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We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic tool that facilitates device mediated hand exercises…

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

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

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

Due to hemiparesis, stroke survivors frequently develop a dysfunctional gait that is often characterized by an overall decrease in walking speed and a unilateral decrease in step length. With millions currently affected by this…

Robotics · Computer Science 2025-12-04 Vaughn Chambers , Panagiotis Artemiadis

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

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

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…

Background: Hemiparesis after subcortical stroke is classically described as distal upper-extremity (UE) predominant, but prevalence data in chronic stroke is limited. Objective: Determine the prevalence of distal predominant UE weakness in…

Other Quantitative Biology · Quantitative Biology 2025-12-16 Ryan H. Baxter , Kotaro Tsutsumi , Marc W. Slutzky , An H. Do

One of the most frequent and severe aftermaths of a stroke is the loss of upper limb functionality. Therapy started in the sub-acute phase proved more effective, mainly when the patient participates actively. Recently, a novel set of…

Robotics · Computer Science 2023-12-21 Marina Gnocco , Manuel G. Catalano , Giorgio Grioli , Carlo Trompetto , Antonio Bicchi

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

Individuals post stroke experience motor impairments, such as loss of independent joint control, leading to an overall reduction in arm function. Their motion becomes slower and more discoordinated, making it difficult to complete…

Stroke is a medical condition that can affect motor function, particularly dynamic balance. Biofeedback can aid in rehabilitation procedures which help patients to regain lost motor activity and recover functionality. In this work, we are…

Robotics · Computer Science 2023-01-18 Franco Paviotti , Esteban Buniak , Rodrigo Ramele , Orestes Freixes , Juan Miguel Santos

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

Background: Gravity confounds arm movement ability in post-stroke hemiparesis. Reducing its influence allows effective practice leading to recovery. Yet, there is a scarcity of wearable devices suitable for personalized use across diverse…

Robotics · Computer Science 2024-05-09 Courtney Celian , Partha Ryali , Valentino Wilson , Adith Srivatsaa , James L. Patton

Objective: Evaluate the feasibility and potential impacts on hand function using a wearable stimulation device (the VTS Glove) which provides mechanical, vibratory input to the affected limb of chronic stroke survivors. Methods: A…

Human-Computer Interaction · Computer Science 2022-08-02 Caitlyn E. Seim , Steven L. Wolf , Thad E. Starner

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

This paper presents GARD, an upper limb end-effector rehabilitation device developed for stroke patients. GARD offers assistance force along or towards a 2D trajectory during physical therapy sessions. GARD employs a non-backdrivable…

Robotics · Computer Science 2024-12-09 Fulan Li , Yunfei Guo , Wenda Xu , Weide Zhang , Fangyun Zhao , Baiyu Wang , Huaguang Du , Chengkun Zhang

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
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