A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm
Lucileide M. D. da Silva,
Sérgio N. Silva,
Luísa C. de Souza
et al.
Abstract:The literature on ECG delineation algorithms has seen significant growth in recent decades. However, several challenges still need to be addressed. This work aims to propose a lightweight R-peak-detection algorithm that does not require pre-setting and performs classification on a sample-by-sample basis. The novelty of the proposed approach lies in the utilization of the typicality eccentricity detection anomaly (TEDA) algorithm for R-peak detection. The proposed method for R-peak detection consists of three p… Show more
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