id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_r5i77dk2kzawzo3ozx4fu4uiqi	Benjamin U. Cowley	Computational testing for automated preprocessing: a Matlab toolbox to enable large scale electroencephalography data processing	2017	26	.pdf	application/pdf	10571	972	59	Junghöfer, 2011) are all open source tools for EEG and MEG data analysis. functionality for referencing the data, line noise removal and detecting bad channels. The core activity of CTAP is preprocessing EEG data by cleaning artefacts, i.e. detection CTAP can thus help to combine the existing methods for EEG signal processing. new analysis steps, working from the provided CTAP_template_function.m. Users can � Functions to detect artefactual data, in channels, epochs, segments or ICA components, aggregate results to the CTAP_reject_data.m function. to detection functions, CTAP_reject_data.m will call an EEGLAB function such as Figure 3 Raw EEG data centred around a synthetic blink (A) before preprocessing and (B) after output, to include functionality such as statistical testing of detected bad data, for the Computational testing for automated preprocessing: a Matlab toolbox to enable large scale electroencephalography data processing ... Computational testing for automated preprocessing: a Matlab toolbox to enable large scale electroencephalography data processing ...	./cache/work_r5i77dk2kzawzo3ozx4fu4uiqi.pdf	./txt/work_r5i77dk2kzawzo3ozx4fu4uiqi.txt