| Autor: |
Shouldice RB; BiancaMed, NovaUCD, University College Dublin, 4, Ireland. redmond.shouldice@biancamed.com, Heneghan C, Petres G, Zaffaroni A, Boyle P, McNicholas W, de Chazal P |
| Jazyk: |
angličtina |
| Zdroj: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2010; Vol. 2010, pp. 630-3. |
| DOI: |
10.1109/IEMBS.2010.5627275 |
| Abstrakt: |
An automated real time method for detecting human breathing rate from a non contact biosensor is considered in this paper. The method has low computational and RAM requirements making it well-suited to real-time, low power implementation on a microcontroller. Time and frequency domain methods are used to separate a 15s block of data into movement, breathing or absent states; a breathing rate estimate is then calculated. On a 1s basis, 96% of breaths were scored within 1 breath per minute of expert scored respiratory inductance plethysmography, while 99% of breaths were scored within 2 breaths per minute. When averaged over 30s, as is used in this respiration monitoring system, over 99% of breaths are within 1 breath per minute of the expert score. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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