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ÇѱÛÁ¦¸ñ(Korean Title) ½É¹Ú º¯ÀÌÀ² ºÐ¼®À» À§ÇÑ ¸ÖƼ½ºÄÉÀÏ ÆÛÁö ºÐ»ê ¿£Æ®·ÎÇÇ ±â¹ý
¿µ¹®Á¦¸ñ(English Title) Multiscale Fuzzy Dispersion Entropy for Heart rate variability analysis
ÀúÀÚ(Author) ±è°¡¿µ   ·ùÁßÇö   ¾ö¼öÈ«   ÀÌÀÀÇõ   Ga-Young Kim   Jung-Hwun You   Su-Hong Eom   Eung-Hyuk Lee   ±èä¹Î   ÃÖ¿µ¼®   Chae-Min Kim   Young-Seok Choi  
¿ø¹®¼ö·Ïó(Citation) VOL 45 NO. 01 PP. 1573 ~ 1576 (2022. 06)
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(Korean Abstract)
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(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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