Detail výsledku
Statistical Methods for Airflow Analysis in a Human Airways Model
Lízal František, doc. Ing., Ph.D., EÚ (FSI), EÚ OTTP (FSI)
Jedelský Jan, prof. Ing., Ph.D., EÚ OTTP (FSI), NeTME d. EPE (FSI)
Comparison of irregularly sampled velocity courses represents a problem which is difficult to solve using commercially available statistical software. On that account, novel in-house software CIRDA was developed. In order to compare two samples of data, CIRDA combines usage of kernel regression technique and statistical tests of randomness (tests based on signs of differences, Kendall's rank correlation coefficient test, Spearman's rank correlation coefficient test, turning point test, median test of randomness). The software was applied on velocity data acquired by Phase Doppler Anemometry in a realistic model of human lungs.
statistical analysis, kernel regression, tests of randomness, human airways, flow analysis, airflow measurement, irregular sampling, cyclic flow, periodic flow, oscillatory flow
@inproceedings{BUT93072,
author="Michal {Fusek} and František {Lízal} and Jan {Jedelský}",
title="Statistical Methods for Airflow Analysis in a Human Airways Model",
booktitle="MENDEL 2012, 18th International Conference on Soft Computing",
year="2012",
series="1",
journal="Mendel Journal series",
volume="2012",
number="1",
pages="445--450",
publisher="Brno University of Technology",
address="Brno, Czech Republic",
isbn="978-80-214-4540-6",
issn="1803-3814"
}