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http://dx.doi.org/10.5762/KAIS.2019.20.7.151

Detection of Apnea Signal using UWB Radar based on Short-Time-Fourier-Transform  

Hwang, Chaehwan (Department of Biomedical Engineering, Keimyung University)
Kim, Suyeol (Department of Biomedical Engineering, Keimyung University)
Lee, Deokwoo (Department of Computer Engineering, Keimyung University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.7, 2019 , pp. 151-157 More about this Journal
Abstract
Recently, monitoring respiration of people has been of interest using non-invasive method. Among the vital signals usually used for indicating health status, non-invasive and portable device based monitoring respiratory status is practically useful and enable one to promptly deal with abnormal physical status. This paper proposes the approach to real-time detection of apnea signal based on Short-Time-Fourier-Transform(STFT). Contrary to the analysis of a signal in frequency domain using Fast-Fourier Transform, this paper employs Short-time-Fourier-Transform so that frequency response can be analyzed in short time interval. The respiratory signal is acquired using UWB radar sensor that enables one to obtain respiration signal in contactless way. Detection of respiratory status is carried out by analyzing frequency response, and classification of respiratory status can be provided. In particular, STFT is employed to analyze respiratory signal in real-time, leading to effective analysis of the respiratory status in practice. In the case of existence of noise in the signal, appropriate filtering process is employed as well. The proposed method is straightforward and is workable in practice to analyze the respiratory status of people. To evaluate the proposed method, experimental results are provided.
Keywords
Respiration; Apnea; Short-Time-Fourier-Transform; UWB Radar Sensor; Respiratory Status;
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Times Cited By KSCI : 1  (Citation Analysis)
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