Classification of Respiratory States Based on Signal Analysis in Z-Domain 


Vol. 45,  No. 12, pp. 2161-2168, Dec.  2020
10.7840/kics.2020.45.12.2161


PDF
  Abstract

This paper focuses on classifying respiratory states of humans. Breathing signals have been considered one of the most important indicators of human health. More and more people have been sleeping in apnea these days, leading to performing studies about respiratory states of human, classification of breathing signals. In this paper, we propose the approach for a classification of respiratory signal in Z-domain. Given a known respiratory state, our method can determine the state of the next person. Distribution of locations of zeros and poles in Z-domain provide information about respiratory state of the current person given the state of the previous person. The proposed method is simple to apply to the actual environment and acquisition of respiration using UWB(ultra wide band) radar sensor is simple to be manipulated. The proposed method shows that binary classification, normal and abnormal respiration, can be reasonably achieved.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. O. Kim and D. Lee, "Classification of Respiratory States Based on Signal Analysis in Z-Domain," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 12, pp. 2161-2168, 2020. DOI: 10.7840/kics.2020.45.12.2161.

[ACM Style]

Ju O Kim and Deokwoo Lee. 2020. Classification of Respiratory States Based on Signal Analysis in Z-Domain. The Journal of Korean Institute of Communications and Information Sciences, 45, 12, (2020), 2161-2168. DOI: 10.7840/kics.2020.45.12.2161.

[KICS Style]

Ju O Kim and Deokwoo Lee, "Classification of Respiratory States Based on Signal Analysis in Z-Domain," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 12, pp. 2161-2168, 12. 2020. (https://doi.org/10.7840/kics.2020.45.12.2161)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880