MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals

Can UYSAL; Tansu FİLİK

Makale detayları

MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals

Yazarlar:

Can UYSAL | Tansu FİLİK

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Electrica 2018 Vol.18 Issue 2, pp.300-309

Belge Tipi:

Makale

Yayın Tarihi:

8/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000777647

Sıklık:

İki Yıllık

eISSN:

2619-9831

Anahtar kelimeler:

Özet:

 


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.

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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.


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Makale detayları

MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals

Yazarlar:

Can UYSAL | Tansu FİLİK

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Electrica 2018 Vol.18 Issue 2, pp.300-309

Belge Tipi:

Makale

Yayın Tarihi:

8/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000777647

Sıklık:

İki Yıllık

eISSN:

2619-9831

MUSIC

contactless

respiratory rate

wireless signals

software defined radios

Sayı

Makale detayları

MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals

Yazarlar: Can UYSAL | Tansu FİLİK

Yayıncı: İstanbul University-Cerrahpasa

Ana Başlıklar: Uygulamalı fizik

Dergi: Electrica 2018 Vol.18 Issue 2, pp.300-309

Belge Tipi: Makale

Yayın Tarihi: 8/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000777647

Sıklık: İki Yıllık

eISSN: 2619-9831

MUSIC

contactless

respiratory rate

wireless signals

software defined radios

Sayı

Yazarlar:

Can UYSAL | Tansu FİLİK

Yayıncı:

İstanbul University-Cerrahpasa

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Electrica 2018 Vol.18 Issue 2, pp.300-309

Belge Tipi:

Makale

Yayın Tarihi:

8/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000777647

Sıklık:

İki Yıllık

eISSN:

2619-9831