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Artificial Intelligence in Medicine:Real Time Electronic Stethoscope for Heart Diseases Detection

Computers, Materials & Continua 2022年第2期70卷 2815-2833页

作者： Batyrkhan Omarov Nurbek Saparkhojayev Shyrynkyz Shekerbekova Oxana Akhmetova Meruert Sakypbekova guldina kamalova Zhanna Alimzhanova Lyailya Tukenova Zhadyra Akanova Al-Farabi Kazakh National University AlmatyKazakhstan Khoja Akhmet Yassawi International Kazakh-Turkish University TurkistanKazakhstan Abai Kazakh National Pedagogical University Kazakhstan NARXOZ University AlmatyKazakhstan

Diseases of the cardiovascular system are one of the major causes of death *** diseases could be quickly detected by changes in the sound created by the action of the *** dynamic auscultations need extensive professional knowledge and emphasis on listening *** is also an unmet requirement for a compact cardiac condition early warning *** this paper,we propose a prototype of a digital stethoscopic system for the diagnosis of cardiac abnormalities in real time using machine learning *** system consists of three subsystems that interact with each other(1)a portable digital subsystem of an electronic stethoscope,(2)a decision-making subsystem,and(3)a subsystemfor displaying and visualizing the results in an understandable *** electronic stethoscope captures the patient’s phonocardiographic sounds,filters and digitizes them,and then sends the resulting phonocardiographic sounds to the decision-making *** decision-making systemclassifies sounds into normal and abnormal using machine learning techniques,and as a result identifies abnormal heart *** display and visualization subsystem demonstrates the results obtained in an understandable way not only for medical staff,but also for patients and recommends further actions to *** a result of the study,we obtained an electronic stethoscope that can diagnose cardiac abnormalities with an accuracy of more than 90%.More accurately,the proposed stethoscope can identify normal heart sounds with 93.5%accuracy,abnormal heart sounds with 93.25%***,speed is the key benefit of the proposed stethoscope as 15 s is adequate for examination.

关键词： Stethoscope phonocardiogram machine learning classification heart diseases PCG

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