REAL -TIME DETECTION OF CARDIAC PATHOLOGIES USING AN INTELLIGENT DIGITAL STETHOSCOPE

2025

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DOI 10.51889/2959-5894.2026.93.1.015
Data confidence 70 medium
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Abstract

The paper analyzes how the demands of the medical industry and technological advancements have combined to drive significant innovation in diagnostic tools over the past few years.This study aims to present the development and validation of a real-time digital stethoscope capable of detecting cardiovascular abnormalities from phonocardiograms.The proposed CNN–BiLSTM architecture allows for efficient extraction of spatial and temporal features from spectrograms of cardiac signals. This approach provides accurate signal classification and improves the quality of diagnosis. In addition to accurately recording heart sounds, the device simultaneously analyzes acoustic characteristics to detect possible conditions. This is accomplished using modern signal processing methods. Early testing in a cohort of 200 patients validated the clinical potential of this approach, demonstrating 94.5% diagnostic accuracy in distinguishing between pathological and normal cardiac murmurs.This reduces delays associated with manualinterpretation and facilitates timely treatment. Given that it would make vital cardiac diagnostics accessible, the device is likely to be most useful in areas with limited resources. The device can be applied in various clinical settings. The results demonstrate the importance of digital technology in integrating conventional medical equipment, opening the door to a new era of high-quality, easily accessible patient care.