A Robust Method for the Individual Alpha Frequency Detection in EEG

F. Grosselin, Y. Attal, M. Chavez

2018

Abstract

We present a method to determine the individual alpha (α) peak frequency (IAF) of EEG segments. The algorithm uses information over previous time-windows to determine the current IAF. First, the 1/ f trend of the spectrum is estimated by an iterative curve-fitting procedure and then removed from the spectrum. Finally, local maxima are identified in the corrected spectrum. If an α peak is ambiguous, i.e. when several peaks are observed due to different physiological α activations or to a noisy spectral activity, the algorithm selects the most probable one based on the peaks detected in previous time windows. This approach allows the detection of small α activities and ensures a precise and stable detection of the α peak, without offline analysis or a prior estimation of a reference spectrum. This is particularly important for real-time applications like α-based neurofeedback for which a precise and stable feedback is required for an efficient learning.

Paper Citation

in Harvard Style

Grosselin F., Attal Y. and Chavez M. (2018). A Robust Method for the Individual Alpha Frequency Detection in EEG.In Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX, ISBN 978-989-758-326-1, pages 35-40. DOI: 10.5220/0006895700350040

in Bibtex Style

@conference{neurotechnix18,
author={F. Grosselin and Y. Attal and M. Chavez},
title={A Robust Method for the Individual Alpha Frequency Detection in EEG},
booktitle={Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,},
year={2018},
pages={35-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006895700350040},
isbn={978-989-758-326-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,
TI - A Robust Method for the Individual Alpha Frequency Detection in EEG
SN - 978-989-758-326-1
AU - Grosselin F.
AU - Attal Y.
AU - Chavez M.
PY - 2018
SP - 35
EP - 40
DO - 10.5220/0006895700350040