• Journal of Information Processing Systems
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• 제7권4호
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• pp.717-732
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• 2011

Classification in biomedical applications is an important task that predicts or classifies an outcome based on a given set of input variables such as diagnostic tests or the symptoms of a patient. Traditionally the classification algorithms would have to digest a stationary set of historical data in order to train up a decision-tree model and the learned model could then be used for testing new samples. However, a new breed of classification called stream-based classification can handle continuous data streams, which are ever evolving, unbound, and unstructured, for instance--biosignal live feeds. These emerging algorithms can potentially be used for real-time classification over biosignal data streams like EEG and ECG, etc. This paper presents a pioneer effort that studies the feasibility of classification algorithms for analyzing biosignals in the forms of infinite data streams. First, a performance comparison is made between traditional and stream-based classification. The results show that accuracy declines intermittently for traditional classification due to the requirement of model re-learning as new data arrives. Second, we show by a simulation that biosignal data streams can be processed with a satisfactory level of performance in terms of accuracy, memory requirement, and speed, by using a collection of stream-mining algorithms called Optimized Very Fast Decision Trees. The algorithms can effectively serve as a corner-stone technology for real-time classification in future biomedical applications.

• 전자공학회논문지 IE
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• 제43권1호
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• pp.5-15
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• 2006

족탕기(STYX ford202)를 이용하여 발 부분의 온열수 자극을 인가하여 생체 현상의 각종 변화를 계측하였다. 생체 현상의 변화 데이터는 발 부분의 온수 열 자극을 43$^{\circ}C$, 45$^{\circ}C$의 조건으로 10명의 남여 사람을 10일 동안 1회 측정시 5분, 10분, 15분, 20분, 경과 실험을 통해 9가지 생리적 요소를 측정하여 분석하였다. 생체신호요소의 측정의 분석 결과는 이마온도는 -0.69 $\pm$ 0.01 감소하였고, 다리온도는 1.51 $\pm$ 0.22 증가되었다. 혈류($m\ell/min$)는 1.18 $\pm$ 0.50 증가되며, 혈압(mmHg)는 -1.49$\pm$ 2.81, (min) -0.06$\pm$ 0.13 감소 현상을 보였다. 맥박수의 변화는 6.97 $\pm$ 0.72 증가하며, 혈당은 ($mg/d\ell$) : -2.41 $\pm$ 1.55 감소되었고, 피부산소포화도 (%): 1.34 $\pm$ 0.28 증가하였다. 또한 체지방(%) -1.75$\pm$ 0.15 및 체중은 (kr): -0.10 $\pm$ 0.04 감소 현상으로 나타났다.

• 대한의용생체공학회:의공학회지
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• 제20권2호
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• pp.119-138
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• 1999

• 전기학회논문지
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• 제57권3호
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• pp.501-506
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• 2008

Medical environments incorporate complex and integrated data networks to transfer vast amounts of patient information, such as images, waveforms, and other digital data. To assure interoperability of images, waveforms and patient data, health level seven(HL7) was developed as an international standard to facilitate the communication and storage of medical data. We also adopted medical waveform description format encoding rule(MFER) standard for encoding waveform biosignal such as ECG, EEG and so on. And, the study converted a broad domain of clinical data on patients, including MFER, into a HL7 message, and saved them in a clinical database in hospital. According to results obtained in the test environment, it was possible to acquire the same HL7 message and biosignal data as ones acquired during transmission. Through this study, we might conclude that the proposed system can be a promising model for electronic medical record system in u-healthcare environment.

• 한국정밀공학회지
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• 제21권4호
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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)

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권1호
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• pp.37-42
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• 2010

Final year students are normally encountering high pressing in their study. In view of this fact, this research focuses on determining mental states condition of college student in final year based on the psycho-physiological information. The experiments were conducted in two times, i.e., prior- and post- graduation seminar examination. The early results indicated that the student profile of mood states (POMS) in prior final graduation seminar showed higher scores than students in post final graduation seminar. Thus, in this research, relation between biosignal representing by heart rate variability (HRV) and questionnaire responses were evaluated by hidden Markov model (HMM) and neural networks (NN).

• 제어로봇시스템학회논문지
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• 제13권12호
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• pp.1186-1191
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• 2007

Human driver monitoring system is one of the most important systems for the safety in driving vehicles, and therefore driver assistance system has gained much attention during the last decade. This paper proposed an intelligent driver assistance system which monitors human driver's states from bio-signals such as ECG and Blood Pressure. The proposed system used mamdani fuzzy inference to evaluate the driver's mental strain and generated warning signals to the driver. The approach using bio-signals in driver assistance system is the main issue of the related systems and the preliminary results showed the possibility of further research topics in developing more intelligent embedded systems with bio-signal feedback.

• 대한임베디드공학회논문지
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• 제16권6호
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• pp.313-321
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• 2021

The global market for medical devices is huge, and it will continue showing remarkable growth in the future. However, due to the entry barrier to develop medical devices, many domestic companies have technical problems in entering the medical device industry. In this paper, we introduce an open platform that can help with research and development for companies in the healthcare industry. This open platform consists of a hardware part and a software part. A hardware part is combined into CPU, base and other modules that are easy to replace and assemble. A software part is based on application software for development developed by Bionet. We test the performance of the open medical device platform using a biosignal processing algorithm.

• 한국광학회:학술대회논문집
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• 한국광학회 2004년도 하계학술발표회
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• pp.294-295
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• 2004

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 추계학술대회
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• pp.324-326
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• 2011

수면 중 생체 신호를 측정하는 것은 수면 장애 진단 및 치료의 중요한 부분을 차지하며, 전반적인 수면의 질을 판단하는 방법으로 사용되고 있다. 현재 수면다원검사와 같이 수면중 생체 신호를 측정하는 방법은 몸에 전극을 부착하는 접촉식 방법이 사용되고 있다. 이는 수면 중 움직임에 제약을 받고, 매 측정 시 마다 탈부착을 해야 하는 번거러움과 고통을 유발하게 된다. 이러한 필요성으로 인해 무구속적 방식으로 생체 정보를 획득하려는 연구가 활발히 진행되고 있는 상태이다. 따라서 본 논문에서는 필름 타입의 압력센서인 피에조 (Piezo)를 침대에 설치하여 직접적인 접촉과 구속감이 없이 분당 심박 수를 산출하고, 호흡의 유무를 판단하는 방법에 대해 제안하였다.