Comput Methods Programs Biomed - Automatic heart sound detection in pediatric patients without electrocardiogram reference via pseudo-affine Wigner-Ville distribution and Haar wavelet lifting.

Tópicos

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Resumo

Having in mind the availability of electronic stethoscopes, phonocardiograms (PCGs) have become popular for cardiovascular functionality monitoring and signal processing applications. Detection of fundamental heart sounds (HSs), S1s and S2s, is considered to be a crucial step in PCG analysis. Electrocardiogram (ECG), noted as a reference signal, is often synchronously recorded in order to simplify the S1/S2 detection process. Nevertheless, electronic stethoscopes are frequently used without additional ECG equipment. We propose a new algorithm for automatic fundamental HSs detection via: joint time-frequency representation based on pseudo affine Wigner-Ville distribution (PAWVD), Haar wavelet lifting scheme (Haar-LS), normalized average Shannon energy (NASE) and autocorrelation. The performance of the proposed algorithm was calculated on both normal (50) and pathological (75) PCG recordings, eight seconds long each, contributed by 125 different pediatric patients. The algorithm showed relatively high recall (90.41%) and precision (96.39%) rates of S1/S2 detection procedure in a variety of PCG signals, without ECG as a reference. Furthermore, it indicated the ability to overcome splitting within the S1/S2 heart sounds.

Resumo Limpo

mind avail electron stethoscop phonocardiogram pcgs becom popular cardiovascular function monitor signal process applic detect fundament heart sound hss ss ss consid crucial step pcg analysi electrocardiogram ecg note refer signal often synchron record order simplifi ss detect process nevertheless electron stethoscop frequent use without addit ecg equip propos new algorithm automat fundament hss detect via joint timefrequ represent base pseudo affin wignervill distribut pawvd haar wavelet lift scheme haarl normal averag shannon energi nase autocorrel perform propos algorithm calcul normal patholog pcg record eight second long contribut differ pediatr patient algorithm show relat high recal precis rate ss detect procedur varieti pcg signal without ecg refer furthermor indic abil overcom split within ss heart sound

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