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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 …
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
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
from ocular, motion, and muscular artifacts which degrade signal quality. To do this in real …
[HTML][HTML] Flexible 3D-printed EEG electrodes
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 …
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
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 …
carry out both personal and professional activities. In most cases, this information is …