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 …
[HTML][HTML] Specific feature selection in wearable EEG-based transducers for monitoring high cognitive load in neurosurgeons
The electroencephalographic (EEG) features for discriminating high and low cognitive load
associated with fine motor activity in neurosurgeons were identified by combining wearable …
associated with fine motor activity in neurosurgeons were identified by combining wearable …
Lean Six Sigma to reduce the acute myocardial infarction mortality rate: a single center study
Purpose Cardiovascular diseases are the leading cause of death worldwide. In Italy, acute
myocardial infarction (AMI) is a major cause of hospitalization and healthcare costs. AMI is a …
myocardial infarction (AMI) is a major cause of hospitalization and healthcare costs. AMI is a …
[图书][B] Wearable Brain-Computer Interfaces: Prototyping EEG-Based Instruments for Monitoring and Control
This book presents a complete overview of the main EEG-based Brain-Computer Interface
(BCI) paradigms and the related practical solutions for their design, prototyping, and testing …
(BCI) paradigms and the related practical solutions for their design, prototyping, and testing …
Multimodal feedback in assisting a wearable brain-computer interface based on motor imagery
A multimodal sensory feedback was exploited in the present study to improve the detection
of neurological phenomena associated with motor imagery. At this aim, visual and haptic …
of neurological phenomena associated with motor imagery. At this aim, visual and haptic …
Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy
A primary challenge to make motor-imagery Brain-Computer Interfaces (MI-BCIs)
technologies usable and actually used out-of-the-lab consists of providing EEG systems that …
technologies usable and actually used out-of-the-lab consists of providing EEG systems that …
EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring
P Arpaia, G Carone, N Castelli… - … on Metrology for …, 2023 - ieeexplore.ieee.org
A neurofeedback (NF)-supported training is proposed to enable neurosurgeons to learn how
to regulate their emotions. Electroencephalographic (EEG) signal and heart rate (HR) of 5 …
to regulate their emotions. Electroencephalographic (EEG) signal and heart rate (HR) of 5 …
Feasibility and Accuracy of a Dry and Wireless EEG Helmet for Upper Limb Motor Imagery-Based Brain-Computer Interfaces
EEG-based brain-computer interfaces (BCIs) are a common tool in neurorehabilitation.
However, the benefits of EEG-based BCIs can be limited by the use of wet electrodes, which …
However, the benefits of EEG-based BCIs can be limited by the use of wet electrodes, which …
Toward an EEG-Based System for Monitoring Cognitive Load in Neurosurgeons
P Arpaia, R Ayadi, G Carone, N Castelli… - … on Metrology for …, 2023 - ieeexplore.ieee.org
In this study, a method combining statistical and machine learning approaches is proposed
to select the most informative EEG features for the detection of the cognitive load linked to …
to select the most informative EEG features for the detection of the cognitive load linked to …
Machine learning algorithms to study the hospitalization after cesarean section: a multicenter analysis
MR Marino, A Borrelli, G Bifulco, M Triassi… - Proceedings of the 2023 …, 2023 - dl.acm.org
Caesarean section (CS) is a surgical procedure in which the child is given birth through a
cut in the mother's abdomen. The surgery is relatively safe for both, especially when …
cut in the mother's abdomen. The surgery is relatively safe for both, especially when …