Abstract
The respiratory rate is a vital parameter that can provide valuable information about the health condition of a patient. The extraction of respiratory information from photoplethysmographic signal (PPG) was actually encouraged by the reported results, our main goal being to obtain accurate respiratory rate estimation from the PPG signal. We developed a fusion algorithm that identifies the best derived respiratory signals, from which is possible to extract the respiratory rate; based on these, a global respiratory rate is computed using the proposed fusion algorithm. The algorithm is qualitatively tested on real PPG signals recorded by an acquisition system we implemented, using a reflection pulse oximeter sensor. Its performance is also statistically evaluated using benchmark dataset publically available from CapnoBase.Org.
Original language | English |
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Title of host publication | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 5977-5980 |
Number of pages | 4 |
ISBN (Electronic) | 9781424492718 |
ISBN (Print) | 978-1-4244-9270-1 |
DOIs | |
Publication status | Published - 4 Nov 2015 |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - "MiCo" , Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37 https://www.embs.org/events/37th-annual-international-conference-of-the-ieee-engineering-in-medicine-and-biology-society/ http://embc.embs.org/2015/ |
Conference
Conference | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
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Abbreviated title | EMBC 2015 |
Country/Territory | Italy |
City | Milan |
Period | 25/08/15 → 29/08/15 |
Internet address |
Keywords
- derived respiratory signals
- fusion algorithm
- photoplethysmography
- respiratory rate
- thermistor