Authors:
Diego García
;
César Sánchez
and
Raúl Alcaraz
Affiliation:
University of Castilla-La Mancha, Spain
Keyword(s):
Sudden cardiac death, Signal processing, Electrocardiogram, Frequency analysis.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
Sudden Cardiac Death (SCD) is a disease that may not only affect patients with cardiovascular pathologies, but also to apparently healthy patients. Thereby, identification of patients with a high potential of suffering SCD is crucial for their treatment with adequate therapies. To this respect, in the present work, different signal processing tools were applied to surface electrocardiographic (ECG) recordings to develop markers which can clearly differentiate between subjects without cardiovascular pathologies and patients who died of SCD. Precisely, the proposed indexes were the Spectral Concentration (SC) around the main frequency peak, which reached a sensitivity of 100.00% and a specificity of 88.89%, and the Mean Frequency Distance (MFD) between the first spectral peaks, which provided a sensitivity of 95.00% and a specificity of 100.00%.