Results 271 to 280 of about 8,735,065 (335)

Remote Heart Rate Estimation by Signal Quality Attention Network

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
Heart rate estimation is very important for heart health monitoring. As a non-invasive optical technology, remote photoplethysmography (rPPG) has the advantages of noncontact, portability and low-price.
Hao-Yuan Gao, Xiao-pei Wu, Jidong Geng, Yang Lv   +3 more
semanticscholar   +1 more source

Computer-Estimated Heart Rate vs True Heart Rate—Be Aware of the Software

JAMA Internal Medicine, 2023
This case report describes a patient in their 60s with gastrointestinal bleeding and shock with heart rate overcounting by software indicating severe hyperkalemia.
openaire   +2 more sources

STSR: Spectro-Temporal Super-Resolution Analysis of a Reference Signal Less Photoplethysmogram for Heart Rate Estimation During Physical Activity

IEEE Transactions on Instrumentation and Measurement, 2022
The increasing demand for intelligent, wearable health monitoring devices with a photoplethysmogram (PPG) sensor to monitor real-time heart rate (HR) in a subject attracts great attention from researchers.
.. Pankaj, Ashish Kumar, Manjeet Kumar, Rama Komaragiri   +3 more
semanticscholar   +1 more source

Robust Heart Rate Estimation With Spatial–Temporal Attention Network From Facial Videos

IEEE Transactions on Cognitive and Developmental Systems, 2021
In order to solve the problems of highly redundant spatial information and motion noise in the heart rate (HR) estimation from facial videos based on remote photoplethysmography (rPPG), this article proposes a novel HR estimation method based on spatial ...
Min Hu, F. Qian, Xiaohua Wang, Lei He, Dong Guo, Fuji Ren   +5 more
semanticscholar   +1 more source

Deep Super-Resolution Network for rPPG Information Recovery and Noncontact Heart Rate Estimation

IEEE Transactions on Instrumentation and Measurement, 2021
Remote photoplethysmography (rPPG) enables noncontact heart rate (HR) estimation using facial videos and exhibits significant convenience over traditional contact-based HR measurement approaches. However, its effectiveness depends mainly on the number of
Zi-Jie Yue, Shuai Ding, Shanlin Yang, Hui Yang, Zhi-Li Li, You-Tao Zhang, Ying-Hui Li   +6 more
semanticscholar   +1 more source

PP-Net: A Deep Learning Framework for PPG-Based Blood Pressure and Heart Rate Estimation

IEEE Sensors Journal, 2020
This paper presents a deep learning model ’PP-Net’ which is the first of its kind, having the capability to estimate the physiological parameters: Diastolic blood pressure (DBP), Systolic blood pressure (SBP), and Heart rate (HR) simultaneously from the ...
Madhuri Panwar, A. Gautam, Dwaipayan Biswas, A. Acharyya   +3 more
semanticscholar   +1 more source

Motion-Robust Multimodal Heart Rate Estimation Using BCG Fused Remote-PPG With Deep Facial ROI Tracker and Pose Constrained Kalman Filter

IEEE Transactions on Instrumentation and Measurement, 2021
The heart rate (HR) signal is so weak in remote photoplethysmography (rPPG) and ballistocardiogram (BCG) that HR estimation is very sensitive to face and body motion disturbance caused by spontaneous head and body movements as well as facial expressions ...
Yiming Liu, Binjie Qin, Rong Li, Xin-Tong Li, Anqi Huang, Haifeng Liu, Yisong Lv, Min Liu   +7 more
semanticscholar   +1 more source

An Ingenious Heart Rate Estimation Method in Harmonic Background for FMCW Radar

IEEE transactions on microwave theory and techniques
The practicality of noncontact vital signs monitoring based on frequency-modulated continuous wave (FMCW) radar in fields such as medical care and health services has become increasingly prominent in recent years.
Xuefeng Zhou, Shi-Sheng Guo, Guo-Long Cui, Meiqiu Jiang, Luyuan Shi   +4 more
semanticscholar   +1 more source

rPPG-Based Heart Rate Estimation Using Spatial-Temporal Attention Network

IEEE Transactions on Cognitive and Developmental Systems, 2022
Remote photoplethysmography (rPPG) based on the computer vision technology is widely used to calculate the heart rate (HR) from facial videos. Existing rPPG techniques have been subject to some limitations [e.g., highly redundant spatial information ...
Min Hu, Dong Guo, Ming-Xing Jiang, F. Qian, Xiaohua Wang, Fu-Ji Ren   +5 more
semanticscholar   +1 more source

Channel-Wise Interactive Learning for Remote Heart Rate Estimation From Facial Video

IEEE transactions on circuits and systems for video technology (Print)
Remote photoplethysmography measurement (also called rPPG prediction) is a vision-based technique that allows for the non-contact monitoring of human physiological activity using facial video.
Qi Li, Dan Guo, Wei Qian, Xi-Lan Tian, Xiao Sun, Haifeng Zhao, Meng Wang   +6 more
semanticscholar   +1 more source