Publication detail

Statistical Methods for Airflow Analysis in a Human Airways Model

FUSEK, M. LÍZAL, F. JEDELSKÝ, J.

English title

Statistical Methods for Airflow Analysis in a Human Airways Model

Type

Paper in proceedings (conference paper)

Language

en

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.

Keywords in English

statistical analysis, kernel regression, tests of randomness, human airways, flow analysis, airflow measurement, irregular sampling, cyclic flow, periodic flow, oscillatory flow

Released

2012-06-30

Publisher

Brno University of Technology

Location

Brno, Czech Republic

ISBN

978-80-214-4540-6

ISSN

1803-3814

Book

MENDEL 2012, 18th International Conference on Soft Computing

Journal

Mendel Journal series

Volume

2012

Pages from–to

445–450

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"
}