Comparison of methods for correcting outliers in ECG-based biometric identification

The aim of this paper is to compare the efficiency of various outlier correction methods for ECG signal processing in biometric applications. The main idea is to correct anomalies in various segments of ECG waveform rather than skipping a corrupted ECG heartbeat in order to achieve better statistics...

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Bibliographic Details
Main Authors: Su Jun, Miroslaw Szmajda, Volodymyr Khoma, Yuriy Khoma, Dmytro Sabodashko, Orest Kochan, Jinfei Wang
Format: Article
Language:English
Published: Polish Academy of Sciences 2020-09-01
Series:Metrology and Measurement Systems
Subjects:
Online Access:http://journals.pan.pl/dlibra/publication/132784/edition/116022/content