Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing

Mario Michael Krell; Marc Tabie; Hendrik Wöhrle; Elsa Andrea Kirchner

In: Proceedings of International Congress on Neurotechnology, Electronics and Informatics. International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX-2013), September 19-20, Vilamoura, Portugal, Pages 41-45, SCITEPRESS Digital Library, 9/2013.


Adaptation of human-machine interaction devices by means of physiological data requires online analysis. We introduce new update formulas for otherwise time-demanding calculations of window based current mean and variance of the signal. Those were required for efficient realtime time series data processing. We discuss the formulas with the help of synthetic data. They differ from existing incremental calculations due to a decremental component, because of samples leaving the window of observation. An example application for EMG-based movement onset prediction is presented.


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131008_Memory_and_Processing_Efficient_Formula_for_Moving_Variance_Calculation_in_EEG_and_EMG_Signal_Processing_NEUROTECHNIX_Krell.pdf (pdf, 167 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence