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보간 방법에 따른 언더샘플링된 광용적맥파 복원 가능성 평가
신항식(Hangsik Shin),김훈(Hoon Kim) 대한전기학회 2016 전기학회논문지 Vol.65 No.8
The purpose of this research is to investigate the effect of sampling frequency on the photoplethysmography (PPG) and to evaluate the performance of interpolation methods for under-sampled PPG. We generated down-sampled PPG using 10 ㎑-sampled PPG then evaluated waveshape changes with correlation coefficient. Correlation coefficient was significantly decreased at 50 ㎐ or below sampling frequency. We interpolated the down-sampled PPG using four interpolation method–linear, nearest, cubic spline and piecewise cubic Hermitt interpolation polynomial – then evaluated interpolation performance. As a result, it was shown that PPG waveform that was sampled over 20 ㎐ could be reconstructed by interpolation. Among interpolation methods, cubic spline interpolation showed the highest performance. However, every interpolation method has no or less effect on 5 ㎐ sampled PPG.
심박변이율 주파수 분석을 통한 실내온도에 따른 건강한 성인의 자율신경계 활동 평가
신항식(Hangsik Shin) 대한전기학회 2015 전기학회논문지 Vol.64 No.8
The purpose of this paper is to investigate the autonomic nervous system activity in various ambient temperatures. To evaluate autonomic function, we use the frequency domain analysis of heart rate variability such as FFT(fast fourier transformation), AR(Auto-Regressive) model and Lomb-Scargle peridogram. HRV(heart rate variability) is calculated by using ECG recorded from 3 different temperature room which temperature is controlled in 18℃(low), 25℃(mid) and 38℃(high), respectively. Totally 22 subjects were participated in the experiment. In the results, the most significant autonomic changes caused by temperature load were found in the HF(high frequency) component of FFT and AR model. And the HF power is decreased by increasing temperature. Significance level was increased by increasing the difference of temperatures.
Intracardiac Signal의 스펙트럼 분석을 통한 Atrial Tachycardia 및 Atrial Fibrillation 검출
申伉植(Hangsik Shin),李忠根(Chungkeun Lee),鄭報寧(Boyoung Joung),李明鎬(Myoungho Lee) 대한전기학회 2006 전기학회논문지 D Vol.55 No.3
Detection methods for atrial tachycardia and atrial fibrillation on the time axis have the advantages of light operational load and are easy to apply to various applications. Despite these advantages, arrhythmia detection algorithm on the time axis cannot stand much noise such as motion artifacts, moreover the peak detection algorithm has high complexity. In this paper, we use a spectrum analysis method for the detection of atrial tachycardia and atrial fibrillation. By applying spectrum analysis and digital filtering on obtained electrogram signals, we can diagnose heart arrhythmia without using peak detection algorithm.