Results 101 to 110 of about 145,922 (355)
Two methodologies for brain signal analysis derived from Freeman Neurodynamics
Here, Freeman Neurodynamics is explored to introduce the reader to the challenges of analyzing electrocorticogram or electroencephalogram signals to make sense of two things: (a) how the brain participates in the creation of knowledge and meaning and (b)
Jeffery Jonathan Joshua Davis +5 more
doaj +1 more source
Period analysis of the electroencephalogram of the baseline data for Gemini 7 Final report [PDF]
Periodic analysis of electroencephalogram of baseline data for Gemini 7 ...
Burch, N. R.
core +1 more source
Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley +1 more source
Foram estudadas as características evolutivas clínico-eletrencefalográficas de 14 crianças com epilepsia occipital benigna da infância de início precoce (tipo Panayiotopoulos). O tempo médio de segmento foi 50,5 meses. A idade média na primeira crise foi
Lineu Correa Fonseca +1 more
doaj +1 more source
Comprehensive Spectral Analysis of Human EEG GENERATORS in Posterior Cerebral Regions [PDF]
Human electroencephalogram generator spectral analysis in posterior cerebral ...
Adey, W. R. +3 more
core +1 more source
A New Approach to Automated Epileptic Diagnosis Using EEG and Probabilistic Neural Network
Epilepsy is one of the most common neurological disorders that greatly impair patient' daily lives. Traditional epileptic diagnosis relies on tedious visual screening by neurologists from lengthy EEG recording that requires the presence of seizure (ictal)
Bao, Forrest Sheng +2 more
core +1 more source
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan +12 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
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Electroencephalogram study in non-convulsing children with delayed language development [PDF]
Hassan Ali Hassan +4 more
openalex +1 more source

