DICE-net: a novel convolution-transformer architecture for Alzheimer detection in EEG signals

A Miltiadous, E Gionanidis, KD Tzimourta… - IEEE …, 2023 - ieeexplore.ieee.org
Objective: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects
a significant percentage of the elderly. EEG has emerged as a promising tool for the timely …

A dataset of scalp EEG recordings of Alzheimer's disease, frontotemporal dementia and healthy subjects from routine EEG

A Miltiadous, KD Tzimourta, T Afrantou, P Ioannidis… - Data, 2023 - mdpi.com
Recently, there has been a growing research interest in utilizing the electroencephalogram
(EEG) as a non-invasive diagnostic tool for neurodegenerative diseases. This article …

Recent advances in multiplexed wearable sensor platforms for real-time monitoring lifetime stress: a review

H Kim, J Song, S Kim, S Lee, Y Park, S Lee, S Lee… - Biosensors, 2023 - mdpi.com
Researchers are interested in measuring mental stress because it is linked to a variety of
diseases. Real-time stress monitoring via wearable sensor systems can aid in the …

Evaluating the window size's role in automatic EEG epilepsy detection

V Christou, A Miltiadous, I Tsoulos, E Karvounis… - Sensors, 2022 - mdpi.com
Electroencephalography is one of the most commonly used methods for extracting
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …

Mental Stress Classification Based on Selected Electroencephalography Channels Using Correlation Coefficient of Hjorth Parameters

A Hag, F Al-Shargie, D Handayani, H Asadi - Brain Sciences, 2023 - mdpi.com
Electroencephalography (EEG) signals offer invaluable insights into diverse activities of the
human brain, including the intricate physiological and psychological responses associated …

iVR-fNIRS: studying brain functions in a fully immersive virtual environment

K Peng, Z Moussavi, KD Karunakaran… - …, 2024 - spiedigitallibrary.org
Immersive virtual reality (iVR) employs head-mounted displays or cave-like environments to
create a sensory-rich virtual experience that simulates the physical presence of a user in a …

Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG

A Apicella, P Arpaia, S Barbato, G D'Errico… - Information Systems …, 2024 - Springer
Three levels of fear of heights were detected in subjects with different severities of
acrophobia, based on the electroencephalographic (EEG) and electrocardiographic (ECG) …

Sex-related differences in young binge drinkers on the neurophysiological response to stress in virtual reality

RD Moreno-Fernández, E Bernabéu-Brotons… - Frontiers in public …, 2024 - frontiersin.org
Background Stress is one of the main environmental factors involved in the onset of different
psychopathologies. In youth, stressful life events can trigger inappropriate and health …

Influencer Based Virtual Reality Stroop Task

E Battegazzorre, F Strada, L De Francesco… - IEEE …, 2023 - ieeexplore.ieee.org
Computerized Stroop tasks have proven to be valuable tools in experimental and clinical
psychology, providing reliable and reproducible assessments of cognitive processes. This …

Mental Stress Classification based on Selected EEG Channels using Correlation Coefficient of Hjorth Parameters

A Hag, F Al-Shargie, D Handayani, H Asadi - 2023 - preprints.org
Electroencephalography (EEG) signals provide valuable insights into various activities of the
human brain, including the detection of mental stress, which is a complex physiological and …