Name
Title | ||
|---|---|---|
A new approach to modeling of selected human respiratory system diseases, directed to computer simulations. |
Abstract | ||
|---|---|---|
This paper presents a new versatile approach to model severe human respiratory diseases via computer simulation. The proposed approach enables one to predict the time histories of various diseases via information accessible in medical publications. This knowledge is useful to bioengineers involved in the design and construction of medical devices that are employed for monitoring of respiratory condition. The approach provides the data that are crucial for testing diagnostic systems. This can be achieved without the necessity of probing the physiological details of the respiratory system as well as without identification of parameters that are based on measurement data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.compbiomed.2013.07.003 | Comp. in Bio. and Med. |
Keywords | Field | DocType |
respiratory system,respiratory condition,Obstructive,medical publication,Model,medical device,Respiratory system,severe human respiratory disease,new versatile approach,Restrictive,diagnostic system,Diseases,measurement data,computer simulation,new approach,selected human respiratory system | Computer vision,Computer science,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
43 | 10 | 1879-0534 |
Citations | PageRank | References |
2 | 0.52 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Grzegorz Redlarski | 1 | 13 | 3.34 |
| Jacek Jaworski | 2 | 2 | 0.52 |