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Despite advancements in rehabilitation protocols, clinical assessment of upper extremity (UE) function after stroke largely remains subjective, relying heavily on therapist observation and coarse scoring systems. This subjectivity limits…

Image and Video Processing · Electrical Eng. & Systems 2025-09-11 David Robinson , Animesh Gupta , Rizwan Quershi , Qiushi Fu , Mubarak Shah

Thoracocardiography approach pretends to non-invasively monitor stroke volume by inductive plethysmographic recording of ventricular volume curves by a transducer placed on the chest. The purpose of this study was to investigate the…

Tissues and Organs · Quantitative Biology 2008-12-18 Enas Abdulhay , Pierre Baconnier

Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individualising treatment. Here, we integrate all heterogenous data…

This article focuses on the control center of each human body: the brain. We will point out the pivotal role of the cerebral vasculature and how its complex mechanisms may vary between subjects. We then emphasize a specific acute…

Image and Video Processing · Electrical Eng. & Systems 2022-11-10 Jeroen Bertels , David Robben , Dirk Vandermeulen , Robin Lemmens

Functional brain connectivity, as revealed through distant correlations in the signals measured by functional Magnetic Resonance Imaging (fMRI), is a promising source of biomarkers of brain pathologies. However, establishing and using…

When a patient is admitted to the intensive care unit (ICU) after a traumatic brain injury (TBI), an early prognosis is essential for baseline risk adjustment and shared decision making. TBI outcomes are commonly categorised by the Glasgow…

Neural inflammation immediately follows the onset of ischemic stroke. During this process, microglial cells can be activated into two different phenotypes: the M1 phenotype, which can worsen brain injury by producing pro-inflammatory…

Cell Behavior · Quantitative Biology 2021-07-23 Sara Amato , Andrea Arnold

In ischemic stroke, leptomeningeal collaterals can provide compensatory blood flow to tissue at risk despite an occlusion, and impact treatment response and infarct growth. The purpose of this work is to test the hypothesis that local…

Brain volume calculations are crucial in modern medical research, especially in the study of neurodevelopmental disorders. In this paper, we present an algorithm for calculating two classifications of brain volume, total brain volume (TBV)…

Image and Video Processing · Electrical Eng. & Systems 2019-04-24 Kevin Karsch , Brian Grinstead , Qing He , Ye Duan

A brain stroke occurs when blood flow to a part of the brain is disrupted, leading to cell death. Traditional stroke diagnosis methods, such as CT scans and MRIs, are costly and time-consuming. This study proposes a weighted voting ensemble…

Machine Learning · Computer Science 2025-04-22 Yao Zhiwan , Reza Zarrab , Jean Dubois

The accurate prognosis for traumatic brain injury (TBI) patients is difficult yet essential to inform therapy, patient management, and long-term after-care. Patient characteristics such as age, motor and pupil responsiveness, hypoxia and…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Margherita Rosnati , Eyal Soreq , Miguel Monteiro , Lucia Li , Neil S. N. Graham , Karl Zimmerman , Carlotta Rossi , Greta Carrara , Guido Bertolini , David J. Sharp , Ben Glocker

The absence of pre-hospital physiological data in standard clinical datasets fundamentally constrains the early prediction of stroke, as patients typically present only after stroke has occurred, leaving the predictive value of continuous…

Machine Learning · Computer Science 2026-02-11 Jiaming Liu , Cheng Ding , Daoqiang Zhang

Appropriate antithrombotic therapy for patients with atrial fibrillation (AF) requires assessment of ischemic stroke and bleeding risks. However, risk stratification schemas such as CHA2DS2-VASc and HAS-BLED have modest predictive capacity…

Coronary artery disease remains one of the leading causes of mortality globally. Despite advances in revascularization treatments like PCI and CABG, postoperative stroke is inevitable. This study aims to develop and evaluate a sophisticated…

Machine Learning · Computer Science 2025-03-18 Haonan Pan , Shuheng Chen , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

Structural and functional MRI studies of patients with post-stroke language deficits have contributed substantially to our understanding of how cognitive-behavioral impairments relate to the location of structural damage and to the…

Neurons and Cognition · Quantitative Biology 2016-10-14 Joseph C. Griffis , Rodolphe Nenert , Jane B. Allendorfer , Jerzy P. Szaflarski

This paper presents a mathematical model of blood volume kinetics and renal function in response to burn injury and resuscitation, which is applicable to the development and non-clinical testing of burn resuscitation protocols and…

Tissues and Organs · Quantitative Biology 2021-10-25 Ghazal ArabiDarrehDor , Ali Tivay , Ramin Bighamian , Chris Meador , George C. Kramer , Jin-Oh Hahn , Jose Salinas

Stroke patients have symptoms of cerebral functional disturbance that could aggressively impair patient's physical mobility, such as freezing of hand movements. Although rehabilitation training from external devices is beneficial for hand…

Signal Processing · Electrical Eng. & Systems 2020-06-30 Xiaotong Gu , Zehong Cao

Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after head impacts. These BIC originated from different types of head impacts (e.g., sports and car crashes) are widely used in risk evaluation.…

Stroke is a major global health problem that causes mortality and morbidity. Predicting the outcomes of stroke intervention can facilitate clinical decision-making and improve patient care. Engaging and developing deep learning techniques…

Image and Video Processing · Electrical Eng. & Systems 2024-12-09 Zeynel A. Samak , Philip Clatworthy , Majid Mirmehdi

This study addresses the challenge of predicting post-stroke rigidity by emphasizing feature interactions through graph-based explainable AI. Post-stroke rigidity, characterized by increased muscle tone and stiffness, significantly affects…

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