Sleep Posture Recognition With a Dual-Frequency Cardiopulmonary Doppler Radar

While Doppler radar can be used to measure cardiopulmonary vital signs during sleep, meaningful diagnostic assessments are often subject to knowledge of a subject’s changing sleep posture. The torso Effective Radar Cross Section (ERCS) and displacement magnitude were studied for 20 human subjects in three imitated sleep posture categories using a dual-frequency Doppler radar system in an exploratory examination of the feasibility of using radar to recognize body orientation. Box plot statistical analyses were performed for comparative assessment of ratio variations in ERCS and respiration depth for three different imitated sleep postures. The observed statistical trends and correlations were applied to a physical model to develop posture decision algorithms with initial supine posture data used as a reference. A single-frequency algorithm tracked postures without error for 90% of the subjects using 2.4 GHz data, and 80% using 5.8 GHz data. As accuracy limitations were complementary, a dual-frequency algorithm was developed which recognized postures without error for 100% of the subjects.

[1]  Changzhi Li,et al.  Random Body Movement Cancellation in Doppler Radar Vital Sign Detection , 2008, IEEE Transactions on Microwave Theory and Techniques.

[2]  Adel Al-Jumaily,et al.  Doppler Radar-Based Non-Contact Health Monitoring for Obstructive Sleep Apnea Diagnosis: A Comprehensive Review , 2019, Big Data Cogn. Comput..

[3]  Yu Hu,et al.  On-bed sleep posture recognition based on body-earth mover's distance , 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

[4]  C. Kalkman,et al.  Wireless non-invasive continuous respiratory monitoring with FMCW radar: a clinical validation study , 2015, Journal of Clinical Monitoring and Computing.

[5]  Victor M. Lubecke,et al.  Non-Contact Vital Signs Monitoring for Multiple Subjects Using a Millimeter Wave FMCW Automotive Radar , 2020, 2020 IEEE/MTT-S International Microwave Symposium (IMS).

[6]  Shwetak N. Patel,et al.  DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar , 2015, UbiComp.

[7]  S. Pallesen,et al.  Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®). , 2020, Sleep medicine.

[8]  Changzhi Li,et al.  A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Monitoring , 2013, IEEE Transactions on Microwave Theory and Techniques.

[9]  A. Oksenberg,et al.  Avoiding the supine posture during sleep for patients with mild obstructive sleep apnea. , 2009, American journal of respiratory and critical care medicine.

[10]  Antti Vehkaoja,et al.  Noncontact Respiration Monitoring During Sleep With Microwave Doppler Radar , 2015, IEEE Sensors Journal.

[11]  Olga Boric-Lubecke,et al.  Pulse pressure monitoring through non-contact cardiac motion detection using 2.45 GHz microwave Doppler radar , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  R. Stafford,et al.  Principles and Practice of Sleep Medicine , 2001 .

[13]  Digna M. González-Otero,et al.  Feedback on the Rate and Depth of Chest Compressions during Cardiopulmonary Resuscitation Using Only Accelerometers , 2016, PloS one.

[14]  Vinh Phuc Tran,et al.  Non-contact Doppler radar based prediction of nocturnal body orientations using deep neural network for chronic heart failure patients , 2017, 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA).

[15]  A. Wellman,et al.  Effect of Sleeping Position on Upper Airway Patency in Obstructive Sleep Apnea Is Determined by the Pharyngeal Structure Causing Collapse , 2017, Sleep.

[16]  Changzhan Gu,et al.  A Hybrid Radar-Camera Sensing System With Phase Compensation for Random Body Movement Cancellation in Doppler Vital Sign Detection , 2013, IEEE Transactions on Microwave Theory and Techniques.

[17]  O. Boric-Lubecke,et al.  Dual-Frequency Technique for Assessment of Cardiopulmonary Effective RCS and Displacement , 2012, IEEE Sensors Journal.

[18]  Changzhan Gu,et al.  DC coupled CW radar sensor using fine-tuning adaptive feedback loop , 2012 .

[19]  G. Benchetrit.  Breathing pattern in humans: diversity and individuality. , 2000, Respiration physiology.

[20]  Byung-Kwon Park,et al.  Center Tracking Quadrature Demodulation for a Doppler Radar Motion Detector , 2007, 2007 IEEE/MTT-S International Microwave Symposium.

[21]  John Elias Kiriazi.  Human cardiopulmonary recognition using close-range Doppler radar , 2010 .

