Deep learning methods for remote heart rate measurement: A review and future research agenda
Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of
the human body. While traditional HR monitors usually require contact with skin, remote …
the human body. While traditional HR monitors usually require contact with skin, remote …
Remote photoplethysmography for heart rate measurement: A review
H Xiao, T Liu, Y Sun, Y Li, S Zhao, A Avolio - Biomedical Signal Processing …, 2024 - Elsevier
Heart rate (HR) ranks among the most critical physiological indicators in the human body,
significantly illuminating an individual's state of physical health. Distinguished from …
significantly illuminating an individual's state of physical health. Distinguished from …
Analysis of vital signs using remote photoplethysmography (RPPG)
In health care applications, an evolution of electronics has made drastic advancements.
There are some problems created due to this advancement. To estimate the coronary heart …
There are some problems created due to this advancement. To estimate the coronary heart …
Remote estimation of pulse wave features related to arterial stiffness and blood pressure using a camera
D Djeldjli, F Bousefsaf, C Maaoui… - … Signal Processing and …, 2021 - Elsevier
Recent technological advances in the field of sensors, signal processing and image
processing favor the development of new techniques for vital parameters monitoring such as …
processing favor the development of new techniques for vital parameters monitoring such as …
A non-invasive continuous cuffless blood pressure estimation using dynamic recurrent neural networks
Cardiovascular diseases (CVD) have become the most important health problem of our time.
High blood pressure, which is cardiovascular disease, is a risk factor for death, stroke, and …
High blood pressure, which is cardiovascular disease, is a risk factor for death, stroke, and …
A neonatal dataset and benchmark for non-contact neonatal heart rate monitoring based on spatio-temporal neural networks
The digital revolution of noncontact physiological signal monitoring in clinical and home
health care is underway, and deep learning techniques are incredibly popular. Camera …
health care is underway, and deep learning techniques are incredibly popular. Camera …
[HTML][HTML] Multi-level information fusion for learning a blood pressure predictive model using sensor data
The availability of commercial wearable bio-sensors provides an opportunity for developing
smart phone applications for real-time diagnosis that can be used to improve the health of …
smart phone applications for real-time diagnosis that can be used to improve the health of …
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors
Photoplethysmographic Imaging (PPGI) allows the determination of pulse rate variability
from sequential beat-to-beat intervals (BBI) and pulse wave velocity from spatially resolved …
from sequential beat-to-beat intervals (BBI) and pulse wave velocity from spatially resolved …
A facial-image-based blood pressure measurement system without calibration
Blood pressure (BP) is a major vital sign that is highly correlated with human health.
However, for decades BP measurement has involved a cuff, which can be uncomfortable …
However, for decades BP measurement has involved a cuff, which can be uncomfortable …
Smartphones and video cameras: future methods for blood pressure measurement
Regular blood pressure (BP) monitoring enables earlier detection of hypertension and
reduces cardiovascular disease. Cuff-based BP measurements require equipment that is …
reduces cardiovascular disease. Cuff-based BP measurements require equipment that is …