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Authors: Mario Michael Krell 1 ; Marc Tabie 1 ; Hendrik Wöhrle 2 and Elsa Andrea Kirchner 3

Affiliations: 1 University of Bremen, Germany ; 2 German Research Center for Artificial Intelligence (DFKI), Germany ; 3 University of Bremen and German Research Center for Artificial Intelligence (DFKI), Germany

Keyword(s): Variance, Mean, EMG, Electromyogram, EEG, Electroencephalogram, BCI.

Related Ontology Subjects/Areas/Topics: EEG/ERP/EOG Signal Processing ; EMG Signal Processing and Applications ; Health Engineering and Technology Applications ; Mobile and Embedded Devices ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics

Abstract: 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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Paper citation in several formats:
Krell, M.; Tabie, M.; Wöhrle, H. and Kirchner, E. (2013). Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing. In Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX; ISBN 978-989-8565-80-8, SciTePress, pages 41-45. DOI: 10.5220/0004633800410045

@conference{neurotechnix13,
author={Mario Michael Krell. and Marc Tabie. and Hendrik Wöhrle. and Elsa Andrea Kirchner.},
title={Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing},
booktitle={Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX},
year={2013},
pages={41-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004633800410045},
isbn={978-989-8565-80-8},
}

TY - CONF

JO - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX
TI - Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing
SN - 978-989-8565-80-8
AU - Krell, M.
AU - Tabie, M.
AU - Wöhrle, H.
AU - Kirchner, E.
PY - 2013
SP - 41
EP - 45
DO - 10.5220/0004633800410045
PB - SciTePress

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