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Wireless laptop-based phonocardiograph and diagnosis
Auscultation is used to evaluate heart health, and can indicate when it’s needed to refer a patient to a cardiologist. Advanced phonocardiograph (PCG) signal processing algorithms are developed to assist the physician in the initial diagnosis but they are primarily designed and demonstrated with res...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558084/ https://www.ncbi.nlm.nih.gov/pubmed/26339555 http://dx.doi.org/10.7717/peerj.1178 |
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author | Dao, Amy T. |
author_facet | Dao, Amy T. |
author_sort | Dao, Amy T. |
collection | PubMed |
description | Auscultation is used to evaluate heart health, and can indicate when it’s needed to refer a patient to a cardiologist. Advanced phonocardiograph (PCG) signal processing algorithms are developed to assist the physician in the initial diagnosis but they are primarily designed and demonstrated with research quality equipment. Therefore, there is a need to demonstrate the applicability of those techniques with consumer grade instrument. Furthermore, routine monitoring would benefit from a wireless PCG sensor that allows continuous monitoring of cardiac signals of patients in physical activity, e.g., treadmill or weight exercise. In this work, a low-cost portable and wireless healthcare monitoring system based on PCG signal is implemented to validate and evaluate the most advanced algorithms. Off-the-shelf electronics and a notebook PC are used with MATLAB codes to record and analyze PCG signals which are collected with a notebook computer in tethered and wireless mode. Physiological parameters based on the S1 and S2 signals and MATLAB codes are demonstrated. While the prototype is based on MATLAB, the later is not an absolute requirement. |
format | Online Article Text |
id | pubmed-4558084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45580842015-09-03 Wireless laptop-based phonocardiograph and diagnosis Dao, Amy T. PeerJ Bioengineering Auscultation is used to evaluate heart health, and can indicate when it’s needed to refer a patient to a cardiologist. Advanced phonocardiograph (PCG) signal processing algorithms are developed to assist the physician in the initial diagnosis but they are primarily designed and demonstrated with research quality equipment. Therefore, there is a need to demonstrate the applicability of those techniques with consumer grade instrument. Furthermore, routine monitoring would benefit from a wireless PCG sensor that allows continuous monitoring of cardiac signals of patients in physical activity, e.g., treadmill or weight exercise. In this work, a low-cost portable and wireless healthcare monitoring system based on PCG signal is implemented to validate and evaluate the most advanced algorithms. Off-the-shelf electronics and a notebook PC are used with MATLAB codes to record and analyze PCG signals which are collected with a notebook computer in tethered and wireless mode. Physiological parameters based on the S1 and S2 signals and MATLAB codes are demonstrated. While the prototype is based on MATLAB, the later is not an absolute requirement. PeerJ Inc. 2015-08-11 /pmc/articles/PMC4558084/ /pubmed/26339555 http://dx.doi.org/10.7717/peerj.1178 Text en © 2015 Dao http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioengineering Dao, Amy T. Wireless laptop-based phonocardiograph and diagnosis |
title | Wireless laptop-based phonocardiograph and diagnosis |
title_full | Wireless laptop-based phonocardiograph and diagnosis |
title_fullStr | Wireless laptop-based phonocardiograph and diagnosis |
title_full_unstemmed | Wireless laptop-based phonocardiograph and diagnosis |
title_short | Wireless laptop-based phonocardiograph and diagnosis |
title_sort | wireless laptop-based phonocardiograph and diagnosis |
topic | Bioengineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558084/ https://www.ncbi.nlm.nih.gov/pubmed/26339555 http://dx.doi.org/10.7717/peerj.1178 |
work_keys_str_mv | AT daoamyt wirelesslaptopbasedphonocardiographanddiagnosis |