Analysis and definition of morphological descriptors for automatic detection of epileptiform events in EEG signals with artificial neural networks

Biomedical Engineering, Trends in Electronics, Communications and Software

“…However with the advances in mathematical methods and the increasing capacity of computer processing the investigations were directed to other approaches (Halford, 2009), for example, the Wavelet Transform, entropy, statistical methods and/or a combination of these and other methods (Kaneko et al 1999;Diambra, 1999, Liu et al, 2002Saab & Gotman, 2005;Tzallas et al, 2006;Übeyli, 2009;Kumar, 2010). Nevertheless we did not abandon the parameterization approach (Guedes et al, 2002, Pereira 2003Sovierzoski, 2009, Boos et al, 2010a.…”

Deep learning for EEG analysis

“…Regarding the input of these ANNs, initially, morphological features were used [Boos et al, 2011, Castellaro et al, 2002, Gabor and Seyal, 1992, James et al, 1999, Webber et al, 1994,Wilson et al, 1999. Given the morphological similarities of IED to other EEG patterns, towards the end of the 1990s, frequency-based features were explored [Abibullaev et al, 2010, Adjouadi et al, 2004, Artameeyanant et al, 2012, Feucht et al, 1997, Guler and Ubeyli, 2007, Guo et al, 2009, Guo et al, 2011, Haydari et al, 2011, Liu et al, 2002, Orhan et al, 2011, Park et al, 1998, Sezer et al, 2012, Song and Zhang, 2013, Srinivasan et al, 2005, Suresh and Balasubramanyam, 2013, Tarassenko et al, 1998, Übeyli, 2009a, Wang et al, 2011.…”

“…Additionally, while some studies reported sensitivity and specificity, as well as false positive rates, several studies did not present these values (e.g. [Boos et al, 2011,De Oliveira et al, 1983, Hostetler et al, 1992, Ko and Chung, 2000). Approaches reporting qualitative results also lack information needed to objectively assess the method and compare it to others [Calvagno et al, 2000, Ji et al, 2011a, Juozapavicius et al, 2011, Suresh and Balasubramanyam, 2013.…”