Results 121 to 130 of about 100,182 (299)

Analysis of cross-correlations in electroencephalogram signals as an approach to proactive diagnosis of schizophrenia

, 2012
We apply flicker-noise spectroscopy (FNS), a time series analysis method operating on structure functions and power spectrum estimates, to study the clinical electroencephalogram (EEG) signals recorded in children/adolescents (11 to 14 years of age) with
Alexander Ya. Kaplan, Allegrini, Aquino, Bak, Basar, Bhattacharya, Bhattacharya, Bob, Boccaletti, Borisov, Branch, DeLisi, Fernández, Goldberger, Groom, Gur, Heuser, Hornero, Ivanov, John, Kaplan, Kostyuchenko, Lachaux, Laloux, Mormann, Nair, Oleg Yu. Panischev, Panischev, Peng, Peng, Plerou, Podobnik, Podobnik, Podobnik, Rapoport, Rissling, Rosenblum, Rossberg, Schuster, Serge F. Timashev, Sergey A. Demin, Simmonite, Singer, Tass, Timashev, Timashev, Timashev, Timashev, Timashev, Timashev, Timashev, Uhlhaas, Varela, Ward, West, Yulmetyev, Yulmetyev, Yulmetyev, Yuriy S. Polyakov   +58 more
core   +1 more source

Autoimmune Encephalitis in Acute Care—Pathology, Diagnosis, and Management

Advanced Science, EarlyView.
ABSTRACT Autoimmune encephalitis (AE) is characterized by immune‐mediated inflammation of the brain parenchyma, presenting with various neurological syndromes, including but not limited to seizures, altered consciousness, neuropsychiatric symptoms, and movement disorders.
Suneesh Thilak, David Okoh, William Scotton, Shanika Samarasekera, Vikram Patil, Suresh Renukappa, Andrew Macduff, Subashini Suresh, Rajeev Krishnadas, Tonny Veenith   +9 more
wiley   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
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

Optimizing Disease Prediction and Monitoring Through AI-Driven EEG Signal Analysis

Proceedings of the International Conference on Applied Innovations in IT
Artificial Intelligence (AI) has revolutionized healthcare and other sectors by finding new ways to solve problems and making a lot of tasks easier. The need for precise and timely disease prediction and monitoring, especially for neurological disorders ...
Saad Shaban, Saja Salim Mohammed, Riyadh Salam Mohammed, Hassan Hadi Saleh, Israa A. Mishkal, Adil Deniz Duru   +5 more
doaj   +1 more source

Decoding Complex Imagery Hand Gestures

, 2017
Brain computer interfaces (BCIs) offer individuals suffering from major disabilities an alternative method to interact with their environment. Sensorimotor rhythm (SMRs) based BCIs can successfully perform control tasks; however, the traditional SMR ...
Erdogmus, Deniz, Moghadamfalahi, Mohammad, Nezamfar, Hooman, Piers, Alexander, Quivira, Fernando, Salehi, Seyed Sadegh Mohseni   +5 more
core   +1 more source

Phenotypic Diversity and Outcomes in Pediatric NMDA Receptor Encephalitis: A 15‐Year Retrospective Study from the Largest Children's Hospital in the United States

Advanced Science, EarlyView.
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, Timothy Erickson, Yike Jiang, Varun Kannan, Jonathan M. Yarimi, Kristen S. Fisher, Nikita Shukla, Tim Lotze, Eyal Muscal, Kristy O. Murray   +9 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
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, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Bioinspired Hierarchical Architecture with Water Transport Channels for Strong Adhesion at the Sweating Interface

Advanced Science, EarlyView.
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, Yu Xiang, Heng Wang, Huiqing Xu, Zhong Liu, Lulu Liang, Fengwen Jiang, Xuemei Chen, Wenzhong Wang, Chenqing Liu, Guodong Liu, Shaoze Yan, Xu Hou   +12 more
wiley   +1 more source

Wrinkle‐Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring

Advanced Science, EarlyView.
This article introduces a wrinkle‐adaptive, kirigami‐structured wearable EEG patch that personalizes electrode‐skin conformity to stabilize the interface and enable wireless, high‐quality sleep monitoring. ABSTRACT Wearable electroencephalography (EEG) devices offer a promising solution for continuous brain monitoring outside laboratory settings ...
Jungmin Kim, Ka Ram Kim, Byeongjun Lee, Cheoljeong Park, Seong J. Cho, Woon‐Hong Yeo   +5 more
wiley   +1 more source

Retracted: Clinical Diagnosis of White Matter Softening in Premature Infants Based on Electroencephalogram (EEG). [PDF]

J Healthc Eng, 2023
Healthcare Engineering JO.
europepmc   +1 more source