• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.8
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• pp.1947-1954
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• 2013

Previous works for detecting arrhythmia have mostly used nonlinear method such as artificial neural network, fuzzy theory, support vector machine to increase classification accuracy. Most methods require accurate detection of P-QRS-T point, higher computational cost and larger processing time. But it is difficult to detect the P and T wave signal because of person's individual difference. Therefore it is necessary to design efficient algorithm that classifies different arrhythmia in realtime and decreases computational cost by extrating minimal feature. In this paper, we propose arrhythmia detection based on binary coding using QRS feature varibility. For this purpose, we detected R wave, RR interval, QRS width from noise-free ECG signal through the preprocessing method. Also, we classified arrhythmia in realtime by converting threshold variability of feature to binary code. PVC, PAC, Normal, BBB, Paced beat classification is evaluated by using 39 record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 97.18%, 94.14%, 99.83%, 92.77%, 97.48% in PVC, PAC, Normal, BBB, Paced beat classification.

• Journal of Biomedical Engineering Research
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• v.11 no.1
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• pp.57-64
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• 1990

This study describes the design of the portable intelligent QT analyzer which can record and analyze the ambulatory ECG data. System hardware is consisted of the one chip microcomputer(80C31) , A/D, ROM, RAM, LCD display and preamplifier. ECG data were processed by the differentiator and the digital filter. The de- tection of the parameters-QT, QTP and RR interval-was accomplished by the software algorithm using the slope and the amplitude of the processed data. Using this system, the trends of the parameters obtained during the long term could be observed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.85-89
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• 1997

We present several biosignal measurement results and analysis algorithms for the visual stimulus from International Affective Picture Sytem. Sine human body is nonlinear dynamic system, we investigated both linear and nonlinear methods. We found that the alpha wave of EEG, the chaos of peripheral blood pressure, the LF/HF of HRV and thd retutn map of RR interval were good parameters for the measuremet of human sensibility. These can be used as the parameters for the measurement of human sensibility.

• Journal of Biomedical Engineering Research
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• v.10 no.1
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• pp.17-24
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• 1989

This papaer presents a new algorithm for the P-wave detection in the ECG signal. Digital differentiation method (7-point derivative) is used for detecting P-waves exactly. This algorithm can detect various parameters of PR, PP, RR interval, which are important to diagnosis AV blocks and WPW syndrome. Especially, this algorithm can detect P-waves very efficiently not only in well-preprocessed waves but in pccr waves with noise and artifact. And it enables to develope more reliable automatic diagnosis algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.10A
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• pp.1727-1736
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• 2001

본 논문에서는 실제 자원의 개발 전에도 망 관리 시스템의 개발 및 운용 테스트를 수행하도록 지원하는 실제 자원 시뮬레이터(RRS : Real Resource Simulator)를 제안한다. RRS는 객체의 상태를 유지하는 MOT(Managed Object Table)와 사용자가 정의한 동작 특성을 유지하는 SDT(Simulation Data Table), 랜덤(Random) 값과 랜덤주기(interval) 값을 발생할 지원 함수들, 순차적인 사건 발생 또는 값의 수정을 지원하는 스케줄링 테이블, 그리고 이들을 전체적으로 관장하는 메인 커널로 이루어져 있다. 본 논문에서는 이러한 각 요소의 기능과 동작 시나리오, 이를 이용한 평가 방안을 소개한다.

• Health Policy and Management
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• v.29 no.4
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• pp.513-522
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• 2019

Background: South Korea operates a Medical Aid (MA) program targeting selected low-income individuals to ensure medical service delivery to the disadvantaged while enhancing self-sufficiency of work-capable beneficiaries. However, as reasons behind welfare exits are diverse and do not always infer poverty relief or the provision of appropriate levels of health care services, this study aimed to investigate the association between changes in MA status and health care utilization. Methods: This study used the 2006 to 2015 National Health Insurance claims data. The impact of changes in annual MA status on health care utilization (yearly number of outpatient visits, inpatient visits, length of stay, and emergency department [ED] visits) was investigated using the generalized estimating equation model. Results: In 117,943 adult subjects aged 20 to 64, compared to the 'MA to MA' group, the 'MA to MA exit' group showed general decreases in utilization (outpatient visits: β=-3.93, p<0.0001; hospital admissions: relative risk [RR], 0.87; 95% confidence interval [CI], 0.83-0.91; length of stay: β=-3.64, p<0.0001; ED visits: RR, 0.83; 95% CI, 0.77-0.90). Similar patterns were found in the 'MA exit to MA exit' group (outpatient visits: β=-5.72, p<0.0001; admissions: RR, 0.91; 95% CI, 0.87-0.94; length of stay: β=-5.87; p<0.0001; ED visits: RR, 0.81; 95% CI, 0.75-0.88). Likewise, in 74,747 older adult subjects aged 65 or above, the 'MA to MA exit' group showed reduced levels of utilization (outpatient visits: β=-1.51; p=0.0020), as well as the 'MA exit to MA exit' group (admissions: RR, 0.92; 95% CI, 0.89-0.95; length of stay: β, -5.45; p<0.0001; ED visits: RR, 0.90; 95% CI, 0.83-0.97). Conclusion: MA exit was associated with general decreases in health care utilization. Utilization patterns of individuals with experiences of receiving MA benefits should be monitored to promote the ideal use of health care services while preventing potential financial barriers present in accessing medical care.

