Comparison of Techniques for Respiratory Rate Extraction from Electrocardiogram and Photoplethysmogram
This study suggests that the proposed approach could guide the design of cost-effective, non-invasive methods for continuous respiration monitoring, offering a reliable tool for detecting conditions like stress, anxiety, and sleep disorders.
Authors
- Andrew G. Letizia
- Carlo Ricciardi (ORCID: https://orcid.org/0000-0001-7290-6432)
- Annarita Tedesco (ORCID: https://orcid.org/0000-0001-7242-701X)
- Michela Russo (ORCID: https://orcid.org/0000-0002-5874-6441)
- Vincenza Tufano (ORCID: https://orcid.org/0009-0006-5472-1358)
- Alfonso Maria Ponsiglione (ORCID: https://orcid.org/0000-0003-1346-515X)
- Francesco Amato (ORCID: https://orcid.org/0000-0003-4384-1646)
- Maria Romano (ORCID: https://orcid.org/0000-0003-1133-1115)
- Maria Giovanna Petrellese
Institutions
- Federico II University Hospital (IT)
- Torino e-district (IT)
- Ospedali Riuniti San Giovanni di Dio e Ruggi d'Aragona (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Sensors
- Published
- 2025-08-19
- DOI
- https://doi.org/10.3390/s25165136
- Citations
- 1
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.67