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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/11/5233 |
| _version_ | 1797596723812499456 |
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| author | Christoph Hoog Antink Romina Schulz Maurice Rohr Konstantin Wenzel Lars Liebermeister Robert Kohlhaas Sascha Preu |
| author_facet | Christoph Hoog Antink Romina Schulz Maurice Rohr Konstantin Wenzel Lars Liebermeister Robert Kohlhaas Sascha Preu |
| author_sort | Christoph Hoog Antink |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T02:57:05Z |
| format | Article |
| id | doaj.art-cbcacfb209104470aa774af7c163f287 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T02:57:05Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cbcacfb209104470aa774af7c163f2872023-11-18T08:34:23ZengMDPI AGSensors1424-82202023-05-012311523310.3390/s23115233Estimating Thoracic Movement with High-Sampling Rate THz TechnologyChristoph Hoog Antink0Romina Schulz1Maurice Rohr2Konstantin Wenzel3Lars Liebermeister4Robert Kohlhaas5Sascha Preu6KIS*MED (AI Systems in Medicine Lab), Technische Universität Darmstadt, 64283 Darmstadt, GermanyTerahertz Devices and Systems, Technische Universität Darmstadt, 64283 Darmstadt, GermanyKIS*MED (AI Systems in Medicine Lab), Technische Universität Darmstadt, 64283 Darmstadt, GermanyFraunhofer Institute for Telecommunications, Heinrich Hertz Institute, 10587 Berlin, GermanyFraunhofer Institute for Telecommunications, Heinrich Hertz Institute, 10587 Berlin, GermanyFraunhofer Institute for Telecommunications, Heinrich Hertz Institute, 10587 Berlin, GermanyTerahertz Devices and Systems, Technische Universität Darmstadt, 64283 Darmstadt, GermanyWe 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.https://www.mdpi.com/1424-8220/23/11/5233unobtrusive sensingterahertzphotonicrespiratory rate |
| spellingShingle | Christoph Hoog Antink Romina Schulz Maurice Rohr Konstantin Wenzel Lars Liebermeister Robert Kohlhaas Sascha Preu Estimating Thoracic Movement with High-Sampling Rate THz Technology Sensors unobtrusive sensing terahertz photonic respiratory rate |
| 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 | unobtrusive sensing terahertz photonic respiratory rate |
| url | https://www.mdpi.com/1424-8220/23/11/5233 |
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