• Tuberculosis and Respiratory Diseases
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• v.78 no.4
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• pp.326-335
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• 2015

Background: Asian dust is known to have harmful effects on the respiratory system. Respiratory conditions are also influenced by environmental conditions regardless of the presence of pollutants. The same pollutant can have different effects on the airway when the air is dry compared with when it is humid. We investigated hospital visits for chronic obstructive pulmonary disease (COPD) and asthma in relation to the environmental conditions. Methods: We conducted a retrospective study using the Korean National Health Insurance Service claims database of patients who visited hospitals in Chuncheon between January 2006 and April 2012. Asian dust, haze, mist, and fog days were determined using reports from the Korea Meteorological Administration. Hospital visits for asthma or COPD on the index days were compared with the comparison days. We used two-way case-crossover techniques with one to two matching. Results: The mean hospital visits for asthma and COPD were $59.37{\pm}34.01$ and $10.04{\pm}6.18$ per day, respectively. Hospital visits for asthma significantly increased at lag0 and lag1 for Asian dust (relative risk [RR], 1.10; 95% confidence interval [CI], 1.01-1.19; p<0.05) and haze (RR, 1.13; 95% CI, 1.06-1.22; p<0.05), but were significantly lower on misty (RR, 0.89; 95% CI, 0.80-0.99; p<0.05) and foggy (RR, 0.89; 95% CI, 0.84-0.93; p<0.05) days than on control days. The hospital visits for COPD also significantly increased on days with Asian dust (RR, 1.29; 95% CI, 1.05-1.59; p<0.05), and were significantly lower at lag4 for foggy days, compared with days without fog (RR, 0.85; 95% CI, 0.75-0.97; p<0.05). Conclusion: Asian dust showed an association with airway diseases and had effects for several days after the exposure. In contrast to Asian dust, mist and fog, which occur in humid air conditions, showed the opposite effects on airway diseases, after adjusting to the pollutants. It would require more research to investigate the effects of various air conditions on airway diseases.

• Journal of information and communication convergence engineering
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• v.19 no.2
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• pp.93-101
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• 2021

Cardiac arrhythmias are common heart diseases and generally cause sudden cardiac death. Electrocardiogram (ECG) is an effective tool that can reveal the electrical activity of the heart and diagnose cardiac arrhythmias. We propose detection of P waves based on QRST cancellation zero-one substitution. After preprocessing, the QRST segment is determined by detecting the Q wave start point and T wave end point separately. The Q wave start point is detected by digital analyses of the QRS complex width, and the T wave end point is detected by computation of an indicator related to the area covered by the T wave curve. Then, we determine whether the sampled value of the signal is in the interval of the QRST segment and substitute zero or one for the value to cancel the QRST segment. Finally, the maximum amplitude is selected as the peak of the P wave in each RR interval of the residual signal. The average detection rate for the QT database was 97.67%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.2
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• pp.450-460
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• 2017

T wave is cardiac parameters that represent ventricular repolarization, it is very important to diagnose arrhythmia. Several methods for detecting T wave have been proposed, such as frequency analysis and non-linear approach. However, detection accuracy is at the lower level. This is because of the overlap of the P wave and T wave depending on the heart condition. We propose T wave detection algorithm based on target area extraction through QRS cancellation and moving average. For this purpose, we detected Q, R, S wave from noise-free ECG(electrocardiogram) signal through the preprocessing method. And then we extracted P, T target area by applying decision rule for four PAC(premature atrial contraction) pattern another arrhythmia through moving average and detected T wave using RT interval and threshold of RR interval. The performance of T wave detection is evaluated by using 48 record of MIT-BIH arrhythmia database. The achieved scores indicate the average detection rate of 95.32%.

• Proceedings of the KSMRM Conference
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• 2003.10a
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• pp.45-45
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• 2003

To evaluate remodeling of infarcted myocardium with contrast-enhanced MRI (co-MRI) at true end-diastole (ED) MRI was performed with a Gyroscan Intera (1.5 Tesla, Philips, Netherlands) in 13 patients with acute subendocardial myocardial infarction. The First exam was done 0-15 days (mean 5.2days) after symptom onset and the second exam 28-88days (mean 49 days) after the first exam. Ce-MRI encompassing the entire left ventricle was performed with a multi-shot, turbo-field-echo, breath-hold sequence and a non-selective, inversion prepulse 10 minutes after the intravenous injection of Gd-DTPA at a dose of 0.2 mmol/kg body weight. To allow the long TD, ECG synchronization should use two RR-intervals for one acquisition of a segment of k-space by setting the heart rate to half that of the true heart rate. Trigger delay time (TD) was adjusted to the RR-interval for true end-diastolic imaging. The other typical parameters were TR=5.4ms, TE=1.6ms, voxel size=1.37${\times}$1.37${\times}$10mm, k-space data segmented into 8 segments with 32 lines of segment per two cycles over 16 cardiac circles. The thickness of hyperenhanced myocardium and epicardially nonenhanced myocardium were followed.