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Systolic time interval estimation at the sternum using continuous wave radar with body-contact antennas
Buxi, D.; Redouté, Jean-Michel; Yuce, M. R.
2017In 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017
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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

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