Publications by authors named "Yueqi Lian"
Article Synopsis
- Imaging photoplethysmography (iPPG) is a non-invasive technology used to measure health-related physiological parameters, but it often struggles with noise interference affecting pulse signal quality.
- The study introduces a novel spatial averaging method that uses adaptive weights on specific facial regions to improve the pulse signal quality.
- Results demonstrate that this new method outperforms existing techniques in delivering clearer pulse signals, enhancing the accuracy of measuring essential parameters like heart rate.
Background: The imaging photoplethysmography (iPPG) method is a non-invasive, non-contact measurement method that uses a camera to detect physiological indicators. On the other hand, wearing a mask has become essential today when COVID-19 is rampant, which has become a new challenge for heart rate (HR) estimation from facial videos recorded by a camera.
Objective: The aim is to propose an iPPG-based method that can accurately estimate HR with or without a mask.