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相关论文: Respiratory Rate Estimation from Face Videos

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Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG) obtained from contact sensors. Recent studies have shown…

计算机视觉与模式识别 · 计算机科学 2024-11-28 Zhaodong Sun , Xiaobai Li , Jukka Komulainen , Guoying Zhao

Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of non-invasively estimating blood volume variations in the…

计算机与社会 · 计算机科学 2021-09-23 Ambareesh Revanur , Zhihua Li , Umur A. Ciftci , Lijun Yin , Laszlo A. Jeni

Heart rate recovery (HRR) within the initial minute following exercise is a widely utilized metric for assessing cardiac autonomic function in individuals and predicting mortality risk in patients with cardiovascular disease. However,…

信号处理 · 电气工程与系统科学 2025-03-31 Ziheng Mao , Yuan He , Jia Zhang , Yimiao Sun , Yadong Xie , Xiuzhen Guo

Heart rate (HR) and heart rate variability (HRV) are important vital signs for human physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sensors can infer HR and HRV. However, it is difficult to find…

信号处理 · 电气工程与系统科学 2025-05-27 Jingye Xu , Yuntong Zhang , Wei Wang , Mimi Xie , Dakai Zhu

Extracting the instantaneous heart rate (iHR) from face videos has been well studied in recent years. It is well known that changes in skin color due to blood flow can be captured using conventional cameras. One of the main limitations of…

计算机视觉与模式识别 · 计算机科学 2019-02-15 Natalia Martinez , Martin Bertran , Guillermo Sapiro , Hau-Tieng Wu

Remote photoplethysmography (rPPG) is an attractive camera-based health monitoring method that can measure the heart rhythm from facial videos. Many well-established deep-learning models have been reported to measure heart rate (HR) and…

计算机视觉与模式识别 · 计算机科学 2022-12-22 Jialiang Zhuang , Yuheng Chen , Yun Zhang , Xiujuan Zheng

Heart rate is a physiological signal that provides information about an individual's health and affective state. Remote photoplethysmography (rPPG) allows the estimation of this signal from video recordings of a person's face. Classical…

机器学习 · 计算机科学 2025-03-18 Bhargav Acharya , William Saakyan , Barbara Hammer , Hanna Drimalla

Remote camera measurement of the blood volume pulse via photoplethysmography (rPPG) is a compelling technology for scalable, low-cost, and accessible assessment of cardiovascular information. Neural networks currently provide the…

图像与视频处理 · 电气工程与系统科学 2024-03-19 Björn Braun , Daniel McDuff , Christian Holz

The monitoring of vital signs such as heart rate (HR) and respiratory rate (RR) during sleep is important for the assessment of sleep quality and detection of sleep disorders. Camera-based HR and RR monitoring gained popularity in sleep…

信号处理 · 电气工程与系统科学 2024-01-18 Yingen Zhu , Jia Huang , Hongzhou Lu , Wenjin Wang

Remote heart rate estimation is the measurement of heart rate without any physical contact with the subject and is accomplished using remote photoplethysmography (rPPG) in this work. rPPG signals are usually collected using a video camera…

计算机视觉与模式识别 · 计算机科学 2020-07-15 Eugene Lee , Evan Chen , Chen-Yi Lee

Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras. The COVID-19…

计算机视觉与模式识别 · 计算机科学 2021-05-21 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin Bowyer , Adam Czajka

Objective: Non-contact physiological measurement is a growing research area that allows capturing vital signs such as heart rate (HR) and breathing rate (BR) comfortably and unobtrusively with remote devices. However, most of the approaches…

计算机视觉与模式识别 · 计算机科学 2018-11-21 Weixuan Chen , Javier Hernandez , Rosalind W. Picard

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and poor adherence to current methods of monitoring blood…

计算机视觉与模式识别 · 计算机科学 2025-03-04 Theodore Curran , Chengqian Ma , Xin Liu , Daniel McDuff , Girish Narayanswamy , George Stergiou , Shwetak Patel , Eugene Yang

Non-contact estimation of respiratory pattern (RP) and respiration rate (RR) has multiple applications. Existing methods for RP and RR measurement fall into one of the three categories - (i) estimation through nasal air flow measurement,…

计算机视觉与模式识别 · 计算机科学 2017-04-26 A. P. Prathosh , Pragathi Praveena , Lalit K. Mestha , Sanjay Bharadwaj

We propose a novel heart rate (HR) estimation method from facial videos that dynamically adapts the HR pulse extraction algorithm to separately deal with noise from 'rigid' head motion and 'non-rigid' facial expression. We first identify…

信号处理 · 电气工程与系统科学 2019-05-30 Utkarsh Sharma , Terumi Umematsu , Masanori Tsujikawa , Yoshifumi Onishi

Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the peripheral blood volume pulse (BVP) via photoplethysmography, and…

计算机视觉与模式识别 · 计算机科学 2023-11-28 Xin Liu , Girish Narayanswamy , Akshay Paruchuri , Xiaoyu Zhang , Jiankai Tang , Yuzhe Zhang , Soumyadip Sengupta , Shwetak Patel , Yuntao Wang , Daniel McDuff

The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring. In this work we propose a new approach to remote photoplethysmography (rPPG) - the measurement of blood volume…

计算机视觉与模式识别 · 计算机科学 2021-11-19 John Gideon , Simon Stent

Vital signs such as pulse rate and breathing rate are currently measured using contact probes. But, non-contact methods for measuring vital signs are desirable both in hospital settings (e.g. in NICU) and for ubiquitous in-situ health…

计算机视觉与模式识别 · 计算机科学 2015-03-25 Mayank Kumar , Ashok Veeraraghavan , Ashutosh Sabharval

Remote photoplethysmography (rPPG) offers a promising solution for non-contact driver monitoring by detecting subtle blood flow-induced facial color changes from video. However, motion artifacts in dynamic driving environments remain key…

图像与视频处理 · 电气工程与系统科学 2025-09-09 Đorđe D. Nešković , Kristina Stojmenova Pečečnik , Jaka Sodnik , Nadica Miljković

Video-based respiratory rate (RR) estimation is often unreliable due to inconsistent signal quality across extraction methods. We present a predictive, quality-aware framework that integrates heterogeneous signal sources with dynamic…

计算机视觉与模式识别 · 计算机科学 2025-12-17 Nhi Nguyen , Constantino Álvarez Casado , Le Nguyen , Manuel Lage Cañellas , Miguel Bordallo López