Selection of the minimum number of EEG sensors to guarantee biometric identification of individuals
Biometric identification uses person recognition techniques based on the extraction of some
of their physical or biological properties, which make it possible to characterize and …
of their physical or biological properties, which make it possible to characterize and …
Impact of reduced‐dimensionality independent components analysis on event‐related potential measurements
Independent components analysis (ICA) is an effective and ubiquitous tool for cleaning EEG.
To reduce computation time, many analysis pipelines decrease EEG dimensionality prior to …
To reduce computation time, many analysis pipelines decrease EEG dimensionality prior to …
Data preprocessing impact on machine learning algorithm performance
A Amato, V Di Lecce - Open Computer Science, 2023 - degruyter.com
The popularity of artificial intelligence applications is on the rise, and they are producing
better outcomes in numerous fields of research. However, the effectiveness of these …
better outcomes in numerous fields of research. However, the effectiveness of these …
Comparison of the Effectiveness of Various Classifiers for Breast Cancer Detection Using Data Mining Methods
NK Al-Qazzaz, IK Mohammed, HK Al-Qazzaz… - Applied Sciences, 2023 - mdpi.com
Countless women and men worldwide have lost their lives to breast cancer (BC). Although
researchers from around the world have proposed various diagnostic methods for detecting …
researchers from around the world have proposed various diagnostic methods for detecting …
Modulation of sleep architecture by whole-body static magnetic exposure: A study based on EEG-based automatic sleep staging
L Yang, H Jiang, X Ding, Z Liao, M Wei, J Li… - International Journal of …, 2022 - mdpi.com
A steady increase in sleep problems has been observed along with the development of
society. Overnight exposure to a static magnetic field has been found to improve sleep …
society. Overnight exposure to a static magnetic field has been found to improve sleep …
Different routes or methods of application for dimensionality reduction in multicenter studies databases
N Boukichou-Abdelkader, MÁ Montero-Alonso… - Mathematics, 2022 - mdpi.com
Technological progress and digital transformation, which began with Big Data and Artificial
Intelligence (AI), are currently transforming ways of working in all fields, to support decision …
Intelligence (AI), are currently transforming ways of working in all fields, to support decision …
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning
The operating room (OR) is a dynamic and complex environment consisting of a
multidisciplinary team working together in a high take environment to provide safe and …
multidisciplinary team working together in a high take environment to provide safe and …
The different expression patterns of cytokines in Pacific oyster Crassostrea gigas response against bacterial stimulation
Z Zhang, L Gao, Q Li, Z Xing, R Liu, K Zhou, L Wang… - Aquaculture, 2023 - Elsevier
Cytokines can be induced by pathogen stimulation for the information exchange between
cells, and their expression patterns indicate the response status of cells. In the present study …
cells, and their expression patterns indicate the response status of cells. In the present study …
Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism
Z Wu, X Tang, J Wu, J Huang, J Shen… - Medical & Biological …, 2023 - Springer
Due to high computational requirements, deep-learning decoders for motor imaginary (MI)
electroencephalography (EEG) signals are usually implemented on bulky and heavy …
electroencephalography (EEG) signals are usually implemented on bulky and heavy …
Automatic sleep scoring with LSTM networks: impact of time granularity and input signals
Supervised automatic sleep scoring algorithms are usually trained using sleep stage labels
manually annotated on 30 s epochs of PSG data. In this study, we investigate the impact of …
manually annotated on 30 s epochs of PSG data. In this study, we investigate the impact of …