Publicación

Tipo de publicación: Artículos científicos (Publicados en revistas de divulgación o científicas)

Título del artículo: A novel method for ECG signal morphology analysis using tortuosity estimation

Registrado por: Biomedical Signal Processing and Control

Año de publicación: 2024

Resumen: Objective: The present work aims to evaluate an electrocardiogram (ECG) signal with a new algorithm based on
the tortuosity of the signal, which seeks a better performance in differentiating pathologies without losing signal
information due to abnormalities.
Methods: The digitized ECG signal is studied as a set of segments that make up the complete signal. For each
segment, the associated slope is calculated and, using the chain code, the change in the slope between contiguous
segments is obtained to conform the tortuosity of the signal. This procedure was used for 12-lead ECG signals for
14 subjects from the arrhythmia group and 14 subjects form the control group, resulting in 168 signals analyzed
per study group.
Results: The tortuosity results between both study groups were compared using the statistical t-test, showing a
significant difference (p < 0.05) in 9 of 12 leads of the ECG signal. This was compared with the RR-interval
values, in which no significant difference was found in any lead between the study groups, indicating better
discrimination performance with the proposed algorithm.
Conclusions: The proposed method can differentiate for most of the ECG leads between pathological and healthy
signals.
Significance: This method was compared to the widely used method RR-interval estimation and outperformed it
by obtaining statistical differences in 9 more leads between the study groups.

Editorial:

Número de páginas:

Autor(es): Luis Eduardo Pacheco González, DidierTorres Guzmán , Eduardo Barbará Morales

Campo: Ingeniería Biomédica

Disciplina: Procesamiento de señales

Subdisciplina: señales biomédicas, bioseñales

Número de registro: https://doi.org/10.1016/j.bspc.2024.106772