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**fractal**: Fractal Time Series Modeling and Analysis**eegduke**: Electroencephalogram Recordings of a Seizure

# Electroencephalogram Recordings of a Seizure

### Description

EEG of a patient undergoing ECT therapy for clinical depression at the ECT Lab at Duke.
The data are fluctuations in electrical potential at a point on the patient's scalp
during seizure, one of several recorded channels. They are measured in microvolts and
represent measurements taken at time intervals of roughly *1/40* of a second.

### See Also

`beamchaos`

, `ecgrr`

, `lorenz`

, `pd5si`

.

### Examples

1 |

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- beamchaos: Chaotic beam data
- beamchaos: Chaotic beam data
- chaoticInvariant: Class for chaotic invariant objects
- chaoticInvariant: Class for chaotic invariant objects
- corrDim: Correlation dimension
- corrDim: Correlation dimension
- determinism: Detecting determinism in a time series
- determinism: Detecting determinism in a time series
- DFA: Detrended fluctuation analysis
- DFA: Detrended fluctuation analysis
- dispersion: Dispersion analysis
- dispersion: Dispersion analysis
- ecgrr: Electrocardiogram R-R Interval Data
- ecgrr: Electrocardiogram R-R Interval Data
- eda.plot: Generic function for generating extended data analysis plots
- eda.plot: Generic function for generating extended data analysis plots
- eegduke: Electroencephalogram Recordings of a Seizure
- eegduke: Electroencephalogram Recordings of a Seizure
- embedSeries: Creates a delay embedding of a single variable time series
- embedSeries: Creates a delay embedding of a single variable time series
- FDSimulate: Simulation of an FD process with time varying model...
- FDSimulate: Simulation of an FD process with time varying model...
- FDWhittle: Estimate the Hurst coefficient by Whittle's method
- FDWhittle: Estimate the Hurst coefficient by Whittle's method
- findNeighbors: Nearest neighbor search in a multidimensional space
- findNeighbors: Nearest neighbor search in a multidimensional space
- FNN: Estimation of the proper embedding dimension for a...
- FNN: Estimation of the proper embedding dimension for a...
- FNS: Estimation of the proper embedding dimension for a...
- FNS: Estimation of the proper embedding dimension for a...
- fractalBlock: Class constructor for block-dependent estimators for...
- fractalBlock: Class constructor for block-dependent estimators for...
- HDEst: Hurvich-Deo estimate of number of frequencies to use in a...
- HDEst: Hurvich-Deo estimate of number of frequencies to use in a...
- henon: Henon map
- henon: Henon map
- hurstACVF: Estimate the Hurst coefficient by regression of scaled asinh...
- hurstACVF: Estimate the Hurst coefficient by regression of scaled asinh...
- hurstBlock: Hurst coefficient estimation in the time domain
- hurstBlock: Hurst coefficient estimation in the time domain
- hurstSpec: Hurst coefficient estimation via spectral regression
- hurstSpec: Hurst coefficient estimation via spectral regression
- infoDim: Information dimension
- infoDim: Information dimension
- KDE: Nonparametric multidimensional probability density function...
- KDE: Nonparametric multidimensional probability density function...
- lmACF: ACF, PACF, and ACVF for various stochastic fractal time...
- lmACF: ACF, PACF, and ACVF for various stochastic fractal time...
- lmConfidence: Confidence intervals for unknown mean
- lmConfidence: Confidence intervals for unknown mean
- lmConvert: Stochastic fractal exponent conversion
- lmConvert: Stochastic fractal exponent conversion
- lmModel: Constructor function for objects of class "lmModel"
- lmSDF: SDF for various stochastic fractal time series models
- lmSDF: SDF for various stochastic fractal time series models
- lmSimulate: Stochastic fractal time series simulation
- lmSimulate: Stochastic fractal time series simulation
- localProjection: Time series denoising via a local projection filtering...
- localProjection: Time series denoising via a local projection filtering...
- lorenz: Chaotic response of the Lorenz system
- lorenz: Chaotic response of the Lorenz system
- lorenz.ode: Lorenz system ODEs
- lorenz.ode: Lorenz system ODEs
- lyapunov: Local-Global Lyapunov Spectrum Estimation
- lyapunov: Local-Global Lyapunov Spectrum Estimation
- medianFilter: Median filtering of a time series
- medianFilter: Median filtering of a time series
- pd5si: Gait stride intervals for a patient with Parkinson's Disease
- pd5si: Gait stride intervals for a patient with Parkinson's Disease
- poincareMap: Create a Poincare map
- poincareMap: Create a Poincare map
- RoverS: Estimate the Hurst coefficient by rescaled range (R/S) method
- spaceTime: Space time separation plot
- spaceTime: Space time separation plot
- stationarity: Testing for stationarity in a time series
- stationarity: Testing for stationarity in a time series
- surrogate: Surrogate data generation
- surrogate: Surrogate data generation
- timeLag: Estimate the proper time lag for single variable delay...
- timeLag: Estimate the proper time lag for single variable delay...