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

Showing 673-693 of 5,766 articles

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...

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

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

Tracking symptoms progression in the early stages of Parkinson's disease (PD) is a laborious endeavo...

Jan 2020 32143804

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

Parkinson's disease (PD) is the second most common neurodegenerative disease, and α-synuclein plays...

Jan 2020 32038461

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

Neurodegenerative diseases are excessively affecting millions of patients, especially elderly people...

Jan 2020 32028212

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

PURPOSE: It is vital to appropriately power clinical trials towards discovery of novel disease-modif...

Jan 2020 31918375

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

OBJECTIVE: Deep brain stimulation (DBS) of the internal segment of the globus pallidus (GPi) in pati...

Jan 2020 31675740

Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.

This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight...

Jan 2020 31902041

Compact Bone Surgery Robot With a High-Resolution and High-Rigidity Remote Center of Motion Mechanism.

OBJECTIVE: Two important and difficult tasks during a bone drilling procedure are guiding the orient...

Jan 2020 31905127

Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson's Disease.

In this paper, we have investigated the differences in the voices of Parkinson's disease (PD) and ag...

Dec 2019 31861890

Identification of distinct blood-based biomarkers in early stage of Parkinson's disease.

Parkinson's disease (PD) is a slowly progressive geriatric disease, which can be one of the leading ...

Dec 2019 31828678

A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.

Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance e...

Dec 2019 31877443

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Early diagnosis of Parkinson's diseases (PD) is challenging; applying machine learning (ML) models t...

Dec 2019 31817393

Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer's disease to Parkinson's disease.

PURPOSE: Although functional brain imaging has been used for the early and objective assessment of c...

Nov 2019 31768599

Neurology

Browse Categories

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.

Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.

Compact Bone Surgery Robot With a High-Resolution and High-Rigidity Remote Center of Motion Mechanism.

Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson's Disease.

Identification of distinct blood-based biomarkers in early stage of Parkinson's disease.

A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer's disease to Parkinson's disease.

A machine learning algorithm successfully screens for Parkinson's in web users.

Automated Parkinson's disease recognition based on statistical pooling method using acoustic features.

Improved detection of Parkinsonian resting tremor with feature engineering and Kalman filtering.

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