This study aimed to investigate the application of label propagation techniques to propagate
labels among photoplethysmogram (PPG) signals, particularly in imbalanced class …

Over the past few years, there has been increased interest in photoplethysmography (PPG)
technology, which has revealed that, in addition to heart rate and oxygen saturation, the …

Label noise is omnipresent in the annotations process and has an impact on supervised
learning algorithms. This work focuses on the impact of label noise on the performance of …

This study investigates artifact detection in clinical photoplethysmogram signals using
Transformer-based models. Recent findings have shown that in detecting artifacts from the …

Photoplethysmography (PPG) is gradually becoming popular tool for cardiovascular and
respiratory function monitoring under ambulatory condition. However, these measurements …

Photoplethysmography (PPG) is a convenient as well as a simple method to detect the
change in blood volume level. It is recently in wide use for noninvasive measurement using …

In this work, we describe a novel method based on waveform morphology for detecting
artifacts in photoplethysmography (PPG) signals and, thus, improve reliability of PPG. By …

Objective: The photoplethysmography (PPG) signal, commonly used in the healthcare
settings, is easily affected by movement artefact leading to errors in the extracted heart rate …

Wearable devices are widespread for continuous health monitoring; capturing various
physiological parameters for remote health monitoring and early detection of health issues …

Photoplethysmography (PPG) is used to measure blood volume changes in the
microvascular bed of tissue. Information about these changes along time can be used for …