Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordings.

Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordings.

The electro-encephalogram is a time-varying signal that measures electrical activity in the brain. A conceptually intuitive non-linear technique, multi-dimensional probability evolution (MDPE), is introduced. It is based on the time evolution of the probability density function within a multi-dimens...

Bibliográfalaš dieđut
Váldodahkkit:	McSharry, P, He, T, Smith, L, Tarassenko, L
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	2002

Geahča maid

Comparison of predictability of epileptic seizures by a linear and a nonlinear method.
Dahkki: McSharry, P, et al.
Almmustuhtton: (2003)

Prediction of epileptic seizures: are nonlinear methods relevant?
Dahkki: McSharry, P, et al.
Almmustuhtton: (2003)

Mapping general anesthesia states based on electro-encephalogram transition phases
Dahkki: V. Loison, et al.
Almmustuhtton: (2024-01-01)

When the intra-operative neuro-monitoring techniques crossed swords with the electro-encephalogram monitoring!
Dahkki: Keta Thakkar, et al.
Almmustuhtton: (2023-01-01)

Effect of Classic Ketogenic Diet Versus Modified Atkins Diet over Electro-Encephalogram Findings in Children with Refractory Epilepsy
Dahkki: Vaishali Deshpande, et al.
Almmustuhtton: (2024-05-01)

Automatic linearity detection
Dahkki: Birkisson, A, et al.
Almmustuhtton: (2013)

Testing the assumptions of linear prediction analysis in normal vowels
Dahkki: Little, M, et al.
Almmustuhtton: (2006)

Testing the assumptions of linear prediction analysis in normal vowels
Dahkki: Little, M, et al.
Almmustuhtton: (2006)

Lupus Panniculitis With Linear Hair Loss on the Scalp
Dahkki: Yu-Ju Chou, et al.
Almmustuhtton: (2024-01-01)

Non linear modelling and control of epileptic seizures
Dahkki: Ahmed Amir
Almmustuhtton: (2016)

Generalised Linear Models for Site-Specific Density Forecasting of UK Daily Rainfall
Dahkki: Little, M, et al.
Almmustuhtton: (2009)

A simple, quasi-linear, discrete model of vocal fold dynamics
Dahkki: Little, M, et al.
Almmustuhtton: (2005)

Generating 24-hour ECG, BP and respiratory signals with realistic linear and nonlinear clinical characteristics using a nonlinear model
Dahkki: Clifford, G, et al.
Almmustuhtton: (2004)

Photon frequency variation in non-linear electro-magnetism
Dahkki: Alessandro D.A.M. Spallicci, et al.
Almmustuhtton: (2024-08-01)

Automatic selection for non-linear models
Dahkki: Castle, J, et al.
Almmustuhtton: (2010)

Automatic Selection for Non-linear Models.
Dahkki: Castle, J, et al.
Almmustuhtton: (2009)

Automatic selection for non-linear models
Dahkki: Castle, JL, et al.
Almmustuhtton: (2011)

Automatic selection for non-linear models
Dahkki: Castle, J, et al.
Almmustuhtton: (2011)

Response linearization in electro-optic modulators
Dahkki: Orondo, Peter Omondi
Almmustuhtton: (2008)

Automated Epileptic Seizure Detection in Scalp EEG Based on Spatial-Temporal Complexity
Dahkki: Xinzhong Zhu, et al.
Almmustuhtton: (2017-01-01)

Method for generating an artificial RR tachogram of a typical healthy human over 24-hours
Dahkki: McSharry, P, et al.
Almmustuhtton: (2002)

A dynamical model for generating synthetic electrocardiogram signals.
Dahkki: McSharry, P, et al.
Almmustuhtton: (2003)

Semi-automatic non-linear model selection,
Dahkki: Castle, J, et al.
Almmustuhtton: (2014)

Semi-automatic non-linear model selection
Dahkki: Castle, J, et al.
Almmustuhtton: (2013)

Characterizing artefact in the normal human 24-hour RR time series to aid identification and artificial replication of circadian variations in human beat to beat heart rate using a simple threshold
Dahkki: Clifford, G, et al.
Almmustuhtton: (2002)

On the weighted-average relationship between plasma glucose and HbA1c.
Dahkki: Gibson, O, et al.
Almmustuhtton: (2006)

On A1c and its dependence on PG level.
Dahkki: Gibson, O, et al.
Almmustuhtton: (2006)

Non-linear survival analysis using neural networks.
Dahkki: Ripley, R, et al.
Almmustuhtton: (2004)

Non-linear survival analysis using neural networks
Dahkki: Ripley, R, et al.
Almmustuhtton: (2004)

Linear and Nonlinear Electro-optic Response of MHPOCBC
Dahkki: Andika Fajar, et al.
Almmustuhtton: (2024-05-01)

NeuroAssist: Open-Source Automatic Event Detection in Scalp EEG
Dahkki: Mohammad Ali Alqarni, et al.
Almmustuhtton: (2024-01-01)

Automatic Detection of Scalp High-Frequency Oscillations Based on Deep Learning
Dahkki: Yutang Li, et al.
Almmustuhtton: (2024-01-01)

Automatic Neonatal Seizure Detection by EEG
Dahkki: J Gordon Millichap
Almmustuhtton: (1997-10-01)

Multiple Linear Regression versus Automatic Linear Modelling
Dahkki: S. Genç, et al.
Almmustuhtton: (2024-02-01)

Detection of the onset of epileptic seizure signal from scalp EEG using blind signal separation
Dahkki: Moghavvemi, M., et al.
Almmustuhtton: (2009)

Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG
Dahkki: Yi Liang, et al.
Almmustuhtton: (2020-01-01)

Linear and Annular Lupus Panniculitis of the Scalp with Annular Lupus Panniculitis of the Face in a Child
Dahkki: Narayanan Baskaran, et al.
Almmustuhtton: (2024-06-01)

Automatic continuity of linear operators /
Dahkki: 313867 Sinclair , Alan M.
Almmustuhtton: (1976)

On real-time estimates of blood glucose levels: response to Trevino.
Dahkki: Gibson, O, et al.
Almmustuhtton: (2007)

The detection of malignant masses by non-linear multiscale analysis
Dahkki: Miller, L, et al.
Almmustuhtton: (1996)