Algorithm for automatic analysis of electro-oculographic data

@inproceedings{Pettersson2013AlgorithmFA,
  title={Algorithm for automatic analysis of electro-oculographic data},
  author={Kati Pettersson and Sharman Jagadeesan and Kristian Lukander and Andreas Henelius and Edward H{\ae}ggstr{\"o}m and Kiti M. I. M{\"u}ller},
  booktitle={Biomedical engineering online},
  year={2013}
}
BACKGROUND Large amounts of electro-oculographic (EOG) data, recorded during electroencephalographic (EEG) measurements, go underutilized. We present an automatic, auto-calibrating algorithm that allows efficient analysis of such data sets. METHODS The auto-calibration is based on automatic threshold value estimation. Amplitude threshold values for saccades and blinks are determined based on features in the recorded signal. The performance of the developed algorithm was tested by analyzing… CONTINUE READING
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