AIMC Topic: Stroke Rehabilitation
Clear Filters Showing 581 to 590 of 830 articles
Recovery of walking ability using a robotic device in subacute stroke patients: a randomized controlled study.
Disability and rehabilitation. Assistive technology
Mar 10, 2014
PURPOSE: This study investigates the effectiveness of Lokomat + conventional therapy in recovering walking ability in non-ambulatory subacute stroke subjects involved in inpatient rehabilitation.
Robot-assisted gait training improves motor performances and modifies Motor Unit firing in poststroke patients.
European journal of physical and rehabilitation medicine
Jan 30, 2014
BACKGROUND: Robotics and related technologies are realizing their promise to improve the delivery of rehabilitation therapy but the mechanism by which they enhance recovery is still unknown. The electromechanical-driven gait orthosis Lokomat has demo...
Effects of electromyography-driven robot-aided hand training with neuromuscular electrical stimulation on hand control performance after chronic stroke.
Disability and rehabilitation. Assistive technology
Dec 31, 2013
PURPOSE: An electromyography-driven robot system integrated with neuromuscular electrical stimulation (NMES) was developed to investigate its effectiveness on post-stroke rehabilitation.
Review on design and control aspects of ankle rehabilitation robots.
Disability and rehabilitation. Assistive technology
Dec 9, 2013
Ankle rehabilitation robots can play an important role in improving outcomes of the rehabilitation treatment by assisting therapists and patients in number of ways. Consequently, few robot designs have been proposed by researchers which fall under ei...
A pilot study for self-guided, active robotic training of proprioception of the upper limb in chronic stroke.
Journal of neuroengineering and rehabilitation
Jun 7, 2025
BACKGROUND: Proprioceptive impairments of the upper limb are common after stroke. These impairments are not typically addressed during assessment or rehabilitation. Currently, most robotic paradigms for training of the upper limb have focused solely ...
Enhanced neuroplasticity and gait recovery in stroke patients: a comparative analysis of active and passive robotic training modes.
BMC neurology
May 31, 2025
BACKGROUND: Stroke is a leading cause of long-term disability, with lower limb dysfunction being a common sequela that significantly impacts patients' mobility and quality of life. Robotic-assisted training has emerged as a promising intervention for...
Electromechanical-assisted training for walking after stroke.
The Cochrane database of systematic reviews
May 14, 2025
RATIONALE: Walking difficulties are common after a stroke. During rehabilitation, electromechanical and robotic gait-training devices can help improve walking. As the evidence and certainty of the evidence may have changed since our last update in 20...
Reducing Upper-Limb Muscle Effort with Model-Based Gravity Compensation During Robot-Assisted Movement.
Sensors (Basel, Switzerland)
May 12, 2025
Clinical research has demonstrated that stroke patients benefit from active participation during robot-assisted training. However, the weight of the arm impedes the execution of tasks and movements due to the functional disability. The purpose of thi...
[Construction of an interpretable machine learning-based prediction model for the clinical effect on ischemic stroke in treatment with eye acupuncture combined with rehabilitation therapy].
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
May 12, 2025
OBJECTIVE: To construct a prediction model for the clinical effect of eye acupuncture combined with rehabilitation therapy on ischemic stroke based on interpretable machine learning.
Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.
Scientific reports
May 8, 2025
An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation, to their families, and healthcare providers. This study aimed at developing and validating externally patient-wise prognostic models of the global fu...
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