Beyond auscultation - acoustic cardiography in the diagnosis and assessment of cardiac disease

doi:10.4414/smw.2008.12308

Cited by 18 publications

(2 citation statements)

References 63 publications

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“…FCG sensors are small, lightweight, nonobstructive, and wearable, therefore they are particularly suitable for a long-term monitoring, which could lead to much more accurate and early diagnosis of various heart diseases [ 74 , 75 , 76 , 77 ]. Furthermore, specific cardiac diseases manifest with pronounced S3 and S4 sounds and murmurs.…”

Section: Discussionmentioning

confidence: 99%

Accurate Localization of First and Second Heart Sounds via Template Matching in Forcecardiography Signals

Centracchio,

Parlato,

Esposito

et al. 2024

Sensors

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Cardiac auscultation is an essential part of physical examination and plays a key role in the early diagnosis of many cardiovascular diseases. The analysis of phonocardiography (PCG) recordings is generally based on the recognition of the main heart sounds, i.e., S1 and S2, which is not a trivial task. This study proposes a method for an accurate recognition and localization of heart sounds in Forcecardiography (FCG) recordings. FCG is a novel technique able to measure subsonic vibrations and sounds via small force sensors placed onto a subject’s thorax, allowing continuous cardio-respiratory monitoring. In this study, a template-matching technique based on normalized cross-correlation was used to automatically recognize heart sounds in FCG signals recorded from six healthy subjects at rest. Distinct templates were manually selected from each FCG recording and used to separately localize S1 and S2 sounds, as well as S1–S2 pairs. A simultaneously recorded electrocardiography (ECG) trace was used for performance evaluation. The results show that the template matching approach proved capable of separately classifying S1 and S2 sounds in more than 96% of all heartbeats. Linear regression, correlation, and Bland–Altman analyses showed that inter-beat intervals were estimated with high accuracy. Indeed, the estimation error was confined within 10 ms, with negligible impact on heart rate estimation. Heart rate variability (HRV) indices were also computed and turned out to be almost comparable with those obtained from ECG. The preliminary yet encouraging results of this study suggest that the template matching approach based on normalized cross-correlation allows very accurate heart sounds localization and inter-beat intervals estimation.

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Section: Discussionmentioning

confidence: 99%

Accurate Localization of First and Second Heart Sounds via Template Matching in Forcecardiography Signals

Centracchio,

Parlato,

Esposito

et al. 2024

Sensors

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show abstract

“…Acoustic cardiography (ACG) is a new non-invasive cardiac monitoring technique that combines the features of traditional phonocardiography (PCG) and electrocardiography (ECG). It is capable of accurately identifying and analyzing different types of heart sounds, heart murmurs, and prosthetic valve sounds, and assessing the overall functional status of the heart by monitoring changes in left heart function [1].…”

Section: Introductionmentioning

confidence: 99%

The application of novel digital intelligent device in the assessment of cardiac function in patients with arrhythmia

Xu,

Fan,

Zhan

2024

BIO Web Conf.

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Acoustic electrocardiography (ACG) is a new non-invasive test that combines the visualization of traditional ECG waveforms and heart-generated sound waveforms to jointly assess cardiac function and cardiac pathology. However, traditional ACG equipment is limited by technology and suffers from problems such as inconvenience and inaccuracy. In recent years, with the development of artificial intelligence technology, some newly developed wearable single-lead ACG devices have appeared, which have applications in the fields of heart failure and coronary heart disease. In order to further clarify the efficacy of this new ACG device for cardiac function assessment in irregular ECG and heart sound waveforms, this study will be validated in patients with arrhythmia, ROC curves show better evaluation of EMAT and EMAT% for HFrEF.

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Audicor Remote Patient Monitoring

Fudim¹,

Mirro²,

Cheng³

2022

JACC: Basic to Translational Science

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Beyond auscultation - acoustic cardiography in the diagnosis and assessment of cardiac disease

Cited by 18 publications

References 63 publications

Accurate Localization of First and Second Heart Sounds via Template Matching in Forcecardiography Signals

Accurate Localization of First and Second Heart Sounds via Template Matching in Forcecardiography Signals

The application of novel digital intelligent device in the assessment of cardiac function in patients with arrhythmia

Audicor Remote Patient Monitoring

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