Authors:
Andrés Orozco-Duque
1
;
Juan P. Ugarte
1
;
Catalina Tobón
2
;
Carlos A. Morillo
3
;
Javier Saiz
4
and
John Bustamante
1
Affiliations:
1
Universidad Pontificia Bolivariana, Colombia
;
2
Universidad Politécnica de Valencia and Instituto Tecnológico Metropolitano, Spain
;
3
McMaster University-HHSC-PHRI, Canada
;
4
Universidad Politécnica de Valencia, Spain
Keyword(s):
Atrial Fibrillation, Dominant Frequency, Electrograms, Organization Index, Regularity Index, Digital Filters.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Cardiovascular Signals
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
Atrial fibrillation (AF) is the most common tachyarrhythmia. An accurate AF diagnosis is based on electrograms (EGM) interpretation. In this work, we evaluated different preprocessing filters to calculate dominant frequency (DF), organization index (OI) and regularity index (RI) for EGMduring AF, this comparative analysis has not been reported previously. EGMwere obtained from AF simulated by a three-dimensional model of human atria. The preprocessing stage with a low-pass filter, rectification and high pass filter was implemented. Additionally, a test over 60 simulated signals using different filters with different orders was developed. It was found that some filters affect the DF calculation and cause a bimodal distribution in the DF histogram. Calculation of DF, OI and RI by Fast Fourier Transform analysis of preprocessing signals has high sensibility to filters settings. OI and RI analysis works properly in EGMwith single potentials, however, DF is not necessary related with cycl
e length in fragmented EGM and OI calculation becomes inaccurate with high DF.
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