Motion-robust respiratory rate estimation from camera videos via fusing pixel movement and pixel intensity information

J Cheng, R Liu, J Li, R Song, Y Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, noncontact monitoring of respiratory rate (RR) based on consumer-level cameras
has gained increasing attention. However, motion artifacts with large amplitudes usually …

Algorithmic insights of camera-based respiratory motion extraction

W Wang, AC den Brinker - Physiological measurement, 2022 - iopscience.iop.org
Objective. Measuring the respiratory signal from a video based on body motion has been
proposed and recently matured in products for contactless health monitoring. The core …

Internet of health things driven deep learning-based system for non-invasive patient discomfort detection using time frame rules and pairwise keypoints distance …

I Ahmed, D Camacho, G Jeon, F Piccialli - Sustainable Cities and Society, 2022 - Elsevier
Nowadays, digitization has opened up various possibilities in the healthcare sector. Smart
healthcare is becoming a field of remarkable transformations and growth in the new era of …

Non-contact human respiratory rate measurement based on two-level fusions of video and fmcw radar information

R Song, C Ren, J Cheng, C Li, X Yang - Measurement, 2023 - Elsevier
In this paper, we propose a robust respiratory rate (RR) measurement method using a two-
level fusion of video and FMCW (frequency modulated continuous wave) radar information …

CalibrationPhys: Self-supervised Video-based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras

Y Akamatsu, T Umematsu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Video-based heart and respiratory rate measurements using facial videos are more useful
and user-friendly than traditional contact-based sensors. However, most of the current deep …

Non-contact respiration measurement method based on RGB camera using 1D convolutional neural networks

HS Hwang, EC Lee - Sensors, 2021 - mdpi.com
Conventional respiration measurement requires a separate device and/or can cause
discomfort, so it is difficult to perform routinely, even for patients with respiratory diseases …

[HTML][HTML] Predicting respiration rate in unrestrained dairy cows using image analysis and Fast Fourier Transform

RR Mantovani, GL Menezes, JRR Dórea - JDS communications, 2024 - Elsevier
Respiratory rate (RR) is commonly employed for identifying animals experiencing heat-
stress conditions and respiratory diseases. Recent advancements in computer vision …

Revisiting motion-based respiration measurement from videos

Q Zhan, J Hu, Z Yu, X Li, W Wang - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Video-based motion analysis gave rise to contactless respiration rate monitoring that
measures subtle respiratory movement from a human chest or belly. In this paper, we revisit …

A real-time remote respiration measurement method with improved robustness based on a CNN model

H Hwang, K Lee, EC Lee - Applied Sciences, 2022 - mdpi.com
Human respiration reflects meaningful information, such as one's health and psychological
state. Rates of respiration are an important indicator in medicine because they are directly …

Camera-Based Respiratory Imaging for Intelligent Rehabilitation Assessment of Thoracic Surgery Patients

D Huang, X Tao, Y Huang, Y Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Camera-based respiration monitoring is currently focused on the continuous measurement
of respiratory rate, overlooking its potential in lung health assessment. Inspired by …