SonNEEM
Sonnefined neurological EEG events monitoring
Description: The project addresses a growing challenge in intensive care units (ICUs): the overwhelming volume and complexity of patient data that can contribute to delayed responses, diagnostic errors, and cognitive overload among healthcare staff. In particular, the interpretation of continuous EEG (cEEG) data remains time-consuming and expertise-intensive, despite its crucial role in detecting seizures and brain activity suppression in critically ill patients.
SonNEEM aims to combine artificial intelligence (AI) with auditory displays (ADs) to develop a novel real-time system for sonifying EEG signals. By translating complex EEG patterns—such as burst suppression and epileptiform activity—into intuitive sound cues, the system will support faster recognition, peripheral monitoring, and reduce mental workload in high-pressure environments like the ICU.
Funding: DIZH
Team: Dr. Una Pale Simon (UZH/USZ), Dr. phil. Daniel Hug (ZHdK Departement of Music), Prof. MD. Emanuela Keller (UZH/USZ), Prof. Dr. Anna Lisa Martin-Niedecken (ZHdK Departement of Design), MSc. Jenny Schmid (UZH/USZ)
Practice partners: Klinik Lengg AG, Epileptologie, Universitätsspital Zürich, Klinik für Neurologie