Neuropsychological sequelae of coronary heart disease in women: a systematic review

NFN Linares, M Poitras, J Burkauskas… - Neuroscience & …, 2021 - Elsevier
Heart disease, such as coronary heart disease (CHD), is the leading cause of death among
aging women. However, over the past years, the mortality rate has declined, resulting in an …

Analgesia, sedation, and neuromuscular blockade during targeted temperature management after cardiac arrest

RR Riker, DJ Gagnon, T May, DB Seder… - Best practice & research …, 2015 - Elsevier
The approach to sedation, analgesia, and neuromuscular blockade during targeted
temperature management (TTM) remains largely unstudied, forcing clinicians to adapt …

Mild cognitive impairment detection with optimally selected EEG channels based on variational mode decomposition and supervised machine learning

M Aljalal, M Molinas, SA Aldosari, K AlSharabi… - … Signal Processing and …, 2024 - Elsevier
Detecting mild cognitive impairment (MCI), which is typically the earliest stage of dementia,
is essential for managing dementia. Recently, researchers have explored the use of …

Automatic diagnosis of mild cognitive impairment using electroencephalogram spectral features

M Kashefpoor, H Rabbani… - Journal of Medical Signals …, 2016 - journals.lww.com
Alzheimer's disease (AD) is one of the most expensive and fatal diseases in the elderly
population. Up to now, no cure have been found for AD, so early stage diagnosis is the only …

Cognitive function in patients with stable coronary heart disease: Related cerebrovascular and cardiovascular responses

M Gayda, V Gremeaux, L Bherer, M Juneau, J Drigny… - PLoS …, 2017 - journals.plos.org
Chronic exercise has been shown to prevent or slow age-related decline in cognitive
functions in otherwise healthy, asymptomatic individuals. We sought to assess cognitive …

Supervised dictionary learning of EEG signals for mild cognitive impairment diagnosis

M Kashefpoor, H Rabbani, M Barekatain - Biomedical Signal Processing …, 2019 - Elsevier
Abstract Mild Cognitive Impairment (MCI) is an intermediate stage of memory decline
between normal aging and Alzheimer's disease or other types of dementia. MCI diagnosis is …

Selecting EEG channels and features using multi-objective optimization for accurate MCI detection: validation using leave-one-subject-out strategy

M Aljalal, SA Aldosari, M Molinas, FA Alturki - Scientific Reports, 2024 - nature.com
Effective management of dementia requires the timely detection of mild cognitive impairment
(MCI). This paper introduces a multi-objective optimization approach for selecting EEG …

Prevalence of mild cognitive impairment in employable patients after acute coronary event in cardiac rehabilitation

A Salzwedel, MD Heidler, K Haubold… - Vascular Health and …, 2017 - Taylor & Francis
Introduction Adequate cognitive function in patients is a prerequisite for successful
implementation of patient education and lifestyle coping in comprehensive cardiac …

Prevalence and risk factors of cognitive impairment in Chinese patients with hypertension: a systematic review and meta-analysis

C Xie, D Zhong, Y Zhang, X Liu, L Zhang, X Luo… - Frontiers in …, 2024 - frontiersin.org
Background Cognitive impairment is prevalent in Chinese patients with hypertension;
however, current evidence on prevalence and risk factors is required to be synthesized …

Mild Cognitive Impairment Detection from EEG Signals Using Combination of EMD Decomposition and Machine Learning

M Aljalal, SA Aldosari, M Molinas… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
Mild cognitive impairment (MCI) is the earliest stage of dementia, and its detection is crucial
for disease management. Electroencephalography (EEG) has gained popularity as a tool for …