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Poster Année : 2019

Technology Brain Computer Interface for Autonomy: Patient-adapted ergonomic headset for dry-EEG P300 speller

Résumé

Recent work demonstrates feasibility for ALS patients to communicate via P300 speller [1], but end-user's expectations are not met concerning comfort and ease of use, particularly for patient under heavy pathology [8]. One challenge for daily use [8],[9] is to provide patients with gel-free headsets that are easy to put on and comfortable while providing enough signal quality for accurate P300 classification. Our proposal is to custom design a silicone headset to fit patient's head morphology [5], paying attention on good pressure distribution and hair layer penetration. We will firstly show feasibility of Dry P300Speller with State-of-the-Art amplifier, then analyze electrode impedance variation over time while the headset is worn, and its relation to P300 classification accuracy.
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Dates et versions

hal-03387284 , version 1 (20-10-2021)

Identifiants

  • HAL Id : hal-03387284 , version 1

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Sofiane Guebba, Violaine Guy, Théodore Papadopoulo, Marianne Bruno, Maureen Clerc, et al.. Technology Brain Computer Interface for Autonomy: Patient-adapted ergonomic headset for dry-EEG P300 speller. 8th Graz Brain-Computer Interface Conference, Sep 2019, Graz, Austria. ⟨hal-03387284⟩
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