Neurology

Parkinson's Disease

Latest AI and machine learning research in parkinson's disease for healthcare professionals.

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In-Situ Force Augmentation Improves Surface Contact and Force Control.

Surgeons routinely perform surgery with noisy, sub-threshold, or obscured visual and haptic feedback...

An automatic non-invasive method for Parkinson's disease classification.

BACKGROUND AND OBJECTIVE: The automatic noninvasive identification of Parkinson's disease (PD) is at...

Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.

OBJECTIVE: Parkinson's disease (PD) is currently incurable, however proper treatment can ease the sy...

Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning.

There is growing interest in the potential of neuroimaging to help develop non-invasive biomarkers i...

Mimicking Neurotransmitter Release in Chemical Synapses via Hysteresis Engineering in MoS Transistors.

Neurotransmitter release in chemical synapses is fundamental to diverse brain functions such as moto...

Metric learning for Parkinsonian identification from IMU gait measurements.

Diagnosis of people with mild Parkinson's symptoms is difficult. Nevertheless, variations in gait pa...

Analysis of facial expressions in parkinson's disease through video-based automatic methods.

BACKGROUND: The automatic analysis of facial expressions is an evolving field that finds several cli...

Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer.

Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To ...

Robotic-assisted gait training in Parkinson's disease: a three-month follow-up randomized clinical trial.

PURPOSE: The aim of this study was to evaluate the efficacy of a robotic-assisted gait training (RAG...

Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.

Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion ...

Glycosaminoglycan levels in dried blood spots of patients with mucopolysaccharidoses and mucolipidoses.

UNLABELLED: Mucopolysaccharidoses (MPSs) and mucolipidoses (ML) are groups of lysosomal storage diso...

Classification of Parkinson's disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples.

BACKGROUND: The use of speech based data in the classification of Parkinson disease (PD) has been sh...

Impact of Cognitive Loading on Postural Control in Parkinson's Disease With Freezing of Gait.

To assess standing balance in Parkinson's disease (PD) patients with and without freezing of gait (F...

Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery.

BACKGROUND: Microelectrode recordings along preplanned trajectories are often used for accurate defi...

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.

Parkinson's disease (PD) is a major progressive neurodegenerative disorder. Accurate diagnosis of PD...

Parkinson's disease classification using gait analysis via deterministic learning.

Gait analysis plays an important role in maintaining the well-being of human mobility and health car...

Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.

We still do not know how the brain and its computations are affected by nerve cell deaths and their ...

Uncertainty Quantification of Oscillation Suppression During DBS in a Coupled Finite Element and Network Model.

Models of the cortico-basal ganglia network and volume conductor models of the brain can provide ins...

Serum Leptin Levels and Cognition in Parkinson's Disease Patients.

INTRODUCTION: To investigate the relationship between serum leptin levels and cognition in Parkinson...

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