AI4NightWorkers
Fund for the development of Artificial Intelligence, Blockchain and Internet of Things technologies and applications
AI4NightWorkers is a research and innovation project aimed at developing and pre-validating an advanced technological solution for monitoring the health of workers engaged in night shifts. The project was created with the objective of assessing, both qualitatively and quantitatively, the cardiovascular risk associated with night work, while preventing or detecting at an early stage potentially serious health consequences through the combined use of Artificial Intelligence techniques and wearable medical devices.
At the heart of AI4NightWorkers is the idea of adopting a non-invasive, sustainable and economically accessible data collection model, capable of identifying early signals and patterns associated with clinical risk conditions. This approach can support the timely activation of diagnostic investigations and targeted clinical checks, helping to protect workers' health.
The solution will consist of interoperable modules designed to detect different parameters of clinical and behavioural interest. The project benefits from the scientific contribution of the Interdisciplinary Department of Medicine of the University of Bari, which will define the medical-scientific framework and a monitoring protocol based on:
- detection of physiological parameters;
- analysis of sleep rhythms;
- administration of questionnaires;
- collection of environmental data.
All collected data will flow into a centralised cloud platform, capable of integrating information from different devices, including wearables, electromedical devices, tablets and smartphones, either through direct connections or dedicated gateways. The system will also include a structured database to support the training of predictive models, classifiers and Deep Learning networks.
AI4NightWorkers is positioned within the strategic healthcare sector and aims to bring to the national and international market an innovative hardware and software platform capable of improving cardiovascular risk monitoring in night workers through the latest applications of Artificial Intelligence.
Partnership
LEAD PARTNER - NAPS LAB - Prog n. FTE0000424 – CUP: B97H22005000008 - COR: 22675821
PARTNER - AGEING TECH - Prog n. FTE0000424 – CUP: B67H22005870008 - COR: 22675819
PARTNER - UNIVERSITA' DEGLI STUDI DI BARI - Prog n. FTE0000424 – CUP: B97H22005010008 - COR: 22675818
Grant information - AGEING TECH
Eligible research costs
Eligible development costs - € 125.850,00
Total grant - € 208.710,00