Abstract
The recording of high-frequency oscillations (HFO) through the skull has been investigated in the last years highlighting interesting new correlations between the EEG signals and common mental diseases. Therefore, since most of the commercially available EEG acquisition systems are focused on the low frequency signals, a wide-band EEG recorder is here presented. The proposed system is designed for those applications in which a wearable and user-friendly device is required. Using a standard Bluetooth (BT) module to transfers the acquired signals to a remote back-end, it can be easily interfaced with the nowadays widely spread smartphones or tablets by means of a mobile-based application. A Component Off-The-Shelf (COTS) device was designed on a \(19\,\text {cm}^{2}\) custom PCB with a low-power 8-channel acquisition module and a \(24-bit\) Analog to Digital Converter (ADC). The presented system, validated through in-vivo experiments, allows EEG signals recording at different sample rates, with a maximum bandwidth of \(524\,\text {Hz}\), and exhibits a maximum power consumption of 270 mW.
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References
Alonso, J., Angermeyer, M.C., Bernert, S., et al.: Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychiatr. Scand. 109, 21–27 (2004)
Olesen, J., Gustavsson, A., Svensson, M., Wittchen, H.-U., et al.: The economic cost of brain disorders in Europe. Eur. J. Neurol. 19, 74–80 (2003)
Waterhouse, E.: New horizons in ambulatory electroencephalography. Eng. Med. Biol. Mag. 22, 74–80 (2003)
Brown, L., Van de Molengraft, J., Yazicioglu, R.F., Torfs, T., et al.: A low-power, wireless, 8-channel EEG monitoring headset. In: 32nd Annual International Conference of the IEEE EMBS Engineering in Medicine and Biology Society (EMBC), pp. 4197–4200 (2010)
Carmo, J.P., Dias, N.S., Silva, H.R., Mendes, P.M., et al.: A 2.4-GHz low-power/low-voltage wireless plug-and-play module for EEG applications. Sens. J. 7, 1524–1531 (2007)
Lin, C.-T., Ko, L.-W., Chiou, J.-C., Duann, J.-R., Huang, R.-S., Liang, S.-F., Chiu, T.-W., Jung, T.-P.: Noninvasive neural prostheses using mobile and wireless EEG. Proc. IEEE 96, 1167–1183 (2008)
Emotiv (2013). http://emotiv.com
Quasar (2013). http://www.quasarusa.com
NeuroSky (2009). http://neurosky.com
Patki, S., Grundlehner, B., Verwegen, A., Mitra, S., Xu, J., Matsumoto, A., Yazicioglu, R.F., Penders, J.: Wireless EEG system with real time impedance monitoring and active electrodes. Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE, pp. 108–111 (2012)
Mihajlovic, V., Grundlehner, B., Vullers, R., Penders, J.: Wearable, wireless EEG solutions in daily life applications: what are we missing? IEEE J. Biomed. Health Inf. 99, 1 (2014)
Tachakra, S., Wang, X.H., Istepanian, R.S.H., Song, Y.H.: Mobile e-Health: the unwired evolution of telemedicine. Telemedicine J. e-Health 9(3), 247–257 (2003)
Chan, S.R., Torous, J., Hinton, L., Yellowlees, P.: Mobile tele-mental health: increasing applications and a move to hybrid models of care. Healthcare 2(2), 220–233 (2014)
Lupu, C., Cosmin-Constantin, M.: Actual portable devices as base for telemedicine and e-health: Research and case study application. In: E-Health and Bioengineering Conference (EHB), 2013, PP. 1–4 (2013)
El Khaddar, M.A., Harroud, H., Boulmalf, M., ElKoutbi, M., Habbani, A.: Emerging wireless technologies in e-health trends, challenges, and framework design issues. In: 2012 International Conference on Multimedia Computing and Systems (ICMCS), pp. 440–445 (2012)
Aaron Smith: Smartphone Ownership 2013. Pew Research Center (2013). http://www.pewinternet.org/2013/06/05/smartphone-ownership-2013/
Micromed: Brain Quick (2014). http://www.micromed.eu
Riera, A., Dunne, S., Cester, I., Ruffini, G.: STARFAST: a Wireless Wearable EEG/ECG Biometric System based on the ENOBIO Sensor. In: Proceedings of the International Workshop on Wearable Micro and Nanosystems for Personalised Health (pHealth08) (2008)
Acknowledgements
The authors would like to thank Dr. Matteo Fraschini and Matteo Demuru from the University of Cagliari for their support on EEG recording in-vivo experiments. L. Bisoni gratefully acknowledges Sardinia Regional Government for the financial support of his PhD scholarship (P.O.R. Sardegna F.S.E. Operational Programme of the Autonomous Region of Sardinia, European Social Fund 2007-2013 - Axis IV Human Resources, Objective l.3, Line of Activity l.3.1.).
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Bisoni, L., Mastinu, E., Barbaro, M. (2015). A Wearable Device for High-Frequency EEG Signal Recording. In: Fred, A., Gamboa, H., Elias, D. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2015. Communications in Computer and Information Science, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-27707-3_5
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DOI: https://doi.org/10.1007/978-3-319-27707-3_5
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