Systolic time interval estimation at the sternum using continuous wave radar with body-contact antennas

Buxi, D.; Redouté, Jean-Michel; Yuce, M. R.

doi:10.1109/BSN.2017.7936014

Request a copy

Paper published in a book (Scientific congresses and symposiums)

Systolic time interval estimation at the sternum using continuous wave radar with body-contact antennas

Buxi, D.; Redouté, Jean-Michel; Yuce, M. R.

2017 • In 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017

Peer reviewed

Permalink
https://hdl.handle.net/2268/236426

DOI
10.1109/BSN.2017.7936014

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

2017 - Systolic time interval estimation at the sternum using continuous wave radar with body-contact antennas.pdf

Publisher postprint (1.01 MB)

Request a copy

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Antennas; Body sensor networks; Continuous wave radar; Electrocardiography; Microwave antennas; Radar; Radar antennas; Wearable antennas; Wearable sensors; Wearable technology; Body contacts; Breathing condition; Correlation coefficient; Heart sounds; Left ventricular; Radar signals; Reference signals; Time interval; Radar measurement

Abstract :

[en] Cardiovascular vital signs are measured using continuous wave (CW) radar at 2.45GHz with a body-contact antenna. Using a previously collected database of thirty second recordings at paced breathing conditions, CW radar signals were measured together with heart sounds, electrocardiogram (ECG), respiration and impedance cardiogram (ICG) were as reference signals. Using arbitrarily chosen features from the radar signal, the systolic time intervals (STI)s from radar are compared with those from the ICG. The correlation coefficients between the STIs of radar and ICG were 0.72, 0.66 and 0.81 for the pre-ejection period, left ventricular ejection time and electromechanical systole respectively. The p-value was below 0.0001 for all coefficients, indicating a significant correlation. The results indicate that the radar signals capture cardiomechanical signals, which have great potential to be used for STI estimation in ambulatory conditions. © 2017 IEEE.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Buxi, D.; Monash University, Melbourne, Australia

Redouté, Jean-Michel ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes microélectroniques intégrés

Yuce, M. R.; Monash University, Melbourne, Australia

Language :

English

Title :

Systolic time interval estimation at the sternum using continuous wave radar with body-contact antennas

Publication date :

2017

Event name :

14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017

Event date :

9 May 2017 through 12 May 2017

Audience :

International

Main work title :

2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Pages :

87-90

Peer reviewed :

Peer reviewed

Funders :

IEEE EMBS

Commentary :

128171 9781509062447

Available on ORBi :

since 07 June 2019

Statistics

Number of views

37 (2 by ULiège)

Number of downloads

1 (1 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

C. Li et al., "A review on recent advances in doppler radar sensors for noncontact healthcare monitoring, " IEEE Trans on Mic Theory & Tech, vol. 61, no. 5, pp. 2046-2060, 2013.
J. Muehlsteff et al., "The use of a two channel doppler radar sensor for the detection of heart motion phases, " in Conf Proc IEEE Eng Med Biol Soc, 2006, pp. 547-550.
Y. J. An et al., "Sensitivity enhanced vital sign detection based on antenna reflection coefficient variation, " IEEE Trans Biomed Circuits Syst, vol. 10, no. 2, pp. 319-27, 2016.
O. Aardal et al., "Detecting changes in the human heartbeat with onbody radar, " in Radar Conference (RADAR), 2013 IEEE, 2013, pp. 1-6.
R. Lewis et al., "A critical review of the systolic time intervals, " Circulation, vol. 56, no. 2, pp. 146-158, 1977.
D. Buxi et al., "A survey on signals and systems in ambulatory blood pressure monitoring using pulse transit time, " Physiological Measurement, vol. 36, no. 3, pp. R1-R26, 2015.
R. Mukkamala et al., "Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice, " IEEE Trans Biomed Eng, vol. 62, no. 8, pp. 1879-901, 2015.
R. P. Paiva et al., "Beat-To-beat systolic time-interval measurement from heart sounds and ecg, " Physiol Meas, vol. 33, no. 2, pp. 177-94, 2012.
O. T. Inan et al., "Ballistocardiography and seismocardiography: A review of recent advances, " IEEE J Biomed Health Inform, vol. 19, no. 4, pp. 1414-27, 2015.
C. Kim et al., "Ballistocardiogram: Mechanism and potential for unobtrusive cardiovascular health monitoring, " Nature Scientific Reports, vol. 6, p. 31297, 2016.
A. K. Abbas and R. Bassam, "Phonocardiography signal processing, " Synthesis Lectures on Biomedical Engineering, vol. 4, no. 1, pp. 1-194, 2009.
P. Carvalho et al., "Comparison of systolic time interval measurement modalities for portable devices, " in 32nd Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, 2010, pp. 606-609.
D. Buxi et al., "Systolic time interval estimation using continuous wave radar with on-body antennas, " IEEE J. Biom. & Health Inf., vol. submitted for review, 2016.
K. Tavakolian, "Systolic time intervals and new measurement methods, " Cardiovasc Eng Technol, vol. 7, no. 2, pp. 118-125, 2016.
A. Guyton and J. Hall, Textbook of Medical Physiology, 11th ed. Philadelphia, Pennsylvania: Elsevier Saunders, 2006.
A. M. Weissler et al., "Systolic time intervals in heart failure in man, " Circulation, vol. 37, no. 2, pp. 149-159, 1968.
I. Bahl et al., "Design of microstrip antennas covered with a dielectric layer, " IEEE Trans on Ant & Prop, vol. 30, no. 2, pp. 314-318, 1982.
M. Zakrzewski, "Methods for doppler radar monitoring of physiological signals, " Ph.D. dissertation, Tampere University of Technology, 2015.
I. Romero et al., "Robust beat detector for ambulatory cardiac monitoring, " in Conf Proc IEEE Eng Med Biol Soc, 2009, pp. 950-3.
G. Cybulski et al., "Stroke volume and systolic time intervals: Beat-To-beat comparison between echocardiography and ambulatory impedance cardiography in supine and tilted positions, " Medical & Biological Engineering & Computing, vol. 42, no. 5, pp. 707-711, 2004.
R. vanLien et al., "Estimated preejection period (pep) based on the detection of the r-wave and dz/dt-min peaks does not adequately reflect the actual pep across a wide range of laboratory and ambulatory conditions, " Int J Psychophysiol, vol. 87, no. 1, pp. 60-9, 2013.
K. D. Reesink et al., "Carotid artery pulse wave time characteristics to quantify ventriculoarterial responses to orthostatic challenge, " J Appl Physiol (1985), vol. 102, no. 6, pp. 2128-34, 2007.