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Monitoring of cardiovascular activity is highly desired and can enable novel applications in diagnosing potential cardiovascular diseases and maintaining an individual's well-being. Currently, such vital signs are measured using intrusive…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Mayank Gupta , Lingjun Chen , Denny Yu , Vaneet Aggarwal

Purpose: Intra-operative measurement of tissue oxygen saturation (StO2) is important in the detection of ischemia, monitoring perfusion and identifying disease. Hyperspectral imaging (HSI) measures the optical reflectance spectrum of the…

Computer Vision and Pattern Recognition · Computer Science 2019-05-20 Qingbiao Li , Jianyu Lin , Neil T. Clancy , Daniel S. Elson

Non-contact video-based physiological measurement has many applications in health care and human-computer interaction. Practical applications require measurements to be accurate even in the presence of large head rotations. We propose the…

Computer Vision and Pattern Recognition · Computer Science 2018-08-09 Weixuan Chen , Daniel McDuff

Blood pressure (BP) monitoring is vital in daily healthcare, especially for cardiovascular diseases. However, BP values are mainly acquired through the contact sensing method, which is inconvenient and unfriendly to continuous BP…

Image and Video Processing · Electrical Eng. & Systems 2022-06-24 Jialiang Zhuang , Bin Li , Yun Zhang , Yuheng Chen , Xiujuan Zheng

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…

Computer Vision and Pattern Recognition · Computer Science 2015-03-25 Mayank Kumar , Ashok Veeraraghavan , Ashutosh Sabharval

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…

Computers and Society · Computer Science 2021-09-23 Ambareesh Revanur , Zhihua Li , Umur A. Ciftci , Lijun Yin , Laszlo A. Jeni

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…

Computer Vision and Pattern Recognition · Computer Science 2021-05-21 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin Bowyer , Adam Czajka

Over the last decade, smartphones have changed radically to support us with mHealth technology, cloud computing, and machine learning algorithm. Having its multifaceted facilities, we present a novel smartphone-based noninvasive hemoglobin…

Image and Video Processing · Electrical Eng. & Systems 2019-10-08 Md Kamrul Hasan , Nazmus Sakib , Joshua Field , Richard R. Love , Sheikh I. Ahamed

Utilizing mobile phone cameras for continuous blood pressure (BP) monitoring presents a cost-effective and accessible approach, yet it is challenged by limitations in accuracy and interpretability. This study introduces four innovative…

Signal Processing · Electrical Eng. & Systems 2024-07-25 Ivan Liu , Fangyuan Liu , Qi Zhong , Shiguang Ni

Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Lu Niu , Jeremy Speth , Nathan Vance , Benjamin Sporrer , Adam Czajka , Patrick Flynn

Blood oxygen saturation (SpO2) is a vital marker for healthcare monitoring. Traditional SpO2 estimation methods often rely on complex clinical calibration, making them unsuitable for low-power, wearable applications. In this paper, we…

Signal Processing · Electrical Eng. & Systems 2026-01-12 Zequan Liang , Ruoyu Zhang , Wei Shao , krishna Karthik , Ehsan Kourkchi , Setareh Rafatirad , Houman Homayoun

We contrast high effectiveness of state of the art deep learning architectures designed for general audio classification tasks, refined for respiratory insufficiency (RI) detection and blood oxygen saturation (SpO$_2$) estimation and…

Today's diagnostics include devices such as pulse oximeters, blood pressure monitors, and temperature measurements. These devices provide vital information to medical personnel when making treatment decisions. Drawing inspiration from the…

Image and Video Processing · Electrical Eng. & Systems 2022-08-26 Akhil Kallepalli , David B James , Mark A Richardson

Video photoplethysmography (vPPG) is an emerging method for non-invasive and convenient measurement of physiological signals, utilizing two primary approaches: remote video PPG (rPPG) and contact video PPG (cPPG). Monitoring vitals in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Ke Liu , Jiankai Tang , Zhang Jiang , Yuntao Wang , Xiaojing Liu , Dong Li , Yuanchun Shi

With a surge in online medical advising remote monitoring of patient vitals is required. This can be facilitated with the Remote Photoplethysmography (rPPG) techniques that compute vital signs from facial videos. It involves processing…

Artificial Intelligence · Computer Science 2022-08-23 Amtul Haq Ayesha , Donghao Qiao , Farhana Zulkernine

In post-covid19 world, radio frequency (RF)-based non-contact methods, e.g., software-defined radios (SDR)-based methods have emerged as promising candidates for intelligent remote sensing of human vitals, and could help in containment of…

Signal Processing · Electrical Eng. & Systems 2022-12-13 Kawish Pervez , Waqas Aman , M. Mahboob Ur Rahman , M. Wasim Nawaz , Qammer H. Abbasi

Subtle periodic signals, such as blood volume pulse and respiration, can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Jeremy Speth , Nathan Vance , Patrick Flynn , Adam Czajka

With the increase in health consciousness, noninvasive body monitoring has aroused interest among researchers. As one of the most important pieces of physiological information, researchers have remotely estimated the heart rate (HR) from…

Computer Vision and Pattern Recognition · Computer Science 2022-12-29 Ying Qiu , Yang Liu , Juan Arteaga-Falconi , Haiwei Dong , Abdulmotaleb El Saddik

Sleep apnea (SA) is a chronic sleep-related disorder consisting of repetitive pauses or restrictions in airflow during sleep and is known to be a risk factor for cerebro- and cardiovascular disease. It is generally diagnosed using…

Significance: 2D fully convolutional neural networks have been shown capable of producing maps of sO$_2$ from 2D simulated images of simple tissue models. However, their potential to produce accurate estimates in vivo is uncertain as they…

Medical Physics · Physics 2020-05-05 Ciaran Bench , Andreas Hauptmann , Ben Cox