Results 71 to 80 of about 2,021,152 (244)
EEG–fMRI mapping of asymmetrical delta activity in a patient with refractory epilepsy is concordant with the epileptogenic region determined by intracranial EEG [PDF]
We studied a patient with refractory focal epilepsy using continuous EEG-correlated fMRI. Seizures were characterized by head turning to the left and clonic jerking of the left arm, suggesting a right frontal epileptogenic region.
Walker, M.C. +13 more
core +1 more source
ABSTRACT Objective There is a lack of studies on seizure outcomes associated with ofatumumab therapy in patients for relapsing anti‐N‐methyl‐D‐aspartate (NMDA) receptor encephalitis. We aimed to evaluate long‐term seizure outcomes of ofatumumab therapy for relapsing anti‐NMDA receptor encephalitis.
Jian Wang, Mengjiao Li, Ping Kong
wiley +1 more source
Classification Algorithms of EEG Signals based on Motor Imagery [PDF]
This paper proposes a method for processing motor imagery-based Electroencephalography (EEG) signals to generate precise signals for Brain-Computer Interface (BCI) devices used in rehabilitation and physical treatments.
Amirhossein Konjkav +2 more
doaj +1 more source
Copine‐4 Paraneoplastic Autoimmune Encephalitis
ABSTRACT We characterize copine‐4 (CPNE4)‐IgG and report clinical associations. Among 844 samples with unclassified neural IgGs identified by mouse‐brain indirect immunofluorescence assay over 2 years, 5 samples (serum, 3; CSF, 2) from 3 patients produced a distinctive cerebrum‐restricted synaptic pattern.
Mimi S. Fang +12 more
wiley +1 more source
Application of signal processing to respiratory cycle related EEG change (RCREC) in children
Sleep is an important part of everyday life. It directly affects daytime cognition and general performance. In children, sleep is a crucial requirement for growth and learning and lack of sleep may manifest itself as a long lasting developmental deficit.
Motamedi Fakhr, Shayan
core +1 more source
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong +10 more
wiley +1 more source
The Use of EEG Signals For Biometric Person Recognition [PDF]
This work is devoted to investigating EEG-based biometric recognition systems. One potential advantage of using EEG signals for person recognition is the difficulty in generating artificial signals with biometric characteristics, thus making the spoofing
Yang, Su
core
Identification Of Electrode Enchepalo Graph Signal To Move The Cursor Using Back Propagation Method [PDF]
In this paper the researchers describe the application of back propagation neural networks as classification and sampling technique (TS) for feature extraction of waveform signals Electro Enchepalo Graph (EEG).
Mauridhi Hery , Purnomo +2 more
core +1 more source
Conventional therapies suffer from poor blood–brain barrier (BBB) penetration and disordered ion/reactive oxygen species (ROS) homeostasis, hindering precise neurological treatment. Electrochemical strategies achieve accurate spatiotemporal regulation of neural homeostasis.
Xiaokang Hu +5 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source

