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Accurately predicting the criticalness of ICU patients (such as in-ICU mortality risk) is vital for early intervention in critical care. However, conventional models often treat each patient in isolation and struggle to exploit the…

Machine Learning · Computer Science 2025-08-04 Mukesh Kumar Sahu , Pinki Roy

In many longitudinal studies, a large number of variables are measured repeatedly over time, with substantial missing data. Existing methods, such as probabilistic principal component analysis (PPCA), are ill-equipped to handle such…

Methodology · Statistics 2026-04-27 Xinyu Zhang , Ameer Qaqish , D. Y. Lin , Didong Li

Mortality prediction in intensive care units is considered one of the critical steps for efficiently treating patients in serious condition. As a result, various prediction models have been developed to address this problem based on modern…

Machine Learning · Computer Science 2020-12-15 Huachuan Wang , Yuanfei Bi

Active feedback control in magnetic confinement fusion devices is desirable to mitigate plasma instabilities and enable robust operation. Optical high-speed cameras provide a powerful, non-invasive diagnostic and can be suitable for these…

Sepsis, characterized by a dysregulated immune response to infection, results in significant mortality, morbidity, and healthcare costs. The timely prediction of sepsis progression is crucial for reducing adverse outcomes through early…

Machine Learning · Computer Science 2026-01-01 Alireza Rafiei , Farshid Hajati , Alireza Rezaee , Amirhossien Panahi , Shahadat Uddin

Heart failure (HF) is one of the most prevalent life-threatening cardiovascular diseases in which 6.5 million people are suffering in the USA and more than 23 million worldwide. Mechanical circulatory support of HF patients can be achieved…

Machine Learning · Computer Science 2023-01-20 Masoud Fetanat , Michael Stevens , Pankaj Jain , Christopher Hayward , Erik Meijering , Nigel H. Lovell

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for approximately 17.9 million deaths each year. Early detection is critical, creating a demand for accurate and inexpensive pre-screening methods. Deep…

Sound · Computer Science 2025-12-09 Milan Marocchi , Matthew Fynn , Kayapanda Mandana , Yue Rong

In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmographic (PPG) to detect heart rate (HR) and respiration rate (RR).…

Image and Video Processing · Electrical Eng. & Systems 2021-06-08 Jafar Pourbemany , Almabrok Essa , Ye Zhu

Continuous monitoring of heart rate variability (HRV) provides insights in cardiovascular health. Wearable Photoplethysmography (PPG) assures convenient measurement of HRV. PPG, however, is susceptible to motion artifacts, considerably…

Signal Processing · Electrical Eng. & Systems 2024-04-17 Luffina C. Huang

Recent biosignal foundation models (FMs) have demonstrated promising performance across diverse clinical prediction tasks, yet systematic evaluation on long-duration multimodal data remains limited. We introduce SignalMC-MED, a benchmark…

Machine Learning · Computer Science 2026-03-11 Fredrik K. Gustafsson , Xiao Gu , Mattia Carletti , Patitapaban Palo , David W. Eyre , David A. Clifton

Photoplethysmography (PPG) sensor in wearable and clinical devices provides valuable physiological insights in a non-invasive and real-time fashion. Specialized Foundation Models (FM) or repurposed time-series FMs are used to benchmark…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Saurabh Kataria , Ayca Ermis , Lovely Yeswanth Panchumarthi , Minxiao Wang , Xiao Hu

Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the…

Machine Learning · Computer Science 2019-02-14 Benjamin Shickel , Tyler J. Loftus , Lasith Adhikari , Tezcan Ozrazgat-Baslanti , Azra Bihorac , Parisa Rashidi

The vast majority of cardiovascular diseases may be preventable if early signs and risk factors are detected. Cardiovascular monitoring with body-worn sensor devices like sensor patches allows for the detection of such signs while…

Pulmonary hypertension (PH) in newborns and infants is a complex condition associated with several pulmonary, cardiac, and systemic diseases contributing to morbidity and mortality. Therefore, accurate and early detection of PH is crucial…

Image and Video Processing · Electrical Eng. & Systems 2022-03-25 Hanna Ragnarsdottir , Laura Manduchi , Holger Michel , Fabian Laumer , Sven Wellmann , Ece Ozkan , Julia Vogt

Cardiovascular diseases (CVDs) represent significant global health challenges today, necessitating regular and reliable monitoring to enable early intervention. Phonocardiogram (PCG) signals present a promising non-invasive method for…

Signal Processing · Electrical Eng. & Systems 2026-05-25 Abdul Ahad Mamun , Utsab Saha , Md Hasibul Hasan , Shahed Ahmed , MD Jahin Alam

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the brain parenchyma. ICU readmission in ICH patients is a critical outcome, reflecting both clinical severity and resource utilization. Accurate…

Machine Learning · Computer Science 2025-01-03 Shuheng Chen , Junyi Fan , Armin Abdollahi , Negin Ashrafi , Kamiar Alaei , Greg Placencia , Maryam Pishgar

Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from facial videos which gives significant convenience compared with traditional contact-based measurements. In the real-world long-term health monitoring…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Jianwei Li , Zitong Yu , Jingang Shi

Blood pressure (BP) is a key indicator of cardiovascular health. As hypertension remains a global cause of morbidity and mortality, accurate, continuous, and non-invasive BP monitoring is therefore of paramount importance.…

Signal Processing · Electrical Eng. & Systems 2025-10-20 Bálint Tóth , Dominik Senti , Thorir Mar Ingolfsson , Jeffrey Zweidler , Alexandre Elsig , Luca Benini , Yawei Li

Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. ECG sensing is non-invasive and relatively easy to acquire,…

Nowadays, hospitals are ubiquitous and integral to modern society. Patients flow in and out of a veritable whirlwind of paperwork, consultations, and potential inpatient admissions, through an abstracted system that is not without flaws.…

Artificial Intelligence · Computer Science 2016-09-21 Hugh Chen , Yusuf Erol , Eric Shen , Stuart Russell