AIMC Topic: Motor Skills
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Long-Dose Intensive Therapy Is Necessary for Strong, Clinically Significant, Upper Limb Functional Gains and Retained Gains in Severe/Moderate Chronic Stroke.
Neurorehabilitation and neural repair
May 25, 2019
. Effective treatment methods are needed for moderate/severely impairment chronic stroke. . The questions were the following: (1) Is there need for long-dose therapy or is there a mid-treatment plateau? (2) Are the observed gains from the prior-studi...
Using Surgeon Hand Motions to Predict Surgical Maneuvers.
Human factors
Apr 23, 2019
OBJECTIVE: This study explores how common machine learning techniques can predict surgical maneuvers from a continuous video record of surgical benchtop simulations.
A motor learning therapeutic intervention for a child with cerebral palsy through a social assistive robot.
Disability and rehabilitation. Assistive technology
Feb 26, 2019
Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Therapy is an important factor in improving these aspects, and if applied in early intervention treatments, when the child is growing, it could have many b...
A rule induction framework for the determination of representative learning design in skilled performance.
Journal of sports sciences
Dec 21, 2018
Representative learning design provides a framework for the extent to which practice simulates key elements of a performance setting. Improving both the measurement and analysis of representative learning design would allow for the refinement of spor...
Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning.
Journal of sports sciences
Dec 13, 2018
Fast bowlers are at a high risk of overuse injuries. There are specific bowling frequency ranges known to have negative or protective effects on fast bowlers. Inertial measurement units (IMUs) can classify movements in sports, however, some commercia...
Planar conformity of movements in 3D reaching tasks for persons with Multiple Sclerosis.
Human movement science
Nov 10, 2018
Robotic rehabilitation of the upper limb has been proved beneficial for people with Multiple Sclerosis (MS). In order to provide task-specific therapy for MS, given its complex impairing nature, it is desired to take advantage of the robots' ability ...
Human-agent co-adaptation using error-related potentials.
Journal of neural engineering
Sep 11, 2018
OBJECTIVE: Error-related potentials (ErrP) have been proposed as an intuitive feedback signal decoded from the ongoing electroencephalogram (EEG) of a human observer for improving human-robot interaction (HRI). While recent demonstrations of this app...
Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Humans
Machine Learning
Decision Support Techniques
Predictive Value of Tests
Biomarkers
Stroke Rehabilitation
Disability Evaluation
Longitudinal Studies
Female
Motor Skills
Stroke
Health Status
Male
Leukocyte Count
Hematocrit
Inpatients
Time Factors
Motor Activity
Recovery of Function
Cognition
Inflammation Mediators
Treatment Outcome
Linear Models
Test-retest reliability of the KINARM end-point robot for assessment of sensory, motor and neurocognitive function in young adult athletes.
PloS one
Apr 24, 2018
BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subjective interpretation and patient symptom reporting. Robotic assessments may provide more objective and precise measures of neurological function than ...
ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.
Gait & posture
Apr 16, 2018
We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorded on the Gillette Functional Assessment Questionnaire (FAQ). The classifier exhibited outstanding ac...
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