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EnglishSpirometry takes care to find and to predict respiratory system pathologies through instrumentation that mainly carries out measurements on the volume and the air flow expired from lungs. A complete spirometric instrumentation composed of three parts has been developed. The first part, ldquohardwarerdquo, gains a sampled signal from a sensor of the flow-time curve and sends it to the computer. The second part, ldquosoftwarerdquo, processes received data calculating the volume-time curve, the flow-volume curve and other main spirometric parameters, displaying the result of prediction. The last part, ldquoa genetic algorithmrdquo, trains itself on the base of a series of computing with real data, to produce spirometric parameters of a most likely pathologic curve and, to predict pathology type with less possible tests
| Autori: | ||
| Titolo: | Breath Flow Sensing via Spirometric Instrumentation: Pathology Prediction Using a Genetic Algorithm | |
| Data di pubblicazione: | 2008 | |
| Nome del convegno: | The 3rd IEEE-ICST International Conference on Sensing Technology | |
| ISBN: | 978-1-4244-2176-3 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/ICSENST.2008.4757120 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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