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Common disabilities like stroke and spinal cord injuries may cause loss of motor function in hands. They can be treated with robot assisted rehabilitation techniques, like continuously opening and closing the hand with help of a robot, in a…

Robotics · Computer Science 2022-12-15 Cem Suulker , Sophie Skach , Kaspar Althoefer

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

This paper presents the design and development of a robotic system to give physical assistance to the elderly or people with neurological disorders such as Ataxia or Parkinson's. In particular, we propose using a mobile collaborative robot…

Prosthesis users can regain partial limb functionality, however, full natural limb mobility is rarely restored, often resulting in compensatory movements that lead to discomfort, inefficiency, and long-term physical strain. To address this…

Robotics · Computer Science 2025-08-15 Marta Lagomarsino , Robin Arbaud , Francesco Tassi , Arash Ajoudani

Robotic devices hold great potential for efficient and reliable assessment of neuromotor abnormalities in post-stroke patients. However, spasticity caused by stroke is still assessed manually in clinical settings. The limited and variable…

Robotics · Computer Science 2024-12-09 Hao Yu , Zebin Huang , Yutong Li , Xinliang Guo , Vincent Crocher , Ignacio Carlucho , Mustafa Suphi Erden

Rehabilitation exercises are essential to ensure speedy recovery of stroke patients. An automated system to assist the patient in performing a rehabilitation exercise repeatedly is designed. The design process is presented in this report.

Robotics · Computer Science 2021-12-30 Dineshkumar , N R Sakthivel , Binoy B Nair

Configurable robots are made up of robotic modules that can be assembled or can configure themselves into multiple robot configurations. In this research plan, a method for upper-body rehabilitation will be discussed in the form of a…

Systems and Control · Electrical Eng. & Systems 2024-08-16 M. Hasanlu , M. Siavashi

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…

Robot-led physical therapy (PT) offers a promising avenue to enhance the care provided by clinical exercise specialists (ES) and physical and occupational therapists to improve patients' adherence to prescribed exercises outside of a…

Introduction: Hand function is a central determinant of independence after stroke. Measuring hand use in the home environment is necessary to evaluate the impact of new interventions, and calls for novel wearable technologies. Egocentric…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Meng-Fen Tsai , Rosalie H. Wang , Jośe Zariffa

Restoration of hand function is one of the highest priorities for SCI populations. In this work, we present a prototype of a robotic assistive orthosis capable of implementing tenodesis user control. The underactuated device provides active…

Socially assistive robots are increasingly being explored to improve the engagement of older adults and people with disability in health and well-being-related exercises. However, even if people have various physical conditions, most prior…

To reproduce natural standing-up motion, recent studies have emphasized the importance of coordination between the assisting robot and the human. However, many non-wearable assistive devices have struggled to replicate natural motion…

Neurons and Cognition · Quantitative Biology 2025-05-20 Atsuya Kusui , Susumu Hirai , Asuka Takai

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

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

Hand-wearable robots, specifically exoskeletons, are designed to aid hands in daily activities, playing a crucial role in post-stroke rehabilitation and assisting the elderly. Our contribution to this field is a textile robotic glove with…

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

The presence of post-stroke grasping deficiencies highlights the critical need for the development and implementation of advanced compensatory strategies. This paper introduces a novel system to aid chronic stroke survivors through the…

Robotics · Computer Science 2025-01-14 Basma Hasanen , Mashood M. Mohsan , Abdulaziz Y. Alkayas , Federico Renda , Irfan Hussain

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