Noninvasive Multiparameter Monitoring for the Detection of Decompensated Heart Failure: Exploratory Study
An MPM using a noninvasive wrist-worn device, measuring HR, IBI, RR, AC, and EE, showed high specificity but low sensitivity for the prediction of decompensated HF and HF-related mortality. Low sensitivity likely reflects the extreme class imbalance and sequences with low data quality (especially HR, RR, and sleep), resulting in exclusion from training the MPM in our older, real-world HF cohort. Future studies should improve data fidelity and enroll larger cohorts to address class imbalance and enhance predictive performance.
Authors
- Jialu Tang (ORCID: https://orcid.org/0009-0008-3361-8479)
- Aaqib Saeed (ORCID: https://orcid.org/0000-0003-1473-0322)
- Hareld Kemps (ORCID: https://orcid.org/0000-0003-0272-4355)
- Cyrille Herkert (ORCID: https://orcid.org/0000-0002-1191-8322)
- Mayke van Leunen (ORCID: https://orcid.org/0000-0002-5048-3747)
- Yuan Lü (ORCID: https://orcid.org/0000-0003-2480-2051)
- Ruud F. Spee (ORCID: https://orcid.org/0000-0003-2885-8538)
- I L J De Lathauwer (ORCID: https://orcid.org/0009-0008-6639-9428)
- Valerie A. A. van Es (ORCID: https://orcid.org/0000-0002-4946-6288)
Institutions
- IMT School for Advanced Studies Lucca (IT)
- Radboud University Nijmegen (NL)
- Máxima Medisch Centrum (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-10-08
- DOI
- https://doi.org/10.2196/59116
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00