Results 51 to 60 of about 63,586 (240)

Karhunen–Loeve orthogonal decomposition method for problems of EEG assessment of patients with migraine [PDF]

Известия высших учебных заведений: Прикладная нелинейная динамика
The purpose of this work is to identify patterns in the recordings of electroencephalograms of patients with migraine using the Karhunen–Loeve orthogonal decomposition method. The work examines the main features of electroencephalographic dynamics,
Egorov, Evgenij Nikolaevich, Zhuravlev, Maksim Olegovich, Runnova, Anastasia Evgenevna, Evstropov, Maksim Arkad`evich, Redzhepova, Alena Садуллаевна   +4 more
doaj   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials

Frontiers in Human Neuroscience, 2017
Objectives: To compare quantitative EEG signal and test-retest reliability of medical grade and consumer EEG systems.Methods: Resting state EEG was acquired by two medical grade (B-Alert, Enobio) and two consumer (Muse, Mindwave) EEG systems in five ...
Elena Ratti, Shani Waninger, Chris Berka, Giulio Ruffini, Ajay Verma   +4 more
doaj   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia

Sensors, 2019
The electroencephalogram (EEG) can reflect brain activity and contains abundant information of different anesthetic states of the brain. It has been widely used for monitoring depth of anesthesia (DoA).
Yue Gu, Zhenhu Liang, Satoshi Hagihira
doaj   +1 more source

Circular RNA PTPN4 Contributes to Blood‐Brain Barrier Disruption during Early Epileptogenesis

Advanced Science, EarlyView.
Epileptic condition induces CircPTPN4 upregulation, which promotes ECE‐1 expression through competitive sequestration of miR‐145a‐5p. The elevated ECE‐1 catalyzes the ET‐1 production, leading to p38/MAPK pathway activation and subsequent downregulation of tight junction protein expression. This cascade results in increased BBB permeability and enhanced
Jiurong Yang, Yang Hu, Feiyu Wang, Xintao Peng, Honggang Qi, Yuanyuan Yao, Canyu Zhang, Lijie Zhou, Xuemei Liang, Kang Xu, Cong Zhang, Aifeng Zhang, Chen Chen, Yu Zeng, Chenchen Zhang, Guangming Gan, Xinjian Zhu   +16 more
wiley   +1 more source

Diagnosis of Schizophrenia Using Feature Extraction from EEG Signals Based on Markov Transition Fields and Deep Learning

Biomimetics
Diagnosing schizophrenia using Electroencephalograph (EEG) signals is a challenging task due to the subtle and overlapping differences between patients and healthy individuals.
Alka Jalan, Deepti Mishra, Marisha, Manjari Gupta   +3 more
doaj   +1 more source

Sleep Alters the Velocity of Physiological Brain Pulsations in Humans

Advanced Science, EarlyView.
Sleep alters I/CSF oscillatory flow, driven by increased respiratory (29%) and vasomotor pulsation (21%) velocities, while cardiovascular pulsations decreased by (22%). Velocity is quantified using optical flow analysis of MREG data. Spectral power increases alongside these pulsations (spatial correlation, r = 0.35 and r = 0.39, respectively ...
Ahmed Elabasy, Heta Helakari, Tommi Väyrynen, Zalán Rajna, Niko Huotari, Lauri Raitamaa, Ville Isokoski, Matti Järvelä, Mika Kaakinen, Johanna Piispala, Mika Kallio, Vesa Korhonen, Tapio Seppänen, Vesa Kiviniemi   +13 more
wiley   +1 more source

EEG-Based User Identification using Machine Learning and Deep Learning Approaches

Current Directions in Biomedical Engineering
In recent years, Electroencephalogram (EEG) based user authentication systems have gained significant interest as an innovative approach for identity verification.
Sushma S., Venkat S., Mohanavelu K., Fredo Jac A. R., Bobby T. Christy   +4 more
doaj   +1 more source

Feasibility and acceptability of magnetic resonance imaging and electroencephalography for child neurodevelopmental research in rural Ethiopia

Frontiers in Public Health
BackgroundMagnetic resonance imaging (MRI) and electroencephalography (EEG) are valuable tools for studying neuroanatomical and electrophysiological features of early brain development.
Firehiwot Workneh, Theresa I. Chin, Theresa I. Chin, Theresa I. Chin, Kalkidan Yibeltal, Krysten North, Krysten North, Nebiyou Fasil, Workagegnhu Tarekegn, Betelhem Haimanot Abate, Sarem Mulugeta, Gellila Asmamaw, Atsede Teklehaimanot, Sonya V. Troller-Renfree, Sarah K. G. Jensen, Sarah K. G. Jensen, Moriah E. Thomason, Terrie Inder, Charles A. Nelson, Charles A. Nelson, Alemayehu Worku, Anne CC Lee, Anne CC Lee, Anne CC Lee, Yemane Berhane   +24 more
doaj   +1 more source