[22]  Xuemei Guo,et al.  Sleep-pose Recognition Based On Pyroelectric Infrared Sensing Technology , 2018, 2018 13th World Congress on Intelligent Control and Automation (WCICA).

[23]  Yanyan Wang,et al.  TagSheet: Sleeping Posture Recognition with an Unobtrusive Passive Tag Matrix , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.

[24]  C. Tseng,et al.  Multi-Target Concurrent Vital Sign and Location Detection Using Metamaterial-Integrated Self-Injection-Locked Quadrature Radar Sensor , 2019, IEEE Transactions on Microwave Theory and Techniques.

[25]  Victor M. Lubecke,et al.  Respiratory Feature Extraction for Radar-Based Continuous Identity Authentication , 2020, 2020 IEEE Radio and Wireless Symposium (RWS).

[26]  M. Valdés-Dapena,et al.  Sudden infant death syndrome: a review of the medical literature 1974-1979. , 1980, Pediatrics.

[27]  Yerem Yeghiazarians,et al.  Obstructive Sleep Apnea in Cardiovascular Disease: A Review of the Literature and Proposed Multidisciplinary Clinical Management Strategy , 2018, Journal of the American Heart Association.

[28]  Wansuree Massagram,et al.  Tidal Volume Measurement Through Non-Contact Doppler Radar With DC Reconstruction , 2013, IEEE Sensors Journal.

[29]  W. Ruan,et al.  Validation of novel automatic ultra-wideband radar for sleep apnea detection , 2020, Journal of thoracic disease.

[30]  Guang-Zhong Yang,et al.  Monitoring cardio-respiratory and posture movements during sleep: What can be achieved by a single motion sensor , 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

[31]  Olga Boric-Lubecke,et al.  Considerations in measuring vital signs cross section with Doppler radar , 2011, 2011 IEEE Radio and Wireless Symposium.

[32]  Rainer Stiefelhagen,et al.  Sleep position classification from a depth camera using Bed Aligned Maps , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

[33]  George Shaker,et al.  Remote Monitoring of Human Vital Signs Using mm-Wave FMCW Radar , 2019, IEEE Access.

[34]  Yong Gyu Lim,et al.  Estimation of Body Postures on Bed Using Unconstrained ECG Measurements , 2013, IEEE Journal of Biomedical and Health Informatics.

[35]  Changzhan Gu,et al.  Doppler radar vital sign detection with random body movement cancellation based on adaptive phase compensation , 2013, 2013 IEEE MTT-S International Microwave Symposium Digest (MTT).

[36]  Nasser Kehtarnavaz,et al.  In-bed posture classification and limb identification , 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

[37]  Olga Boric-Lubecke,et al.  Modeling of human torso time-space characteristics for respiratory effective RCS measurements with Doppler radar , 2011, 2011 IEEE MTT-S International Microwave Symposium.

[38]  D. Kupfer,et al.  Sleep apnea risk and clinical correlates in patients with bipolar disorder. , 2012, Bipolar Disorders.

[39]  Wenyao Xu,et al.  SleepSense: A Noncontact and Cost-Effective Sleep Monitoring System , 2017, IEEE Transactions on Biomedical Circuits and Systems.

[40]  Kathy D. Duncan,et al.  Preventing pressure ulcers: the goal is zero. , 2007, Joint Commission journal on quality and patient safety.

[41]  O. Boric-Lubecke,et al.  Non-contact respiratory rate measurement validation for hospitalized patients , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[42]  Olga Boric-Lubecke,et al.  Wireless Sleep Apnea Detection Using Continuous Wave Quadrature Doppler Radar , 2020, IEEE Sensors Journal.

[43]  O. Boric-Lubecke,et al.  Assessment of Heart Rate Variability and Respiratory Sinus Arrhythmia via Doppler Radar , 2009, IEEE Transactions on Microwave Theory and Techniques.

[44]  Olga Boric-Lubecke,et al.  Concurrent Respiration Monitoring of Multiple Subjects by Phase-Comparison Monopulse Radar Using Independent Component Analysis (ICA) With JADE Algorithm and Direction of Arrival (DOA) , 2020, IEEE Access.

[45]  Tzyy-Sheng Horng,et al.  Stepped-Frequency Continuous-Wave Radar With Self-Injection-Locking Technology for Monitoring Multiple Human Vital Signs , 2019, IEEE Transactions on Microwave Theory and Techniques.

[46]  E. van Cauter,et al.  Associations between Sleep Loss and Increased Risk of Obesity and Diabetes , 2008, Annals of the New York Academy of Sciences.