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Related papers: Designing Compact Features for Remote Stroke Rehab…

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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

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

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

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

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

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

At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of integrated solutions capable of simultaneously monitoring…

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

We here present work a generalized low-level technical framework aimed to provide musical biofeedback in post-stroke balance and gait rehabilitation, built by an iterative user-centered process. The framework comprises wireless wearable…

Human-Computer Interaction · Computer Science 2020-12-02 Prithvi Kantan , Erika G. Spaich , Sofia Dahl

Stroke affected millions annually, yet poor symptom recognition often delayed care-seeking. To address risk recognition gap, we developed a passive surveillance system for early stroke risk detection using patient-reported symptoms among…

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

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

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

Stroke is a major cause of mortality and long--term disability in the world. Predictive outcome models in stroke are valuable for personalized treatment, rehabilitation planning and in controlled clinical trials. In this paper we design a…

Applications · Statistics 2016-02-24 Abhishek Sengupta , Vaibhav Rajan , Sakyajit Bhattacharya , G R K Sarma

The main purpose of the paper is development, implementation, and testing of a low-cost portable system to assist partially paralyzed patients in their hand rehabilitation after strokes or some injures. Rehabilitation includes time…

Human-Computer Interaction · Computer Science 2025-03-18 Hussein Naeem Hasan

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

Dynamic prediction of locomotor capacity after stroke could enable more individualized rehabilitation, yet current assessments largely provide static impairment scores and do not indicate whether patients can perform specific tasks such as…

Computational Engineering, Finance, and Science · Computer Science 2026-01-06 Yanning Dai , Chenyu Tang , Ruizhi Zhang , Wenyu Yang , Yilan Zhang , Yuhui Wang , Junliang Chen , Xuhang Chen , Ruimou Xie , Yangyue Cao , Qiaoying Li , Jin Cao , Tao Li , Hubin Zhao , Yu Pan , Arokia Nathan , Xin Gao , Peter Smielewski , Shuo Gao

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

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…

Stroke represents the third cause of death and disability worldwide, and is recognised as a significant global health problem. A major challenge for stroke survivors is persistent hand dysfunction, which severely affects the ability to…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Wiktor Mucha , Kentaro Tanaka , Martin Kampel
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