Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis

Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis

Heart rate variability, which is the fluctuation of the R-R interval (RRI) in electrocardiograms (ECG), has been widely adopted for autonomous evaluation. Since the HRV features that are extracted from RRI data easily fluctuate when arrhythmia occurs, RRI data with arrhythmia need to be modified app...

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Bibliographic Details
Main Authors: Koichi Fujiwara, Shota Miyatani, Asuka Goda, Miho Miyajima, Tetsuo Sasano, Manabu Kano
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
heart rate variability analysis
extrasystole
RRI data
machine learning
autoencoder
Online Access:https://www.mdpi.com/1424-8220/21/9/3235

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