• 센서학회지
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• 제19권4호
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• pp.297-305
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• 2010

A home healthcare system based wireless sensor network, which can continuously monitor and manage the elderly's electrocardiogram(ECG) signal at any space at home without space limit is proposed. The communication coverage of wireless network is expended by multi-hop wireless sensor network. In order to send the elderly's ECG data wirelessly, a small size ECG sensor node was designed to forward the ECG data over multi-hop relay network. The packet acquired by mobile ECG node is transmitted through wireless intermediate nodes to base station for analyzing the packet reception rate. Modified minimum cost forwarding(MMCF) protocol and flooding protocol are designed and implemented to check the transmission efficiency of a packet in a wireless sensor network. The developed MMCF protocol shows an advantage of high reception rate by reduced network traffic.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.1910-1911
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• 2007

A new method for estimating and eliminating electrocardiogram (ECG) artifacts from single channel scalp electroencephalogram (EEG) is proposed. The proposed method consists of emphasis of QRS complex from EEG using least squares acceleration (LSA) filter, generation of synchronized pulse with R-peak and ECG artifacts estimation and elimination using adaptive filter. The performance of the proposed method was evaluated using simulated and real EEG recordings, we found that the ECG artifacts were successfully estimated and eliminated in comparison with the conventional multi-channel techniques, which are independent component analysis (ICA) and ensemble average (EA) method. In conclusion, we can conclude that the proposed method is useful for the detecting and eliminating the ECG artifacts from single channel EEG and simple to use for ambulatory/portable EEG monitoring system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.1978_1979
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• 2009

Heart rate may be a very important parameter in human health. To extract heart rate, the electrocardiogram(ECG) is commonly used. But the ECG acquisition procedure is somewhat complex. On the other hand, the acquisition of pulse wave or photoplethysmogram(PPG) is very easy. However, the peak of PPG is not so sharp as ECG. This study tries to enhance the performance of period detection in PPG signal. The method uses the average slopes around the main peak. The crossing point of the increasing and the decreasing slopes is selected as the peak point of heart rate period. The proposed method showed smoothed heart rate graph and reduced irregularity in heart rate values.

• 전기학회논문지
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• 제58권6호
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• pp.1194-1199
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• 2009

Heart rate may be a very important parameter in human health. To extract heart rate, the electrocardiogram(ECG) is commonly used. But the ECG acquisition procedure is very complex. On the other hand, the acquisition of pulse wave or photoplethysmogram(PPG) is very easy. However, the peak of PPG is not so sharp as ECG. This study tries to enhance the performance of peak detection in PPG signal. The method uses the average slopes around the main peak. The crossing point of the increasing and the decreasing slopes is selected as the peak point of heart rate period. The proposed method showed smoothed heart rate graph and reduced irregularity in heart rate values.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.209-210
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• 2012

최근 u-헬스 중심으로 건강 건강관리를 위해 수많은 PHD(Personal Healthcare Device)가 개발, 상용화 되고 있다. 하지만 대부분의 기기(PHD)들은 각각의 자체적인 프로토콜을 사용하여 통신을 하고 있기 때문에 타 기기간의 상호호환의 어려움이 있다. 이러한 문제점을 개선하고자 ISO와 IEEE에서는 표준화 프로토콜 IEEE11073-20601을 제정하였다. 본 논문에서는 표준 프로토콜 ISO/IEEE11073-20601을 이용하여, ECG(Electrocardiogram) 신호를 수신한 데이터를 Android OS 기반 태블릿에서 보여주고자 한다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.177-180
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• 2002

The type of physiological stress involved in driving is probably complex, and a comprehensive study involving recording of physiological signals such as electrocardiogram(ECG), electromyogram(EMG). Changes in relevant Physiological parameters, such as ECG, EMG, reflected changes in driver status. In order to derive the mental and physical load of driving a motor vehicle from driving behaviour alone it is necessary to establish the relationship between changes in a driver's physiological parameters and behavioral parameters. In this study, we choose two different condition and investigated driver's status using HRV analysis method. Many previous studies have shown that increasing driving time causes a variation of HRV signal.

• Journal of Yeungnam Medical Science
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• 제39권2호
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• pp.172-177
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• 2022

Takotsubo or reverse Takotsubo cardiomyopathy is a well-known cardiac complication of subarachnoid hemorrhage (SAH) that shows transient left ventricular wall motion abnormalities with electrocardiogram (ECG) changes. ST change followed by T inversion is a common ECG finding complicated with these disorders, left bundle branch block (LBBB) may be a potential ECG pattern which is seen. In this case, we describe the clinical profile and outcomes of a patient with LBBB and reverse Takotsubo cardiomyopathy after anesthetic induction, which was scheduled as an emergent external ventricular drainage after SAH. This is the first report of an LBBB pattern in reverse Takotsubo cardiomyopathy.

• 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.

• 한국정보통신학회논문지
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• 제26권10호
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• pp.1469-1476
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• 2022

최근 심전도 (ECG) 및 광전용맥파 (PPG) 신호를 사용하여 혈압을 추정하는 많은 연구가 이루어지고 있다. 본 논문에서는 1차원 합성곱 신경망을 사용하여 실시간으로 혈압을 추정하고 모니터링 할 수 있는 모바일 시스템을 설계하고 구현하였다. 제안하는 신경망 알고리즘은 ECG 및 PPG 신호의 다양한 특징을 세밀하게 추출하도록 11개의 계층으로 구성하고 매개변수를 최적화하도록 설계되었다. 모의실험 결과는 학습한 신경망의 합성곱 커널의 개수가 많을수록 ECG 및 PPG 신호의 특성을 더 잘 나타내기 때문에 선형 회귀 모델보다 평균 제곱 오차가 적어져 더 좋은 성능을 나타내는 것으로 분석되었다. 본 연구에서 개발된 모바일 시스템은 몸에 부착된 ECG 및 PPG 센서 장치로부터 블루투스 통신으로 전송된 측정 신호를 입력받고 실시간으로 학습된 모델로 수축기 및 이완기 혈압 수치를 추정하고 그래프로 표시하게 된다.

• 한국정보통신학회논문지
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• 제20권7호
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• pp.1303-1310
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• 2016

본 논문에서는 전원전압 0.5V의 심전도 검사기(ECG)를 설계하고 칩으로 제작하여 성능을 확인하였다. ECG는 계측 증폭기, 6차 gm-C 저역 통과 필터 그리고 가변이득증폭기로 구성되어 있다. 계측증폭기는 이득이 34.8dB, 6차 gm-C 저역 통과 필터는 400Hz의 차단주파수를 가지게 설계되었다. 저역 통과 필터의 연산 트랜스컨덕턴스 증폭기는 저전압 동작을 위하여 차동 바디 입력 방법을 사용하였다. 가변이득증폭기의 이득 범위는 6.1~26.4dB로 설계되었다. 설계된 심전도 검사기는 TSMC $0.18{\mu}m$ CMOS 공정을 이용하여 $858{\mu}m{\times}580{\mu}m$의 칩크기로 제작되었다. 측정은 입력 신호를 포화시키지 않도록 외부 연결 저항을 조절하여 이득을 낮춘 상태에서 진행한바, 중간 주파수 이득 28.7dB, 대역폭은 0.5 - 630Hz을 얻었으며, 전원전압 0.5V에서 동작함을 확인하였다.