Systolic Time Interval Estimation using Continuous Wave Radar with On-body Antennas

Dilpreet Buxi, Evelien Hermeling, Marco Mercuri, Fabian Beutel, Roberto Garcia van der Westen, Tom Torfs, Jean Michel Redouté, Mehmet Rasit Yuce

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The estimation of systolic time interval (STI)s is done using continuous wave (CW) radar at 2.45GHz with an on-body antenna. Motivation: In the state of the art, typically bioimpedance, heart sounds and / or ultrasound is used to measure STIs. All three methods suffer from insufficient accuracy of STI estimation due to various reasons. CW radar is investigated for its ability to overcome the deficiencies in the state of the art. Methods: Ten healthy male subjects aged 25-45 were asked to lie down at a 30 degree incline. 60 second recordings were taken without breathing and with paced breathing. Heart Sounds, Electrocardiogram, respiration and Impedance cardiogram were measured simultaneously as reference. The radar antennas were placed at three positions on the chest. The antennas were placed directly on the body as well as with cotton textile in-between. The beat to beat STIs have been determined from the reference signals as well as CW radar signals. Results: The results indicate that CW radar can be used to estimate STIs in ambulatory monitoring. Significance: The results can be used for a potentially more compact method of estimating STIs in an ambulatory setting, which can be integrated into a wearable device.

Original languageEnglish
Pages (from-to)129-139
Number of pages11
JournalIEEE Journal of Biomedical and Health Informatics
Volume22
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

Keywords

  • Antenna measurements
  • bi-static radar
  • bioimpedance
  • Biomedical measurement
  • doppler radar
  • Electrocardiography
  • Heart
  • left ventricular ejection time
  • pre-ejection period
  • Radar
  • Radar antennas
  • Receiving antennas
  • systolic time intervals

Cite this

Buxi, Dilpreet ; Hermeling, Evelien ; Mercuri, Marco ; Beutel, Fabian ; van der Westen, Roberto Garcia ; Torfs, Tom ; Redouté, Jean Michel ; Yuce, Mehmet Rasit. / Systolic Time Interval Estimation using Continuous Wave Radar with On-body Antennas. In: IEEE Journal of Biomedical and Health Informatics. 2018 ; Vol. 22, No. 1. pp. 129-139.
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abstract = "The estimation of systolic time interval (STI)s is done using continuous wave (CW) radar at 2.45GHz with an on-body antenna. Motivation: In the state of the art, typically bioimpedance, heart sounds and / or ultrasound is used to measure STIs. All three methods suffer from insufficient accuracy of STI estimation due to various reasons. CW radar is investigated for its ability to overcome the deficiencies in the state of the art. Methods: Ten healthy male subjects aged 25-45 were asked to lie down at a 30 degree incline. 60 second recordings were taken without breathing and with paced breathing. Heart Sounds, Electrocardiogram, respiration and Impedance cardiogram were measured simultaneously as reference. The radar antennas were placed at three positions on the chest. The antennas were placed directly on the body as well as with cotton textile in-between. The beat to beat STIs have been determined from the reference signals as well as CW radar signals. Results: The results indicate that CW radar can be used to estimate STIs in ambulatory monitoring. Significance: The results can be used for a potentially more compact method of estimating STIs in an ambulatory setting, which can be integrated into a wearable device.",
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Buxi, D, Hermeling, E, Mercuri, M, Beutel, F, van der Westen, RG, Torfs, T, Redouté, JM & Yuce, MR 2018, 'Systolic Time Interval Estimation using Continuous Wave Radar with On-body Antennas' IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 1, pp. 129-139. https://doi.org/10.1109/JBHI.2017.2731790

Systolic Time Interval Estimation using Continuous Wave Radar with On-body Antennas. / Buxi, Dilpreet; Hermeling, Evelien; Mercuri, Marco; Beutel, Fabian; van der Westen, Roberto Garcia; Torfs, Tom; Redouté, Jean Michel; Yuce, Mehmet Rasit.

In: IEEE Journal of Biomedical and Health Informatics, Vol. 22, No. 1, 01.01.2018, p. 129-139.

Research output: Contribution to journalArticleResearchpeer-review

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