A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring
Author:
Funder
Qatar University
Sultan Qaboos University
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-021-02447-2.pdf
Reference112 articles.
1. Coronel R (2001) Defining heart failure. Cardiovasc Res 50:419–422. https://doi.org/10.1016/S0008-6363(01)00284-X
2. Inamdar A, Inamdar A (2016) Heart failure: diagnosis, management and utilization. JCM 5:62. https://doi.org/10.3390/jcm5070062
3. Tan L-B, Williams SG, Tan DKH, Cohen-Solal A (2010) So many definitions of heart failure: are they all universally valid? A critical appraisal. Expert Rev Cardiovasc Ther 8:217–228. https://doi.org/10.1586/erc.09.187
4. Ponikowski P, Anker SD, AlHabib KF et al (2014) Heart failure: preventing disease and death worldwide. ESC Heart Fail 1:4–25. https://doi.org/10.1002/ehf2.12005
5. Karanasiou GS, Tripoliti EE, Papadopoulos TG et al (2016) Predicting adherence of patients with HF through machine learning techniques. Healthcare Technology Letters 3:165–170. https://doi.org/10.1049/htl.2016.0041
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