Computerized epileptiform transient detection in the scalp electroencephalogram: Obstacles to progress and the example of computerized ECG interpretation

Cluster-based spike detection algorithm adapts to interpatient and intrapatient variation in spike morphology

“…However, based on the latest review proposed by Halford (2009), some comparison can be made since most algorithms also publish their results in terms of sensibility and selectivity (18 algorithms have published both). Sensitivity and selectivity of the proposed algorithm was compared to each of those and it shows a higher sensitivity in 72% (13/18) of the cases and a higher selectivity also in 72% (13/18) of the cases.…”

“…Many automated spike detection algorithms have been published (as shown in Frost (1985), Wilson and Emerson (2002) and Halford (2009) for review). Algorithms are typically based on methods such as template matching (Ji et al, 2011), mimetic analysis (Exarchos et al, 2006), power spectral analysis (Sugi et al, 2002;Adjouadi et al, 2004;Exarchos et al, 2006), wavelet analysis (Adeli et al, 2003;Indiradevi et al, 2008) and artificial neural networks (Guler and Ubeyli, 2005;Tzallas et al, 2006).…”

A Novel Phase Congruency Based Algorithm for Online Data Reduction in Ambulatory EEG Systems

“…The mean sensitivity and false positive rate of the proposed algorithm has been calculated for the 10 s recording window. All the algorithms listed in the most comprehensive and up-to-date review paper of spike detection algorithms published in 2009 [26], together with algorithms published since then, have been considered in order to generate Table III that the proposed method outperforms comparable previously published spike detection algorithms. However, it is worth stressing that the comparison has not taken into account all algorithms previously reported in literature, but only those that would be suitable for low power implementation since these are the ones that are relevant in the context of this work.…”

Utilising noise to improve an interictal spike detector

“…As a result there has been a large amount of research interest in the creation of automated spike detection algorithms. ) lists 70 such papers while (Halford, 2009;Harner, 2009) provide recent performance reviews. Despite this high level of interest however a definitive detection solution has not been found.…”