FreSpeD: Frequency-Specific Change-Point Detection in Epileptic Seizure Multi-Channel EEG Data

DOI10.1080/01621459.2018.1476238zbMath1478.62276OpenAlexW2898277224MaRDI QIDQ5229898

Anna Louise Schröder, Hernando Ombao

Publication date: 19 August 2019

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10754/629908

zbMATH Keywords

CUSUMchange pointsspectral analysiselectroencephalogramsmultivariate time seriesepileptic seizurecoherence analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15)

Related Items (11)

A Bayesian State-Space Approach to Mapping Directional Brain Networks ⋮ Collective Anomaly Detection in High-Dimensional Var Models ⋮ Break point detection for functional covariance ⋮ Spectra in low‐rank localized layers (SpeLLL) for interpretable time–frequency analysis ⋮ Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model ⋮ Conex-connect: learning patterns in extremal brain connectivity from multichannel EEG data ⋮ A variational Bayesian approach to identifying whole-brain directed networks with fMRI data ⋮ Spectrum inference for replicated spatial locally time-harmonizable time series ⋮ Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models ⋮ Network Structure Change Point Detection by Posterior Predictive Discrepancy ⋮ Empirical Frequency Band Analysis of Nonstationary Time Series

Uses Software

• FreSpeD

Cites Work

• Unnamed Item
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• Evolutionary Coherence of Nonstationary Signals
• Optimal Detection of Changepoints With a Linear Computational Cost
• Localized Realized Volatility Modeling
• Detection of Multiple Structural Breaks in Multivariate Time Series
• Detection of Changes in Multivariate Time Series With Application to EEG Data
• Multiple-Change-Point Detection for High Dimensional Time Series via Sparsified Binary Segmentation
• Exploring dependence between brain signals in a monkey during learning
• SLEX Analysis of Multivariate Nonstationary Time Series
• Structural Break Estimation for Nonstationary Time Series Models

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