Latest AI and machine learning research in parkinson's disease for healthcare professionals.
PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previou...
In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clini...
INTRODUCTION: Technological solutions for quantifying Parkinson's disease (PD) symptoms may provide ...
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is considered a degenerative disorder that affect...
Thalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. I...
Dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) require differential management despite...
BACKGROUND: Currently the most consistent, widely accepted and detailed instrument to rate Parkinson...
Despite having notable advantages over established machine learning methods for time series analysis...
Simultaneous reconstruction of activity and attenuation using the maximum-likelihood reconstruction ...
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and accurate measurem...
In the last decade robotic devices have been applied in rehabilitation to overcome walking disabilit...
Wavelet Neural Networks are a combination of neural networks and wavelets and have been mostly used ...
OBJECTIVE: To determine the circuit elements required to theoretically describe the stimulus wavefor...
Predicting how a point mutation alters a protein's stability can guide pharmaceutical drug design in...
PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT...
Parkinson disease (PD) is prevalent in elderly individuals and is characterized by selective degener...
OBJECTIVES: Various exercise strategies have been suggested to address movement deficits in order to...
The efficacy of deep brain stimulation (DBS) for Parkinson's disease (PD) depends in part on the pos...
OBJECTIVE: The study of gait in Parkinson's disease is important because it can provide insights int...
BACKGROUND AND PURPOSE: In this study we attempt to automatically classify individual patients with ...
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, ...