Intelligent system for detection of breathing disorders

Marcin Szczygieł; Paweł Kielan; Edyta Hetmaniok; Damian Słota; Roman Wituła; Adam Zielonka

doi:10.1007/978-3-319-24770-0_32

Intelligent system for detection of breathing disorders

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Breathing disorders during the sleep are different for the population of adults and for the population of children. Most frequently used method for detection of breathing disorders is the polysomnography. In this method many sensors must be used and, in fact, this method is uncomfortable for the patients. In this paper the Authors propose the intelligent system for detection of breathing disorders based on the sound analysis. Additionally, the applied mathematical methods used in this system are presented. Advantage of the proposed procedure is that it is less invasive for the patients and enables the continuous observation of breathing or its disorders.

Original language	English
Title of host publication	Information and Software Technologies - 21st International Conference, ICIST 2015, Proceedings
Editors	Giedre Dregvaite, Robertas Damasevicius
Publisher	Springer Verlag
Pages	366-375
Number of pages	10
ISBN (Print)	9783319247694
DOIs	https://doi.org/10.1007/978-3-319-24770-0_32
Publication status	Published - 2015
Event	21st International Conference on Information and Software Technologies, ICIST 2015 - Druskininkai, Lithuania Duration: 15 Oct 2015 → 16 Oct 2015

Publication series

Name	Communications in Computer and Information Science
Volume	538
ISSN (Print)	1865-0929

Conference

Conference	21st International Conference on Information and Software Technologies, ICIST 2015
Country/Territory	Lithuania
City	Druskininkai
Period	15/10/15 → 16/10/15

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-319-24770-0_32

Cite this

Szczygieł, M., Kielan, P., Hetmaniok, E., Słota, D., Wituła, R., & Zielonka, A. (2015). Intelligent system for detection of breathing disorders. In G. Dregvaite, & R. Damasevicius (Eds.), Information and Software Technologies - 21st International Conference, ICIST 2015, Proceedings (pp. 366-375). (Communications in Computer and Information Science; Vol. 538). Springer Verlag. https://doi.org/10.1007/978-3-319-24770-0_32

@inproceedings{6a5333adef5f4e1188f7fc0700092c6b,

title = "Intelligent system for detection of breathing disorders",

abstract = "Breathing disorders during the sleep are different for the population of adults and for the population of children. Most frequently used method for detection of breathing disorders is the polysomnography. In this method many sensors must be used and, in fact, this method is uncomfortable for the patients. In this paper the Authors propose the intelligent system for detection of breathing disorders based on the sound analysis. Additionally, the applied mathematical methods used in this system are presented. Advantage of the proposed procedure is that it is less invasive for the patients and enables the continuous observation of breathing or its disorders.",

author = "Marcin Szczygie{\l} and Pawe{\l} Kielan and Edyta Hetmaniok and Damian S{\l}ota and Roman Witu{\l}a and Adam Zielonka",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 21st International Conference on Information and Software Technologies, ICIST 2015 ; Conference date: 15-10-2015 Through 16-10-2015",

year = "2015",

doi = "10.1007/978-3-319-24770-0\_32",

language = "English",

isbn = "9783319247694",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "366--375",

editor = "Giedre Dregvaite and Robertas Damasevicius",

booktitle = "Information and Software Technologies - 21st International Conference, ICIST 2015, Proceedings",

address = "Germany",

}

Szczygieł, M , Kielan, P , Hetmaniok, E , Słota, D , Wituła, R & Zielonka, A 2015, Intelligent system for detection of breathing disorders. in G Dregvaite & R Damasevicius (eds), Information and Software Technologies - 21st International Conference, ICIST 2015, Proceedings. Communications in Computer and Information Science, vol. 538, Springer Verlag, pp. 366-375, 21st International Conference on Information and Software Technologies, ICIST 2015, Druskininkai, Lithuania, 15/10/15. https://doi.org/10.1007/978-3-319-24770-0_32

Intelligent system for detection of breathing disorders. / Szczygieł, Marcin ; Kielan, Paweł ; Hetmaniok, Edyta et al.
Information and Software Technologies - 21st International Conference, ICIST 2015, Proceedings. ed. / Giedre Dregvaite; Robertas Damasevicius. Springer Verlag, 2015. p. 366-375 (Communications in Computer and Information Science; Vol. 538).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent system for detection of breathing disorders

AU - Szczygieł, Marcin

AU - Kielan, Paweł

AU - Hetmaniok, Edyta

AU - Słota, Damian

AU - Wituła, Roman

AU - Zielonka, Adam

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Breathing disorders during the sleep are different for the population of adults and for the population of children. Most frequently used method for detection of breathing disorders is the polysomnography. In this method many sensors must be used and, in fact, this method is uncomfortable for the patients. In this paper the Authors propose the intelligent system for detection of breathing disorders based on the sound analysis. Additionally, the applied mathematical methods used in this system are presented. Advantage of the proposed procedure is that it is less invasive for the patients and enables the continuous observation of breathing or its disorders.

AB - Breathing disorders during the sleep are different for the population of adults and for the population of children. Most frequently used method for detection of breathing disorders is the polysomnography. In this method many sensors must be used and, in fact, this method is uncomfortable for the patients. In this paper the Authors propose the intelligent system for detection of breathing disorders based on the sound analysis. Additionally, the applied mathematical methods used in this system are presented. Advantage of the proposed procedure is that it is less invasive for the patients and enables the continuous observation of breathing or its disorders.

UR - https://www.scopus.com/pages/publications/84951797205

U2 - 10.1007/978-3-319-24770-0_32

DO - 10.1007/978-3-319-24770-0_32

M3 - Conference contribution

AN - SCOPUS:84951797205

SN - 9783319247694

T3 - Communications in Computer and Information Science

SP - 366

EP - 375

BT - Information and Software Technologies - 21st International Conference, ICIST 2015, Proceedings

A2 - Dregvaite, Giedre

A2 - Damasevicius, Robertas

PB - Springer Verlag

T2 - 21st International Conference on Information and Software Technologies, ICIST 2015

Y2 - 15 October 2015 through 16 October 2015

ER -

Szczygieł M , Kielan P , Hetmaniok E , Słota D , Wituła R , Zielonka A. Intelligent system for detection of breathing disorders. In Dregvaite G, Damasevicius R, editors, Information and Software Technologies - 21st International Conference, ICIST 2015, Proceedings. Springer Verlag. 2015. p. 366-375. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-24770-0_32

Intelligent system for detection of breathing disorders

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this