Spirometry 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, “hardware”, gains a sampled signal from a sensor of the flow-time curve and sends it to the computer. The second part, “software”, 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, “a genetic algorithm”, 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.
Breath Flow Sensing via Spirometric Instrumentation: Pathology Prediction Using a Genetic Algorithm
LAY EKUAKILLE, Aime;
2008-01-01
Abstract
Spirometry 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, “hardware”, gains a sampled signal from a sensor of the flow-time curve and sends it to the computer. The second part, “software”, 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, “a genetic algorithm”, 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
