• 대한의용생체공학회:의공학회지
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• 제25권1호
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• pp.5-10
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• 2004

체동은 수면 분석에 있어서 중요한 변수중의 하나이다. 본 연구에서는 수면 중에 발생하는 체동을 비접촉 방식으로 검출하기 위하여 4채널의 써모파일 검출기를 구현하였으며, 써모파일 센서를 이용한 방식의 체통 검출 가능성을 확인하기 위해 열적외선 카메라를 통해 획득한 영상을 써모파일의 수학적 모델에 적용하였다 합성된 체동 신호는 Haar 웨이브렛을 이용하여 변환함으로써 체통이 발생한 시점과 움직임의 크기를 상체 및 하체로 나누어 순간 체동을 검출하였다. 또한 뉴로-퍼지 알고리즘인 ANFIS를 이용하여 발생한 체동이 상체만 움직인 것인지 또는 하체만 움직인 것인지 또는 몸 전체가 움직인 것인지에 대한 부위별 체동을 검출하였고, 총 3명의 피험자에 대해 60분간의 데이터를 획득하여 실험한 결과 순간 체동과 부위별 체통에 대해 각각 평균 96.3％와 39.2％ 의 검출률을 나타냈다.

• 대한의용생체공학회:의공학회지
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• 제18권1호
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• pp.25-36
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• 1997

To regulate cardiac output of the Total Artificial Heart(TAH) physiologically, the hemodynamic information must be toed back to the controller. So far, our group has developed an automatic cardiac output control algorithm using the motor current waveform, It is, however difficult to detect the preload level such as a filling status of ventricular inflow and the variation of atrial pressures within normal physiologic range(0-15 mmHg) by analyzing the motor current which simultaneously reflects the afterload effect. On the other hin4 the interventricular volume pressure(IVP) which is not influenced by arterload but by preload is a good information source for the estimation of preload states. In order to find the relationship between preload and IVP waveform, we set up the artificial heart system on the Donovan type mock circulatory system and measured the IVP waveform, right and left atrial pressures, inflow and outflow waveforms and the signals represented the information of moving actuator's position. We shows the feasibility of estimating the hemodynamic changes of inflow by using IVP waveform. fife found that the negative peak value of IVP waveform is linearly related to atrial pressures. And we also found that we could use the time to reach the negative peak in IVP waveform, the time to open outflow valve, the area enclosed IVP waveform as unfu parameters to estimate blood filling volume of diastole ventricle. The suggested method has advantages of avoiding thrombogenesis, bacterial niche formation and increasing longterm reliability of sensor by avoiding direct contact to blood.

• 대한의용생체공학회:의공학회지
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• 제35권4호
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• pp.87-94
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• 2014

Recent technological advances have increased interest in personal health monitoring. Electrocardiogram(ECG) monitoring is a basic healthcare activity and can provide decisive information regarding cardiovascular system status. In this study, we developed a capacitive ECG measurement system that can be included within a cloth mattress pad. The device permits ECG data to be obtained during sleep by using capacitive electrodes. However, it is difficult to detect R-wave peaks automatically because signals obtained from the system can include a high level of noise from various sources. Because R-peak detection is important in ECG applications, we developed an algorithm that can reduce noise and improve detection accuracy under noisy conditions. Algorithm reliability was evaluated by determining its sensitivity(Se), positive predictivity(+P), and error rate(Er) by using data from the MIT-BIH Polysomnographic Database and from our capacitive ECG system. The results showed that Se = 99.75%, +P = 99.77%, and Er = 0.47% for MIT-BIH Polysomnographic Database while Se = 96.47%, +P = 99.32%, and Er = 4.34% for our capacitive ECG system. Based on those results, we conclude that our R-peak detection method is capable of providing useful ECG information, even under noisy signal conditions.

