4:20 PM - 4:40 PM
[2J3-04] Denoising autoencoder-based modification method for RRI data with premature ventricular contraction
Keywords:autoencoder (AE), heart rate variability (HRV), premature ventricular contraction (PVC)
The fluctuation of an RR interval (RRI) on an electrocardiogram (ECG) is called heart rate variability (HRV). Since HRV reflects the activities of the autonomous nervous system, HRV has been used for many kinds of health monitoring systems. However, HRV is easily influenced by arrhythmia, which prevents the precise health monitoring. The present work focuses on premature ventricular contraction (PVC) which is common arrhythmia. To modify RRI data with PVC, the present work proposes a new method based on denoising autoencoder (DAE), referred to as DAE-based RRI modification (DAE-RM). The performance of DAE-RM was evaluated by its application to clinical RRI data which contains artificial PVC (PVC-RRI). The root mean squared error (RMSE) of modified RRI was improved by 84% from PVC-RRI. The result showed that DAE-RM could modify PVC-RRI data appropriately. The proposed DAE-RM has the potential for realizing precise health monitoring systems which use HRV analysis.