Estimating Thoracic Movement with High-Sampling Rate THz Technology

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 estimat...

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Autores principales: Hoog Antink, Christoph, Schulz, Romina, Rohr, Maurice, Wenzel, Konstantin, Liebermeister, Lars, Kohlhaas, Robert, Preu, Sascha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256075/
https://www.ncbi.nlm.nih.gov/pubmed/37299961
http://dx.doi.org/10.3390/s23115233
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author Hoog Antink, Christoph
Schulz, Romina
Rohr, Maurice
Wenzel, Konstantin
Liebermeister, Lars
Kohlhaas, Robert
Preu, Sascha
author_facet Hoog Antink, Christoph
Schulz, Romina
Rohr, Maurice
Wenzel, Konstantin
Liebermeister, Lars
Kohlhaas, Robert
Preu, Sascha
author_sort Hoog Antink, Christoph
collection PubMed
description 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.
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spelling pubmed-102560752023-06-10 Estimating Thoracic Movement with High-Sampling Rate THz Technology Hoog Antink, Christoph Schulz, Romina Rohr, Maurice Wenzel, Konstantin Liebermeister, Lars Kohlhaas, Robert Preu, Sascha Sensors (Basel) Communication 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. MDPI 2023-05-31 /pmc/articles/PMC10256075/ /pubmed/37299961 http://dx.doi.org/10.3390/s23115233 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Hoog Antink, Christoph
Schulz, Romina
Rohr, Maurice
Wenzel, Konstantin
Liebermeister, Lars
Kohlhaas, Robert
Preu, Sascha
Estimating Thoracic Movement with High-Sampling Rate THz Technology
title Estimating Thoracic Movement with High-Sampling Rate THz Technology
title_full Estimating Thoracic Movement with High-Sampling Rate THz Technology
title_fullStr Estimating Thoracic Movement with High-Sampling Rate THz Technology
title_full_unstemmed Estimating Thoracic Movement with High-Sampling Rate THz Technology
title_short Estimating Thoracic Movement with High-Sampling Rate THz Technology
title_sort estimating thoracic movement with high-sampling rate thz technology
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256075/
https://www.ncbi.nlm.nih.gov/pubmed/37299961
http://dx.doi.org/10.3390/s23115233
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