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Electroencephalography (EEG) is a valuable clinical tool for grading injury caused by lack of blood and oxygen to the brain during birth. This study presents a novel end-to-end architecture, using a deep convolutional neural network, that…

信号处理 · 电气工程与系统科学 2020-05-13 Sumit A. Raurale , Geraldine B. Boylan , Gordon Lightbody , John M. O'Toole

The progression of deep learning and the widespread adoption of sensors have facilitated automatic multi-view fusion (MVF) about the cardiovascular system (CVS) signals. However, prevalent MVF model architecture often amalgamates CVS…

机器学习 · 计算机科学 2024-06-14 Qihan Hu , Daomiao Wang , Hong Wu , Jian Liu , Cuiwei Yang

Objective Accurate identification of hypoxic-ischemic brain injury in the early neonatal period is essential for initiating therapeutic hypothermia (TH) within 6 hours of birth to optimize neurodevelopmental outcomes. We aimed to develop a…

神经元与认知 · 定量生物学 2025-11-19 Marc Fiammante , Anne-Isabelle Vermersch , Marie Vidailhet , Mario Chavez

Continuous and noninvasive monitoring of blood pressure has numerous clinical and fitness applications. Current methods of continuous measurement of blood pressure are either invasive and/or require expensive equipment. Therefore, we…

信号处理 · 电气工程与系统科学 2018-11-16 Armin Soltan Zadi , Raichel Alex , Rong Zhang , Donald E. Watenpaugh , Khosrow Behbehani

Remote photoplethysmography (rPPG) enables contact free monitoring of vital signs and is especially valuable for neonates, since conventional methods often require sustained skin contact with adhesive probes that can irritate fragile skin…

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many other parameters are required. Several invasive and…

Subject-specific modeling is a powerful tool in cardiovascular research, providing insights beyond the reach of current clinical diagnostics. Limitations in available clinical data require the incorporation of uncertainty into models to…

应用统计 · 统计学 2025-07-16 Amirreza Kachabi , Sofia Altieri Correa , Naomi C. Chesler , Mitchel J. Colebank

This report introduces VitalLens 2.0, a new deep learning model for estimating physiological signals from face video. This new model demonstrates a significant leap in accuracy for remote photoplethysmography (rPPG), enabling the robust…

计算机视觉与模式识别 · 计算机科学 2025-11-03 Philipp V. Rouast

Digital stethoscopes in combination with telehealth allow chest sounds to be easily collected and transmitted for remote monitoring and diagnosis. Chest sounds contain important information about a newborn's cardio-respiratory health.…

Hypertension is commonly referred to as the "silent killer", since it can lead to severe health complications without any visible symptoms. Early detection of hypertension is crucial in preventing significant health issues. Although some…

信号处理 · 电气工程与系统科学 2023-08-07 Navid Hasanzadeh , Shahrokh Valaee , Hojjat Salehinejad

Quantitative evaluation of echocardiography is essential for precise assessment of cardiac condition, monitoring disease progression, and guiding treatment decisions. The diverse nature of echo images, including variations in probe types,…

计算机视觉与模式识别 · 计算机科学 2024-10-28 Abdoul Aziz Amadou , Yue Zhang , Sebastien Piat , Paul Klein , Ingo Schmuecking , Tiziano Passerini , Puneet Sharma

Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbidity and mortality worldwide. Identifying those at highest risk of deterioration would allow more effective distribution of preventative and surveillance resources.…

计算机视觉与模式识别 · 计算机科学 2019-05-29 David Chettrit , Orna Bregman Amitai , Itamar Tamir , Amir Bar , Eldad Elnekave

Hypertensive disorders of pregnancy occur in about 10% of pregnant women around the world. Though there is evidence that hypertension impacts maternal cardiac functions, the relation between hypertension and cardiac dysfunctions is only…

统计方法学 · 统计学 2026-02-03 Beatrice Franzolini , Antonio Lijoi , Igor Prünster

Pulmonary embolism (PE) and deep vein thrombosis (DVT) are gathered in venous thromboembolism (VTE) and represent the third cause of cardiovascular diseases. Recent studies suggest that meteorological parameters as atmospheric pressure,…

The generation of virtual populations (VPs) of anatomy is essential for conducting in silico trials of medical devices. Typically, the generated VP should capture sufficient variability while remaining plausible and should reflect the…

图像与视频处理 · 电气工程与系统科学 2023-07-31 Haoran Dou , Nishant Ravikumar , Alejandro F. Frangi

Regular blood pressure (BP) monitoring in clinical and ambulatory settings plays a crucial role in the prevention, diagnosis, treatment, and management of cardiovascular diseases. Recently, the widespread adoption of ambulatory BP…

医学物理 · 物理学 2023-12-19 Seyedeh Somayyeh Mousavi , Matthew A. Reyna , Gari D. Clifford , Reza Sameni

Echocardiography is a vital non-invasive modality for cardiac assessment, with left ventricular ejection fraction (LVEF) serving as a key indicator of heart function. Existing LVEF estimation methods depend on large-scale annotated video…

计算机视觉与模式识别 · 计算机科学 2025-09-23 Yao Du , Jiarong Guo , Xiaomeng Li

Echocardiography image quality assessment is not a trivial issue in transthoracic examination. As the in vivo examination of heart structures gained prominence in cardiac diagnosis, it has been affirmed that accurate diagnosis of the left…

图像与视频处理 · 电气工程与系统科学 2022-09-05 Robert B. Labs , Massoud Zolgharni , Jonathan P. Loo

While echocardiography and MRI are clinical standards for evaluating cardiac structure, their use is limited by cost and accessibility.We introduce a direct classification framework that predicts severe left ventricular hypertrophy from…

图像与视频处理 · 电气工程与系统科学 2025-06-05 Basudha Pal , Rama Chellappa , Muhammad Umair

Echocardiography is a critical tool for detecting heart diseases, yet its steep operational difficulty causes a shortage of skilled personnel. Probe guidance systems, which assist in acquiring high-quality images, offer a promising solution…

计算机视觉与模式识别 · 计算机科学 2026-05-19 Teng Wang , Haojun Jiang , Yuxuan Wang , Zhenguo Sun , Yujiao Deng , Shiji Song , Gao Huang