MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals

Year 2018, Volume: 18 Issue: 2, 300 - 309, 03.08.2018

Can Uysal Tansu Filik

Abstract

DOI: 10.26650/electrica.2018.03405

Continuous monitoring of respiratory rate (cycle) during sleep for diseases such as sleep apnea and sudden infant death syndrome (SIDS) can be lifesaving. Wireless radio communications signals are everywhere and can be harnessed for contactless monitoring of the respiratory rates. The amplitude of the received signal strength changes periodically depending on the exhalation and inhalation of the subject. In this paper, subspace-based multiple signal classification (MUSIC) algorithm is applied to estimate the respiratory rate for better results. The proposed method and the other power spectral density (PSD) methods for respiratory estimations are compared with the real laboratory measurements. It is demonstrated that the proposed method estimates the respiratory rate with high accuracy and outperforms the other PSD-based methods which are commonly used in the literature.

Keywords

MUSIC, contactless, respiratory rate, wireless signals, software defined radios

MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals

Abstract

DOI: 10.26650/electrica.2018.03405

Continuous monitoring of respiratory rate
(cycle) during sleep for diseases such as sleep apnea and sudden infant death
syndrome (SIDS) can be lifesaving. Wireless radio communications signals are
everywhere and can be harnessed for contactless monitoring of the respiratory
rates. The amplitude of the received signal strength changes periodically
depending on the exhalation and inhalation of the subject. In this paper,
subspace-based multiple signal classification (MUSIC) algorithm is applied to
estimate the respiratory rate for better results. The proposed method and the
other power spectral density (PSD) methods for respiratory estimations are
compared with the real laboratory measurements. It is demonstrated that the
proposed method estimates the respiratory rate with high accuracy and
outperforms the other PSD-based methods which are commonly used in the
literature.

Keywords

MUSIC, contactless, respiratory rate, wireless signals, software defined radios

References

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