Spike detection: a review and comparison of algorithms.

By Scott B. Wilson, R. Emerson. Clinical Neurophysiology, 2002

305 citations recorded by the source corpus.

Subfields: Law, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/a842aadeef5a42749eac9e99551000f4a076028c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Law

1. Dimitrios I. Fotiadis
2. Alexandros T. Tzallas
3. Markos G. Tsipouras

In Political Science and International Relations

1. Dimitrios I. Fotiadis
2. Alexandros T. Tzallas
3. Markos G. Tsipouras

Citations in the corpus

• Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis (2009, methodology): “Many algorithms for spike detection have been proposed, including mimetic- and rule-based approaches [8], frequency-domain methods [9], wavelet transforms [10], ANNs [11]–[13], independent component analysis [14], support vector machines [15], data mining [2], template matching [16], and…”