Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under three evaluation cases

Comparison of seven shallow and deep regressors in continuous blood pressure and heart rate estimation using single-channel photoplethysmograms under three evaluation cases

Our objective is to compare seven blood pressure (BP) and heart rate (HR) estimation models based on shallow and deep regressors using single-channel photoplethysmograms (PPGs) under three evaluation cases. Non-invasive, cuffless, continuous, and simultaneous estimation of systolic BP, diastolic BP,...

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Bibliographic Details
Main Authors: Hoshino, T. (Author), Kamei, S. (Author), Kanoga, S. (Author), Kobayashi, T. (Author), Ohmori, T. (Author), Tada, M. (Author), Uchiyama, M. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2023
Subjects:
adult
article
Blood
blood pressure
Blood pressure
controlled study
deep learning
Deep learning
diastolic blood pressure
Estimation models
female
health status
Heart
heart rate
Heart rate
Heart-rate
human
machine learning
Machine learning
Machine-learning
major clinical study
male
photoelectric plethysmography
Photoplethysmogram
PPG
Rate estimation
runner
Single channels
Statistical tests
systolic blood pressure
Testing data
Training and testing
Training data
transfer of learning
Well testing
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