified ROI information to store and manage in the database. Additionally, EMR, patient health information such as OCS, extracted ROI information needed for basic information and emergency situation is managed by QR code. QR code and ROI management and the bio-signal information file also store and manage depending on the size of receiving the bio-singnal information case with a PID (patient identification) to be used by the bio-signal device. If the receiving of information is not less than the maximum size to be converted into a QR code, the QR code and the URL information can access the bio-signal information through the server. Likewise, .Net Framework is installed to provide the information in the form of the QR code, so the client can check and find the relevant information through PC and android-based smart device. Finally, the existing medical imaging information, bio-signal information and the health information of the patient are integrated over the result of executing the application service in order to provide a medical information service which is suitable in medical field.

Implemetation and Estimation of the Wearable PTT Monitoring System Using Wireless Sensor Network (무선 센서네트워크를 이용한 착용형 PTT 측정시스템의 구현 및 평가)

  • Kim, Jin-Ho;Kang, Hag-Seong;Jeong, Do-Un
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.137-140
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    • 2010
  • 본 연구에서는 일상생활에서 보다 편리하게 건강모니터링을 수행하기 위해 신체에 착용 가능한 심전도 및 맥파 계측 시스템을 구현하고자 하였다. 이를 위하여 배터리로 구동 가능한 초소형의 심전도 및 맥파 측정 시스템을 구현하였으며, 계측된 생체신호의 무선전송을 위해 초저전력 무선 센서네트워크 기술을 적용한 무선 생체신호 전송시스템을 구현하였다. 무선으로 전송된 심전도 및 맥파 신호는 잡음 제거 및 심박동을 검출하기 위하여 전처리과정과 적응 가변형 문턱치를 적용하였으며, 검출된 심박동으로부터 동맥순환계의 긴장도 및 유순도의 변화를 반영하는 맥파전달시간(pulse transit time, PTT)을 계산하였다. 구현된 무선 맥파전달시간 계측시스템과 기존 상용시스템의 비교 평가를 수행함으로써 구현된 시스템의 유용성을 평가하고자 하였으며, 혈압 및 맥파전달시간의 동시계측을 통해 자세 변화에 따른 혈압의 변화 및 맥파전달시간의 변화양상을 관찰함으로써 혈압과 맥파전달시간의 관계를 추정하고자 하였다.

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WSN based ECG and Body temperature Monitoring System (센서 네트워크 기반의 심전도 및 체온 모니터링 시스템)

  • Lee, Dae-Seok;Bhardwaj, Sachin;Chung, Wan-Young
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2006.06a
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    • pp.113-116
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    • 2006
  • 최근 무선센서네트워크 기술을 이용한 다양한 시도가 이루어지고 있으며 특히 헬스케어분에서 활발히 연구되어지고 있다. 본 연구에서는 무선센서노드를 이용하여 계측된 생체신호를 바탕으로 환자의 상태 및 진단을 위한 기초자료를 활용하기 위한 시스템을 구현하였다. 생체신호로 ECG(electrocardiogram)와 체온 파라미터를 사용하였으며 ECG신호의 QRS특성점을 축출하기 위해 Pan&Tomkins에 개발된 알고리즘을 사용하였다. 또한 효율적인 모니터링을 위해 비정상적인 ECG신호에 대한 알림기능을 구현하였으며 이러한 감시기능은 상시 모니터링을 하지 않고도 환자의 상태를 알 수 있게 하였다. 본 연구에서 구현된 이러한 시스템기술은 국내의 고령화 문제로 발생되는 의료비용을 크게 감소시킬 수 있을 것으로 예상된다.

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Embodiment of living body measure system modeling for Rehalibitation treatment of positive simulation for HRV algorithm analysis interface of Mobile base (모바일 기반의 HRV 알고리즘 분석 인터페이스에 대한 실증적 시뮬레이션의 재활치료용 생체계측 시스템 모델링의 구현)

  • Kim, Whi-Young
    • Journal of the Korea Computer Industry Society
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    • v.7 no.4
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    • pp.437-446
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    • 2006
  • Mobilecomputer offers more fundamental role than role assistance enemy of modern technology equipment and new Information <중략> These main weakness puts in structural relation between elements that compose system. Therefore, dynamics research that time urea of systematic adjustment has selected method code Tuesday nerve dynamics enemy who groping of approach that become analysis point is proper and do with recycling bioelectricity signal. Nature model of do living body signal digital analysis chapter as research result could be developed and scientific foundation groping could apply HSS (Hardware-software system) by rehalibitation purpose. Special quality that is done radish form Tuesday of bioelectricity signal formation furthermore studied, and by the result, fundamental process of bodysignal in do structure circuit form of analog - digital water supply height modelling do can.

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A Study on the Implementation of a Portable Healthcare System using Zigbee (Zigbee를 이용한 휴대형 헬스케어 시스템 구현에 관한 연구)

  • Kang, Sung-In;Kim, Gwan-Hyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.9
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    • pp.1793-1798
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    • 2007
  • Recently there are some trends to construct smart home system infrastructure depending upon the development of Information and Communication Technology. Also requirements of the Ubiquitous Healthcare Systems at home which can monitor the status of health continuously are increased rapidly comparing with hospitals. Healthcare service can be divided into two categories. The first one is Alarm Service that can be used for the emergency status and the other one is Remote Support Service which can monitor the patient including home environments and give those diagnosis information to medical office or to his family. Generally wired networks and fixed healthcare measuring system have some limits to transmit reliable realtime based information for both categories described above comparing with portable monitoring system. Getting over the inefficiency we will design and implement portable healthcare system under the wireless Zigbee network environments.

Development of biological signal optical transmission system (생체신호처리용 광전송시스템 개발)

  • 박종대;손진우;서희돈
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.9
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    • pp.1933-1940
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    • 1997
  • The development of CMOS IC chip and external system with optical transmission sytem is proposed in this paper, which deal with 4 subject 4 channel biological signals, receive and transmit biological signals to the external system using LED and infrared light of photodiode. This system decreases the dependency of power supply voltage to the COMS IC chip. A newenforce synchronization technique using infrared bi-directional communication has ben proposed. The telemetner IC with the size of $5.1{\times}5.1mm^2$ has the followingfunctions:receiving of command signal, initialization of internal state of all functional blocks, decoding of subject selection signal, time division multiplexing of 4-channel modulated biological signals, transmission of modulated signals to external system, and auto power down control. To confirm the total telemetry system, electrocardogram is transmitted and received to the external system using optical link.

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BioPebble: Stone-type physiological sensing device Supporting personalized physiological signal analysis (BioPebble: 개인화된 해석을 지원하는 돌 타입 휴대용 생체신호 측정센서)

  • Choi, Ah-Young;Park, Go-Eun;Woo, Woon-Tack
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.13-18
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    • 2008
  • In these days, wearable and mobile physiological sensing devices have been studied according to the increasing interest on the healthy and wellbeing life. However, these sensing devices display just the sensing results, such as heart rate, skin temperature, and its daily records. In this work, we propose the novel type of mobile physiological sensing device which deliver the user comfortable grabbing feeling. In addition, we indicate the personalized physiological signal analysis result which be concluded by the different analysis results according to the person to person. In order to verify this sensing device, we collect the data set from 4 different users during a week and measure the physiological signal such as heart rate, hand temperature, and skin conductance. And we observe the result how the analysis results shows the difference between the users. We expect that this work can be applied in the various health care applications in the near future.

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