Fuzzy-Inspired Photoplethysmography Signal Classification with Bio-Inspired Optimization for Analyzing Cardiovascular Disorders

The main aim of this paper is to optimize the output of diagnosis of Cardiovascular Disorders (CVD) in Photoplethysmography (PPG) signals by utilizing a fuzzy-based approach with classification. The extracted parameters such as Energy, Variance, Approximate Entropy (ApEn), Mean, Standard Deviation (...

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Detalles Bibliográficos
Autores principales: Prabhakar, Sunil Kumar, Rajaguru, Harikumar, Kim, Sun-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600594/
https://www.ncbi.nlm.nih.gov/pubmed/32998452
http://dx.doi.org/10.3390/diagnostics10100763

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600594/
https://www.ncbi.nlm.nih.gov/pubmed/32998452
http://dx.doi.org/10.3390/diagnostics10100763

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