ENGLISH
La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS
RECHERCHER

Validation and benchmarking of a wearable EEG acquisition platform for real-world applications

Valentin, Olivier, Ducharme, Mikaël, Crétot-Richert, Gabrielle, Monsarrat-Chanon, Hami, Viallet, Guilhem, Delnavaz, Aidin et Voix, Jérémie. 2019. « Validation and benchmarking of a wearable EEG acquisition platform for real-world applications ». IEEE Transactions on Biomedical Circuits and Systems, vol. 13, nº 1. pp. 103-111.
Compte des citations dans Scopus : 31.

[thumbnail of Voix-J-2019-17572.pdf]
Prévisualisation
PDF
Voix-J-2019-17572.pdf - Version acceptée
Licence d'utilisation : Tous les droits réservés aux détenteurs du droit d'auteur.

Télécharger (4MB) | Prévisualisation

Résumé

This paper presents the experimental validation of a readout circuit for the acquisition, amplification, and transmission of extremely weak biopotentials with a focus on electroencephalography (EEG) signals. The device, dubbed CochlEEG, benefits from a low-power design for long-term power autonomy and provides configurable gain and sampling rates to suit the needs of various EEG applications. CochlEEG features high sampling rates, up to 4 kHz, low-noise signal acquisitions, support for active electrodes, and a potential for Wi-Fi data transmission. Moreover, it is lightweight, pocket size, and affordable, which makes CochlEEG suitable for wearable and real-world applications. The efficiency of CochlEEG in EEG data acquisition is also investigated in this paper. Auditory steady-state responses acquisition results validate CochlEEG's capability in recording EEG with a signal quality comparable to commercial mobile or research EEG acquisition devices. Moreover, the results of an oddball paradigm experiment prove the capability of CochlEEG in recording event-related potentials and demonstrate its potential for brain-computer interface applications and electrophysiological research applications requiring higher temporal resolution.

Type de document: Article publié dans une revue, révisé par les pairs
Professeur:
Professeur
Voix, Jérémie
Affiliation: Génie électrique
Date de dépôt: 19 nov. 2018 20:12
Dernière modification: 14 juill. 2021 15:08
URI: https://espace2.etsmtl.ca/id/eprint/17572

Actions (Authentification requise)

Dernière vérification avant le dépôt Dernière vérification avant le dépôt