Results 81 to 90 of about 96,332 (312)

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Cerebral function monitoring in term or near term neonates at MDH : preliminary experience and proposal of a guideline [PDF]

, 2012
Introduction: Cerebral function monitoring (CFM) is a simplified EEG device that is used to monitor cerebral function at the cot-side. Various studies have shown its value in detecting neonatal encephalopathy and electrographic seizures, prognostication ...
Attard, Stephen, Soler, Doriette, Soler, Paul   +2 more
core  

SPINDLE COMA - OBSERVATIONS AND THOUGHTS [PDF]

, 1990
UNIV ESTADUAL PAULISTA,FAC MED,BOTUCATU,SP,BRAZILJOHNS HOPKINS UNIV,SCH MED,NEUROL & NEUROL SURG,BALTIMORE,MD 21205UNIV ESTADUAL PAULISTA,FAC MED,BOTUCATU,SP ...
Niedermeyer, E., Niedermeyer, Ernst, Demelo, A. N., de Melo, Aurea Nogueira [UNESP], Krauss, G. L., Krauss, Gregory L.   +5 more
core   +1 more source

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

Advanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

Design and Implementation of an Electroencephalography System for Emotion Recognition

Wasit Journal of Engineering Sciences
Emotions directly affect essential functions in human cognition, decision-making, and interactions. Any change in a person’s emotions can lead to different patterns in brain wave signals.
Ghufran M. Fahad, Manaf K. Hussein, Riyadh A. Abbas, Ali AL-SSherbaz   +3 more
doaj   +1 more source

Electroencéphalographie et interfaces cerveau-machine : nouvelles méthodes pour étudier les états mentaux [PDF]

, 2012
Avec les avancées technologiques dans le domaine de l'imagerie cérébrale fonctionnelle et les progrès théoriques dans la connaissance des différents éléments neurophysiologiques liés à la cognition, les deux dernières décennies ont vu l'apparition d ...
Grandchamp, Romain
core  

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Abnormal Findings in Neonatal Electroencephalography [PDF]

, 2019
The electroencephalography (EEG) of the neonatal period differs significantly from the EEG of the older child and adult. The electrical activity also varies depending on the conceptual age reflecting the maturation of the brain. This variability presents
Tekgul, Hasan, Simsek, Erdem
core  

Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]

, 2008
We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Gomez, C., Escudero, J.; id_orcid, Espino, P., Hornero, R., Abasolo, D.   +4 more
core   +1 more source

Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition

Advanced Intelligent Systems, EarlyView.
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota   +8 more
wiley   +1 more source