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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Rodrigues, G. G. Aguirre, L. A. Cuvelier, A. Muir, J-F Letellier, C. |
| Description | Country affiliation: Brazil Author Affiliation: Rodrigues GG ( Centro Federal de Educação Tecnológica de Minas Gerais Av. Amazonas 7675, 30510-000 Belo Horizonte MG, Brazil. giovani@des.cefetmg.br) |
| Abstract | Noninvasive ventilation is a clinical procedure that enables patients with chronic respiratory failure to reduce the work of breathing and to improve blood oxygenation. In order to attain such goals, the ventilation support is expected to be phase synchronized with the patient spontaneous breathing. Unfortunately, asynchrony events are not rare. In order to provide more effective ventilation schemes, the patient-ventilator interactions should be better understood both during normal rhythm and asynchronism. This paper investigates this problem using data-driven modeling. Hence the estimation of input-output and autonomous models from pressure and airflow time series is discussed and illustrated. Issues concerning the nonlinearity of the interactions and modeling assumptions are dealt with. The results presented include models obtained from airflow and pressure measurements of a set of patients. |
| File Format | HTM / HTML |
| ISSN | 00104825 |
| Issue Number | 5 |
| Volume Number | 41 |
| e-ISSN | 18790534 |
| Journal | Computers in Biology and Medicine |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2011-05-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Biology Discipline Biomedical Informatics Computational Biology Methods Monitoring, Physiologic Ventilators, Mechanical Algorithms Blood Gas Analysis Body Mass Index Cluster Analysis Computer Simulation Computers Female Humans Male Models, Theoretical Normal Distribution Pressure Regression Analysis Software Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Informatics Computer Science Applications |
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