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논문 기본 정보

자료유형
학술저널
저자정보
Md Saifur Rahman (Kongju National University) ChulhyungChoi (Kongju National University) Young-pil Kim (Kongju National University) Sikyung Kim (Kongju National University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.13 No.5
발행연도
2018.9
수록면
2,080 - 2,085 (6page)

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초록· 키워드

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There have been numerous studies that extract the R-peak from electrocardiogram (ECG) signals. All of these studies can extract R-peak from ECG. However, these methods are complicated and difficult to implement in a real-time portable ECG device. After filtration choosing a threshold value for R-peak detection is a big challenge. Fixed threshold scheme is sometimes unable to detect low R-peak value and adaptive threshold sometime detect wrong R-peak for more adaptation. In this paper, a simple and robustness algorithm is proposed to detect R-peak with less complexity. This method also solves the problem of threshold value selection. Using the adaptive filter, the baseline drift can be removed from ECG signal. After filtration, an appropriate threshold value is automatically chosen by using the minimum and maximum value of an ECG signals. Then the neighborhood searching scheme is applied under threshold value to detect R-peak from ECG signals. Proposed method improves the detection and accuracy rate of R-peak detection. After R-peak detection, we calculate heart rate to know the heart condition.

목차

Abstract
1. Introduction
2. The Proposed Algorithm
3. Experimental Result and Discussion
4. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2018-560-003325579