Fuzzy detection of EEG alpha without amplitude thresholding

Automated EEG analysis: Characterizing the posterior dominant rhythm

“…Other approaches to quantify the alpha rhythm together with background EEG patterns include model-based filters (Kemp and Blom, 1981), wavelets and multitapers (van Vugt et al, 2007), fuzzy reasoning (Huupponen et al, 2002;Herrmann et al, 2001), nonparametric methods (Brodsky et al, 1999), and multi-dimensional decompositions (Orekhova et al, 2011). Most of these studies only focussed on finding the onset and duration of the rhythm and not on locating the peak frequencies.…”

Detection of traumatic brain injuries using fuzzy logic algorithm

“…Kittel, Epstein, and Hayes (1992), studied on a new topic, fuzzy classification of spike events in the EEG. Huupponen et al (2002), developed fuzzy reasoning based method for the detection of alpha activity in sleep EEG analysis. Gü ler and Ü beyli's (2005) study described a model for classification of EEG signals using wavelet transform and adaptive neuro-fuzzy inference system (ANFIS).…”

Guidelines for the Recording and Evaluation of Pharmaco-Sleep Studies in Man: The International Pharmaco-EEG Society (IPEG)

“…Different techniques have been applied to detect various patterns, such as sleep spindles [197,198,199], alpha waves [200], K complexes [100,201,202], arousals [203,204], CAPs [205], transient EEG events [206], or eye movements [207,208,209]. Time-frequency signal parameterisation methods, such as wavelets and matching pursuit, provide an elegant way to assess EEG recordings and to localise sleep patterns (e.g.…”