How wearable sensors can support Parkinson's disease diagnosis and treatment: a systematic review

E Rovini, C Maremmani, F Cavallo - Frontiers in neuroscience, 2017 - frontiersin.org
Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …

Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review

M Belić, V Bobić, M Badža, N Šolaja… - Clinical neurology and …, 2019 - Elsevier
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

Objective measurement versus clinician-based assessment for Parkinson's disease

A Guerra, V D'Onofrio, F Ferreri… - Expert Review of …, 2023 - Taylor & Francis
Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …

Vision-based finger tapping test in patients with Parkinson's disease via spatial-temporal 3D hand pose estimation

Z Guo, W Zeng, T Yu, Y Xu, Y Xiao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Finger tapping test is crucial for diagnosing Parkinson's Disease (PD), but manual visual
evaluations can result in score discrepancy due to clinicians' subjectivity. Moreover …

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease

D Buongiorno, I Bortone, GD Cascarano… - BMC Medical Informatics …, 2019 - Springer
Background Assessment and rating of Parkinson's Disease (PD) are commonly based on
the medical observation of several clinical manifestations, including the analysis of motor …

[HTML][HTML] Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning

F Cavallo, A Moschetti, D Esposito… - Parkinsonism & related …, 2019 - Elsevier
Introduction Parkinson's disease (PD) is a common neurodegenerative disorder
characterized by disabling motor and non-motor symptoms. For example, idiopathic …

Towards a comprehensive solution for a vision-based digitized neurological examination

TH Hoang, M Zehni, H Xu, G Heintz… - IEEE journal of …, 2022 - ieeexplore.ieee.org
The ability to use digitally recorded and quantified neurological exam information is
important to help healthcare systems deliver better care, in-person and via telehealth, as …

Quick computer aided differential diagnostics based on repetitive finger tapping in Parkinson's disease and atypical parkinsonisms

M Belić, Z Radivojević, V Bobić, V Kostić… - Heliyon, 2023 - cell.com
Background Parkinson's disease (PD) is the second most common neurodegenerative
disorder whose prevalence rises with age, yet clinical diagnosis is still a challenging task …

Spectral parameters for finger tapping quantification

VN Bobić, M Djurić-Jovičić, N Jarrasse… - … Series: Electronics and …, 2017 - hal.science
A miniature inertial sensor placed on fingertip of index finger while performing finger tapping
test can be used for an objective quantification of finger tapping motion. Temporal and …

Application of artificial intelligence for kinematic signal processing in diagnostics of Parkinson's disease and atypical parkinsonisms: doctoral dissertation

M Belić - Универзитет у Београду, 2023 - nardus.mpn.gov.rs
Clinical diagnosis of Parkinson's disease (PD) and atypical parkinsonisms remains a
challenging and time-consuming task. This study sought to utilize AI to provide quick support …