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Stroke is known as a major global health problem, and for stroke survivors it is key to monitor the recovery levels. However, traditional stroke rehabilitation assessment methods (such as the popular clinical assessment) can be subjective…

Signal Processing · Electrical Eng. & Systems 2022-12-27 Xi Chen , Yu Guan , Jian Qing Shi , Xiu-Li Du , Janet Eyre

Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients. In fact, it depends basically on the patient's functional…

Signal Processing · Electrical Eng. & Systems 2023-01-02 Asma Bensalah , Alicia Fornés , Cristina Carmona-Duarte , Josep Lladós

Assessing the physical condition in rehabilitation scenarios is a challenging problem, since it involves Human Activity Recognition (HAR) and kinematic analysis methods. In addition, the difficulties increase in unconstrained rehabilitation…

Human-Computer Interaction · Computer Science 2022-12-13 Asma Bensalah , Jialuo Chen , Alicia Fornés , Cristina Carmona-Duarte , Josep Lladós , Miguel A. Ferrer

Standard clinical assessments of upper-extremity motor function after stroke either rely on ordinal scoring, which lacks sensitivity, or time-based task metrics, which do not capture movement quality. In this work, we present a computer…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 David Robinson , Animesh Gupta , Elizabeth Clark , Olga Melnik , Qiushi Fu , Mubarak Shah

Stroke patients with upper limb motor impairments are re-acclimated to their corresponding motor functionalities through therapeutic interventions. Physiotherapists typically assess these functionalities using various qualitative protocols.…

Human-Computer Interaction · Computer Science 2024-10-07 Mohammad Ridwan Kabir , Mohammad Ishrak Abedin , Mohaimin Ehsan , Mohammad Anas Jawad , Hasan Mahmud , Md. Kamrul Hasan

In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improvement in functional abilities. Our…

Rehabilitation training is the primary intervention to improve motor recovery after stroke, but a tool to measure functional training does not currently exist. To bridge this gap, we previously developed an approach to classify functional…

Machine Learning · Computer Science 2021-12-24 Avinash Parnandi , Jasim Uddin , Dawn M. Nilsen , Heidi Schambra

Upper extremity motor impairment affects about 80\% of persons after strokes. For stroke rehabilitation, upper limb kinematic assessments have increasingly been used as primary or secondary outcome measures. Studying the upper extremity…

Quantitative Methods · Quantitative Biology 2023-05-18 Khadija F. Zaidi , Michelle Harris-Love

Neurological disorders, including stroke, spinal cord injuries, multiple sclerosis, and Parkinson's disease, generally lead to diminished upper extremity (UE) function, impacting individuals' independence and quality of life. Traditional…

Signal Processing · Electrical Eng. & Systems 2024-08-02 Tommaso Proietti , Andrea Bandini

Objective: Exploit accelerometry data for an automatic, reliable, and prompt detection of spontaneous circulation during cardiac arrest, as this is both vital for patient survival and practically challenging. Methods: We developed a machine…

Signal Processing · Electrical Eng. & Systems 2023-02-13 Wolfgang J. Kern , Simon Orlob , Andreas Bohn , Wolfgang Toller , Jan Wnent , Jan-Thorsten Gräsner , Martin Holler

Background: The brain's functional network constantly adapts to external changes. However, the mechanisms underlying this dynamic adaptive behavior in stroke patients with motor injuries and its role in post-stroke motor recovery remain…

Neurons and Cognition · Quantitative Biology 2024-01-18 Kaichao Wu , Beth Jelfs , Katrina Neville , Qiang Fang

Chronic upper extremity (UE) impairment is common after stroke. This study evaluated Boost, a novel wheelchair-mounted rehabilitation device designed to assist individuals in UE motor recovery during inpatient rehabilitation. Thirty-five…

Marker-based Optical Motion Capture (OMC) paired with biomechanical modeling is currently considered the most precise and accurate method for measuring human movement kinematics. However, combining differentiable biomechanical modeling with…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Tim Unger , Arash Sal Moslehian , J. D. Peiffer , Johann Ullrich , Roger Gassert , Olivier Lambercy , R. James Cotton , Chris Awai Easthope

Timely and adequate rehabilitation is critical in facilitating post-stroke recovery. However, the organization and delivery of rehabilitation are resource-demanding, and are only available to approximately 25% of stroke survivors in…

Human-Computer Interaction · Computer Science 2024-02-13 Elton H. L. Yeung , Yingxian Chen , Wilton W. T. Fok , Gary K. K. Lau

This paper arises from collaborative research the aim of which was to model clinical assessments of upper limb function after stroke using 3D kinematic data. We present a new nonlinear mixed-effects scalar-on-function regression model with…

Applications · Statistics 2016-05-24 Yafeng Cheng , Jian Qing Shi , Janet Eyre

Recovery after stroke is often incomplete, but rehabilitation training may potentiate recovery by engaging endogenous neuroplasticity. In preclinical models of stroke, high doses of rehabilitation training are required to restore functional…

Signal Processing · Electrical Eng. & Systems 2020-06-22 Aakash Kaku , Avinash Parnandi , Anita Venkatesan , Natasha Pandit , Heidi Schambra , Carlos Fernandez-Granda

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

Compensatory trunk movements (CTMs) are commonly observed after stroke and can lead to maladaptive movement patterns, limiting targeted training of affected structures. Objective, continuous detection of CTMs during therapy and activities…

Stroke can lead to the impaired motor ability of the patient's lower limbs and hemiplegia. Accurate assessment of the lower limbs' motor ability is important for diagnosis and rehabilitation. To digitalize such assessment so that each test…

Human-Computer Interaction · Computer Science 2023-05-24 Huajun Long , Jie Li , Rui Li , Xinfeng Liu , Jingyuan Cheng

Acuity assessments are vital in critical care settings to provide timely interventions and fair resource allocation. Traditional acuity scores rely on manual assessments and documentation of physiological states, which can be…

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