Multimodal large language models (MLLMs) are designed to process and integrate
information from multiple sources such as text speech images and videos. Despite its …

Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological
signals from facial videos, holding great potential in various applications such as healthcare …

The rPPG technology is a facial video-based non-contact physiological parameter detection
technology, which has been widely used in the measurement of heart rate, respiration, blood …

Objective. In previous studies, the factors affecting the accuracy of imaging
photoplethysmography (iPPG) heart rate (HR) measurement have been focused on the light …

Camera-based respiration monitoring is currently focused on the continuous measurement
of respiratory rate, overlooking its potential in lung health assessment. Inspired by …

Camera-based photoplethysmographic imaging enabled the segmentation of living-skin
tissues in a video, but it has inherent limitations to be used in real-life applications such as …

Oxygen saturation (SpO2) is a vital parameter in clinical practice. Clinical research suggests
that SpO2 may significantly decrease in patients with lung infections before evident …

Video-based remote photoplethysmography (rPPG) has emerged as a promising technology
for non-contact vital sign monitoring, especially under controlled conditions. However, the …

Vital signs are crucial for assessing the condition of a patient and detecting early symptom
deterioration. Noncontact sensor technology has been developed to take vital …

Remote photoplethysmography (rPPG) is an effective technique for non-contact estimation
of vital signs using video-based detection of exposed skin. It enables contactless healthcare …