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2023
Journal Article
Title

Estimating Thoracic Movement with High-Sampling Rate THz Technology

Abstract
We use a high-sampling rate terahertz (THz) homodyne spectroscopy system to estimate thoracic movement from healthy subjects performing breathing at different frequencies. The THz system provides both the amplitude and phase of the THz wave. From the raw phase information, a motion signal is estimated. An electrocardiogram (ECG) signal is recorded with a polar chest strap to obtain ECG-derived respiration information. While the ECG showed sub-optimal performance for the purpose and only provided usable information for some subjects, the signal derived from the THz system showed good agreement with the measurement protocol. Over all the subjects, a root mean square estimation error of 1.40 BPM is obtained.
Author(s)
Hoog Antink, Christoph
Schulz, Romina S.
Rohr, Maurice
Wenzel, Konstantin
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Liebermeister, Lars
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Kohlhaas, Robert
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Preu, Sascha
Journal
Sensors. Online journal  
Open Access
DOI
10.3390/s23115233
Additional link
Full text
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Keyword(s)
  • photonic

  • respiratory rate

  • terahertz

  • unobtrusive sensing

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