ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals

Brain Informatics

Table 1 Comparison of available reviews on methods applied to artefact removal, sorted by year of publication

Authors	Year	AD	Neuronal signals	ML	LC	#MLA
Sweeney et al. [17]	2012	✓	EEG	✕	✓	0
Khatwani et al. [18]	2013	✕	EEG	✕	✕	0
Barua et al. [19]	2014	✓	EEG	✓	✓	34
Rahman et al. [20]	2015	✓	EEG	✓	✕	1
Urigu¨en et al. [16]	2015	✓	EEG	✕	✕	0
Tandle et al. [12]	2015	✓	EEG	✕	✕	0
Islam et al. [21]	2016	✕	EEG	✓	✓	12
Jung et al. [22]	2016	✓	EEG	✕	✕	0
Lai et al. [23]	2018	✕	EEG	✕	✕	0
Manaan et al. [24]	2018	✓	EEG	✕	✓	0
Jiang et al. [15]	2019	✓	EEG	✕	✕	0
Sadiya et al. [25]	2021	✕	EEG	✓	✓	13
Fabietti et al.	2022	✓	EEG, MEG, ECoG, LFP, Spikes	✓	✓	127

AD artefact description, ML machine learning methods, LC literature comparison, #MLA number of machine learning articles compared