Publications by authors named "SunChol Hong"
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.
A New Framework for Robust Heart Rate Measurement Based on the Head Motion State Estimation.
IEEE J Biomed Health Inform
September 2021
It is of great significance in managing human health, preventing and curing diseases such as heart disease to measure and monitor the physiological parameters accurately and robustly. However, imaging photoplethysmography (iPPG) can be easily affected by the ambient illumination variations or the subject's motions. In this paper, therefore, a novel framework of heart rate (HR) measurement robust to both illumination and motion artefacts is proposed, which combines the projection-plane-switching-based iPPG method (2PS) with the singular spectrum analysis (SSA).
View Article and Find Full Text PDFSignificance: The measurement of human vital signs based on photoplethysmography imaging (PPGI) can be severely affected by the interference of various factors in the measurement process; therefore, a lot of complex signal processing techniques are used to remove the influence of the interference.
Aim: We comprehensively analyze several methods for color channel combination in the color spaces currently used in PPGI and determine the combination method that can improve the quality of the pulse signal, which results in a modified plane-orthogonal-to-skin based method (POS).
Approach: Based on the analysis of the previous studies, 13 methods for color channel combination in the different color spaces, which can be seen as having potential abilities in measuring vital signs, were compared by employing the average value of signal-to-noise ratio (SNR) and the box-plot in the public databases UBFC-RPPG and PURE.
Background And Objective: The imaging photoplethysmography method is a non-contact and non-invasive measurement method that usually uses surrounding illumination as an illuminant, which can be easily influenced by the surrounding illumination variations. Thus, it has a practical value to develop an efficient method of heart rate measurement that can remove the interference of illumination variations robustly.
Method: We propose a novel framework of heart rate measurement that is robust to illumination variations by combining singular spectrum analysis and sub-band method.