Parkinson's Disease - Page 63 | AI Medical Compendium

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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 1303-1323 of 5,624 articles

EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task

Neural biomarkers that can classify or predict disease are of broad interest to the neurological a...

Oct 2024 http://arxiv.org/abs/2410.06534v1

GAMMA-PD: Graph-based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson's Disease

The rapid advancement of medical technology has led to an exponential increase in multi-modal medi...

Oct 2024 http://arxiv.org/abs/2410.00944v1

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning

Recently, multimodal electroencephalogram (EEG) learning has shown great promise in disease detect...

Sep 2024 http://arxiv.org/abs/2409.13440v1

Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning

Cycling has gained global popularity for its health benefits and positive urban impacts. To effect...

Sep 2024 http://arxiv.org/abs/2409.03148v2

A deep learning-guided automated workflow in LipidOz for detailed characterization of fungal fatty acid unsaturation by ozonolysis.

Understanding fungal lipid biology and metabolism is critical for antifungal target discovery as lip...

(2)

Sep 2024 39132905

Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network.

PURPOSE: Changes in retinal structure and microvasculature are connected to parallel changes in the ...

Aug 2024 39136960

Innovative Speech-Based Deep Learning Approaches for Parkinson's Disease Classification: A Systematic Review

Parkinson's disease (PD), the second most prevalent neurodegenerative disorder worldwide, frequent...

Jul 2024 http://arxiv.org/abs/2407.17844v4

Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation

Parkinson's Disease afflicts millions of individuals globally. Emerging as a promising brain rehab...

(2)

Jul 2024 http://arxiv.org/abs/2407.17756v1

2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks

Parkinson's Disease (PD) diagnosis remains challenging. This study applies Convolutional Kolmogoro...

(1)

Jul 2024 http://arxiv.org/abs/2407.17380v2

Early Recognition of Parkinson's Disease Through Acoustic Analysis and Machine Learning

Parkinson's Disease (PD) is a progressive neurodegenerative disorder that significantly impacts bo...

Jul 2024 http://arxiv.org/abs/2407.16091v1

A discontinuous Galerkin method for the three-dimensional heterodimer model with application to prion-like proteins' dynamics

Neurocognitive disorders, such as Alzheimer's and Parkinson's, have a wide social impact. These pr...

Jul 2024 http://arxiv.org/abs/2407.16065v1

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation

Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function a...

Jul 2024 http://arxiv.org/abs/2408.00777v3

Enhancing Model Generalizability In Parkinson's Disease Automatic Assessment: A Semi-Supervised Approach Across Independent Experiments.

Machine learning in Parkinson's disease assessment uses data from clinically-coded movements, such a...

(1)

Jul 2024 40039364

Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III.

The Unified Parkinson's Disease Rating Scale (UP-DRS) is used to recognize patients with Parkinson's...

(3)

Jul 2024 40039487

Video-based Clinical Gait Analysis in Parkinson's Disease: A Novel Approach Using Frontal Plane Videos and Machine Learning.

Gait can be significantly impaired by neurological conditions such as Parkinson's disease (PD). Gait...

(1)

Jul 2024 40039710

Dysarthria Detection with Deep Representation Learning for Patients with Parkinson's Disease.

Dysarthria is a very common motor speech symptom in Parkinson's disease impairing normal communicati...

(2)

Jul 2024 40039875

Simulating Accelerometer Signals of Parkinson's Gait Using Generative Adversarial Networks.

Wearable technologies have been demonstrated to have value in the objective assessment of Parkinson'...

Jul 2024 40040153

Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease

Omics data analysis is crucial for studying complex diseases, but its high dimensionality and hete...

Jun 2024 http://arxiv.org/abs/2406.14442v1

Rapid assessment of cosmic radiation exposure in aviation based on BP neural network method.

Cosmic radiation exposure is one of the important health concerns for aircrews. In this work, we con...

(1)

Jun 2024 38794881

Generalizing Parkinson's disease detection using keystroke dynamics: a self-supervised approach.

OBJECTIVE: Passive monitoring of touchscreen interactions generates keystroke dynamic signals that c...

May 2024 38497957

EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder.

STUDY OBJECTIVES: Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of...

(2)

May 2024 38330231