Abstract
An automatic system for the evaluation of pulmonary ventilator drift is proposed. Some statistical indexes commonly utilized in machine diagnostics, such as "Run test for randomness", are briefly described and utilized in drift tests in order to comparatively evaluate their sensitivity. Three ventilators were tested for 20 days by acquiring pressure and flow analog signals by means of an analog-to-digital converter in order to: (1) calculate main respiratory parameters; (2) save data onto magnetic support; and, finally, (3) postprocess the collected data for drift evaluation. The results reported here validate the proposed experimental set-up for objective ventilator performance drift evaluation and show the differing levels of effectiveness of the examined indexes. Therefore, the system can be considered a valuable tool for Clinical Engineering Service (CES) technicians, during maintenance procedures.
| Original language | English |
|---|---|
| Pages (from-to) | 163-170 |
| Number of pages | 8 |
| Journal | Journal of Clinical Engineering |
| Volume | 22 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1997 |
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Keywords
- Drift
- Pulmonary ventilator
- Ventilator
ASJC Scopus subject areas
- Medicine (miscellaneous)
- Biomedical Engineering
Cite this
A novel methodology for the experimental evaluation of pulmonary ventilator performance drift. / Branca, F. P.; Cappa, P.; Sciuto, S. A.; Silvestri, S.
In: Journal of Clinical Engineering, Vol. 22, No. 3, 1997, p. 163-170.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A novel methodology for the experimental evaluation of pulmonary ventilator performance drift
AU - Branca, F. P.
AU - Cappa, P.
AU - Sciuto, S. A.
AU - Silvestri, S.
PY - 1997
Y1 - 1997
N2 - An automatic system for the evaluation of pulmonary ventilator drift is proposed. Some statistical indexes commonly utilized in machine diagnostics, such as "Run test for randomness", are briefly described and utilized in drift tests in order to comparatively evaluate their sensitivity. Three ventilators were tested for 20 days by acquiring pressure and flow analog signals by means of an analog-to-digital converter in order to: (1) calculate main respiratory parameters; (2) save data onto magnetic support; and, finally, (3) postprocess the collected data for drift evaluation. The results reported here validate the proposed experimental set-up for objective ventilator performance drift evaluation and show the differing levels of effectiveness of the examined indexes. Therefore, the system can be considered a valuable tool for Clinical Engineering Service (CES) technicians, during maintenance procedures.
AB - An automatic system for the evaluation of pulmonary ventilator drift is proposed. Some statistical indexes commonly utilized in machine diagnostics, such as "Run test for randomness", are briefly described and utilized in drift tests in order to comparatively evaluate their sensitivity. Three ventilators were tested for 20 days by acquiring pressure and flow analog signals by means of an analog-to-digital converter in order to: (1) calculate main respiratory parameters; (2) save data onto magnetic support; and, finally, (3) postprocess the collected data for drift evaluation. The results reported here validate the proposed experimental set-up for objective ventilator performance drift evaluation and show the differing levels of effectiveness of the examined indexes. Therefore, the system can be considered a valuable tool for Clinical Engineering Service (CES) technicians, during maintenance procedures.
KW - Drift
KW - Pulmonary ventilator
KW - Ventilator
UR - http://www.scopus.com/inward/record.url?scp=0004751198&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0004751198&partnerID=8YFLogxK
U2 - 10.1097/00004669-199705000-00020
DO - 10.1097/00004669-199705000-00020
M3 - Article
AN - SCOPUS:0004751198
VL - 22
SP - 163
EP - 170
JO - Journal of Clinical Engineering
JF - Journal of Clinical Engineering
SN - 0363-8855
IS - 3
ER -