Results 91 to 100 of about 2,021,152 (244)

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

open access: yesAdvanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li   +5 more
wiley   +1 more source

Identificação de eventos epileptiformes em sinais de EEG com escalogramas como entrada de redes neurais artificiais [PDF]

open access: yes, 2015
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2015.Esta pesquisa apresenta uma metodologia na identificação de paroxis-mos epileptiformes em sinais de
Lobato Malaver, Wilmer Johan
core  

A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans

open access: yesAdvanced Science, EarlyView.
This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao   +19 more
wiley   +1 more source

Exploring EEG signal processing for effective filtering and classification of epileptic seizures

open access: yesDiscover Electronics
EEG signal processing is the process of analysing the raw electrical signals recorded by the electrodes on the scalp to obtain information about the human brain. The preprocessing of the EEG signal cleans the raw signals, feature extraction to obtain the
Aruna Pant, Adesh Kumar
doaj   +1 more source

Attention model of EEG signals based on reinforcement learning

open access: yesFrontiers in Human Neuroscience
BackgroundApplying convolutional neural networks to a large number of EEG signal samples is computationally expensive because the computational complexity is linearly proportional to the number of dimensions of the EEG signal.
Wei Zhang   +4 more
doaj   +1 more source

The Mind From Within: Visceral Roots of Human Cognition

open access: yesAdvanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti   +1 more
wiley   +1 more source

Autism and mild epilepsy associated with a de novo missense pathogenic variant in the GTPase effector domain of DNM1

open access: yesAmerican Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView., 2023
Abstract Dynamin 1 is a GTPase protein involved in synaptic vesicle fission, which facilitates the exocytosis of neurotransmitters necessary for normal signaling. Pathogenic variants in the DNM1 gene are associated with intractable epilepsy, often manifested as infantile spasms at onset, developmental delay, and a movement disorder, and are located in ...
Davide Mei   +4 more
wiley   +1 more source

Harnessing Few-Shot Learning for EEG signal classification: a survey of state-of-the-art techniques and future directions

open access: yesFrontiers in Human Neuroscience
This paper presents a systematic literature review, providing a comprehensive taxonomy of Data Augmentation (DA), Transfer Learning (TL), and Self-Supervised Learning (SSL) techniques within the context of Few-Shot Learning (FSL) for EEG signal ...
Chirag Ahuja, Divyashikha Sethia
doaj   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

open access: yesAdvanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang   +3 more
wiley   +1 more source

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG

open access: yesAdvanced Science, EarlyView.
Simultaneous MEG and stereotactic EEG (SEEG) recordings provide a direct validation framework for MEG source imaging in focal epilepsy. Virtual SEEG signals derived from MEG reconstructions reveal significant agreement with intracranial measures of spike localization, resting‐state oscillations, and functional connectivity, while also identifying ...
Jawata Afnan   +10 more
wiley   +1 more source

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