Paper Info
Title
Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing.
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 EMO-based movement onset prediction is presented.
Year
DOI
Venue
2013
10.5220/0004633800410045
NEUROTECHNIX: PROCEEDINGS OF THE INTERNATIONAL CONGRESS ON NEUROTECHNOLOGY, ELECTRONICS AND INFORMATICS
Keywords
Field
DocType
Variance,Mean,EMG,Electromyogram,EEG,Electroencephalogram,BCI
Signal processing,Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Electroencephalography
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
M. M. Krell1457.53
Marc Tabie2193.35
Hendrik Wöhrle3214.38
Elsa Andrea Kirchner46713.60