Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment
M Belyaev, M Murugappan, A Velichko… - arXiv preprint arXiv …, 2023 - arxiv.org
The study presents the concept of a computationally efficient machine learning (ML) model
for diagnosing and monitoring Parkinson's disease (PD) in an Internet of Things (IoT) …
for diagnosing and monitoring Parkinson's disease (PD) in an Internet of Things (IoT) …
A prospective multicenter validation study of a machine learning algorithm classifier on quantitative electroencephalogram for differentiating between dementia with …
Y Suzuki, M Suzuki, K Shigenobu, K Shinosaki, Y Aoki… - Plos one, 2022 - journals.plos.org
Background and purpose An early and accurate diagnosis of Dementia with Lewy bodies
(DLB) is critical because treatments and prognosis of DLB are different from Alzheimer's …
(DLB) is critical because treatments and prognosis of DLB are different from Alzheimer's …
Electroencephalographic spectro-spatial covariance patterns related to phenoconversion in isolated rapid eye movement sleep behavior disorder and their …
Study Objectives This study aimed to identify electroencephalographic (EEG) spectro-spatial
covariance patterns associated with phenoconversion in isolated rapid eye movement sleep …
covariance patterns associated with phenoconversion in isolated rapid eye movement sleep …
Detecting Alzheimer's Disease in EEG Data with Machine Learning and the Graph Discrete Fourier Transform
Alzheimer Disease (AD) represents an escalating public health concern globally. Precise
early diagnosis is pivotal for efficacious intervention and care. Over recent years, there's …
early diagnosis is pivotal for efficacious intervention and care. Over recent years, there's …
The predictive value of normal EEGs in dementia due to Alzheimer's disease
CT Briels, CJ Stam, P Scheltens… - Annals of Clinical and …, 2021 - Wiley Online Library
Objective To determine differences in clinical presentation and disease progression
between patients with dementia due to AD with visually normal and abnormal EEG …
between patients with dementia due to AD with visually normal and abnormal EEG …
Necessity of quantitative EEG in daily clinical practice
J Pastor, L Vega-Zelaya, E Martín - … —From Basic Research to …, 2021 - books.google.com
The two main problems in the daily clinical practice of EEG are i) its under-use dedicated
mainly to epilepsy and ii) subjectivity in de visu analysis. However, both problems can be …
mainly to epilepsy and ii) subjectivity in de visu analysis. However, both problems can be …
The first derivative of the electroencephalogram facilitates tracking of electroencephalographic alpha band activity during general anesthesia
BACKGROUND: Intraoperative neuromonitoring can help to navigate anesthesia.
Pronounced alpha oscillations in the frontal electroencephalogram (EEG) appear to predict …
Pronounced alpha oscillations in the frontal electroencephalogram (EEG) appear to predict …
Optimizing MEG-EEG Mapping in Resource-Constrained Non-Intrusive Bio-Magnetic Sensing Systems: A Data-Driven Approach
M Elshafei, ZM Fadlullah… - 2023 11th International …, 2023 - ieeexplore.ieee.org
While Magnetoencephalography (MEG) and electroencephalography (EEG) are well-known
neuroimaging techniques to capture a myriad of brain activities and stimulations, accessing …
neuroimaging techniques to capture a myriad of brain activities and stimulations, accessing …
The neurophysiology of healthy and pathological aging: A comprehensive systematic review
As the population of older adults grows, so does the prevalence of neurocognitive disorders
such as mild cognitive impairment (MCI) and dementia. While biochemical, genetic, and …
such as mild cognitive impairment (MCI) and dementia. While biochemical, genetic, and …
Potential clinical applications and future prospect of wireless and mobile electroencephalography on the assessment of cognitive impairment
F Li, N Egawa, S Yoshimoto, H Mizutani, K Kobayashi… - Bioelectricity, 2019 - liebertpub.com
Electroencephalography (EEG) systems have been used for assessing cognitive function in
dementia for several decades. Studies have demonstrated that EEG in Alzheimer's disease …
dementia for several decades. Studies have demonstrated that EEG in Alzheimer's disease …