Abstract Number: Esoc2026ot133 Poc4triage: Point-of-Care Devices for Urgent Care Triage – Subhairline Electroencephalography and Functional Near-Infrared Spectroscopy for Stroke Detection

Abstract Background and aims Large vessel occlusion (LVO) stroke patients should be identified quickly in the prehospital setting to enable direct transportation to a centre capable of performing endovascular thrombectomy. Two promising technologies for prehospital identification of (LVO) stroke patients are subhairline electroencephalography (shEEG) and functional near-infrared spectroscopy (fNIRS). Methods One of the aims of the European POC4TRIAGE project is to develop and validate these novel Point-of-Care (POC) devices for rapid stroke diagnosis. Results POC4TRIAGE is an investigator-initiated, prospective, multicentre study. POC-devices for urgent care triage, including the shEEG and fNIRS devices, will be developed and evaluated within multiple European clinical centres. Based on retrospectively and prospectively collected patient data, AI-algorithms will be developed to identify LVO stroke and stroke patients with high diagnostic accuracy. Data is collected during three phases: the prototype testing, emergency room (ER) and prehospital phase. Prototype testing is executed to investigate user-friendliness, safety and data quality of both devices in healthy subjects and patients. The ER-phase includes measurements in suspected stroke patients at three European clinical centres. These measurements will primarily be used for algorithm development and validation. Prehospital measurements will be conducted by one ambulance station to evaluate the feasibility of prehospital measurements. Conclusions During the European POC4TRIAGE study, POC devices and corresponding AI-algorithms for stroke triage will be developed and validated. Conflict of interest