AIMC Topic: Exercise Therapy
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Robotic-assisted hand therapy for improvement of hand function in children with cerebral palsy: a case series study.
European journal of physical and rehabilitation medicine
Jan 14, 2020
BACKGROUND: Most types of robot-assisted training (RT) have been used in Cerebral Palsy (CP) patients only focus on proximal upper extremity. Few of study investigated the effect of distal upper extremity training.
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 13, 2020
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 of rehabili...
Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people.
Journal of neuroengineering and rehabilitation
Dec 27, 2019
BACKGROUND: Gait disorders are major symptoms of neurological diseases affecting the quality of life. Interventions that restore walking and allow patients to maintain safe and independent mobility are essential. Robot-assisted gait training (RAGT) p...
Highest ambulatory speed using Lokomat gait training for individuals with a motor-complete spinal cord injury: a clinical pilot study.
Acta neurochirurgica
Dec 24, 2019
BACKGROUND: Motor impairment and loss of ambulatory function are major consequences of a spinal cord injury (SCI). Exoskeletons are robotic devices that allow SCI patients with limited ambulatory function to walk. The mean walking speed of SCI patien...
Safety and immediate effects of Hybrid Assistive Limb in children with cerebral palsy: A pilot study.
Brain & development
Nov 5, 2019
PURPOSE: Early intervention is effective for developing motor ability and preventing contractures and deformities in patients with cerebral palsy (CP). Gait training using the newly developed Hybrid Assistive Limb (HAL) shows promise as an interventi...
Clinical non-superiority of technology-assisted gait training with body weight support in patients with subacute stroke: A meta-analysis.
Annals of physical and rehabilitation medicine
Oct 30, 2019
BACKGROUND: Technology-assisted gait training (TAGT) with body weight support (BWS) has been designed to provide high numbers of repetitions during stepping practice, but its benefits have been inconclusive.
The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.
Topics in stroke rehabilitation
Sep 4, 2019
: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation move...
Applying machine learning to predict future adherence to physical activity programs.
BMC medical informatics and decision making
Aug 22, 2019
BACKGROUND: Identifying individuals who are unlikely to adhere to a physical exercise regime has potential to improve physical activity interventions. The aim of this paper is to develop and test adherence prediction models using objectively measured...
Unilateral vs Bilateral Hybrid Approaches for Upper Limb Rehabilitation in Chronic Stroke: A Randomized Controlled Trial.
Archives of physical medicine and rehabilitation
Aug 14, 2019
OBJECTIVE: To investigate the effects of unilateral hybrid therapy (UHT) and bilateral hybrid therapy (BHT) compared with robot-assisted therapy (RT) alone in patients with chronic stroke.
Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 8, 2019
In this paper, we propose a machine learning-based virtual physical therapist (PT) system to enable personalized remote training for patients with Parkinson's disease (PD). Three physical therapy tasks with multiple difficulty levels are selected to ...
Physical Therapy Modalities
Physical Therapists
Precision Medicine
Parkinson Disease
Biomechanical Phenomena
Female
Humans
Exercise Therapy
Male
Reproducibility of Results
Machine Learning
Psychomotor Performance
Middle Aged
Aged
Algorithms
Automation
Aged, 80 and over
User-Computer Interface
Movement
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