Results 71 to 80 of about 131,503 (298)

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

Advanced 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, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Electroencephalography and analgesics [PDF]

British Journal of Clinical Pharmacology, 2013
To assess centrally mediated analgesic mechanisms in clinical trials with pain patients, objective standardized methods such as electroencephalography (EEG) has many advantages. The aim of this review is to provide the reader with an overview of present findings in analgesics assessed with spontaneous EEG and evoked brain potentials (EPs) in humans ...
Malver, Lasse Paludan, Brokjær, Anne, Ståhl, Camilla, Graversen, Carina; id_orcid 0000-0001-8392-058X, Andresen, Trine; id_orcid 0000-0002-9521-070X, Drewes, Asbjørn; id_orcid 0000-0001-7465-964X   +5 more
openaire   +3 more sources

Facile Fabrication of Low‐Impedance, Highly Conformal Epidermal Electrodes Based on Laser‐Induced Graphene–Silver Nanocomposites

Advanced Science, EarlyView.
A facile laser‐induced graphene–silver nanocomposite strategy enables ultrathin epidermal electrodes with low impedance, high conductivity, and excellent mechanical robustness. The porous LIG–Ag conductive network mechanically interlocked with SEBS provides stable, motion‐resistant biopotential monitoring, enabling high‐fidelity ECG, EMG, and EEG ...
Jiuqiang Li, Senhao Zhang, Kai Guo, Donghai Qiu, Juzhong Zhang, Hongbo Yang, Huanyu Cheng   +6 more
wiley   +1 more source

INCREASED TISSUE TRANSGLUTAMINASE LEVELS ARE ASSOCIATED WITH INCREASED EPILEPTIFORM ACTIVITY IN ELECTROENCEPHALOGRAPHY AMONG PATIENTS WITH CELIAC DISEASE

Arquivos de Gastroenterologia, 2015
Background - Celiac disease is an autoimmune systemic disorder in genetically predisposed individuals precipitated by gluten ingestion. Objective - In this study, we aimed to determine asymptomatic spike-and-wave findings on electroencephalography in ...
Sedat IŞIKAY, Şamil HIZLI, Serkan ÇOŞKUN, Kutluhan YILMAZ   +3 more
doaj   +1 more source

Common Practices in Clinical Electroencephalography

Korean Journal of Clinical Laboratory Science, 2021
Electroencephalography (EEG) provides the most accurate and quickest diagnosis of epilepsy. It is also an important examination for the real-time evaluation of brain function and seizures, no matter where.
Soon-Chul Hyun, Dongyeop Kim
doaj   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Multifractal and Entropy-Based Analysis of Delta Band Neural Activity Reveals Altered Functional Connectivity Dynamics in Schizophrenia

Frontiers in Systems Neuroscience, 2020
Dynamic functional connectivity (DFC) was established in the past decade as a potent approach to reveal non-trivial, time-varying properties of neural interactions – such as their multifractality or information content –, that otherwise remain hidden ...
Frigyes Samuel Racz, Orestis Stylianou, Peter Mukli, Andras Eke   +3 more
doaj   +1 more source

Electroencephalography-based emotion recognition with empirical mode decomposition and ensemble machine learning methods

Emotion recognition stands as one of the most challenging tasks in pattern recognition, machine learning, and artificial intelligence. Incorporating emotion recognition in brain–computer interfaces (BCIs) is a recent trend. In fact, this phenomenon makes
Subasi, Abdulhamit, SUBASI, MUHAMMED ENES, Mian Qaisar, Saeed   +2 more
core   +1 more source

Closed‐Loop Decoding and Intervention of Pain: A Novel BMI Strategy Integrating θ‐Band Detection and Mechano‐Electro‐Biological Coupled Hydrogels

Advanced Science, EarlyView.
A closed‐loop brain–machine interface with a PFAPT hydrogel electrode identifies prefrontal θ‐band as a neuropathic pain biomarker. The hydrogel enables stable 28 d ECoG recording and delivers θ‐triggered cortical stimulation, alleviating pain and affective behaviors in rats via bidirectional regulation of inflammation and central sensitization ...
Yun Ji, Tao Li, Guoqiang Lei, Huichun Luo, Xiuqian Guo, Jiao Xiang, Tao Shi, Weitang Liu, Yuxin Zhang, Xiaoyu Liao, Shutao Zhao, Jiayun Wu, Wangao Zhang, Wenhui Liu, Chuanglong He, Shuo Chen, Tao Wu, Ke Ma   +17 more
wiley   +1 more source

Artifacts in Electroencephalography: Clinical Cases and Electroencephalography Examples

, 2019
In electroencephalography, electrical signals originating from extracerebral sources are called artifacts. The word artifact originates from the word artificial.

core