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논문 기본 정보

자료유형
학술저널
저자정보
Yeon-Sik Noh (연세대학교) Sung-Jun Park (연세대학교) Sung-Bin Park (원주의료기기테크노밸리) Hyung-Ro Yoon (연세대학교)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.3 No.4
발행연도
2008.12
수록면
576 - 583 (8page)

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초록· 키워드

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In this study, we attempt to design a real-time autonomic nervous system (ANS) evaluation system usable during exercise using heart instantaneous frequency (HIF). Although heart rate variability (HRV) is considered to be a representative signal widely used ANS evaluation system, the R-peak detection process must be included to obtain an HRV signal, which involves a high sampling frequency and interpolation process. In particular, it cannot accurately evaluate the ANS using HRV signals during exercise because it is difficult to detect the R-peak of electrocardiogram (ECG) signals with exposure to many noises during exercise. Therefore, in this study, we develop the ground for a system that can analyze an ANS in real-time by using the HIF signal circumventing the problem of the HRV signal during exercise. First, we compare the HRV and HIF signals in order to prove that the HIF signal is more efficient for ANS analysis than HRV signals during exercise. Further, we performed real-time ANS analysis using H1F and confirmed that the exerciser's ANS variation experiences massive surges at points of acceleration and deceleration of the treadmill (similar to HRV).

목차

Abstract
1. Introduction
2. Evaluation of ANS
3. ECG Signal Processing
4. Test and Discussion
5. Conclusion
Acknowledgements
References

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