Multilevel neural network system for EEG spike detection

Detection of Spikes with Artificial Neural Networks Using Raw EEG

“…In the case of 16 channels, this number goes up to 3200 multiplications. Using current digital signal processing hardware technology, real-time implementation for multichannel (16-64 channels) systems could be achieved without any problems (26,28).…”

“…The second approach is to use raw EEG data as input to the ANN detection system (20,21,(25)(26)(27)(28). In this approach, raw EEG amplitudes from an analysis window are fed into an ANN system in a time series format as input.…”

Automated Epileptic Seizure Detection Methods: A Review Study

“…Knowledge-based reasoning in addition to the aforementioned methods is widely used (Tzallas, Karvelis, et al, 2006). This arises from the need to incorporate knowledge of neurophysiologists that adopt spatial and temporal rules (Acir, et al, 2005;Dingle, Jones, Carroll, & Fright, 1993;Edwards, James, Coakley, & Brown, 1976;Glover, Raghavan, Ktonas, & Frost, 1989;James, 1997;James, et al, 1999;Liu, et al, 2002;Ozdamar, Yaylali, Jayakar, & Lopez, 1991;Tzallas, Karvelis, et al, 2006;Webber, et al, 1994). More specifically, Glover and coauthors (1989), Dingle and coauthors (1993), and Liu and coauthors (2002) used a knowledge-based system with a high degree of success, taking advantage of both spatial and temporal information.…”

Detection of Seizure Activity in EEG by an Artificial Neural Network: A Preliminary Study

“…Recent applications of ANNs for ED detection (9,(11)(12)(13)(14)(15)(16) have used feed-forward neural networks and back-propagation learning rules. The neural networks operating on digital EEG data have the potential of being used ''on-line.''…”