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Much of the information of breathing is contained within the photoplethysmography (PPG) signal, through changes in venous blood flow, heart rate and stroke volume. We aim to leverage this fact, by employing a novel deep learning framework…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Harry J. Davies , Danilo P. Mandic

Significance: A path is described to increase the sensitivity and accuracy of body-worn devices used to monitor patient health. This path supports improved health management. A wavelength-choice algorithm developed at Mayo demonstrates that…

Applied Physics · Physics 2023-01-10 Barry K. Gilbert , Clifton R. Haider , Daniel J. Schwab , Gary S. Delp

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

Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised methods for rPPG measurements have been shown to achieve good…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Zhaodong Sun , Xiaobai Li

Coronary microvascular dysfunction (CMD), characterized by impaired regulation of blood flow in the coronary microcirculation, plays a key role in the pathogenesis of ischemic heart disease and is increasingly recognized as a contributor to…

Computational Engineering, Finance, and Science · Computer Science 2025-12-25 Haizhou Yang , Jiyang Zhang , Brahmajee K. Nallamothu , Krishna Garikipati , C. Alberto Figueroa

Uncertainty quantification (UQ) is critical for safety-critical domains like healthcare, yet it is rarely evaluated under realistic out-of-distribution (OOD) conditions. Here, we assessed predictive performance and uncertainty reliability…

Machine Learning · Computer Science 2026-05-19 Mohammad Moulaeifard , Ciaran Bench , Philip J. Aston , Nils Strodthoff

Photoplethysmography (PPG) devices are widely used for monitoring cardiovascular function. However, these devices require skin contact, which restrict their use to at-rest short-term monitoring using single-point measurements.…

Heart failure is a debilitating condition that affects millions of people worldwide and has a significant impact on their quality of life and mortality rates. An objective assessment of cardiac pressures remains an important method for the…

Machine Learning · Computer Science 2023-09-12 Hyewon Jeong , Collin M. Stultz , Marzyeh Ghassemi

Photoplethysmography (PPG) signals encode information about relative changes in blood volume that can be used to assess various aspects of cardiac health non-invasively, e.g.\ to detect atrial fibrillation (AF) or predict blood pressure…

Machine Learning · Computer Science 2025-05-19 Ciaran Bench , Vivek Desai , Mohammad Moulaeifard , Nils Strodthoff , Philip Aston , Andrew Thompson

Diabetes is a prevalent chronic condition that compromises the health of millions of people worldwide. Minimally invasive methods are needed to prevent and control diabetes but most devices for measuring glucose levels are invasive and not…

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

Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site Physiological Monitoring (MSPM) dataset, which is the first dataset collected to support the study of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Jeremy Speth , Nathan Vance , Benjamin Sporrer , Lu Niu , Patrick Flynn , Adam Czajka

Despite the population of the noninvasive, economic, comfortable, and easy-to-install photoplethysmography (PPG), it is still lacking a mathematically rigorous and stable algorithm which is able to simultaneously extract from a…

Neurons and Cognition · Quantitative Biology 2017-09-05 Antonio Cicone , Hau-Tieng Wu

Pulmonary Hypertension (PH) is a severe disease characterized by an elevated pulmonary artery pressure. The gold standard for PH diagnosis is measurement of mean Pulmonary Artery Pressure (mPAP) during an invasive Right Heart…

Image and Video Processing · Electrical Eng. & Systems 2023-12-25 Michal K. Grzeszczyk , Tadeusz Satlawa , Angela Lungu , Andrew Swift , Andrew Narracott , Rod Hose , Tomasz Trzcinski , Arkadiusz Sitek

Anemia is a prevalent hematological disorder that requires frequent hemoglobin monitoring for early diagnosis and effective management. Conventional hemoglobin assessment relies on invasive blood sampling, limiting its suitability for…

Computers and Society · Computer Science 2026-02-20 Garima Sahu , Poorva Verma , Nachiket Tapas

In the first half of the 20th century, a first pulse oximeter was available to measure blood flow changes in the peripheral vascular net. However, it was not until recent times the PhotoPlethysmoGraphic (PPG) signal used to monitor many…

Signal Processing · Electrical Eng. & Systems 2020-12-21 Javier de Pedro-Carracedo , David Fuentes-Jimenez , Ana M. Ugena , Ana P. Gonzalez-Marcos

Blood Pressure (BP) and Heart Rate (HR) provide information on clin-ical condition along 24h. Both signals present circadian changes due to sympa-thetic/parasympathetic control system that influence the relationship between them. Moreover,…

Signal Processing · Electrical Eng. & Systems 2020-11-24 Giulia Silveri , Lorenzo Pascazio , Milos Ajcevic , Aleksandar Miladinovic , Agostino Accardo

Stress has emerged as a critical global health issue, contributing to cardiovascular disorders, depression, and several other long-term illnesses. Consequently, accurate and reliable stress monitoring systems are of growing importance. In…

Signal Processing · Electrical Eng. & Systems 2025-09-03 Md. Mohibbul Haque Chowdhury , Nafisa Anjum , Md. Rokonuzzaman Mim

BPClip is an ultra-low-cost cuffless blood pressure monitor. As a universal smartphone attachment, BPClip leverages the computational imaging power of smartphones to perform oscillometry based blood pressure measurements. This paper…

Signal Processing · Electrical Eng. & Systems 2023-08-14 Yinan Xuan , Ava J. Fascetti , Colin Barry , Edward J. Wang

Photoplethysmography (PPG) is widely used as a non-invasive and accessible modality for continuous health monitoring. However, despite being a peripheral hemodynamic signal intrinsically coupled with systemic circulation, existing research…

Signal Processing · Electrical Eng. & Systems 2026-03-20 Guangkun Nie , Xiaocheng Fang , Gongzheng Tang , Yujie Xiao , Jun Li , Bo Liu , Hongyan Li , Shenda Hong
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