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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zazula, D. Sprager, S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Fac. of EE & CSunobtrusive, Univ. of Maribor, Maribor, Slovenia (Zazula, D.; Sprager, S.) |
| Abstract | This paper reveals a novel approach to recognize respiration events by using an unobtrusive fiber-optic sensor. When the optical fiber is in a direct or indirect contact with human body, it detects weak contributions of vital signs. After a demodulation of fiber-optic signal, breathing can be sorted out by observing variations of heartbeat amplitudes. Introduced into a maximum a posteriori (MAP) estimation, it can locate time instants of inspirations and expirations. Estimates in experiments conducted after submaximal exercise tests in 14 young healthy subjects yield overall sensitivity 94.4±5.62% and overall precision 96.02±2.26% for inspirations. Overall mean absolute error of the inspiration onsets equals 260±143 ms. Similar figures apply to expirations. |
| Sponsorship | IEEE Mauritius Subsect. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 761155 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467359405 |
| ISSN | 21530033 |
| e-ISBN | 9781467359436 |
| DOI | 10.1109/AFRCON.2013.6757750 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-09 |
| Publisher Place | Mauritius |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical fibers Optical fiber sensors Optical interferometry Heart beat Sensitivity Optical fiber networks Monitoring maximum a posteriori probability signal processing statistical estimation unobtrusive human monitoring respiration detection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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