@inproceedings{
 title = {On the development of a simple EEG-based mouse using Empirical Mode Decomposition and DWT: A BCI application},
 type = {inproceedings},
 year = {2011},
 pages = {70-73},
 websites = {https://www-elec.inaoep.mx/~jmram/cvjmr/On the development-IGS-2011.pdf},
 id = {5e2f6119-cf14-3c46-851e-dd00f4871254},
 created = {2022-08-29T17:43:03.775Z},
 file_attached = {false},
 profile_id = {940dd160-7d67-3a5f-b9f8-935da0571367},
 group_id = {92fccab2-8d44-33bc-b301-7b94bb18523c},
 last_modified = {2022-08-29T17:43:03.775Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 source_type = {CONF},
 private_publication = {false},
 abstract = {This paper presents an on-going project on the development of a simple cursor control emulating the typical operations of a computer-mouse, using Electrooculography signals (EOG) obtained indirectly through a commercial 16-electrodes wireless headset originally used to acquired EEG signals. The cursor position is controlled using information from a gyroscope included in the headset. The clicks are generated through the user’s blinking with an adequate detection procedure based on spectral analysis. Empirical Mode Decomposition (EMD) technique is explored as a simple and quick computational tool, yet effective, aimed to the pulse detection in a noisy signal, as well as a validation method to distinguish between natural blinking and blinks for control. EMD is compared with a spectral analysis based on the Discrete Wavelet Transform (DWT). The experimental setup, some obtained results, and a comparison among the two used spectral analysis, are presented.},
 bibtype = {inproceedings},
 author = {Rosas-Cholula, G and Ramirez-Cortes, J M and Escamilla-Ambrosio, J and Alarcon-Aquino, V},
 booktitle = {15th IGS Conference}
}

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