Central Blood Pressure Estimation From Distal PPG Measurement Using Semiclassical Signal Analysis Features

Background and objective: Blood pressure (BP) is one of the crucial indicators that contains valuable medical information about cardiovascular activities. Developing photoplethysmography (PPG)-based cuffless BP estimation algorithms with enough robustness and accuracy is clinically useful in practic...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.44963-44973
Hauptverfasser:	Li, Peihao, Laleg-Kirati, Taous-Meriem
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arteries Blood Blood pressure Blood Pressure (BP) cuffless BP estimation Eigenvalues and eigenfunctions Electrocardiography Estimation Feature extraction Hypertension inappropriate PPG Machine learning Neural networks Performance evaluation photoplethysmography (PPG) Regression analysis Reliability analysis Schrödinger spectrum SCSA feature extraction Signal analysis Statistical analysis
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