Noncontact Detection and Analysis of Respiratory Function Using Microwave Doppler Radar

Real-time respiratory measurement with Doppler Radar has an important advantage in the monitoring of certain conditions such as sleep apnoea, sudden infant death syndrome (SIDS), and many other general clinical uses requiring fast nonwearable and non-contact measurement of the respiratory function. In this paper, we demonstrate the feasibility of using Doppler Radar in measuring the basic respiratory frequencies (via fast Fourier transform) for four different types of breathing scenarios: normal breathing, rapid breathing, slow inhalation-fast exhalation, and fast inhalation-slow exhalation conducted in a laboratory environment. A high correlation factor was achieved between the Doppler Radar-based measurements and the conventional measurement device, a respiration strap. We also extended this work from basic signal acquisition to extracting detailed features of breathing function (I : E ratio). This facilitated additional insights into breathing activity and is likely to trigger a number of new applications in respiratory medicine.

[1]  Byung-Kwon Park,et al.  Measurement Method for Imbalance Factors in Direct-Conversion Quadrature Radar Systems , 2007, IEEE Microwave and Wireless Components Letters.

[2]  D. S. Holmes,et al.  The utility of prolonged respiratory exhalation for reducing physiological and psychological arousal in non-threatening and threatening situations. , 1984, Journal of psychosomatic research.

[3]  C Guilleminault,et al.  Abnormal breathing patterns during sleep in diabetes , 1985, Annals of neurology.

[4]  Fred L. Bookstein,et al.  On a Form of Piecewise Linear Regression , 1975 .

[5]  M. O'Toole.  Mosby's medical dictionary , 2013 .

[6]  Songcheol Hong,et al.  Two frequency radar sensor for non-contact vital signal monitor , 2008, 2008 IEEE MTT-S International Microwave Symposium Digest.

[7]  H. B. Gibson,et al.  A form of behaviour therapy for some states diagnosed as "affective disorder". , 1978, Behaviour research and therapy.

[8]  Masayuki Ishihara,et al.  A novel autonomic activation measurement method for stress monitoring: non-contact measurement of heart rate variability using a compact microwave radar , 2008, Medical & Biological Engineering & Computing.

[9]  A. Lazaro,et al.  Remote Sensing of Vital Signs Using a Doppler Radar and Diversity to Overcome Null Detection , 2012, IEEE Sensors Journal.

[10]  Masayuki Ishihara,et al.  A non-contact vital sign monitoring system for ambulances using dual-frequency microwave radars , 2008, Medical & Biological Engineering & Computing.

[11]  George W. Stimson,et al.  Introduction to Airborne Radar , 1983 .

[12]  Doru-Petru Munteanu,et al.  Time-frequency analysis in Doppler radar for noncontact cardiopulmonary monitoring , 2011, 2011 E-Health and Bioengineering Conference (EHB).

[13]  I. Lin,et al.  Breathing at a rate of 5.5 breaths per minute with equal inhalation-to-exhalation ratio increases heart rate variability. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[14]  Jon Rigelsford,et al.  Introduction to Airborne Radar, 2nd ed. , 2002 .

[15]  Greg S Martin.  Critical Care Study Guide , 2002, Springer New York.

[16]  Justin R. Boyle,et al.  Automatic Detection of Respiration Rate From Ambulatory Single-Lead ECG , 2009, IEEE Transactions on Information Technology in Biomedicine.

[17]  A.H. Khandoker,et al.  Automatic recognition of obstructive sleep apnoea syndrome using power spectral analysis of electrocardiogram and Hidden Markov Models , 2008, 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[18]  László Hejjel,et al.  Heart rate asymmetry follows the inspiration/expiration ratio in healthy volunteers , 2012, Physiological measurement.

[19]  Michael I. Miga,et al.  Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical Models , 2014, IEEE Journal of Translational Engineering in Health and Medicine.

[20]  Yee Siong Lee,et al.  Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar , 2014, IEEE Journal of Translational Engineering in Health and Medicine.

[21]  K. Nakajima,et al.  Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique. , 1996, Medical engineering & physics.

[22]  Majid Sarrafzadeh,et al.  Robust Doppler radar demodulation via compressed sensing , 2012 .

[23]  Eamonn J. Keogh,et al.  Derivative Dynamic Time Warping , 2001, SDM.

[24]  Miad Faezipour,et al.  Efficient frequency-based classification of respiratory movements , 2012, 2012 IEEE International Conference on Electro/Information Technology.

[25]  P. Grossman.  Respiration, stress, and cardiovascular function. , 1983, Psychophysiology.

[26]  H. Ghafouri-Shiraz,et al.  Vital signs detection using Doppler radar and continuous wavelet Transform , 2011, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP).

[27]  Barbara Aehlert.  Paramedic Practice Today: Above and Beyond , 2013 .

[28]  O. Boric-Lubecke,et al.  Microwave non-invasive sensing of respiratory tidal volume , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[29]  R. Schafer,et al.  What Is a Savitzky-Golay Filter? , 2022 .

[30]  Ronald W. Schafer,et al.  What Is a Savitzky-Golay Filter? [Lecture Notes] , 2011, IEEE Signal Processing Magazine.

[31]  Andrey V. Savkin,et al.  Multitarget Tracking via Space Transformations Using a Single Frequency Continuous Wave Radar , 2012, IEEE Transactions on Signal Processing.

[32]  Philip Chan,et al.  Toward accurate dynamic time warping in linear time and space , 2007, Intell. Data Anal..

[33]  J. Parrillo,et al.  Critical Care Medicine: Principles of Diagnosis and Management in the Adult , 2001 .

[34]  Xinping Huang.  On transmitter gain/phase imbalance compensation at receiver , 2000, IEEE Communications Letters.

[35]  Terry Caelli,et al.  Doppler radar in respiratory monitoring: Detection and analysis , 2013, 2013 International Conference on Control, Automation and Information Sciences (ICCAIS).

[36]  Terry Caelli,et al.  Further applications of Doppler radar for non-contact respiratory assessment , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[37]  D. Samardzija,et al.  Doppler radar sensing of multiple subjects in single and multiple antenna systems , 2005, TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services.

[38]  Branka Jokanovic,et al.  Doppler Radar Architectures and Signal Processing for Heart Rate Extraction , 2009 .