Wearable EEG and beyond

AJ Casson - Biomedical engineering letters, 2019 - Springer
The electroencephalogram (EEG) is a widely used non-invasive method for monitoring the
brain. It is based upon placing conductive electrodes on the scalp which measure the small …

EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review

A Saibene, M Caglioni, S Corchs, F Gasparini - Sensors, 2023 - mdpi.com
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

EEG-based deep learning model for the automatic detection of clinical depression

PP Thoduparambil, A Dominic… - Physical and Engineering …, 2020 - Springer
Clinical depression is a neurological disorder that can be identified by analyzing the
Electroencephalography (EEG) signals. However, the major drawback in using EEG to …

The progress and trend of pro-environmental behavior research: a bibliometrics-based visualization analysis

H Lu, W Zhang, B Diao, Y Liu, H Chen, R Long… - Current Psychology, 2021 - Springer
Pro-environmental behavior (PEB) has always been a hot topic in academic and practical,
and it is highly necessary to explore the research progress and development trend of PEB …

[HTML][HTML] The 3D printing of nanocomposites for wearable biosensors: Recent advances, challenges, and prospects

SK Parupelli, S Desai - Bioengineering, 2023 - mdpi.com
Notably, 3D-printed flexible and wearable biosensors have immense potential to interact
with the human body noninvasively for the real-time and continuous health monitoring of …

Automatic seizure detection based on Gray Level Co-occurrence Matrix of STFT imaged-EEG

H Shayeste, BM Asl - Biomedical Signal Processing and Control, 2023 - Elsevier
Epilepsy is a complicated neurological disorder, that features recurrent seizures. During a
seizure, the repetitive action potentials lead to a high-frequency burst, and a hyper …

EEG authentication system based on one-and multi-class machine learning classifiers

L Hernández-Álvarez, E Barbierato, S Caputo… - Sensors, 2022 - mdpi.com
In the current Information Age, it is usual to access our personal and professional
information, such as bank account data or private documents, in a telematic manner. To …

Deep autoencoder for real-time single-channel EEG cleaning and its smartphone implementation using tensorflow lite with hardware/software acceleration

L **ng, AJ Casson - IEEE Transactions on Biomedical …, 2024 - ieeexplore.ieee.org
Objective: To remove signal contamination in electroencephalogram (EEG) traces coming
from ocular, motion, and muscular artifacts which degrade signal quality. To do this in real …

[HTML][HTML] Flexible 3D-printed EEG electrodes

A Velcescu, A Lindley, C Cursio, S Krachunov… - Sensors, 2019 - mdpi.com
For electroencephalography (EEG) in haired regions of the head, finger-based electrodes
have been proposed in order to part the hair and make a direct contact with the scalp …

[HTML][HTML] KeyEncoder: A secure and usable EEG-based cryptographic key generation mechanism

L Hernández-Álvarez, E Barbierato, S Caputo… - Pattern Recognition …, 2023 - Elsevier
Nowadays, a rapid, easy, and convenient access to our private information is essential to
carry out both personal and professional activities. In most cases, this information is …