• Biotechnology and Bioprocess Engineering:BBE
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• 제7권1호
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• pp.52-55
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• 2002

Flow cytometric techniques were used to investigate cell size, protein content and cell cycle behavior of recombinant Saccharomyces cerevisiae strains producing human lysozyme (HLZ). Two different signal sequences, the native yeast $MF\alpha1$ signal sequence and the rat $\alpha-amylase$ signal sequence, were used for secretion of HLZ. The strain containing the rat $\alpha-amylase$ signal sequence showed a higher level of internal lysozyme and lower specific growth rates. Flow cytometric analysis of the total protein content and cell size showed the strain harboring the native yeast signal sequence had a higher total protein content than the strain containing the rat $\alpha-amylase$ signal sequence. Cell cycle analysis indicated that the two lysozyme producing recombinant strains had an increased number of cells in the $G_2+M$ phase of the yeast cell cycle compared with the host strain SEY2102.

• 한국전자파학회논문지
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• 제19권11호
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• pp.1204-1212
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• 2008

이 논문에서는 여러 곳에서 통용되고 있는 기존의 CW(Continuous-Wave) 바이오 레이더 송수신 모델을 수정한 새로운 송수신 모델을 제안한다. 최근에 심장 박동과 호흡을 검출하기 위해 CW 바이오 레이더를 이용해서 여러 연구 기관에서 연구가 진행되고 있다. 그러나 이 통용되고 있는 수신 모델을 이용해서 심장 박동을 검출하게 되면 여분의 위상 변이나 가우시안 잡음에 취약하고, 또한 인체 공학적으로 개념상 정확하지 못한 단점을 가지고 있다. 그러므로 이 논문에서 인체 공학상으로 정확한 수정된 CW 바이오 레이더 송수신 모델을 제안함으로써 여분의 위상 변이와 가우시안 잡음이 있는 환경뿐 아니라 다중 경로 환경에서 기존의 송수신 모델과의 심장 박동과 호흡 검출에 대한 성능을 비교 분석한다.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.146-154
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• 2020

Negative emotion causes stress and lack of attention concentration. The classification of negative emotion is important to recognize risk factors. To classify emotion status, various methods such as questionnaires and interview are used and it could be changed by personal thinking. To solve the problem, we acquire multi modal bio-signals such as electrocardiogram (ECG), skin temperature (ST), galvanic skin response (GSR) and extract features. The neural network (NN), the deep neural network (DNN), and the deep belief network (DBN) is designed using the multi modal bio-signals to analyze emotion status. As a result, the DBN based on features extracted from ECG, ST and GSR shows the highest accuracy (93.8%). It is 5.7% higher than compared to the NN and 1.4% higher than compared to the DNN. It shows 12.2% higher accuracy than using only single bio-signal (GSR). The multi modal bio-signal acquisition and the deep learning classifier play an important role to classify emotion.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2008년도 춘계학술대회 논문집
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• pp.895-896
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• 2008

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 추계학술대회 논문집
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• pp.267-268
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• 2002

We developed nausea, caused by disorder of autonomic nervous system, detection system using bio-signal analysis and artificial neural network in virtual reality enironment. We used 16 bio-signals, 9 EEGs, EOG, ECG, SKT, PPG, GSR, RSP, EGC, which has own analysis methods. We estimated nausea level by artificial neural network.

• 융복합기술연구소 논문집
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• 제6권1호
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• pp.7-11
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• 2016

An experiment was performed to show the bio-signal characteristics of the Stuckyi when was heated. To measure the bio-signal of the plant, this study used the electrode with copper(+) and constantan(-). The electrode was directly inserted into the Stuckyi stems. And used T-type thermocouple to measure the inside temperature of the Stuckyi. During the experiments, room temperature also measured with T-type thermocouple. Heating was made with hair dryer periodically that 3 times turned on for heating 5 min and off for non-heating 25 min. Under the situation, the responses of the Stuckyi including voltage potential and inside temperature were measured using data logger(HP-34970A) according to the distances(15cm, 30cm, 45cm) between hair dryer and the plant. Through the experiments, We knew that the inside temperature has similar level and behavior with the room temperature at normal state. And during heating period, the inside temperature and the potential were also simultaneously increased sharply. From the experiments, we revealed that the measuring system of bio-signal of the plant being proposed in this study can be useful to show the Characteristics of the plants.

