Parkinson's Disease

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

Showing 820-840 of 5,611 articles

Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer.

This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adve...

May 2020 32375217

Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment.

Mild cognitive impairment (MCI) may be caused by Alzheimer's disease, Parkinson's disease (PD), cere...

Apr 2020 32328889

Weighted gene co-expression network analysis reveals specific modules and biomarkers in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) ranks as the second most frequently occurring neurodegenerative...

Apr 2020 32276105

High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks.

Patients with advanced Parkinson's disease regularly experience unstable motor states. Objective and...

Apr 2020 32246097

Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.

BACKGROUND: Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and vo...

Mar 2020 32198848

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition.

We show that machine learning can pinpoint features distinguishing inactive from active states in pr...

Mar 2020 32183371

Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring t...

Mar 2020 33438650

An Underwater Robotic Manipulator with Soft Bladders and Compact Depth-Independent Actuation.

An underwater manipulator is essential for underwater robotic sampling and other service operations....

(1)

Feb 2020 32109180

Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients.

In the last few years, the importance of measuring gait characteristics has increased tenfold due to...

(1)

Feb 2020 32148741

Discriminating progressive supranuclear palsy from Parkinson's disease using wearable technology and machine learning.

BACKGROUND: Progressive supranuclear palsy (PSP), a neurodegenerative conditions may be difficult to...

(1)

Feb 2020 32078894

Motion Biomarkers Showing Maximum Contrast Between Healthy Subjects and Parkinson's Disease Patients Treated With Deep Brain Stimulation of the Subthalamic Nucleus. A Pilot Study.

Classic motion abnormalities in Parkinson's disease (PD), such as tremor, bradykinesia, or rigidity...

Feb 2020 32116488

LFP-Net: A deep learning framework to recognize human behavioral activities using brain STN-LFP signals.

BACKGROUND: Recognition of human behavioral activities using local field potential (LFP) signals rec...

Feb 2020 32027889

Untargeted Metabolomics for Metabolic Diagnostic Screening with Automated Data Interpretation Using a Knowledge-Based Algorithm.

Untargeted metabolomics may become a standard approach to address diagnostic requests, but, at prese...

Feb 2020 32024143

A preliminary attempt to visualize nigrosome 1 in the substantia nigra for Parkinson's disease at 3T: An efficient susceptibility map-weighted imaging (SMWI) with quantitative susceptibility mapping using deep neural network (QSMnet).

PURPOSE: Visibility of nigrosome 1 in the substantia nigra (SN) is used as an MR imaging biomarker f...

(2)

Jan 2020 31883389

A Super-Lightweight and Soft Manipulator Driven by Dielectric Elastomers.

Some applications are very sensitive to the weight of the robot, such as space manipulation or any u...

Jan 2020 31990630

Improvement of classification performance of Parkinson's disease using shape features for machine learning on dopamine transporter single photon emission computed tomography.

OBJECTIVE: To assess the classification performance between Parkinson's disease (PD) and normal cont...

Jan 2020 31978154

Neurology

Browse Categories

Parkinson's Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer.

Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment.

Weighted gene co-expression network analysis reveals specific modules and biomarkers in Parkinson's disease.

High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks.

Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.

Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition.

Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

An Underwater Robotic Manipulator with Soft Bladders and Compact Depth-Independent Actuation.

Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients.

Discriminating progressive supranuclear palsy from Parkinson's disease using wearable technology and machine learning.

Motion Biomarkers Showing Maximum Contrast Between Healthy Subjects and Parkinson's Disease Patients Treated With Deep Brain Stimulation of the Subthalamic Nucleus. A Pilot Study.

LFP-Net: A deep learning framework to recognize human behavioral activities using brain STN-LFP signals.

Untargeted Metabolomics for Metabolic Diagnostic Screening with Automated Data Interpretation Using a Knowledge-Based Algorithm.

A preliminary attempt to visualize nigrosome 1 in the substantia nigra for Parkinson's disease at 3T: An efficient susceptibility map-weighted imaging (SMWI) with quantitative susceptibility mapping using deep neural network (QSMnet).

A Super-Lightweight and Soft Manipulator Driven by Dielectric Elastomers.

Improvement of classification performance of Parkinson's disease using shape features for machine learning on dopamine transporter single photon emission computed tomography.

Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease.

Plasma and Serum Alpha-Synuclein as a Biomarker of Diagnosis in Patients With Parkinson's Disease.

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.

Machine learning methods for optimal prediction of motor outcome in Parkinson's disease.

Real-time machine learning classification of pallidal borders during deep brain stimulation surgery.

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