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A review of presented mathematical models in Parkinson's disease: black-and gray-box models
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 …
by damage to the central nervous system. Despite all of the studies on PD, the formation …
Bag of samplings for computer-assisted Parkinson's disease diagnosis based on recurrent neural networks
Parkinson's Disease (PD) is a clinical syndrome that affects millions of people worldwide.
Although considered as a non-lethal disease, PD shortens the life expectancy of the …
Although considered as a non-lethal disease, PD shortens the life expectancy of the …
A novel closed-loop deep brain stimulation technique for parkinson's patients rehabilitation utilizing machine learning
Deep brain stimulation (DBS) is an effective treatment for movement problems caused by a
variety of neurodegenerative illnesses, including Parkinson's disease (PD). Researchers …
variety of neurodegenerative illnesses, including Parkinson's disease (PD). Researchers …
Adaptive multi symptoms control of Parkinson's disease by deep reinforcement learning
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 …
and rigidity being the most common sequelae. Deep brain stimulation (DBS) is a common …
Long latency reflexes in clinical neurology: a systematic review
Background: Long latency reflexes (LLRs) are impaired in a wide array of clinical conditions.
We aimed to illustrate the clinical applications and recent advances of LLR in various …
We aimed to illustrate the clinical applications and recent advances of LLR in various …
Modeling of cerebellar transcranial electrical stimulation effects on hand tremor in Parkinson's disease
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 …
and neurocognitive symptoms. Tremor is a well-known symptom of this disease. Increasing …
Do the chaotic features of gait change in Parkinson's disease?
Some previous studies have focused on chaotic properties of Parkinson's disease (PD). It
seems that considering PD from dynamical systems perspective is a relevant method that …
seems that considering PD from dynamical systems perspective is a relevant method that …
Modeling the gait of normal and Parkinsonian persons for improving the diagnosis
In this study, we present a model for the gait of normal and Parkinson's disease (PD)
persons. Gait is semi-periodic and has fractal properties. Sine circle map (SCM) relation has …
persons. Gait is semi-periodic and has fractal properties. Sine circle map (SCM) relation has …
Simultaneous control of rigidity and hand tremor by adaptive fuzzy Q-learning
Deep brain stimulation (DBS) is a successful treatment for the symptoms of various
neurodegenerative diseases, including Parkinson's disease (PD). While DBS has been …
neurodegenerative diseases, including Parkinson's disease (PD). While DBS has been …
Advanced non-linear control based on artificial intelligence tuner for hand tremor suppression
One of the most common symptoms among diverse patients (eg Parkinson's disease,
essential tremor) is hand tremor. Deep brain stimulation (DBS) has been a popular method …
essential tremor) is hand tremor. Deep brain stimulation (DBS) has been a popular method …