Latest AI and machine learning research in parkinson's disease for healthcare professionals.
OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring t...
An underwater manipulator is essential for underwater robotic sampling and other service operations....
In the last few years, the importance of measuring gait characteristics has increased tenfold due to...
BACKGROUND: Progressive supranuclear palsy (PSP), a neurodegenerative conditions may be difficult to...
Classic motion abnormalities in Parkinson's disease (PD), such as tremor, bradykinesia, or rigidity...
BACKGROUND: Recognition of human behavioral activities using local field potential (LFP) signals rec...
Untargeted metabolomics may become a standard approach to address diagnostic requests, but, at prese...
PURPOSE: Visibility of nigrosome 1 in the substantia nigra (SN) is used as an MR imaging biomarker f...
Some applications are very sensitive to the weight of the robot, such as space manipulation or any u...
OBJECTIVE: To assess the classification performance between Parkinson's disease (PD) and normal cont...
Tracking symptoms progression in the early stages of Parkinson's disease (PD) is a laborious endeavo...
Parkinson's disease (PD) is the second most common neurodegenerative disease, and α-synuclein plays...
Neurodegenerative diseases are excessively affecting millions of patients, especially elderly people...
PURPOSE: It is vital to appropriately power clinical trials towards discovery of novel disease-modif...
OBJECTIVE: Deep brain stimulation (DBS) of the internal segment of the globus pallidus (GPi) in pati...
This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight...
OBJECTIVE: Two important and difficult tasks during a bone drilling procedure are guiding the orient...
In this paper, we have investigated the differences in the voices of Parkinson's disease (PD) and ag...
Parkinson's disease (PD) is a slowly progressive geriatric disease, which can be one of the leading ...
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance e...
Early diagnosis of Parkinson's diseases (PD) is challenging; applying machine learning (ML) models t...