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PAT/BP digital twin

Project
21022 RM4HEALTH
Type
Enhancement
Description

Modeling framework for continuous BP and other relevant cardiac parameter estimation.

Contact
Johan Plomp
Email
Johan.Plomp@vtt.fi
Research area(s)
Algorithms, Machine Learning
Technical features

End-to-end framework for continuous blood pressure and other cardiac parameter estimation solution (e.g. NYHA) Initialised by means of clinical examination of HF patients Uses wearable synchronized ECG-PPG sensors as input during use Partial processing of data on-device (peak detection). Proof of concept implemented, waiting for more pilot data for proper training.

Integration constraints

Framework can be adopted to be used for both limited computational capacity and otherwise. Wearable framework need synchronized ECG-PPG signals input.

Targeted customer(s)

Healthtech companies, Sports, and fitness monitoring companies.

Conditions for reuse

This is work in progress. Need to be validated with more data.

Confidentiality
Public
Publication date
31-12-2027
Involved partners
VTT Technical Research Centre of Finland Ltd. (FIN)
University of Turku (FIN)