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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

The growing demands of stroke rehabilitation have increased the need for solutions to support autonomous exercising. Virtual coaches can provide real-time exercise feedback from video data, helping patients improve motor function and keep…

Image and Video Processing · Electrical Eng. & Systems 2025-06-05 Gonçalo Mesquita , Ana Rita Cóias , Artur Dubrawski , Alexandre Bernardino

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

Automated assessment of human motion plays a vital role in rehabilitation, enabling objective evaluation of patient performance and progress. Unlike general human activity recognition, rehabilitation motion assessment focuses on analyzing…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Ali Ismail-Fawaz , Maxime Devanne , Stefano Berretti , Jonathan Weber , Germain Forestier

Rehabilitation is essential and critical for post-stroke patients, addressing both physical and cognitive aspects. Stroke predominantly affects older adults, with 75% of cases occurring in individuals aged 65 and older, underscoring the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Jisoo Lee , Tamim Ahmed , Thanassis Rikakis , Pavan Turaga

Surgical video understanding is pivotal for enabling automated intraoperative decision-making, skill assessment, and postoperative quality improvement. However, progress in developing surgical video foundation models (FMs) remains hindered…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Jianhui Wei , Zikai Xiao , Danyu Sun , Luqi Gong , Zongxin Yang , Zuozhu Liu , Jian Wu

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

Brain stroke has become a significant burden on global health and thus we need remedies and prevention strategies to overcome this challenge. For this, the immediate identification of stroke and risk stratification is the primary task for…

Image and Video Processing · Electrical Eng. & Systems 2025-01-07 Prantik Deb , Lalith Bharadwaj Baru , Kamalaker Dadi , Bapi Raju S

Recent advances in data analytics and computer-aided diagnostics stimulate the vision of patient-centric precision healthcare, where treatment plans are customized based on the health records and needs of every patient. In physical…

Computer Vision and Pattern Recognition · Computer Science 2020-03-23 Yalin Liao , Aleksandar Vakanski , Min Xian , David Paul , Russell Baker

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…

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

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

Manual scoring of the Action Research Arm Test (ARAT) for upper extremity assessment in stroke rehabilitation is time-intensive and variable. We propose an automated ARAT scoring system integrating multimodal video analysis with SlowFast,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Tamim Ahmed , Thanassis Rikakis

Markerless estimation of 3D Kinematics has the great potential to clinically diagnose and monitor movement disorders without referrals to expensive motion capture labs; however, current approaches are limited by performing multiple…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Marian Bittner , Wei-Tse Yang , Xucong Zhang , Ajay Seth , Jan van Gemert , Frans C. T. van der Helm

Physical rehabilitation exercises suggested by healthcare professionals can help recovery from various musculoskeletal disorders and prevent re-injury. However, patients' engagement tends to decrease over time without direct supervision,…

Human-Computer Interaction · Computer Science 2025-04-22 Aleksa Marusic , Sao Mai Nguyen , Adriana Tapus

Stroke is one of the leading causes of disability worldwide. The efficacy of recovery is determined by a variety of factors, including patient adherence to rehabilitation programs. One way to increase patient adherence to their…

Human-Computer Interaction · Computer Science 2024-02-20 Alicia Ouskine , Adrian D. C. Chan , Fateme Rajabiyazdi

Early identification of stroke symptoms is essential for enabling timely intervention and improving patient outcomes, particularly in prehospital settings. This study presents a fast, non-invasive multimodal deep learning framework for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Ngoc-Khai Hoang , Thi-Nhu-Mai Nguyen , Huy-Hieu Pham

In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical tests are commonly referred to during the process, but the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-29 Tongan Cai , Haomiao Ni , Mingli Yu , Xiaolei Huang , Kelvin Wong , John Volpi , James Z. Wang , Stephen T. C. Wong

Accelerometry has been extensively studied as an objective means of measuring upper limb function in patients post-stroke. The objective of this paper is to determine whether the accelerometry-derived measurements frequently used in more…

Machine Learning · Computer Science 2023-11-09 Mackenzie Wallich , Kenneth Lai , Svetlana Yanushkevich

Effective stroke recovery requires continuous rehabilitation integrated with daily living. To support this need, we propose a home-based rehabilitation exercise and feedback system. The system consists of (1) hardware setup with RGB-D…

Image and Video Processing · Electrical Eng. & Systems 2026-02-03 Suhyeon Lim , Ye-eun Kim , Andrew J. Choi
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