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¿µ¹®Á¦¸ñ(English Title) |
Multiscale Fuzzy Dispersion Entropy for Heart rate variability analysis |
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Ga-Young Kim
Jung-Hwun You
Su-Hong Eom
Eung-Hyuk Lee
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Chae-Min Kim
Young-Seok Choi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 45 NO. 01 PP. 1573 ~ 1576 (2022. 06) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Heart rate variability (HRV) plays an important role in reflecting inter-beat (R-R) intervals controlled by the autonomic nervous system (ANS). Here, we present a novel multiscale entropy method for analyzing HRV obtained by electrocardiogram (ECG) signals. Computing Fuzzy dispersion entropy (FDE) over multiple temporal scales leads to a better quantification of the complexity of R-R intervals. Thus, the proposed method, named multiscale FDE (MFDE), inherits the merits of FDE and precise complexity estimation. Through simulations using synthetic noises and real ECG signals, we validate the capability of the proposed method compared with the conventional multiscale entropy estimation method. |
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