Results 121 to 130 of about 145,922 (355)
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity [PDF]
Livija Jakaite +2 more
openalex +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss +9 more
wiley +1 more source
IntroductionEmotion and attention regulation significantly influence various aspects of human functioning and behavior. However, the interaction between emotion and attention in affecting performance remains underexplored.
Yang Shen +3 more
doaj +1 more source
Anatomical and functional brain approach along short abrupt changes in G-levels [PDF]
To conduct experiments under abrupt changes in g-levels, a single-engine aerobatic aircraft has been used, providing 6-8 seconds of reduced gravity, preceded and followed by 5-7 seconds of hypergravity periods.
Dubert, D. +6 more
core
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
BackgroundElectrical activity recorded with electroencephalography (EEG) enables the development of predictive models for emotion recognition. These models can be built using two approaches: subject-dependent and subject-independent.
Camilo E. Valderrama +2 more
doaj +1 more source
Evaluation of the neurophysiological electrode-amplifier-harness system for physiological data acquisition [PDF]
Development and characteristics of biomedical system for obtaining electroencephalogram and neurophysiologic data during space ...
Kellaway, P.
core +1 more source
To address adhesion failure in sweaty epidermal electronics, this study proposes a cross‐species, multi‐scale biomimetic interface. By modeling staged wet adhesion, it integrates self‐regulating liquid bridges with directional drainage. This design ensures stable, high‐performance flexible sensing in complex physiological environments, offering a ...
Jieliang Zhao +12 more
wiley +1 more source
Smart Textile Technology for the Monitoring of Mental Health
In recent years, smart devices have proven their effectiveness in monitoring mental health issues and have played a crucial role in providing therapy.
Shonal Fernandes +5 more
doaj +1 more source

