Noise detection on ECG based on agglomerative clustering of morphological features

This study introduces a novel method for noise and artifact detection in electrocardiogram based on time series clustering.The algorithm starts with the extraction of features that best characterize the shape and behaviour of the signal over time and groups its samples in separated clusters by means of an agglomerative clustering approach.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Source Type: research