Wearable EEG

A Wearable Ultra-Low-Power System for EEG-Based Speech-Imagery Interfaces
First fully wearable EEG speech-imagery system delivering 13-class decoding on GAP9 at 25.93 mW with >21 hours autonomy.
Thorir Mar Ingolfsson, Victor Javier Kartsch, Luca Benini, Andrea Cossettini
IEEE Xplore
IEEE BioCAS 2024
Oral presentation of VowelNet and poster presentation of Train-on-Request at IEEE BioCAS 2024 in Xi’an.
17, Oct, 2024 Xi'an International Conference Center, Xi'an, China
Slides VowelNet oral slides Train-on-Request poster PDF VowelNet publication Train-on-Request publication
IEEE BioCAS 2024
VowelNet: Enhancing Communication with Wearable EEG-Based Vowel Imagery
Lightweight imagined-speech decoder that runs on GAP9 at 17 mW using only eight EEG channels.
Thorir Mar Ingolfsson, Victor Javier Kartsch Morinigo, Andrea Cossettini, Xiaying Wang, Luca Benini
PDF PDF (ETH Research Collection)
Minimizing Artifact-Induced False Alarms for Seizure Detection in Wearable EEG Devices with Gradient-Boosted Tree Classifiers
Gradient-boosted seizure + artifact detection that cuts false alarms by 96% while enabling 300-hour wearable monitoring.
Thorir Mar Ingolfsson, Simone Benatti, Xiaying Wang, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Sándor Beniczky, Luca Benini, Andrea Cossettini
PDF Cite Dataset Scientific Reports Article CHB-MIT Dataset
Minimizing Artifact-Induced False Alarms for Seizure Detection in Wearable EEG Devices with Gradient-Boosted Tree Classifiers
IEEE BioCAS 2023
Oral presentation of EpiDeNet and poster presentation of SkiLog at IEEE BioCAS 2023.
19, Oct, 2023 Beanfield Centre, Toronto, Canada
Slides EpiDeNet oral slides SkiLog poster handout EpiDeNet publication SkiLog publication
IEEE BioCAS 2023