Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications

The signal quality limits the applicability of phonocardiography at the patients’ domicile. This work proposes the signal-to-noise ratio of the recorded signal as its main quality metrics. Moreover, we define the minimum acceptable values of the signal-to-noise ratio that warrantee an accuracy of th...

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Autores principales:	Noemi Giordano, Samanta Rosati, Marco Knaflitz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	phonocardiography signal-to-noise ratio heart failure heart valve timing automated quality assessment telemonitoring Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/7995e434af804c6e992f4bb44ea27190
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spelling	oai:doaj.org-article:7995e434af804c6e992f4bb44ea271902021-11-11T19:12:52ZAutomated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications10.3390/s212172461424-8220https://doaj.org/article/7995e434af804c6e992f4bb44ea271902021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7246https://doaj.org/toc/1424-8220The signal quality limits the applicability of phonocardiography at the patients’ domicile. This work proposes the signal-to-noise ratio of the recorded signal as its main quality metrics. Moreover, we define the minimum acceptable values of the signal-to-noise ratio that warrantee an accuracy of the derived parameters acceptable in clinics. We considered 25 original heart sounds recordings, which we corrupted by adding noise to decrease their signal-to-noise ratio. We found that a signal-to-noise ratio equal to or higher than 14 dB warrants an uncertainty of the estimate of the valve closure latencies below 1 ms. This accuracy is higher than that required by most clinical applications. We validated the proposed method against a public database, obtaining results comparable to those obtained on our sample population. In conclusion, we defined (a) the signal-to-noise ratio of the phonocardiographic signal as the preferred metric to evaluate its quality and (b) the minimum values of the signal-to-noise ratio required to obtain an uncertainty of the latency of heart sound components compatible with clinical applications. We believe these results are crucial for the development of home monitoring systems aimed at preventing acute episodes of heart failure and that can be safely operated by naïve users.Noemi GiordanoSamanta RosatiMarco KnaflitzMDPI AGarticlephonocardiographysignal-to-noise ratioheart failureheart valve timingautomated quality assessmenttelemonitoringChemical technologyTP1-1185ENSensors, Vol 21, Iss 7246, p 7246 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	phonocardiography signal-to-noise ratio heart failure heart valve timing automated quality assessment telemonitoring Chemical technology TP1-1185
spellingShingle	phonocardiography signal-to-noise ratio heart failure heart valve timing automated quality assessment telemonitoring Chemical technology TP1-1185 Noemi Giordano Samanta Rosati Marco Knaflitz Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications
description	The signal quality limits the applicability of phonocardiography at the patients’ domicile. This work proposes the signal-to-noise ratio of the recorded signal as its main quality metrics. Moreover, we define the minimum acceptable values of the signal-to-noise ratio that warrantee an accuracy of the derived parameters acceptable in clinics. We considered 25 original heart sounds recordings, which we corrupted by adding noise to decrease their signal-to-noise ratio. We found that a signal-to-noise ratio equal to or higher than 14 dB warrants an uncertainty of the estimate of the valve closure latencies below 1 ms. This accuracy is higher than that required by most clinical applications. We validated the proposed method against a public database, obtaining results comparable to those obtained on our sample population. In conclusion, we defined (a) the signal-to-noise ratio of the phonocardiographic signal as the preferred metric to evaluate its quality and (b) the minimum values of the signal-to-noise ratio required to obtain an uncertainty of the latency of heart sound components compatible with clinical applications. We believe these results are crucial for the development of home monitoring systems aimed at preventing acute episodes of heart failure and that can be safely operated by naïve users.
format	article
author	Noemi Giordano Samanta Rosati Marco Knaflitz
author_facet	Noemi Giordano Samanta Rosati Marco Knaflitz
author_sort	Noemi Giordano
title	Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications
title_short	Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications
title_full	Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications
title_fullStr	Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications
title_full_unstemmed	Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications
title_sort	automated assessment of the quality of phonocardographic recordings through signal-to-noise ratio for home monitoring applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7995e434af804c6e992f4bb44ea27190
work_keys_str_mv	AT noemigiordano automatedassessmentofthequalityofphonocardographicrecordingsthroughsignaltonoiseratioforhomemonitoringapplications AT samantarosati automatedassessmentofthequalityofphonocardographicrecordingsthroughsignaltonoiseratioforhomemonitoringapplications AT marcoknaflitz automatedassessmentofthequalityofphonocardographicrecordingsthroughsignaltonoiseratioforhomemonitoringapplications
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Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications

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