Cuff-Less Blood Pressure Prediction from ECG and PPG Signals Using Fourier Transformation and Amplitude Randomization Preprocessing for Context Aggregation Network Training

This research proposes an algorithm to preprocess photoplethysmography (PPG) and electrocardiogram (ECG) signals and apply the processed signals to the context aggregation network-based deep learning to achieve higher accuracy of continuous systolic and diastolic blood pressure monitoring than other...

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Detalles Bibliográficos
Autores principales: Treebupachatsakul, Treesukon, Boosamalee, Apivitch, Shinnakerdchoke, Siratchakrit, Pechprasarn, Suejit, Thongpance, Nuntachai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946486/
https://www.ncbi.nlm.nih.gov/pubmed/35323429
http://dx.doi.org/10.3390/bios12030159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946486/
https://www.ncbi.nlm.nih.gov/pubmed/35323429
http://dx.doi.org/10.3390/bios12030159

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