Challenges and prospects of visual contactless physiological monitoring in clinical study
The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …
an indispensable approach for assessing physiological status and diagnosing diseases …
Machine learning in radar-based physiological signals sensing: a scoping review of the models, datasets and metrics
In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …
often proposed as a possible alternative to traditional contact devices. The ability to extract …
Contactless blood oxygen estimation from face videos: A multi-model fusion method based on deep learning
Abstract Blood Oxygen (SpO 2), a key indicator of respiratory function, has received
increasing attention during the COVID-19 pandemic. Clinical results show that patients with …
increasing attention during the COVID-19 pandemic. Clinical results show that patients with …
Contactless Blood Oxygen Saturation Estimation from Facial Videos Using Deep Learning
Blood oxygen saturation (SpO2) is an essential physiological parameter for evaluating a
person's health. While conventional SpO2 measurement devices like pulse oximeters …
person's health. While conventional SpO2 measurement devices like pulse oximeters …
Lightweight and interpretable convolutional neural network for real-time heart rate monitoring using low-cost video camera under realistic conditions
Y Liu, X Guo, Y Zhang - Biomedical Signal Processing and Control, 2024 - Elsevier
Recent research has shown that a person's heart rate (HR) can be estimated using video
data through remote photoplethysmography (rPPG). However, this approach is faced with …
data through remote photoplethysmography (rPPG). However, this approach is faced with …
Internet of Things and Machine Learning for Smart Healthcare
The digitization of patient data by health services has marked a significant milestone in
enhancing patient care. The next frontier in precision healthcare is seamlessly integrating …
enhancing patient care. The next frontier in precision healthcare is seamlessly integrating …
Contactless SpO2 Detection from Face Using Consumer Camera
We describe a novel computational framework for contactless oxygen saturation (SpO 2)
detection using videos recorded from human faces using smartphone cameras with ambient …
detection using videos recorded from human faces using smartphone cameras with ambient …
Remote physiological signal recovery with efficient spatio-temporal modeling
B Zou, Y Zhao, X Hu, C He, T Yang - Frontiers in Physiology, 2024 - frontiersin.org
Contactless physiological signal measurement has great applications in various fields, such
as affective computing and health monitoring. Physiological measurements based on …
as affective computing and health monitoring. Physiological measurements based on …
Adaptive-weight network for imaging photoplethysmography signal extraction and heart rate estimation
H Liu, Y Ding, M Zhou, Q Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, imaging photoplethysmography (IPPG), a noncontact heart rate (HR)
measurement based on face video, has attracted extensive attention. However, due to …
measurement based on face video, has attracted extensive attention. However, due to …
Non-contact blood pressure detection based on weighted ensemble learning model
W Chen, D Zhai, H Wu, Z Luo, F Liu, Y Fu… - Signal, Image and Video …, 2024 - Springer
This paper proposes a non-contact method for measuring blood pressure using imaging
photoplethysmography (IPPG) based on weighted ensemble learning model. The method …
photoplethysmography (IPPG) based on weighted ensemble learning model. The method …