STRAP

2020

The STRAP consortium aims to reduce the burden of heart disease by early detecting heart disease deterioration, benefiting patients, healthcare workers, and society. This initiative responds to acute needs observed in cardiology clinics, combined with the increasing availability of health tracking technologies. The project focuses on developing a new, AI-powered solution using cost-effective technology to maximize impact on healthcare costs.

The Research
STRAP is dedicated to developing a comprehensive data collection platform integrating off-the-shelf and cutting-edge self-tracking technologies. This platform empowers patients to measure vital signs at home, eliminating the need for frequent clinic visits and enabling longitudinal data collection on daily activities and emotions. The platform enhances self-tracking adherence through gamification strategies. The project involves developing and evaluating novel diagnostic and prognostic methods through two trials with target groups where notable improvements are achievable and highly impactful:

Trial for Elderly Heart Patients: reducing re-hospitalization among elderly heart patients to minimize health deterioration and healthcare costs.
Trial at Cardiac Outpatient Clinics: lower costs and enhance the quality of heart disease diagnosis for individuals attending cardiac outpatient clinics.

The foundation of the trials is twofold. Establishing a Robust Dataset: creating an interconnected dataset to evaluate digitalized techniques' performance in relation to health records. This dataset incorporates electrocardiography data, stethoscope audio recordings, wrist-worn device activity levels, electronic nose sensor data, and self-reported information via IoT technologies, including parameters like water consumption, sleep patterns, real-time feelings, physiological responses, and overall patient well-being. Employing this diverse dataset, STRAP develops innovative analysis and early diagnosis methods to advance heart disease detection and monitoring.

Through these efforts, STRAP aims to implement advanced technologies and data-driven approaches to significantly impact heart disease management.

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.

Collaborators

Contact person:

P. Markopoulos

p.markopoulos@tue.nl

Principal investigators

Prof. Dr. P. Markopoulos (Panos)

Project Coordinator

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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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BENEFIT

2017

A healthy lifestyle underlies adequate cardiovascular risk management. However, current initiatives to promote a healthy lifestyle are only sparsely connected and often do not involve the patient's environment. To solve this, cardiologists, neurologists, general practitioners, scientists, entrepreneurs, and patients have united in the BENEFIT project.
The research 
Our mission is to make healthy living fun. Rather than telling people how to behave, we make healthy lifestyle choices appealing: the carrot is mightier than the stick. BENEFIT is an advanced loyalty program that rewards cardiovascular patients for the time and energy spent on healthy lifestyle activities. BENEFIT loyalty points can be earned for a range of health behaviors, such as exercising daily, abstaining from smoking, attending prevention programs, and showing up for health appointments. The BENEFIT program has different levels, ranging from a simple to use card-and-beacon system to an advanced digital platform that allows access to evidence-based lifestyle maintenance interventions, personal coaching, and smart technology. By rewarding everyday lifestyle and adherence behaviors, the program integrates care and non-care settings and facilitates embedding the new lifestyle in everyday life.
Our goal is to create a national ecosystem in which evidence-based interventions to promote a healthy lifestyle are embedded in a system that rewards people for taking actions that contribute to such a healthy lifestyle. The central element of this ecosystem is a sophisticated loyalty program that encourages people to live healthy lifestyles for the long term. No more finger-pointing: the very act of rewarding a healthy lifestyle is stimulating! The ecosystem that we provide connects public and private parties, integrates existing care and lifestyle programs, has future-proof financing, and is constantly fed by scientific insights. BENEFIT for all!
The origin
The BENEFIT program is a public-private ecosystem in a national consortium, aiming to support patients with cardiovascular disease in their own home setting for a long-term healthy lifestyle. The Heart Foundation aims for more people to make healthy choices, so that they feel vital and run less risk of developing (again) cardiovascular diseases, which was one of the themes of the research agenda. Therefore, the Dutch Heart Foundation and ZonMw have collaborated to fund this program.

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