A method for optimizing the artifact subspace reconstruction performance in low-density EEG
A Cataldo, S Criscuolo, E De Benedetto… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Electroencephalogram (EEG) plays a significant role in the analysis of cerebral activity,
although the recorded electrical brain signals are always contaminated with artifacts. This …
although the recorded electrical brain signals are always contaminated with artifacts. This …
Electroencephalography correlates of fear of heights in a virtual reality environment
A Apicella, S Barbato, LAB Chacόn, G D'Errico… - Acta IMEKO, 2023 - acta.imeko.org
An electroencephalography (EEG)-based classification system of three levels of fear of
heights is proposed. A virtual reality (VR) scenario representing a canyon was exploited to …
heights is proposed. A virtual reality (VR) scenario representing a canyon was exploited to …
Uncovering the correlation between COVID-19 and neurodegenerative processes: Toward a new approach based on EEG entropic analysis
A Cataldo, S Criscuolo, E De Benedetto, A Masciullo… - Bioengineering, 2023 - mdpi.com
COVID-19 is an ongoing global pandemic caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) virus. Although it primarily attacks the respiratory tract …
coronavirus 2 (SARS-CoV-2) virus. Although it primarily attacks the respiratory tract …
Low-density EEG correction with multivariate decomposition and subspace reconstruction
A hybrid method is proposed for removing artifacts from electroencephalographic (EEG)
signals. This relies on the integration of artifact subspace reconstruction (ASR) with …
signals. This relies on the integration of artifact subspace reconstruction (ASR) with …
Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG
Three levels of fear of heights were detected in subjects with different severities of
acrophobia, based on the electroencephalographic (EEG) and electrocardiographic (ECG) …
acrophobia, based on the electroencephalographic (EEG) and electrocardiographic (ECG) …
[HTML][HTML] Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals
Electroencephalography (EEG) allows the investigation of brain activity. However, neural
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …
Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals
Electroencephalography (EEG) is a non-invasive and cost-effective technique that allows
the investigation of brain activity. However, EEG recordings often suffer from artefacts that …
the investigation of brain activity. However, EEG recordings often suffer from artefacts that …
Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System
The present study introduces a brain–computer interface designed and prototyped to be
wearable and usable in daily life. Eight dry electroencephalographic sensors were adopted …
wearable and usable in daily life. Eight dry electroencephalographic sensors were adopted …
Motor Imagery-Based Brain-Computer Interface with Dry Sensors and Multimodal Feedback: Towards Tele-Rehabilitation
The present study illustrates a brain-computer interface designed and developed to be
wearable, portable, and user-friendly. Eight dry electroencephalographic sensors were …
wearable, portable, and user-friendly. Eight dry electroencephalographic sensors were …
Interpreting the Latent Space of a Convolutional Variational Autoencoder for Fully Automated Eye Blink Artefact Detection in Eeg Signals
Electroencephalography (EEG) allows the investigation of brain activity. However, neural
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …
signals often contain artefacts, hindering signal analysis. For example, eye-blink artefacts …