Key result
Automated heart sound segmentation matches finger oxygen monitors for accurate heart rate measurement.
Why the study?
Heart sounds are fleeting and can be imperceptible, creating a need for efficient and accurate heart sound information to assist in predicting and diagnosing heart disease.
Does an automated time label segmentation method accurately measure heart rate compared to a finger oxygen monitor in healthy adults?
Does an automated time label segmentation method accurately measure heart rate compared to a finger oxygen monitor in healthy adults?
Absolute Event Rate: 72.73% vs 72.82%
p-value: p=0.152
An automated AI-based audio analysis tool successfully segmented heart sounds and accurately calculated heart rates comparable to a finger oxygen monitor, providing a foundation for intelligent cardiac auscultation.
May support AI auscultation development; leaves open prospective validation in patients.
Heart sound detection technology plays an important role in the prediction of cardiovascular disease, but the most significant heart sounds are fleeting and may be imperceptible. Hence, obtaining heart sound information in an efficient and accurate manner will be helpful for the prediction and diagnosis of heart disease. To obtain heart sound information, we designed an audio data analysis tool to segment the heart sounds from single heart cycle, and validated the heart rate using a finger oxygen meter. The results from our validated technique could be used to realize heart sound segmentation. Our robust algorithmic platform was able to segment the heart sounds, which could then be compared in terms of their difference from the background. A combination of an electronic stethoscope and artificial intelligence technology was used for the digital collection of heart sounds and the intelligent identification of the first (S1) and second (S2) heart sounds. Our approach can provide an objective basis for the auscultation of heart sounds and visual display of heart sounds and murmurs.
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Li et al. (2024) studied Healthy (n=12). Automated time label segmentation method vs. Finger oxygen monitor was evaluated on Heart rate (p=0.152). An automated time label segmentation method for heart sounds accurately measured heart rate with no significant difference compared to a finger oxygen monitor (72.73 vs 72.82 bpm, p=0.152).
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