CEMIS-HYVIS - Predict, innovate, measure and analyse - wellbeing from lifestyle changes, safe and healthy working environment and safe products

The project supports all three themes of the Smart Specialization program of Kainuu. In theme 1 (development of innovations), both technological and service innovations represent measurement technology, i.e. the first focus area of this theme. In theme 2, social and health services from knowledge-intensive service sectors are supported by developing health technology that utilizes IoT, and by promoting occupational health through predictive health care and monitoring of working conditions and by developing data analytics tools. In the longer term, predictive calculation also supports active tourism and sports coaching. In theme 3, the project supports participation in interregional, demand-driven innovation processes. At the top of this is cooperation regarding healthcare IoT technology in the regions of northern Europe, as well as participation in international project proposals in the project's subject areas.

Picture: Coach4Health tool prototype.

Project duration

1.1.2023 - 30.6.2025

Core fields of research

Physical activity, health and wellbeing

Research areas

Vuokatti

Elite sport, data, and technology

Co-operation

JYU-Vuokatti, Kajaani University of Applied Sciences, CSC - IT Center for Science, University of Oulu (Measurement Technology Unit, Kajaani)

Faculty

Faculty of Sport and Health Sciences

Funding

European Union

JYU-Vuokatti's budget is 40 292 euros. Funding comes from the Regional Council of Kainuu (EU funding, 70%), Municipality of Sotkamo (14.9%) and Ģ��ֱ�� (15.1%).

Project description

The CEMIS-HYVIS project is part of a CEMIS development program, and is carried out in co-operation with the University Oulu (Measurement Technology Unit, Kajaani), Ģ��ֱ�� (JYU-Vuokatti), Kajaani University of Applied Sciences and CSC - IT Center for Science Ltd. The project is co-funded by the European Union (Regional Council of Kainuu).

The project has four main activities:
1. New IoT (internet of things) technologies producing lot of measurement data are used to monitor the indoor conditions of the built environment. Based on the monitoring data, energy consumption and well-being in the premises are optimized. Based on piloting, a system and service concept for companies and public actors is developed for monitoring the built environment.
2. As an example of utilizing IoT technology in health care, continuous sensor measurements required by the peritoneal dialysis device will be developed. Peritoneal dialysis makes it possible to transfer dialysis to home. A study will also be conducted on the current use of IoT technology in healthcare.
3. Occupational health and health care activities are supported by developing tools for predictive calculation of health. These can be used to motivate people by showing in which direction their body composition is changing with current lifestyle and, on the other hand, also by showing how the lifestyle changes made might affect. Through the application of the tools, active tourism and sports coaching will later benefit.
4. The project shall support the production of quality products by various companies producing 'clean' food, nutrition, health, welfare, hygiene and cosmetics products. This is done through the development of microbial analytics of production and service facilities, raw materials and products.

In this project the Ģ��ֱ��'s actions focus on main activity 3, in which the JYU-Vuokatti develops the first versions of prediction algorithms to estimate changes in body composition and physical capacity based on chosen physical activity and nutrition (as a part of three to six months long life style change process).

Objectives

To develop prediction calculations to estimate changes in body composition and physical capacity based on current body composition, amount and form of physical activity, nutrition, age and gender as well as achieved physical activity and nutrition. The calculations will be integrated into a prototype user interface, developed in co-operation with the Kajaani University of Applied Sciences, that visualizes the predictions/changes. After the project, calculation models will be in place, which can be further validated through a pilot with lifestyle changes.

Actions

Prediction calculation development: brainstorming, design and preparation of tools for the development of the topic. Development work is founded on scientific literature review and a multidisciplinary CEMIS expertise. The data used for predictive calculations will include baseline information (body composition, amount and form of physical activity, gender, age and a rough estimate of diet). The visualization of the results of the predictive calculations are presented by a prototype of an user interface - before and after a lifestyle change to provide a motivational effect. The development work will focus on highlighting the need for a lifestyle change and the effects of the lifestyle change made, whether it is an increase in physical activity or a healthier diet.

Results

First versions of predictive calculations which are integrated into a first prototype on a Coach4Health user interface.
The user interface prototype is ready for used in pilots after the project.
Preliminary plan to pilot the user interface/calculations.
Professional publication or scientific article.

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