• Progress in Superconductivity
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• 제8권1호
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• pp.33-39
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• 2006

We have developed a second-order double relaxation oscillation SQUID(DROS) gradiometer with a baseline of 35 mm, and constructed a poorly magnetically-shielded room(MSR) with an aluminum layer and permalloy layers for magnetocardiography(MCG). The 2nd-order DROS gradiometer has a noise level of 20 $fT/{\surd}Hz$ at 1 Hz and 8 $fT/{\surd}Hz$ at 200 Hz inside the heavily-shielded MSR with a shielding factor of $10^3$ at 1 Hz and $10^4-10^5$ at 100 Hz. The poorly-shielded MSR, built of a 12-mm-thick aluminum layer and 4-6 permalloy layers of 0.35 mm thickness, is 2.4mx2.4mx2.4m in size, and has a shielding factor of 40 at 1 Hz, $10^4$ at 100 Hz. Our 64-channel second-order gradiometer MCG system consists of 64 2nd-order DROS gradiometers, flux-locked loop electronics, and analog signal processors. With the 2nd-order DROS gradiometers and flux-locked loop electronics installed inside the poorly-shielded MSR, and with the analog signal processor installed outside it, the noise level was measured to be 20 $fT/{\surd}Hz$ at 1 Hz and 8 $fT/{\surd}Hz$ at 200 Hz on the average even though the MSR door is open. This result leads to a low noise level, low enough to obtain a human MCG at the same level as that measured in the heavily-shielded MSR. However, filters or active shielding is needed fur clear MCG when there is large low-frequency noise from heavy air conditioning or large ac power consumption near the poorly-shielded MSR.

• Progress in Superconductivity
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• 제8권2호
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• pp.164-168
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• 2007

We developed a SQUID magnetometer based on Double Relaxation Oscillation SQUID(DROS) for measuring magnetocardiography(MCG). Since DROS provides a 10 times larger flux-to-voltage transfer coefficient than the conventional DC-SQUID, simple flux-locked loop electronics could be used for SQUID operation. Especially, we adopted an external feedback to eliminate the magnetic coupling with adjacent channels. When the DROS magnetometer was operated inside a magnetically shielded room, average magnetic field noise was about 5 $fT/^{\surd}Hz$ at 100 Hz. Using the DROS magnetometer, we constructed a multichannel MCG system. The system consisted of 61 magnetometers are arranged in a hexagonal structure and measures a vertical magnetic-field component to the chest surface. The distance between adjacent channels is 26 mm and the magnetometers cover a circular area with a diameter of 208 mm. We recorded the MCG signals with this system and confirmed the magnetic field distribution and the myocardinal current distribution.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 추계학술대회
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• pp.65-67
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• 2017

모바일 컴퓨팅과 웨어러블 기술의 발전으로 인하여 일상생활 속에서 생체신호를 측정하는 다양한 웨어러블 디바이스가 개발 및 보급이 되면서, 생체신호를 활용한 건강관리서비스가 주목 받고 있다. 최근에는 다양한 생체신호 분석 툴을 활용하여 건강관리서비스가 개발 및 연구되고 있다. 대부분의 생체신호 분석 연구는 Matlab을 활용한다. 그러나, Matlab으로 개발한 알고리즘을 시스템에 적용하기 위해서는 소스의 변환 작업이 필요하다. 소스의 변환 작업을 생략할 수 있는 스마트 인터페이스를 제공하고자 한다. 본 논문은 Matlab에서 개발한 알고리즘을 시스템에 적용하기 위한 변환 기술을 생략하고, 소스 파일 자체를 시스템에서 실행시키기 위한 인터페이스를 개발한다.

• 대한인간공학회지
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• 제18권1호
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• pp.121-131
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• 1999

There have been many questionnaires, catecholeamins analysis and bio-signal analysis to analyze human stress condition through out the years, and especially researches in bio-signal analysis have been actively increasing. The purpose of our research is Quantitative analysis of stress with synthesis of bio-signals. The stress status was estimated using the bio-signals and fuzzy theory which combines these signals and physiological knowledge. Stress was estimated by a 'coin-stacking' experiment with two type-relax and stress status. To do the experiment EMG, respiration, periphery temperature, heart rate and skin conductances were used to evaluate human stress stages. The system was tested to 10 healthy persons and achieved a template of a stress progress and stress variations were classified to 4 steps by continuous or rising status of stress progress.