Accurate Doppler Radar-Based Cardiopulmonary Sensing Using Chest-Wall Acceleration

Mehrdad Nosrati, Negar Tavassolian

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents the theory and experimental results of a new method to significantly increase the detection accuracy of the human heartbeat rate using a continuous-wave Doppler radar. Traditionally, it is assumed that the chest wall displacement signal, which is recorded by the radar and used for heartbeat rate estimation, is a pure sine wave. In this paper, we use the fact that the displacement signal is a complex Gaussian function rather than a pure sine wave. This function shows a declining amplitude versus frequency; therefore, the heartbeat signal will be much weaker than the respiration signal and can be easily buried in the respiration's harmonics. However, by exploiting the chest wall acceleration instead of its displacement, the heartbeat signal is greatly amplified, leading to a significantly higher heartbeat rate detection accuracy. Recorded data from 12 healthy human subjects show an average heartbeat rate detection accuracy of more than 95% when compared with reference electrocardiogram recordings. The proposed technique is robust, simple, and requires minimum calculation resources which are important for online monitoring and power consumption reduction. Measurement results indicate its potential for being used in reliable non-contact heartbeat rate monitoring systems.

Original languageEnglish (US)
Article number8520794
Pages (from-to)41-47
Number of pages7
JournalIEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Volume3
Issue number1
DOIs
StatePublished - Mar 1 2019

Fingerprint

Doppler radar
Continuous wave radar
Monitoring
Electrocardiography
Radar
Electric power utilization

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Radiation
  • Radiology Nuclear Medicine and imaging

Cite this

@article{52234ccde4784bde941cb85ef6ee25d0,
title = "Accurate Doppler Radar-Based Cardiopulmonary Sensing Using Chest-Wall Acceleration",
abstract = "This paper presents the theory and experimental results of a new method to significantly increase the detection accuracy of the human heartbeat rate using a continuous-wave Doppler radar. Traditionally, it is assumed that the chest wall displacement signal, which is recorded by the radar and used for heartbeat rate estimation, is a pure sine wave. In this paper, we use the fact that the displacement signal is a complex Gaussian function rather than a pure sine wave. This function shows a declining amplitude versus frequency; therefore, the heartbeat signal will be much weaker than the respiration signal and can be easily buried in the respiration's harmonics. However, by exploiting the chest wall acceleration instead of its displacement, the heartbeat signal is greatly amplified, leading to a significantly higher heartbeat rate detection accuracy. Recorded data from 12 healthy human subjects show an average heartbeat rate detection accuracy of more than 95{\%} when compared with reference electrocardiogram recordings. The proposed technique is robust, simple, and requires minimum calculation resources which are important for online monitoring and power consumption reduction. Measurement results indicate its potential for being used in reliable non-contact heartbeat rate monitoring systems.",
author = "Mehrdad Nosrati and Negar Tavassolian",
year = "2019",
month = "3",
day = "1",
doi = "https://doi.org/10.1109/JERM.2018.2879452",
language = "English (US)",
volume = "3",
pages = "41--47",
journal = "IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology",
issn = "2469-7249",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

Accurate Doppler Radar-Based Cardiopulmonary Sensing Using Chest-Wall Acceleration. / Nosrati, Mehrdad; Tavassolian, Negar.

In: IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, Vol. 3, No. 1, 8520794, 01.03.2019, p. 41-47.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Accurate Doppler Radar-Based Cardiopulmonary Sensing Using Chest-Wall Acceleration

AU - Nosrati, Mehrdad

AU - Tavassolian, Negar

PY - 2019/3/1

Y1 - 2019/3/1

N2 - This paper presents the theory and experimental results of a new method to significantly increase the detection accuracy of the human heartbeat rate using a continuous-wave Doppler radar. Traditionally, it is assumed that the chest wall displacement signal, which is recorded by the radar and used for heartbeat rate estimation, is a pure sine wave. In this paper, we use the fact that the displacement signal is a complex Gaussian function rather than a pure sine wave. This function shows a declining amplitude versus frequency; therefore, the heartbeat signal will be much weaker than the respiration signal and can be easily buried in the respiration's harmonics. However, by exploiting the chest wall acceleration instead of its displacement, the heartbeat signal is greatly amplified, leading to a significantly higher heartbeat rate detection accuracy. Recorded data from 12 healthy human subjects show an average heartbeat rate detection accuracy of more than 95% when compared with reference electrocardiogram recordings. The proposed technique is robust, simple, and requires minimum calculation resources which are important for online monitoring and power consumption reduction. Measurement results indicate its potential for being used in reliable non-contact heartbeat rate monitoring systems.

AB - This paper presents the theory and experimental results of a new method to significantly increase the detection accuracy of the human heartbeat rate using a continuous-wave Doppler radar. Traditionally, it is assumed that the chest wall displacement signal, which is recorded by the radar and used for heartbeat rate estimation, is a pure sine wave. In this paper, we use the fact that the displacement signal is a complex Gaussian function rather than a pure sine wave. This function shows a declining amplitude versus frequency; therefore, the heartbeat signal will be much weaker than the respiration signal and can be easily buried in the respiration's harmonics. However, by exploiting the chest wall acceleration instead of its displacement, the heartbeat signal is greatly amplified, leading to a significantly higher heartbeat rate detection accuracy. Recorded data from 12 healthy human subjects show an average heartbeat rate detection accuracy of more than 95% when compared with reference electrocardiogram recordings. The proposed technique is robust, simple, and requires minimum calculation resources which are important for online monitoring and power consumption reduction. Measurement results indicate its potential for being used in reliable non-contact heartbeat rate monitoring systems.

UR - http://www.scopus.com/inward/record.url?scp=85063815763&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063815763&partnerID=8YFLogxK

U2 - https://doi.org/10.1109/JERM.2018.2879452

DO - https://doi.org/10.1109/JERM.2018.2879452

M3 - Article

VL - 3

SP - 41

EP - 47

JO - IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

JF - IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

SN - 2469-7249

IS - 1

M1 - 8520794

ER -