Smartphone-Based Screening for Cardiovascular Diseases: A Trend?
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | International Journal of Cardiovascular Sciences (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000100127 |
Resumo: | Abstract Cardiovascular diseases are the leading cause of death in the world. People living in vulnerable and poor places such as slums, rural areas and remote locations have difficulty in accessing medical care and diagnostic tests. In addition, given the COVID-19 pandemic, we are witnessing an increase in the use of telemedicine and non-invasive tools for monitoring vital signs. These questions motivate us to write this point of view and to describe some of the main innovations used for non-invasive screening of heart diseases. Smartphones are widely used by the population and are perfect tools for screening cardiovascular diseases. They are equipped with camera, flashlight, microphone, processor, and internet connection, which allow optical, electrical, and acoustic analysis of cardiovascular phenomena. Thus, when using signal processing and artificial intelligence approaches, smartphones may have predictive power for cardiovascular diseases. Here we present different smartphone approaches to analyze signals obtained from various methods including photoplethysmography, phonocardiograph, and electrocardiography to estimate heart rate, blood pressure, oxygen saturation (SpO2), heart murmurs and electrical conduction. Our objective is to present innovations in non-invasive diagnostics using the smartphone and to reflect on these trending approaches. These could help to improve health access and the screening of cardiovascular diseases for millions of people, particularly those living in needy areas. |
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International Journal of Cardiovascular Sciences (Online) |
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Smartphone-Based Screening for Cardiovascular Diseases: A Trend?Smartphone/trendsArtificial Intelligence/trends, Computers System/trendsCardiovascular Diseases/diagnósticoCOVID-19/diagnósticoDiagnosticImaging/methodsTelemedicineAbstract Cardiovascular diseases are the leading cause of death in the world. People living in vulnerable and poor places such as slums, rural areas and remote locations have difficulty in accessing medical care and diagnostic tests. In addition, given the COVID-19 pandemic, we are witnessing an increase in the use of telemedicine and non-invasive tools for monitoring vital signs. These questions motivate us to write this point of view and to describe some of the main innovations used for non-invasive screening of heart diseases. Smartphones are widely used by the population and are perfect tools for screening cardiovascular diseases. They are equipped with camera, flashlight, microphone, processor, and internet connection, which allow optical, electrical, and acoustic analysis of cardiovascular phenomena. Thus, when using signal processing and artificial intelligence approaches, smartphones may have predictive power for cardiovascular diseases. Here we present different smartphone approaches to analyze signals obtained from various methods including photoplethysmography, phonocardiograph, and electrocardiography to estimate heart rate, blood pressure, oxygen saturation (SpO2), heart murmurs and electrical conduction. Our objective is to present innovations in non-invasive diagnostics using the smartphone and to reflect on these trending approaches. These could help to improve health access and the screening of cardiovascular diseases for millions of people, particularly those living in needy areas.Sociedade Brasileira de Cardiologia2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000100127International Journal of Cardiovascular Sciences v.35 n.1 2022reponame:International Journal of Cardiovascular Sciences (Online)instname:Sociedade Brasileira de Cardiologia (SBC)instacron:SBC10.36660/ijcs.20210096info:eu-repo/semantics/openAccessMazzu-Nascimento,ThiagoEvangelista,Danilo NogueiraAbubakar,ObeeduRoscani,Meliza GoiAguilar,Rodrigo SantosChachá,Silvana Gama FlorêncioRosa,Priscila Raupp daSilva,Diego Furtadoeng2022-02-02T00:00:00Zoai:scielo:S2359-56472022000100127Revistahttp://publicacoes.cardiol.br/portal/ijcshttps://old.scielo.br/oai/scielo-oai.phptailanerodrigues@cardiol.br||revistaijcs@cardiol.br2359-56472359-4802opendoar:2022-02-02T00:00International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)false |
dc.title.none.fl_str_mv |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? |
title |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? |
spellingShingle |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? Mazzu-Nascimento,Thiago Smartphone/trends Artificial Intelligence/trends, Computers System/trends Cardiovascular Diseases/diagnóstico COVID-19/diagnóstico Diagnostic Imaging/methods Telemedicine |
title_short |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? |
title_full |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? |
title_fullStr |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? |
title_full_unstemmed |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? |
title_sort |
Smartphone-Based Screening for Cardiovascular Diseases: A Trend? |
author |
Mazzu-Nascimento,Thiago |
author_facet |
Mazzu-Nascimento,Thiago Evangelista,Danilo Nogueira Abubakar,Obeedu Roscani,Meliza Goi Aguilar,Rodrigo Santos Chachá,Silvana Gama Florêncio Rosa,Priscila Raupp da Silva,Diego Furtado |
author_role |
author |
author2 |
Evangelista,Danilo Nogueira Abubakar,Obeedu Roscani,Meliza Goi Aguilar,Rodrigo Santos Chachá,Silvana Gama Florêncio Rosa,Priscila Raupp da Silva,Diego Furtado |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Mazzu-Nascimento,Thiago Evangelista,Danilo Nogueira Abubakar,Obeedu Roscani,Meliza Goi Aguilar,Rodrigo Santos Chachá,Silvana Gama Florêncio Rosa,Priscila Raupp da Silva,Diego Furtado |
dc.subject.por.fl_str_mv |
Smartphone/trends Artificial Intelligence/trends, Computers System/trends Cardiovascular Diseases/diagnóstico COVID-19/diagnóstico Diagnostic Imaging/methods Telemedicine |
topic |
Smartphone/trends Artificial Intelligence/trends, Computers System/trends Cardiovascular Diseases/diagnóstico COVID-19/diagnóstico Diagnostic Imaging/methods Telemedicine |
description |
Abstract Cardiovascular diseases are the leading cause of death in the world. People living in vulnerable and poor places such as slums, rural areas and remote locations have difficulty in accessing medical care and diagnostic tests. In addition, given the COVID-19 pandemic, we are witnessing an increase in the use of telemedicine and non-invasive tools for monitoring vital signs. These questions motivate us to write this point of view and to describe some of the main innovations used for non-invasive screening of heart diseases. Smartphones are widely used by the population and are perfect tools for screening cardiovascular diseases. They are equipped with camera, flashlight, microphone, processor, and internet connection, which allow optical, electrical, and acoustic analysis of cardiovascular phenomena. Thus, when using signal processing and artificial intelligence approaches, smartphones may have predictive power for cardiovascular diseases. Here we present different smartphone approaches to analyze signals obtained from various methods including photoplethysmography, phonocardiograph, and electrocardiography to estimate heart rate, blood pressure, oxygen saturation (SpO2), heart murmurs and electrical conduction. Our objective is to present innovations in non-invasive diagnostics using the smartphone and to reflect on these trending approaches. These could help to improve health access and the screening of cardiovascular diseases for millions of people, particularly those living in needy areas. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000100127 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000100127 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.36660/ijcs.20210096 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Cardiologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Cardiologia |
dc.source.none.fl_str_mv |
International Journal of Cardiovascular Sciences v.35 n.1 2022 reponame:International Journal of Cardiovascular Sciences (Online) instname:Sociedade Brasileira de Cardiologia (SBC) instacron:SBC |
instname_str |
Sociedade Brasileira de Cardiologia (SBC) |
instacron_str |
SBC |
institution |
SBC |
reponame_str |
International Journal of Cardiovascular Sciences (Online) |
collection |
International Journal of Cardiovascular Sciences (Online) |
repository.name.fl_str_mv |
International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC) |
repository.mail.fl_str_mv |
tailanerodrigues@cardiol.br||revistaijcs@cardiol.br |
_version_ |
1754732627501252608 |