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FUSEK, M.; LÍZAL, F.; JEDELSKÝ, J.
Original Title
Statistical Methods for Airflow Analysis in a Human Airways Model
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
statistical analysis, kernel regression, tests of randomness, human airways, flow analysis, airflow measurement, irregular sampling, cyclic flow, periodic flow, oscillatory flow
Key words in English
Authors
RIV year
2013
Released
30.06.2012
Publisher
Brno University of Technology
Location
Brno, Czech Republic
ISBN
978-80-214-4540-6
Book
MENDEL 2012, 18th International Conference on Soft Computing
Edition
1
1803-3814
Periodical
Mendel Journal series
Volume
2012
State
Czech Republic
Pages from
445
Pages to
450
Pages count
6
BibTex
@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" }