Parkinson's disease classification using gait analysis via deterministic learning

W Zeng, F Liu, Q Wang, Y Wang, L Ma, Y Zhang - Neuroscience letters, 2016 - Elsevier
Gait analysis plays an important role in maintaining the well-being of human mobility and
health care, and is a valuable tool for obtaining quantitative information on motor deficits in …

Application of modelling and nanotechnology-based approaches: The emergence of breakthroughs in theranostics of central nervous system disorders

P Hassanzadeh, F Atyabi, R Dinarvand - Life sciences, 2017 - Elsevier
The limited efficiency of the current treatment options against the central nervous system
(CNS) disorders has created increasing demands towards the development of novel …

A review of presented mathematical models in Parkinson's disease: black-and gray-box models

Y Sarbaz, H Pourakbari - Medical & biological engineering & computing, 2016 - Springer
Abstract Parkinson's disease (PD), one of the most common movement disorders, is caused
by damage to the central nervous system. Despite all of the studies on PD, the formation …

Neuroprotective effect of chlorogenic acid on Parkinson's disease like symptoms through boosting the autophagy in zebrafish

X Gao, B Zhang, Y Zheng, X Liu, P Rostyslav… - European Journal of …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by both motor and non-motor symptoms, including
hypokinesia, postural instability, dopaminergic (DA) neurons loss, and α-synuclein (α-syn) …

Hopf bifurcation mechanism analysis in an improved cortex-basal ganglia network with distributed delays: An application to Parkinson's disease

Z Wang, B Hu, W Zhou, M Xu, D Wang - Chaos, Solitons & Fractals, 2023 - Elsevier
In this paper, we introduce general distributed delays (in pathways between different
neurons) and self-feedback distributed delays (in self-feedback pathways) into an improved …

A Close loop multi-area brain stimulation control for Parkinson's Patients Rehabilitation

M Gheisarnejad, B Faraji, Z Esfahani… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
In recent years, deep brain stimulation (DBS) has been one of the most effective methods for
treating movement disorders, including hand tremor in advanced Parkinson's disease (PD) …

Adaptive multi symptoms control of Parkinson's disease by deep reinforcement learning

B Faraji, K Rouhollahi, SM Paghaleh… - … Signal Processing and …, 2023 - Elsevier
Parkinson's disease (PD) is one of the really frequent disorders, with hand and head tremors
and rigidity being the most common sequelae. Deep brain stimulation (DBS) is a common …

Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson's disease

S Rahimi, F Towhidkhah, G Baghdadi… - Frontiers in Aging …, 2023 - frontiersin.org
Introduction Parkinson's disease (PD) is a neurodegenerative disorder with different motor
and neurocognitive symptoms. Tremor is a well-known symptom of this disease. Increasing …

Parkinson's disease classification and medication adherence monitoring using smartphone-based gait assessment and deep reinforcement learning algorithm

AJP Salgueiro, Y Shichkina, AG García… - Procedia Computer …, 2021 - Elsevier
For the diagnosis and classification of Parkinson's patients, the unified scale of Parkinson's
patients (Unified Parkinson's Disease Rating Scale–UPDRS) is used, which requires the …

An adaptive ADRC control for parkinson's patients using machine learning

B Faraji, M Gheisarnejad, M Yalsavar… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Parkinson's disease (PD) is one of the most common diseases that its main complications
are hand and head tremors and inflexibility of muscles. One of the prevalent treatments that …