EEG alpha rhythm detection on a portable device
Share:
Giordano B.S.Seco, Günther J.L.Gerhardt, Alex A.Biazotti, André L.Molan, Suzana V.Schönwald, José L.Rybarczyk-Filho
Highlights
We analysed alpha rhythm using the EMOTIV EPOC+ 14 channel EEG headset.
We compared two signal analysis techniques – MP and FFT.
EMOTIV EPOC+ and MP can be used in alpha rhythm studies.
Abstract
Portable EEG devices have a great potential to become efficient computer interfaces. However, a necessary step is to accurately describe the EEG signal in order to quantify brain rhythms. This study explored two signal analysis techniques, Matching Pursuit (MP) and Fast Fourier Transform (FFT), for differentiation between two states, eyes open (EO) and eyes closed (EC), through the detection of EEG alpha activity obtained from seven scalp regions, using a portable EEG device. Subjects were ten healthy male volunteers. MP results generally reproduced the results from FFT analysis, and all methods performed well on the occipital region. However, there was better state discrimination with MP atom number, and MP atom number was the only variable that reached statistical significance on all locations under study. When employing EEG alpha rhythm for EO vs. EC state discrimination, it may be useful to compute MP atom number, especially when extra-occipital acquisition is warranted.
Giordano B.S.Seco, Günther J.L.Gerhardt, Alex A.Biazotti, André L.Molan, Suzana V.Schönwald, José L.Rybarczyk-Filho
Highlights
We analysed alpha rhythm using the EMOTIV EPOC+ 14 channel EEG headset.
We compared two signal analysis techniques – MP and FFT.
EMOTIV EPOC+ and MP can be used in alpha rhythm studies.
Abstract
Portable EEG devices have a great potential to become efficient computer interfaces. However, a necessary step is to accurately describe the EEG signal in order to quantify brain rhythms. This study explored two signal analysis techniques, Matching Pursuit (MP) and Fast Fourier Transform (FFT), for differentiation between two states, eyes open (EO) and eyes closed (EC), through the detection of EEG alpha activity obtained from seven scalp regions, using a portable EEG device. Subjects were ten healthy male volunteers. MP results generally reproduced the results from FFT analysis, and all methods performed well on the occipital region. However, there was better state discrimination with MP atom number, and MP atom number was the only variable that reached statistical significance on all locations under study. When employing EEG alpha rhythm for EO vs. EC state discrimination, it may be useful to compute MP atom number, especially when extra-occipital acquisition is warranted.
Giordano B.S.Seco, Günther J.L.Gerhardt, Alex A.Biazotti, André L.Molan, Suzana V.Schönwald, José L.Rybarczyk-Filho
Highlights
We analysed alpha rhythm using the EMOTIV EPOC+ 14 channel EEG headset.
We compared two signal analysis techniques – MP and FFT.
EMOTIV EPOC+ and MP can be used in alpha rhythm studies.
Abstract
Portable EEG devices have a great potential to become efficient computer interfaces. However, a necessary step is to accurately describe the EEG signal in order to quantify brain rhythms. This study explored two signal analysis techniques, Matching Pursuit (MP) and Fast Fourier Transform (FFT), for differentiation between two states, eyes open (EO) and eyes closed (EC), through the detection of EEG alpha activity obtained from seven scalp regions, using a portable EEG device. Subjects were ten healthy male volunteers. MP results generally reproduced the results from FFT analysis, and all methods performed well on the occipital region. However, there was better state discrimination with MP atom number, and MP atom number was the only variable that reached statistical significance on all locations under study. When employing EEG alpha rhythm for EO vs. EC state discrimination, it may be useful to compute MP atom number, especially when extra-occipital acquisition is warranted.
Solutions
Support
Company
© 2026 EMOTIV, All rights reserved.
Your Privacy Choices (Cookie Settings)
*Disclaimer – EMOTIV products are intended to be used for research applications and personal use only. Our products are not sold as Medical Devices as defined in EU directive 93/42/EEC. Our products are not designed or intended to be used for diagnosis or treatment of disease.
Note on Translations: Non-English versions of this website has been translated for your convenience using artificial intelligence. While we strive for accuracy, automated translations may contain errors or nuances that differ from the original text. For the most accurate information, please refer to the English version of this site.
Solutions
Support
Company
© 2026 EMOTIV, All rights reserved.
Your Privacy Choices (Cookie Settings)
*Disclaimer – EMOTIV products are intended to be used for research applications and personal use only. Our products are not sold as Medical Devices as defined in EU directive 93/42/EEC. Our products are not designed or intended to be used for diagnosis or treatment of disease.
Note on Translations: Non-English versions of this website has been translated for your convenience using artificial intelligence. While we strive for accuracy, automated translations may contain errors or nuances that differ from the original text. For the most accurate information, please refer to the English version of this site.
Solutions
Support
Company
© 2026 EMOTIV, All rights reserved.
Your Privacy Choices (Cookie Settings)
*Disclaimer – EMOTIV products are intended to be used for research applications and personal use only. Our products are not sold as Medical Devices as defined in EU directive 93/42/EEC. Our products are not designed or intended to be used for diagnosis or treatment of disease.
Note on Translations: Non-English versions of this website has been translated for your convenience using artificial intelligence. While we strive for accuracy, automated translations may contain errors or nuances that differ from the original text. For the most accurate information, please refer to the English version of this site.