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...

詳細記述

書誌詳細

出版年:	Metrology and Measurement Systems
主要な著者:	Su Jun, Miroslaw Szmajda, Volodymyr Khoma, Yuriy Khoma, Dmytro Sabodashko, Orest Kochan, Jinfei Wang
フォーマット:	論文
言語:	英語
出版事項:	Polish Academy of Sciences 2020-09-01
主題:	euclidean distance autoencoders outlier correction ecg signal human identification biometrics
オンライン･アクセス:	http://journals.pan.pl/dlibra/publication/132784/edition/116022/content