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ECG AIMO AI-based ECG Monitoring and Outcome Prediction

Reference number
Coordinator COALA-LIFE AB - Coala Life AB
Funding from Vinnova SEK 1 233 120
Project duration November 2017 - December 2019
Status Completed
Venture Digital health

Purpose and goal

Aim with the project was to develop an AI-based system for the prediction of heart disease at the individual level. The project´s objectives and objective have been met by the development and implementation of an AI-based system powered by the Coala Heart Monitor system. Furthermore, clinical needs analysis, system evaluation and clinical feedback have been carried out. Within the framework of the project, scientific publications / reports have been completed and started. The system is now under training and the assessment is that it can be CE approved and launched in 2020.

Expected results and effects

The result is that the patient profile and AI module are implemented and integrated in Coala Heart Monitor with an automated risk assessment for the individual. The AI system will be updated continuously as new data is added and the accuracy of the individual risk assessment is improved. This increases the possibility of identifying people at significant early risk of atrial fibrillation, and the development of the heart health of these individuals can then be closely monitored. Furthermore, conditions are created for commercializing the system, with the need for additional manpower.

Planned approach and implementation

The project has been carried out in collaboration between three parties; Cardiolund AB, Coala Life AB and Region Gävleborg. The project included three work packages: (i) development of Patient Profile and AI module, (ii) integration of software into existing ECG system and (iii) clinical needs analysis, system evaluation and feedback. In summary: - Overall project schedule was kept. - Respective work packages achieved overall budget and objectives. - The breadth of the project with researchers, developers and clinics contributed to new insights.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 23 January 2020

Reference number 2017-04579

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