PAT/BP digital twin
- Project
- 21022 RM4HEALTH
- Type
- Enhancement
- Description
Modeling framework for continuous BP and other relevant cardiac parameter estimation.
- Contact
- Johan Plomp
- 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)