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Found 6 papers, 5 papers with code
A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings
Smart rings offer a convenient way to continuously and unobtrusively monitor cardiovascular physiological signals.
Memory-efficient Low-latency Remote Photoplethysmography through Temporal-Spatial State Space Duality
Remote photoplethysmography (rPPG), enabling non-contact physiological monitoring through facial light reflection analysis, faces critical computational bottlenecks as deep learning introduces performance gains at the cost of prohibitive resource demands.
A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography
Remote photoplethysmography (rPPG) extracts PPG signals from subtle color changes in facial videos, showing strong potential for health applications.
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Additionally, the power consumption of the transformer block is reduced by a factor of 12. 2, while maintaining decent performance as PhysFormer and other ANN-based models.
ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models
Our findings reveal that LLMs exhibit exceptional performance in determining medical indicators, including a Mean Absolute Error (MAE) of less than 1 beat per minute for heart rate and less than 1% for oxygen saturation (SpO2).
Camera-Based HRV Prediction for Remote Learning Environments
In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing.
