Abstract

Spirometry deals with finding and predicting respiratory system pathologies through instrumentation that mainly carries out measurements on the volume and the air flow expired from lungs. In many cases, during spirometric and pneumotachographic trials in hospital, there are people who are not able to begin or to complete their tests because of diverse difficulties due to presumable pathologies. Hence, these trials may be lost if they are not recovered and post-processed in adequately, at least to display the expiration trend and step. This work presents rapid techniques of helping physiopathologists to extract information from a non-complete expiration curve as spirometric post-processing. The two techniques are based on WOB (Work Of Breath) and CGA (Controlled Genetic Algorithm) respectively. A comparison is performed between the two techniques; the WOB is calculated by assuming classes of fixed resistance R according to the age, to the sex, to the previous pathologies, etc. while the CGA technique provides a strict monitoring of GA steps in order to reduce uncertainty of final results.

Autore Pugliese

• Lay Ekuakille Aime

Tutti gli autori

• A. LAY EKUAKILLE , G. VENDRAMIN , A. TROTTA

Titolo volume/Rivista

IEEE SENSORS JOURNAL

Anno di pubblicazione

2010

ISSN

1530-437X

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

19

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile