Video-based heart rate measurement: Recent advances and future prospects
Heart rate (HR) estimation and monitoring is of great importance to determine a person's
physiological and mental status. Recently, it has been demonstrated that HR can be …
physiological and mental status. Recently, it has been demonstrated that HR can be …
A review of deep learning-based contactless heart rate measurement methods
The interest in contactless or remote heart rate measurement has been steadily growing in
healthcare and sports applications. Contactless methods involve the utilization of a video …
healthcare and sports applications. Contactless methods involve the utilization of a video …
Heart rate estimation using facial video: A review
Photoplethysmography and Ballistocardiography are two concepts that are used to measure
heart rate from human, by using facial videos. Heart rate estimation is essential to determine …
heart rate from human, by using facial videos. Heart rate estimation is essential to determine …
3D convolutional neural networks for remote pulse rate measurement and map** from facial video
Remote pulse rate measurement from facial video has gained particular attention over the
last few years. Research exhibits significant advancements and demonstrates that common …
last few years. Research exhibits significant advancements and demonstrates that common …
Remote monitoring of vital signs in diverse non-clinical and clinical scenarios using computer vision systems: A review
Techniques for noncontact measurement of vital signs using camera imaging technologies
have been attracting increasing attention. For noncontact physiological assessments …
have been attracting increasing attention. For noncontact physiological assessments …
The obf database: A large face video database for remote physiological signal measurement and atrial fibrillation detection
Physiological signals, including heart rate (HR), heart rate variability (HRV), and respiratory
frequency (RF) are important indicators of our health, which are usually measured in clinical …
frequency (RF) are important indicators of our health, which are usually measured in clinical …
Autotriage-an open source edge computing raspberry pi-based clinical screening system
With the recent COVID-19 pandemic, healthcare systems all over the world are struggling to
manage the massive increase in emergency department (ED) visits. This has put an …
manage the massive increase in emergency department (ED) visits. This has put an …
Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos
Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …
the clinical process. Such recognition tasks are usually accomplished on visual data …
Deep multimodal pain recognition: a database and comparison of spatio-temporal visual modalities
Pain is a symptom of many disorders associated with actual or potential tissue damage in
human body. Managing pain is not only a duty but also highly cost prone. The most primitive …
human body. Managing pain is not only a duty but also highly cost prone. The most primitive …
A semi‐active human digital twin model for detecting severity of carotid stenoses from head vibration—A coupled computational mechanics and computer vision …
In this work, we propose a methodology to detect the severity of carotid stenosis from a video
of a human face with the help of a coupled blood flow and head vibration model. This semi …
of a human face with the help of a coupled blood flow and head vibration model. This semi …