We present an unobtrusive and minimally invasive system for acquiring 8-channels of EEG behind the ear, to support brain activity monitoring in a socially acceptable fashion and outside clinical environments. Electrical performance are in line with those of clinical EEG systems (0.48 μVRMS integrated noise in the [0-100] Hz band, 106 dB CMRR) and setup is extremely fast, requiring only a mild cleaning of the skin before applying the device. The system can acquire typical brain activity rhythms and potentials evoked by sensory stimuli, which are at the basis of BCI systems. Current consumption is 6.2 rnA, plus 16 mA for Bluetooth® data transmission (4.5 hours life on a 100 mAh battery). The overall cost of components is below 50 USD.

Guermandi, M., Benatti, S., Kartsch Morinigo, V.J., Benini Luca (2018). A Wearable Device for Minimally-Invasive Behind-the-Ear EEG and Evoked Potentials. Institute of Electrical and Electronics Engineers Inc. [10.1109/BIOCAS.2018.8584814].

A Wearable Device for Minimally-Invasive Behind-the-Ear EEG and Evoked Potentials

Guermandi, Marco;Benatti, Simone;Kartsch Morinigo, Victor Javier;Benini Luca
2018

Abstract

We present an unobtrusive and minimally invasive system for acquiring 8-channels of EEG behind the ear, to support brain activity monitoring in a socially acceptable fashion and outside clinical environments. Electrical performance are in line with those of clinical EEG systems (0.48 μVRMS integrated noise in the [0-100] Hz band, 106 dB CMRR) and setup is extremely fast, requiring only a mild cleaning of the skin before applying the device. The system can acquire typical brain activity rhythms and potentials evoked by sensory stimuli, which are at the basis of BCI systems. Current consumption is 6.2 rnA, plus 16 mA for Bluetooth® data transmission (4.5 hours life on a 100 mAh battery). The overall cost of components is below 50 USD.
2018
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Guermandi, M., Benatti, S., Kartsch Morinigo, V.J., Benini Luca (2018). A Wearable Device for Minimally-Invasive Behind-the-Ear EEG and Evoked Potentials. Institute of Electrical and Electronics Engineers Inc. [10.1109/BIOCAS.2018.8584814].
Guermandi, Marco*; Benatti, Simone; Kartsch Morinigo, Victor Javier; Benini Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/678681
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