• 대한의용생체공학회:의공학회지
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• 제35권4호
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• pp.75-80
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• 2014

This paper proposed a method that can automatically classify sleep apnea by using features extracted from pulse rate variability(PRV) signals induced from piezo snoring sensor for patients with obstructive sleep apnea(OSA). We have extracted eight features(NN, SDNN, RMSSD, NN10, NN50, LF, HF and LF/HF ratio) based on time and frequency analyses of PRV. Sleep apnea was classified by a linear discriminant analysis(LDA). A performance was evaluated using snore recordings from 13 patients with OSA (ages: $54.5{\pm}10.5$ years, body mass index: $26.3{\pm}2.5kg/m^2$, apnea-hypopnea index: $19.2{\pm}6.0/h$). The sensitivity and specificity were $78.9{\pm}0.9%$ and $78.9{\pm}0.9%$ for training set and $77.7{\pm}10.9%$ and $79.0{\pm}2.8%$ for test set, respectively. Our study demonstrated the feasibility of implementing a piezo snoring sensor based on a portable device as a simple and cost-effective solution for contributing to the OSA screening.

• 대한의용생체공학회:의공학회지
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• 제35권3호
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• pp.55-61
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• 2014

In sleep monitoring system, polysomnography (PSG) is the gold-standard but previous studies revealed that attaching numerous amount of sensors disturb sleep during the test which is the fundamental disadvantage of PSG. We suggest an unconstrained rapid-eye-movement (REM) sleep monitoring method measured with polyvinylidene (PVDF) film-based sensor for the normal and the obstructive sleep apnea (OSA) patients. Nine normal subjects and seventeen OSA patients have participated in the study. During REM sleep, rate and variability of respiration are known to be greater than in other sleep stages. Based on this phenomena, respiratory signals of participants were unconstrainedly measured using the PVDF-based sensor with the PSG and REM sleep were extracted from the average rate and variability of respiration. In epoch-by-epoch REM sleep detection, proposed method classified REM sleep with an average sensitivity of 72.3%, specificity of 92.5%, accuracy of 88.9%, and kappa statistic of 0.60 compared to the results of PSG. Student's t-test showed no significant difference between the results of normal and OSA group. This method is potentially applicable to REM sleep detection in homing environment or ambulatory monitoring.

• 대한의용생체공학회:의공학회지
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• 제25권6호
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• pp.623-628
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• 2004

본 논문에서는 원적외선 온열효과가 자율 신경계에 미치는 영향을 심박변동(HRV)을 이용하여 평가 하였다. 측정된 심박변동신호를 FFT 의한 전력스펙트럼을 구함으로써 자율 신경계의 반응 특성을 고찰하고 Poincare plot 분석 방법을 이용하여 결과를 비교 분석하였다. 실험을 통해 심박변동 신호분석해보면 원적외선 온열에 노출되기 전에 비해 노출된 후에 매우 복잡한 모습임을 관찰 할 수 있었는데 이것은 자율신경계가 관여하는 심혈관계 제어 메커니즘이 원적외선 온열에 노출되기 전보다 노출된 후에 더욱 복잡함을 반영하는 것으로 분석된다.

• 대한의용생체공학회:의공학회지
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• 제18권3호
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• pp.285-290
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• 1997

In this paper, the power spectral analysis and the fractal analysis of heart rate variability(HRV) were performed to evaluate the effects of brain lesion on cardiovascular system and autonomic function for 24 normal subjects and 22 hemiplegic patients. The ECG and respiration signals were recorded at tilt angles of $0^{\circ}$ and $70^{\circ}$ for 5 and 6 minutes successively under the condition of frequency controlled respiration (0.25Hz). For normal subjects, HR, LF component, HF component and fractral dimension of HRV were distinctly changed after orthostatic stress, whereas, for hemiplegic patients, those were little changed. Complexity and variability of heart rate of patients were smaller than those of normal subjects. Sympathetic tone of patients was higher than that in normal subjects. All of these results support that autonomic disorder and cardiovascular disturbance accompanied by brain lesion could be assessed by the power spectral analysis and fractal analysis of HRV.

