AIMC Topic: Physical Therapy Modalities
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The fourier M2 robotic machine combined with occupational therapy on post-stroke upper limb function and independence-related quality of life: A randomized clinical trial.
Topics in stroke rehabilitation
May 21, 2020
Most post-stroke patients experience upper limb functionality challenges. Emergent therapies using upper limb-based robot machines present opportunities to resolve the limitations inherent in Occupational therapy such as increased therapist-patient e...
A pilot study on the design and validation of a hybrid exoskeleton robotic device for hand rehabilitation.
Journal of hand therapy : official journal of the American Society of Hand Therapists
May 16, 2020
STUDY DESIGN: An iterative design process was used to obtain design parameters that satisfy both kinematic and dynamic requirements for the hand exoskeleton. This design was validated through experimental studies.
A new lower limb portable exoskeleton for gait assistance in neurological patients: a proof of concept study.
Journal of neuroengineering and rehabilitation
May 6, 2020
BACKGROUND: Few portable exoskeletons following the assist-as-needed concept have been developed for patients with neurological disorders. Thus, the main objectives of this proof-of-concept study were 1) to explore the safety and feasibility of an ex...
A New Design Scheme for Intelligent Upper Limb Rehabilitation Training Robot.
International journal of environmental research and public health
Apr 24, 2020
In view of the urgent need for intelligent rehabilitation equipment for some disabled people, an intelligent, upper limb rehabilitation training robot is designed by applying the theories of artificial intelligence, information, control, human-machin...
Three-dimensional modelling of wheelchair contrived with lower limb exoskeleton for right hemiplegic dysfunction.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Apr 7, 2020
Hemiplegia is a type of paralysis that affects one side of the body due to stroke, characterizing severe weakness or rigid movement. Many people of different age groups are affected by this condition which cannot be completely cured but can be minimi...
Effects of robotic gait training after stroke: A meta-analysis.
Annals of physical and rehabilitation medicine
Mar 27, 2020
BACKGROUND: Robotic devices are often used in rehabilitation and might be efficient to improve walking capacity after stroke.
Adaptive predictive systems applied to gait analysis: A systematic review.
Gait & posture
Jan 23, 2020
BACKGROUND: Due to the high susceptivity of the walking pattern to be affected by several disorders, accurate analysis methods are necessary. Given the complexity and relevance of such assessment, the utilization of methods to facilitate it plays a s...
Assessment of Balance Control Subsystems by Artificial Intelligence.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 15, 2020
Recent studies have shown that balance performance assessment based on artificial intelligence (AI) is feasible. However, balance control is very complex and requires different subsystems to participate, which have not been evaluated individually yet...
Effect of Robot-Assisted Gait Training in a Large Population of Children With Motor Impairment Due to Cerebral Palsy or Acquired Brain Injury.
Archives of physical medicine and rehabilitation
Sep 25, 2019
OBJECTIVE: To evaluate retrospectively the effect of robotic rehabilitation in a large group of children with motor impairment; an additional goal was to identify the effects in children with cerebral palsy (CP) and acquired brain injury (ABI) and wi...
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
Psychomotor Performance
Automation
Movement
Aged, 80 and over
Biomechanical Phenomena
Precision Medicine
Male
Female
Middle Aged
Humans
Reproducibility of Results
User-Computer Interface
Machine Learning
Aged
Parkinson Disease
Algorithms
Exercise Therapy
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