Past, present, and future of deep brain stimulation: hardware, software, imaging, physiology and novel approaches

J Frey, J Cagle, KA Johnson, JK Wong… - Frontiers in …, 2022 - frontiersin.org
Deep brain stimulation (DBS) has advanced treatment options for a variety of neurologic and
neuropsychiatric conditions. As the technology for DBS continues to progress, treatment …

[PDF][PDF] A hybrid two-stage SqueezeNet and support vector machine system for Parkinson's disease detection based on handwritten spiral patterns

LS Bernardo, R Damaševičius… - … Journal of Applied …, 2021 - intapi.sciendo.com
Parkinson's disease (PD) is the second most common neurological disorder in the world.
Nowadays, it is estimated that it affects from 2% to 3% of the global population over 65 years …

A mobile application for smart computer-aided self-administered testing of cognition, speech, and motor impairment

A Lauraitis, R Maskeliūnas, R Damaševičius… - Sensors, 2020 - mdpi.com
We present a model for digital neural impairment screening and self-assessment, which can
evaluate cognitive and motor deficits for patients with symptoms of central nervous system …

[HTML][HTML] Artificial Intelligence in the Diagnosis and Quantitative Phenoty** of Hyperkinetic Movement Disorders: A Systematic Review

JA Vizcarra, S Yarlagadda, K **e, CA Ellis… - Journal of Clinical …, 2024 - mdpi.com
Background: Hyperkinetic movement disorders involve excessive, involuntary movements
such as ataxia, chorea, dystonia, myoclonus, tics, and tremor. Recent advances in artificial …

A smartphone application for automated decision support in cognitive task based evaluation of central nervous system motor disorders

A Lauraitis, R Maskeliūnas… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Background and Objective: New technology enables constant boost to the powers of mobile
devices, which in the previous years have transformed from simple mobile phones to smart …

Hash transformation and machine learning-based decision-making classifier improved the accuracy rate of automated Parkinson's disease screening

TL Yang, CH Lin, WL Chen, HY Lin… - … on Neural Systems …, 2019 - ieeexplore.ieee.org
Digitalized hand-drawn pattern is a noninvasive and reproducible assistive manner to obtain
hand actions and motions for evaluating functional tremors and upper-limb movement …

Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study

AA Horvath, DB Berente, B Vertes, D Farkas… - Scientific Reports, 2022 - nature.com
Mild cognitive impairment (MCI) is the prodromal phase of dementia, and it is highly
underdiagnosed in the community. We aimed to develop an automated, rapid (< 5 min) …

tremor class scaling for Parkinson disease patients using an array X-band microwave Doppler-based upper limb movement quantizer

CH Lin, JX Wu, JC Hsu, PY Chen, NS Pai… - IEEE sensors …, 2021 - ieeexplore.ieee.org
Consensus criteria for tremor classification in Parkinson's disease (PD) patients are clinically
important for automatically evaluating the PD rating scale. Wearable sensing tools with …

EMD-based data augmentation method applied to handwriting data for the diagnosis of Essential Tremor using LSTM networks

JFA Otero, K López-de-Ipina, OS Caballer… - Scientific Reports, 2022 - nature.com
The increasing capacity of today's technology represents great advances in diagnosing
diseases using standard procedures supported by computer science. Deep learning …

Discrete cosine transform for the analysis of essential tremor

J Solé-Casals, I Anchustegui-Echearte… - Frontiers in …, 2019 - frontiersin.org
Essential tremor (ET) is the most common movement disorder. In fact, its prevalence is about
20 times higher than that of Parkinson's disease. In addition, studies have shown that a high …