• 정보처리학회논문지B
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• 제16B권1호
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• pp.63-70
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• 2009

BCI 기술은 생체신호인 뇌파를 수집하여 신호처리를 거친 후 실질적인 기기제어 및 통신 시스템 등을 제어하는 시스템 관련 기술이다. BCI 시스템 구현을 위해서는 뇌파의 특성을 실시간으로 분석하여 학습 시키고 학습된 뇌파의 특성을 적용하는 단계가 요구된다. 본 논문에서는 EEG 데이터를 효율적으로 분석하기 위해 점진적으로 갱신되는 주성분 분석을 이용하여 왼손/오른손 동작에 영향을 미치는 EEG 신호의 특징을 찾고, 이를 반영하여 데이터의 차원을 축소한다. 입력 자료의 특징을 충분히 포함하면서 낮은 차원을 가지는 데이터를 이용한다면 분류를 위한 계산량을 감소시킬 수 있을 뿐만 아니라 불필요한 특징을 제거함으로써 분류 성능을 향상 시킬 수 있다. 본 논문에서는 점진적으로 갱신되는 주성분 분석을 이용하여 데이터의 차원을 축소하고 이에 대한 효율성을 검증하기 위해 K-NN분류기를 이용하여 분류 정확도 측정을 수행하였다. 그 결과 주성분 분석을 이용하여 특징을 추출하고 분류율을 측정한 경우보다 평균 5% 높은 분류 정확율을 보였다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1993년도 추계학술대회
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• pp.40-43
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• 1993

Electronic fetal monitoring system is an easier ar d usual method in various prenatal and labor period fetal surveilence methods currently in use. But there haven't been enough cases of using the central monitoring system despite the fact that the bedside fetal monitoring system have already been widely in use in Korea as an essential medical equipment item. We have developed more efficient central fetal monitoring system based on the personal computer with the visual maternal monotoring device using infrared camera which processes the signals from existing bedside fetal monitoring systems such as H/P's 8040 series. And we have performed the clinical application on 41 pregnant women and the results were satisfactory. In conclusion, more efficient and familial fetal monitoring is possible with our PC based central fetal monitoring system which provides the medical personnel with the view of a selected pregnant woman on the same screen where the electronic waveforms and data are displayed.

• Molecules and Cells
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• 제39권1호
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• pp.65-71
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• 2016

A challenge in the redox field is the elucidation of the molecular mechanisms, by which $H_2O_2$ mediates signal transduction in cells. This is relevant since redox pathways are disturbed in some pathologies. The transcription factor OxyR is the $H_2O_2$ sensor in bacteria, whereas Cys-based peroxidases are involved in the perception of this oxidant in eukaryotic cells. Three possible mechanisms may be involved in $H_2O_2$ signaling that are not mutually exclusive. In the simplest pathway, $H_2O_2$ signals through direct oxidation of the signaling protein, such as a phosphatase or a transcription factor. Although signaling proteins are frequently observed in the oxidized state in biological systems, in most cases their direct oxidation by $H_2O_2$ is too slow ($10^1M^{-1}s^{-1}$ range) to outcompete Cys-based peroxidases and glutathione. In some particular cellular compartments (such as vicinity of NADPH oxidases), it is possible that a signaling protein faces extremely high $H_2O_2$ concentrations, making the direct oxidation feasible. Alternatively, high $H_2O_2$ levels can hyperoxidize peroxiredoxins leading to local building up of $H_2O_2$ that then could oxidize a signaling protein (floodgate hypothesis). In a second model, $H_2O_2$ oxidizes Cys-based peroxidases that then through thiol-disulfide reshuffling would transmit the oxidized equivalents to the signaling protein. The third model of signaling is centered on the reducing substrate of Cys-based peroxidases that in most cases is thioredoxin. Is this model, peroxiredoxins would signal by modulating the thioredoxin redox status. More kinetic data is required to allow the identification of the complex network of thiol switches.