Kisa Menzil Genis Bantli Radar Sistemleri ile Hayati Bulgularin Algilanmasinda Kullanilan Sinyal Isleme Teknikleri

Cansu Eren, Saeid Karamzadeh, Mesut Kartal

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

9 Atıf (Scopus)

Özet

Ambient Assistant Living(AAL) applications gain importance considering the aging population in the world. The aim of this study is the analysis of signal localization techniques that extract frequency rates of human breathing in AAL applications. Ultra-wideband radar system has been used to detect respiratory rate due to its high resolution and non-ionizing energy. Experimental scenarios are performed in three cases, and the human body is expected as speaking and hand-waving during scenes. In this way, the realistic situations are have been mimicked. The spectrum analysis of the measured signals is performed by Fast Fourier Transform (FFT) and Hilbert Huang Transform (HHT). The comparison of these techniques is given. Considering non-linearity and non-stationarity of HHT, it is more effective and provides regional analysis.

Tercüme edilen katkı başlığıSignal Processing Techniques for Human Vital Signs Sensing by Short Range Radar
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781728172064
DOI'lar
Yayın durumuYayınlandı - 5 Eki 2020
Etkinlik28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey
Süre: 5 Eki 20207 Eki 2020

Yayın serisi

Adı2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

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???event.eventtypes.event.conference???28th Signal Processing and Communications Applications Conference, SIU 2020
Ülke/BölgeTurkey
ŞehirGaziantep
Periyot5/10/207/10/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Fast Fourier Trasnform
  • Hilbert Huang Transform
  • UWB radar
  • detection of human vital signs
  • joint time-frequency representation

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