Advanced Stroke Triage Technology
Leveraging powerful machine learning tools and secure data management to help first responders (stroke triage inside the ambulance) to save lives.
The goal of EEG4STROKE is to develop a new product that enables paramedics to accurately diagnose patients with a suspected stroke on site whether that’s in the ambulance or wherever the patient is located. We will integrate hardware and MedRecord’s software in order to triage stroke patients. Early triage ensures quicker hospital selection and faster treatment, which will drastically improve the patient’s outlook for recovery.
Strokes are the most frequent cause of long-term disability and the third most frequent cause of death in developed countries. Due to the aging population in Europe, the annual incidence of stroke is expected to increase from 1.1 million in 2000 to 1.5 million in 2025.
A successful treatment for stroke patients is available, but often delivered too late in many patients. This is why it’s critical to facilitate an accurate diagnosis and triage by paramedics, allow for the faster response and treatment of these cases and therefore improve the recovery outcome for stroke patients.
Getting stroke patients to the right hospital as fast as possible to minimize damage to the brain.
Suspected stroke victims can be triaged easily and accurately, whether it’s in the ambulance or wherever they’re located.
Machine learning to make the detection of stroke more and more accurate over time.
The EEG4Stroke project has a total budget € 2,2 million from which € 1,1 is funded by the partners themselves, and € 1,1 funded by Eurostars.
Eurostars supports international innovative projects led by research and development- performing small- and medium-sized enterprises (R&D-performing SMEs).
With its bottom-up approach, Eurostars supports the development of rapidly marketable innovative products, processes and services that help improve the daily lives of people around the world. Eurostars has been carefully developed to meet the specific needs of SMEs. It is an ideal first step in international cooperation, enabling small businesses to combine and share expertise and benefit from working beyond national borders.
The Food-Friend application assists people that are using tube feeding devices by making their nutritional and fluid intake accurate and easily trackable.
mHealthNX provides an innovative approach to the detection and treatment of stress and other mental health issues through a gamified VR environment and personalized strategies.
Advanced wearable technology combined with machine learning provide secure and easy remote monitoring of patient health after heart procedures.