Parkinson's Disease

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

Showing 841-861 of 5,611 articles

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...

(1)

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

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...

(1)

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...

(1)

Nov 2019 31768599

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

OBJECTIVE: To develop, apply, and evaluate, a novel web-based classifier for screening for Parkinson...

Nov 2019 31714022

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

Parkinson's disease is one of the mostly seen neurological disease. It affects to nervous system and...

Nov 2019 31954340

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

OBJECTIVE: Accurate and reliable detection of tremor onset in Parkinson's disease (PD) is critical t...

Nov 2019 31744673

Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheim...

(2)

Nov 2019 31734535

Machine-learning-derived rules set excludes risk of Parkinson's disease in patients with olfactory or gustatory symptoms with high accuracy.

BACKGROUND: Chemosensory loss is a symptom of Parkinson's disease starting already at preclinical st...

Nov 2019 31676975

Hash Transformation and Machine Learning-Based Decision-Making Classifier Improved the Accuracy Rate of Automated Parkinson's Disease Screening.

Digitalized hand-drawn pattern is a noninvasive and reproducible assistive manner to obtain hand act...

Oct 2019 31675334

Integrated robotics platform with haptic control differentiates subjects with Parkinson's disease from controls and quantifies the motor effects of levodopa.

BACKGROUND: The use of integrated robotic technology to quantify the spectrum of motor symptoms of P...

(1)

Oct 2019 31655612

Online identification of functional regions in deep brain stimulation based on an unsupervised random forest with feature selection.

OBJECTIVE: The identification of functional regions, in particular the subthalamic nucleus, through ...

Oct 2019 31266003

Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms.

BACKGROUND: Deep brain stimulation (DBS) surgery is an option for patients experiencing medically re...

Oct 2019 31634625

A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson's Disease Characteristics.

It is well known that most patients with Parkinson's disease (PD) have different degree of movement ...

Oct 2019 31603824

Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network.

OBJECTIVE: Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported that mos...

Oct 2019 32166050

Neurology

Browse Categories

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.

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.

Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

Machine-learning-derived rules set excludes risk of Parkinson's disease in patients with olfactory or gustatory symptoms with high accuracy.

Hash Transformation and Machine Learning-Based Decision-Making Classifier Improved the Accuracy Rate of Automated Parkinson's Disease Screening.

Integrated robotics platform with haptic control differentiates subjects with Parkinson's disease from controls and quantifies the motor effects of levodopa.

Online identification of functional regions in deep brain stimulation based on an unsupervised random forest with feature selection.

Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms.

A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson's Disease Characteristics.

Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network.

Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks.

Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects.

Phasic dopamine release identification using convolutional neural network.

A soft continuum robot, with a large variable-stiffness range, based on jamming.

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