High-Voltage Spindles detection from EEG signals using recursive synchrosqueezing transform | Zendy

Rémi Souriau | Zendy; Dominique Fourer | Zendy; H. Chen | Zendy; Jean Lerbet | Zendy; H. Mâaref | Zendy; Vincent Vigneron | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

High-Voltage Spindles detection from EEG signals using recursive synchrosqueezing transform

Author(s) -

Rémi Souriau,

Dominique Fourer,

H. Chen,

Jean Lerbet,

H. Mâaref,

Vincent Vigneron

Publication year - 2019

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

Subject(s) - computer science , representation (politics) , filter bank , time–frequency analysis , identification (biology) , electroencephalography , filter (signal processing) , artificial intelligence , speech recognition , detector , fourier transform , signal processing , pattern recognition (psychology) , short time fourier transform , computer vision , fourier analysis , mathematics , digital signal processing , computer hardware , telecommunications , psychology , mathematical analysis , botany , psychiatry , politics , political science , law , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research