How nonlinear-type time-frequency analysis can help in sensing instantaneous heart rate and instantaneous respiratory rate from photoplethysmography in a reliable …
Despite the population of the noninvasive, economic, comfortable, and easy-to-install
photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable …
photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable …
[PDF][PDF] How mathematics can help in sensing instantaneous physiological information from photoplethysmography in a fast and reliable way
Despite the population of the noninvasive, economic, comfortable, and easy-to-install
photoplethysmography (PPG) sensor, a mathematically rigorous and stable algorithm to …
photoplethysmography (PPG) sensor, a mathematically rigorous and stable algorithm to …
Sparse semi-supervised heterogeneous interbattery bayesian analysis
C Sevilla-Salcedo, V Gómez-Verdejo… - arXiv preprint arXiv …, 2020 - arxiv.org
The Bayesian approach to feature extraction, known as factor analysis (FA), has been widely
studied in machine learning to obtain a latent representation of the data. An adequate …
studied in machine learning to obtain a latent representation of the data. An adequate …
Determination of Absolute Heart Beat from Photoplethysmographic Signals in the Presence of Motion Artifacts
VR Karna, N Kumar - 2018 Second International Conference …, 2018 - ieeexplore.ieee.org
In Wireless Body Area Networks (WBANs), accurate monitoring of heart rate (HR) using
Photoplethysmography (PPG) signals is always a difficult task, especially when the subjects …
Photoplethysmography (PPG) signals is always a difficult task, especially when the subjects …