ECG project UMCU

2020

The correct interpretation of electrocardiograms (ECGs) is crucial for accurately diagnosing cardiac abnormalities. Current methods, both manual by physicians and computerized, have not achieved the level of accuracy comparable to cardiologists in detecting acute cardiac issues. Leveraging advancements in artificial intelligence and big data, particularly deep neural networks, offers promising avenues to improve ECG interpretation where traditional methods have fallen short. The ECG-Project develops deep learning algorithms to automate ECG interpretation, particularly focusing on areas where current methods are inadequate.

Through this research, we aim to revolutionize ECG interpretation, improving diagnostic accuracy, reducing healthcare resource utilization, and ultimately enhancing patient outcomes.

The Research
The project objectives are:

  1. WP1: Creating an algorithm capable of accurately and swiftly triaging ECGs through transfer learning, uncovering features in diseases with unknown ECG characteristics (such as primary arrhythmia syndromes and genetic disorders).
  2. WP2: design a portable multi-lead ecg-device, suitable for use by patients at home and healthcare professionals. This device will enable high-quality ECG acquisitions for rapid diagnosis.

Origin
This project is funded within the Innovative Medical Devices Initiative (IMDI) program 'Heart for Sustainable Care'. The focus of this program is the development of medical technology for the earlier detection, monitoring, and better treatment of cardiovascular diseases to ensure accessible healthcare and sufficient staffing. The program has been developed and funded by the Dutch Heart Foundation, ZonMw and NWO, who collaborate within the Dutch CardioVascular Alliance.

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PERFECT-FIT

2020
Smoking tobacco and physical inactivity are key preventable risk factors of cardiovascular disease (CVD). Perfect Fit aims to prevent CVD, promote well-being, and reduce healthcare costs, particularly targeting disadvantaged populations where smoking and physical inactivity are prevalent. The Research The project develops tailored, evidence-based, near real-time computer coaching for quitting smoking and enhancing PA. For every individual, a personal model is designed which generates personalized recommendations based on high-quality existing and newly collected data, and adapts to changing circumstances/progress (similar to a TomTom navigation system), using machine learning techniques and incorporating domain-specific expert knowledge (e.g. health behaviour change strategies). Virtual coaches (VCs) communicate advice in a motivating way that fits individuals’ persuasive communication styles. Perfect Fit integrates big-data science, sensor technology, and personalized real-time feedback to support smoking cessation and promote adequate physical activity (in both gym settings and daily life). The key questions of this study are: Which adaptivity is needed to create a robust, safe, and effective interaction between individuals and machines? How can we develop advanced data science methods and embed this in current smoking cessation and PA coaching practice? How do measurement modalities, feedback and communication affect individuals’ smoking status and PA? Origin This project was funded within the Big Data & Health Program. The focus of this public-private research program is the use of big data for the early detection and prevention of cardiovascular diseases. The program has been developed by NWO, ZonMw, the Dutch Heart Foundation, the Top Sectors Life Sciences & Health (LSH), ICT and Creative Industry, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center. Within this research program, the ambitions of the Dutch Heart Foundation, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center were aligned with the ambitions of Commit2Data for the Top Sectors ICT, LSH, and Creative Industry, as described in the 2018-2019 Kennis- en Innovatiecontracts between NWO and the Top Sectors.
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National Network Healthy Living in a Healthy Environment

2022
Promoting a healthy lifestyle and maintaining it for a long time is crucial for the prevention of cardiovascular diseases. Lifestyle change areonly sustainable and impactful if it takes into account the context in which it occurs. The research Therefore, this netwerk will disseminate this insight widely to policymakers, researchers and everyone who contributes to promoting healthy behaviors. In this way, we can collectively achieve greater health gains when implementing potentially successful interventions. The ultimate goal is to achieve sustainable and impactful lifestyle change in the population. In the projects LIKE, BENEFIT and SUPREME NUDGE, unique expertise has been gained in the field of (1) embedding lifestyle interventions in complex systems, and (2) changing systems underlying lifestyle behavior. Within this national network, we want to disseminate and embed this expertise among researchers, practice professionals and policy makers. We will combine this expertise in the form of two toolboxes; a toolbox for practice professionals and policy makers and a toolbox for researchers. To this end, existing tools will be adapted, where necessary, to make them more widely usable. We aim to embed the toolboxes in (existing) structures and will make the toolboxes findable and disseminated through this netwerk. This network will serve as a structure for connections between stakeholders and contribute to the realization of a sustainable knowledge infrastructure. With this project we identify and create important conditions for successful further development and upscaling of innovative and sustainable ways to sustain healthy living for longer. With this we go further than many existing networks and knowledge infrastructures that focus only on 'effective interventions' but not on the structural embedding in systems or addressing the systems themselves. The origin From 2017, the Dutch Heart Foundation, together with ZonMw, invested in research by three healthy living consortia (LIKE, BENEFIT and SUPREME NUDGE). The common goal was to find new ways to achieve sustainable and impactful lifestyle change in the population. Heart Foundation and ZonMw asked the three healthy living consortia Supreme Nudge, LIKE and Benefit to join forces within this theme by using the knowledge they have gained over the past few years. Although the three consortia each had a different approach, the research leaders agreed on what is needed for lifestyle change to be truly successful: a shift in thinking about lifestyle change. Subsequently, the Dutch Heart Foundation and ZonMw provided follow-up funding to join forces and acquired knowledge in a new knowledge infrastructure.
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