Neurology

Parkinson's Disease

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

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Deep Learning based Gait Abnormality Detection using Wearable Sensor System.

Gait is an extraordinary complex function of human body that involves the activation of entire visce...

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.

Parkinson's Disease (PD) is the second most common neurodegenerative disorder worldwide, causing bot...

A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on F-FDG PET Images.

Idiopathic Parkinsons disease and atypical parkinsonian syndromes have similar symptoms at early dis...

Deep Learning Techniques for Improving Digital Gait Segmentation.

Wearable technology for the automatic detection of gait events has recently gained growing interest,...

Improving Stability in Upper Limb Rehabilitation Using Variable Stiffness.

In a robotic rehabilitation setup, patient's safety and interaction stability are critical throughou...

Robotics and ophthalmology: Are we there yet?

Ophthalmology is a field that is now seeing the integration of robotics in its surgical procedures a...

Robot-based assessment of sitting and standing balance: preliminary results in Parkinson's disease.

Postural responses to unstable conditions or perturbations are important predictors of the risk of f...

Assessment of human wrist rigidity and pain in post-traumatic patients.

The aim of this work is to present a novel robot-based method to assess the sources of a lack of fun...

Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins.

Deep learning has been increasingly and widely used to solve numerous problems in various fields wit...

Three Dimensional Analysis of SPECT Images for Diagnosing Early Parkinson's Disease using Radial Basis Function Kernel - Extreme Learning Machine.

BACKGROUND: Parkinson's Disease (PD) is caused by the deficiency of dopamine, the neurotransmitter t...

Fuzzy Classification Methods Based Diagnosis of Parkinson's disease from Speech Test Cases.

BACKGROUND: Together with the Alzheimer's disease, Parkinson's disease is considered as one of the t...

Fusion of WPT and MFCC feature extraction in Parkinson's disease diagnosis.

BACKGROUND: Parkinson's disease (PD) is a neurological disorder, progressive in nature. In order to ...

ZerobotĀ®: A Remote-controlled Robot for Needle Insertion in CT-guided Interventional Radiology Developed at Okayama University.

Since 2012, we have been developing a remote-controlled robotic system (ZerobotĀ®) for needle inserti...

Effectiveness of robot-assisted gait training on motor impairments in people with Parkinson's disease: a systematic review and meta-analysis.

The aim of this systematic review and meta-analysis was to evaluate the effectiveness of robot-assis...

[Effects of treatment on ultrastructure of olfactory bulb and GFAP expression in mice with Parkinson's disease].

OBJECTIVE: To observe the effects of treatment on the ultrastructure of olfactory bulb and the expr...

Depression Severity Classification from Speech Emotion.

Major Depressive Disorder (MDD) is a common psychiatric illness. Automatically classifying depressio...

A machine learning approach to targeted balance rehabilitation in people with Parkinson's disease using a sparse sensor set.

Clinical Balance Assessments Often Rely On Functional Tasks As A Proxy For Balance (E.G., Timed Up A...

Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors.

Motor fluctuations between "OFF" state (with no benefit from medication) and " ON" state (with optim...

Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in...

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