WP3

Lead: Stichting Imec Nederland

We analyze large datasets from existing and prospective clinical studies for parameterization of virtual human twin models.​

We develop wearable devices to generate data for dynamic personalization of virtual human twins.

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Objectives

1: Analysis of clinical pulse wave data from retrospective studies for integration with virtual human twin models.
2: Identification of novel biomarkers (from pulse waves and beyond) accessible with a multi-modal wearable system for dynamic personalisation of virtual human twin models.
3: Adaptive development of a multi-modal wearable system and its provision for use in prospective clinical studies, enabling continuous biosignal acquisition in transient hemodynamic conditions.
4: Development of algorithms for signal fusion and biomarker extraction (from pulse wave analysis and beyond), serving as dynamic input and output parameters for personalisation of virtual human twin models.
5: Development of modalities for standardised integration of biomarkers from continuous wearable data in virtual human twin models.