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


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  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.

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  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)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880