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 …

Parkinson's disease in China: a forty-year growing track of bedside work

G Li, J Ma, S Cui, Y He, Q Xiao, J Liu… - Translational …, 2019 - Springer
The number and health burden of Parkinson's disease increase rapidly in China. It is
estimated that China will have nearly half of the Parkinson's disease population in the world …

The discerning eye of computer vision: Can it measure Parkinson's finger tap bradykinesia?

S Williams, Z Zhao, A Hafeez, DC Wong… - Journal of the …, 2020 - Elsevier
Objective The worldwide prevalence of Parkinson's disease is increasing. There is urgent
need for new tools to objectively measure the condition. Existing methods to record the …

Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors

N Shawen, MK O'Brien, S Venkatesan, L Lonini… - … of neuroengineering and …, 2020 - Springer
Background Parkinson's disease (PD) is a progressive neurological disease, with
characteristic motor symptoms such as tremor and bradykinesia. There is a growing interest …

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 …

Developing and assessing a new web-based tapping test for measuring distal movement in Parkinson's disease: a Distal Finger Tapping test

N Akram, H Li, A Ben-Joseph, C Budu, DA Gallagher… - Scientific reports, 2022 - nature.com
Disability in Parkinson's disease (PD) is measured by standardised scales including the
MDS-UPDRS, which are subject to high inter and intra-rater variability and fail to capture …

Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®

A Antonini, H Reichmann, G Gentile, M Garon… - Frontiers in …, 2023 - frontiersin.org
Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms. As
disease progresses, fluctuations in the response to levodopa treatment may develop, along …

Supervised classification of bradykinesia in Parkinson's disease from smartphone videos

S Williams, SD Relton, H Fang, J Alty, R Qahwaji… - Artificial Intelligence in …, 2020 - Elsevier
Background Slowness of movement, known as bradykinesia, is the core clinical sign of
Parkinson's and fundamental to its diagnosis. Clinicians commonly assess bradykinesia by …

Using wearables to assess bradykinesia and rigidity in patients with Parkinson's disease: a focused, narrative review of the literature

I Teshuva, I Hillel, E Gazit, N Giladi, A Mirelman… - Journal of Neural …, 2019 - Springer
The potential of using wearable technologies for the objective assessment of motor
symptoms in Parkinson's disease (PD) has gained prominence recently. Nonetheless …

Contra-directional expression of plasma superoxide dismutase with lipoprotein cholesterol and high-sensitivity C-reactive protein as important markers of Parkinson's …

W Yang, Z Chang, R Que, G Weng, B Deng… - Frontiers in aging …, 2020 - frontiersin.org
Aim: Oxidative stress and inflammation play critical roles in the neuropathogenesis of PD.
We aimed to evaluate oxidative stress and inflammation status by measuring serum …