Heart Sound Classification using the Nonlinear Dynamic Feature Approach along with Conventional Classifiers
نویسندگان
چکیده
Heart sounds show chaotic and complex behavior when murmurs are present, containing nonlinear non-Gaussian information. This paper studies ways to extract features from dynamic models. The frequently used describe the underlying dynamics of heart derived dynamical modeling sound signals. study incorporates alongside conventional classifiers in analysis phonocardiograms (PCGs), achieving a significant improvement classification performance with 0.90 sensitivity 0.92 specificity.
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ژورنال
عنوان ژورنال: Engineering, Technology & Applied Science Research
سال: 2023
ISSN: ['1792-8036', '2241-4487']
DOI: https://doi.org/10.48084/etasr.5873