Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity

about

Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity

Item

http://www.wikidata.org/entity/Q57490996

description

article

@en

im Januar 2018 veröffentlichter wissenschaftlicher Artikel

@de

wetenschappelijk artikel

@nl

наукова стаття, опублікована у 2018

@uk

name

Surrogate Data Method Requires ...... nals to Estimate Non-linearity

@en

Surrogate Data Method Requires ...... nals to Estimate Non-linearity

@nl

type

Item

label

Surrogate Data Method Requires ...... nals to Estimate Non-linearity

@en

Surrogate Data Method Requires ...... nals to Estimate Non-linearity

@nl

prefLabel

Surrogate Data Method Requires ...... nals to Estimate Non-linearity

@en

Surrogate Data Method Requires ...... nals to Estimate Non-linearity

@nl

P1476

Surrogate Data Method Requires ...... nals to Estimate Non-linearity

@en

P2093

Jaan Raik

http://www.w3.org/2001/XMLSchema#string

Jaanus Lass

http://www.w3.org/2001/XMLSchema#string

Laura Päeske

http://www.w3.org/2001/XMLSchema#string

Maie Bachmann

http://www.w3.org/2001/XMLSchema#string

Sara Pereira Mendes de Oliveira

http://www.w3.org/2001/XMLSchema#string

Toomas Põld

http://www.w3.org/2001/XMLSchema#string

P2860

Generating surrogate data for time series with several simultaneously measured variables

Nonlinear analysis of EEG signals at different mental states

Physiological time-series analysis using approximate entropy and sample entropy.

Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices.

Detection and description of non-linear interdependence in normal multichannel human EEG data.

Topological Filtering of Dynamic Functional Brain Networks Unfolds Informative Chronnectomics: A Novel Data-Driven Thresholding Scheme Based on Orthogonal Minimal Spanning Trees (OMSTs).

A method to standardize a reference of scalp EEG recordings to a point at infinity.

Functional connectivity changes detected with magnetoencephalography after mild traumatic brain injury.

Comparison of connectivity analyses for resting state EEG data.

Automated network analysis to measure brain effective connectivity estimated from EEG data of patients with alcoholism.

P304

1350

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.3389/FPHYS.2018.01350

http://www.w3.org/2001/XMLSchema#string

P407

English

P478

http://www.w3.org/2001/XMLSchema#string

P50

Hiie Hinrikus

P577

2018-01-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

30319451

http://www.w3.org/2001/XMLSchema#string

P921

electroencephalography

P932

6170787

http://www.w3.org/2001/XMLSchema#string