Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature Review

Informatics

Sandro José Rigo¹  Lídia Martins da Silva¹  Ivo Sérgio Guimarães Brites¹  Jorge Luis Victória Barbosa¹  Sérgio Duarte Correia²  Valderi Reis Quietinho Leithardt² 

[1] Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, São Leopoldo 93022-750, RS, Brazil;COPELABS, Universidade Lusófona de Humanidades e Tecnologias, 1749-024 Lisboa, Portugal;

关键词: machine learning;    IoT;    ubiquitous computing;    wearables;    cardiovascular diseases;   

DOI  :  10.3390/informatics8040073

来源: DOAJ

【 摘 要 】

This article presents a systematic mapping study dedicated to conduct a literature review on machine learning and IoT applied in the identification of diseases through heart sounds. This research was conducted between January 2010 and July 2021, considering IEEE Xplore, PubMed Central, ACM Digital Library, JMIR—Journal of Medical Internet Research, Springer Library, and Science Direct. The initial search resulted in 4372 papers, and after applying the inclusion and exclusion criteria, 58 papers were selected for full reading to answer the research questions. The main results are: of the 58 articles selected, 46 (79.31%) mention heart rate observation methods with wearable sensors and digital stethoscopes, and 34 (58.62%) mention care with machine learning algorithms. The analysis of the studies based on the bibliometric network generated by the VOSviewer showed in 13 studies (22.41%) a trend related to the use of intelligent services in the prediction of diagnoses related to cardiovascular disorders.

【 授权许可】

Unknown