AIMC Topic: Movement Disorders
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Application effect of rehabilitation robots in rehabilitation of limb movement disorders based on neural network algorithms.
SLAS technology
Mar 21, 2025
With the continuous advancement of computer technology and sensor technology, rehabilitation robots have shown great potential in the rehabilitation treatment of limb movement disorders. This paper designs a rehabilitation robot based on a neural net...
Automated Sleep Detection in Movement Disorders Using Deep Brain Stimulation and Machine Learning.
Movement disorders : official journal of the Movement Disorder Society
Aug 23, 2024
BACKGROUND: Automated sleep detection in movement disorders may allow monitoring sleep, potentially guiding adaptive deep brain stimulation (DBS).
Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review.
Artificial intelligence in medicine
Aug 14, 2024
The advent of computer vision technology and increased usage of video cameras in clinical settings have facilitated advancements in movement disorder analysis. This review investigated these advancements in terms of providing practical, low-cost solu...
Research on Monitoring Assistive Devices for Rehabilitation of Movement Disorders through Multi-Sensor Analysis Combined with Deep Learning.
Sensors (Basel, Switzerland)
Jul 1, 2024
This study aims to integrate a convolutional neural network (CNN) and the Random Forest Model into a rehabilitation assessment device to provide a comprehensive gait analysis in the evaluation of movement disorders to help physicians evaluate rehabil...
Machine Learning Approaches to Identify Affected Brain Regions in Movement Disorders Using MRI Data: A Systematic Review and Diagnostic Meta-analysis.
Journal of magnetic resonance imaging : JMRI
Mar 27, 2024
BACKGROUND: Movement disorders such as Parkinson's disease are associated with structural and functional changes in specific brain regions. Advanced magnetic resonance imaging (MRI) techniques combined with machine learning (ML) are promising tools f...
Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques.
Movement disorders : official journal of the Movement Disorder Society
Dec 25, 2023
BACKGROUND: Tourette syndrome (TS) tics are typically quantified using "paper and pencil" rating scales that are susceptible to factors that adversely impact validity. Video-based methods to more objectively quantify tics have been developed but are ...
A multi-stage transfer learning strategy for diagnosing a class of rare laryngeal movement disorders.
Computers in biology and medicine
Sep 29, 2023
BACKGROUND: It remains hard to directly apply deep learning-based methods to assist diagnosing essential tremor of voice (ETV) and abductor and adductor spasmodic dysphonia (ABSD and ADSD). One of the main challenges is that, as a class of rare laryn...
Diagnostic value of a vision-based intelligent gait analyzer in screening for gait abnormalities.
Gait & posture
Oct 26, 2021
BACKGROUND: Early detection of gait abnormalities is critical for preventing severe injuries in future falls. The timed up and go (TUG) test is a commonly used clinical gait screening test; however, the interpretation of its results is limited to the...
Perception of yips among professional Japanese golfers: perspectives from a network modelled approach.
Scientific reports
Oct 11, 2021
'Yips' in golf is a complex spectrum of anxiety and movement-disorder that affects competitive sporting performance. With unclear etiology and high prevalence documented in western literature, the perception and management of this psycho-neuromuscula...
Predicting optimal deep brain stimulation parameters for Parkinson's disease using functional MRI and machine learning.
Nature communications
May 24, 2021
Commonly used for Parkinson's disease (PD), deep brain stimulation (DBS) produces marked clinical benefits when optimized. However, assessing the large number of possible stimulation settings (i.e., programming) requires numerous clinic visits. Here,...
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