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eess.SP2026

Evaluation of EEG Foundation Models for Event-Based Burst-Suppression Detection in ICU

Elisa Vasta, Thorir Mar Ingolfsson, Andrea Cossettini +4

Burst suppression (BS) is a clinically relevant electroencephalographic (EEG) pattern used to monitor sedation depth and brain activity in critically ill patients, particularly dur…

eess.SP2026

FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-low Power Microcontroller

Anna Tegon, Nicholas Lehmann, Yawei Li +3

Objective: To enable continuous, long-term neuro-monitoring on wearable devices by overcoming the computational bottlenecks of Transformer-based Electroencephalography (EEG) founda…

eess.SP2026

TinyMyo: a Tiny Foundation Model for Flexible EMG Signal Processing at the Edge

Matteo Fasulo, Giusy Spacone, Thorir Mar Ingolfsson +3

Objective: Surface electromyography (EMG) is a non-invasive sensing modality widely used in biomechanics, rehabilitation, prosthetic control, and human-machine interfaces. Despite…

eess.SP2025

GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG

Sebastian Frey, Mattia Alberto Lucchini, Victor Kartsch +7

Recent advancements in head-mounted wearable technology are revolutionizing the field of biopotential measurement, but the integration of these technologies into practical, user-fr…

eess.SP2025

Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation

Bálint Tóth, Dominik Senti, Thorir Mar Ingolfsson +4

Blood pressure (BP) is a key indicator of cardiovascular health. As hypertension remains a global cause of morbidity and mortality, accurate, continuous, and non-invasive BP monito…

eess.SP2024

Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces

Lan Mei, Cristian Cioflan, Thorir Mar Ingolfsson +4

Brain-machine interfaces (BMIs) are expanding beyond clinical settings thanks to advances in hardware and algorithms. However, they still face challenges in user-friendliness and s…