Neurology

Parkinson's Disease

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

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A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns.

Parkinson is the second most common neurodegenerative disease, mainly related to progressive locomot...

Jul 2022 36086098
End-to-end Deep Learning of Polysomnograms for Classification of REM Sleep Behavior Disorder.

Rapid eye movement (REM) sleep behavior disorder (RBD) is parasomnia and a prodromal manifestation o...

Jul 2022 36086216
Towards a Closed-loop Neuro-Robotic Approach to DBS Electrode Implantation based on Real-Time Wrist Rigidity Evaluation.

The iHandU system is a wearable device that quantitatively evaluates changes in wrist rigidity durin...

Jul 2022 36086618
Frameless Robot-Assisted vs Frame-Based Awake Deep Brain Stimulation Surgery: An Evaluation of Technique and New Challenges.

BACKGROUND: Methodological approaches to deep brain stimulation (DBS) continue to evolve from awake ...

Mar 2022 34989699
Optimized Deep Learning for the Classification of Parkinson's Disease Based on Voice Features.

Parkinson's disease (PD) is a neurodegenerative disorder. Hence, there is a tremendous demand for ad...

Jan 2022 37075094
Robot-assisted gait training in patients with Parkinson's disease: Implications for clinical practice. A systematic review.

BACKGROUND: Gait impairments are common disabling symptoms of Parkinson's disease (PD). Among the ap...

Jan 2022 35570502
Self-normalized Classification of Parkinson's Disease DaTscan Images.

Classifying SPECT images requires a preprocessing step which normalizes the images using a normaliza...

Dec 2021 35425663
Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning.

Parkinson's disease (PD) is a common neurodegenerative disease presenting with both motor and non-mo...

Nov 2021 34891283
Robot-induced hallucinations in Parkinson's disease depend on altered sensorimotor processing in fronto-temporal network.

Hallucinations in Parkinson's disease (PD) are disturbing and frequent non-motor symptoms and consti...

Apr 2021 33910980
Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.

Gait automaticity is reduced in patients with Parkinson disease (PD) due to impaired habitual contro...

Feb 2021 33592882
Robot-Assisted Stereotaxy Reduces Target Error: A Meta-Analysis and Meta-Regression of 6056 Trajectories.

BACKGROUND: The pursuit of improved accuracy for localization and electrode implantation in deep bra...

Jan 2021 33045739
Man-machine interaction-based motion control of a robotic walker.

BACKGROUND: The aging population brings the problem of healthcare and dyskinesia. The lack of mobili...

Jan 2021 33074202
Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.

Remote and objective assessment of the motor symptoms of Parkinson's disease is an area of great int...

Jan 2021 33682727
Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson's Disease?

The use of artificial intelligence (AI) to help diagnose and manage disease is of increasing interes...

Jan 2021 34219671
Computational framework for detection of subtypes of neuropsychiatric disorders based on DTI-derived anatomical connectivity.

Many brain disorders - such as Alzheimer's disease, Parkinson's disease, schizophrenia and autism - ...

Oct 2020 32894990
Automated Detection of Enhanced DBS Device Settings.

Continuous deep brain stimulation (DBS) of the ventral striatum (VS) is an effective treatment for s...

Oct 2020 33937916
Frameless ROSA® Robot-Assisted Lead Implantation for Deep Brain Stimulation: Technique and Accuracy.

BACKGROUND: Frameless robotic-assisted surgery is an innovative technique for deep brain stimulation...

Jul 2020 31647105
Parkinson's Disease Classification using Pitch Synchronous Speech Segments and Fine Gaussian Kernels based SVM.

Researchers have been using signal processing based methods to assess speech from Parkinson's diseas...

Jul 2020 33017972
Predicting Early Stage Drug Induced Parkinsonism using Unsupervised and Supervised Machine Learning.

Drug Induced Parkinsonism (DIP) is the most common, debilitating movement disorder induced by antips...

Jul 2020 33018101
The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.

Consumer wearables can provide objective monitoring of movement disorders and may identify new pheno...

Jun 2020 32570510
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