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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

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…

Stroke rehabilitation seeks to increase neuroplasticity through the repeated practice of functional motions, but may have minimal impact on recovery because of insufficient repetitions. The optimal training content and quantity are…

Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data captured with a sensory system. Despite the essential role…

Machine Learning · Computer Science 2020-01-24 Y. Liao , A. Vakanski , M. Xian

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

Rehabilitation assessment is critical to determine an adequate intervention for a patient. However, the current practices of assessment mainly rely on therapist's experience, and assessment is infrequently executed due to the limited…

Human-Computer Interaction · Computer Science 2020-03-03 Min Hun Lee , Daniel P. Siewiorek , Asim Smailagic , Alexandre Bernardino , Sergi Bermúdez i Badia

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

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

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

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

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

Inertial measurement units have the ability to accurately record the acceleration and angular velocity of human limb segments during discrete joint movements. These movements are commonly used in exercise rehabilitation programmes following…

Human-Computer Interaction · Computer Science 2018-12-11 Antonio Bevilacqua , Bingquan Huang , Rob Argent , Brian Caulfield , Tahar Kechadi

Telerehabilitation systems for stroke survivors have been predominantly designed to measure and quantify movement in order to guide and encourage rehabilitation regular exercises at home. We set out to study what aspect of the movement data…

Human-Computer Interaction · Computer Science 2021-02-18 Adegboyega Akinsiku , Ignacio Avellino , Yasmin Graham , Helena M. Mentis

The task of assessing movement quality has recently gained high demand in a variety of domains. The ability to automatically assess subject movement in videos that were captured by affordable devices, such as Kinect cameras, is essential…

Computer Vision and Pattern Recognition · Computer Science 2020-07-16 Tal Hakim , Ilan Shimshoni

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

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

Post-stroke patient rehabilitation requires precise, personalized treatment plans. Natural Language Processing (NLP) offers potential to extract valuable exercise information from clinical notes, aiding in the development of more effective…

Computation and Language · Computer Science 2024-03-18 Sonish Sivarajkumar , Fengyi Gao , Parker E. Denny , Bayan M. Aldhahwani , Shyam Visweswaran , Allyn Bove , Yanshan Wang

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

Patients with neurological conditions require rehabilitation to restore their motor, visual, and cognitive abilities. To meet the shortage of therapists and reduce their workload, a robotic rehabilitation platform involving the clinical…

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
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