A proposed algorithm for analysing heart sounds and calculating their time intervals

• Autorzy: Eesee Abdulrahman K. , Qassim Hassan M. , Aziz Mothanna Sh.

Identyfikatory

DOI

10.1515/bams-2019-0057

• Języki publikacji: EN

Abstrakty

EN

Heart sounds play a crucial role in the clinical assessment of patients. Stethoscopes are used for detecting heart sounds and diagnosing potential abnormal conditions. However, several parameters of the cardiac sounds cannot be extracted by traditional stethoscopes. This paper presents a proposed algorithm based on peaks detection. Besides its ability of filtering the heart sounds signals, the time intervals of these sounds in addition to the heart rate were calculated by the proposed algorithm in an efficient way. Signals of the heart sounds from two sources were used to evaluate the efficiency of the algorithm. The first source was the data recorded from 14 participants, whereas the second source was the free data set sponsored by PASCAL. The algorithm showed different performance accuracy for detecting the main heart sounds based on the source of the data used in the study. The accuracy was 93.6% when using the data recorded from the first source, whereas it was 76.194% for the data of the second source.

Słowa kluczowe

EN

auscultation; heartbeat; heart sounds time intervals; lubb dubb; phonocardiogram; PCG; stethoscope

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2020
• Tom: Vol. 16, no. 1
• Strony: art. no. 20190057
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Eesee Abdulrahman K.

• Technical Engineering College, Northern Technical University, Mosul, Iraq

autor

Qassim Hassan M.

• University Presidency, Northern Technical University, Mosul, Iraq

autor

Aziz Mothanna Sh.

• Technical Engineering College, Northern Technical University, Mosul, Iraq

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).