Advanced technologies, notably camera-based systems using remote photoplethysmography (rPPG), are increasingly used in automotive safety to non-invasively monitor driver well-being and fatigue by measuring physiological metrics like heart and respiration
Soha G. Ahmed +5 more
doaj +1 more source
A deep learning approach for remote heart rate estimation
openaire +1 more source
Remote Heart Rate Estimation Based on 3D Facial Landmarks
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
Remote heart rate estimation by evaluating measurements from multiple signals
Heart rate can say a lot about a person's health. While most conventional methods for heart rate measurement require contact with the subject, these are not always applicable. In this thesis, a non-invasive method for pulse detection is implemented and analyzed.
openaire +1 more source
Assessing the Expected Costs of Continuous Remote Monitoring for Post-Discharge Home Use and the Readmission Reduction Required to Achieve Cost Neutrality. [PDF]
Larsen AT +5 more
europepmc +1 more source
Adaptive physiology-informed correction for reliable remote photoplethysmography heart-rate monitoring. [PDF]
Tian Y, Li S, Zhu Y, Elgendi M, Lam EY.
europepmc +1 more source
Noncontact Visualization of Respiration and Vital Sign Monitoring Using a Single Mid-Wave Infrared Thermal Camera: Preliminary Proof-of-Concept. [PDF]
Suzuki T.
europepmc +1 more source
Spatial-Spectral-Temporal Fusion for Remote Heart Rate Estimation
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
Machine Learning in Adapted Physical Activity: Clinical Applications, Monitoring, and Implementation Pathways for Personalized Exercise in Chronic Conditions: A Narrative Review. [PDF]
Greco G +4 more
europepmc +1 more source
Advanced signal-processing framework for remote photoplethysmography-based heart rate measurement: Integrating adaptive Kalman filtering with discrete wavelet transformation. [PDF]
Debnath U, Kim S.
europepmc +1 more source

