PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 13986720

A simplified method for autocorrelation analysis in electroencephalography.

K SATO·N HONDA·K MIMURA·T OZAKI·S TERAMOTO·K KITAJIMA·S MASUYA
View original source ↗Export metadata ↓

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

ElectroencephalographyHumansELECTROENCEPHALOGRAPHYJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

K SATO, N HONDA, K MIMURA, T OZAKI, S TERAMOTO, K KITAJIMA, S MASUYA. 1962. A simplified method for autocorrelation analysis in electroencephalography.. https://doi.org/10.1016/0013-4694(62)90095-0

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2006

A Kalman filter based methodology for EEG spike enhancement.

In this work, we present a methodology for spike enhancement in electroencephalographic (EEG) recordings. Our approach takes advantage of the non-stationarity nature of the EEG signal using a time-varying autoregressive model. The time-varying coefficients of autoregressive model are estimated using the Kalman filter. The results show considerable improvement in signal-to-noise ratio and significant reduction of the number of false positives.

Electroencephalography↗
PubMed2006

Visual evoked potential in the newborn: does it have predictive value?

We reviewed studies on the predictive value of visual evoked potentials (VEPs) in the newborn. VEPs demonstrated a good correlation with neurodevelopmental outcome in full-term infants with birth asphyxia. However, their prognostic value in preterm infants is controversial. In preterm infants, most studies showed high specificities for neurodevelopmental outcome, but some studies demonstrated lower sensitivities.

Electroencephalography↗