Non-Contact Vital Signs Monitoring Through Visible Light Sensing

This paper presents a non-contact vital signs (respiration and heartbeat) monitoring system that utilizes visible light sensing (VLS) technology. We have for the first time demonstrated the ability to wirelessly (non-contact) sense vital signs using only reflected incoherent light signals from a human subject. The VLS-based system is implemented by using simple visible light source, photodetector and data acquisition/processing unit, and is used with the developed signal processing algorithms to turn slight variations in reflected light power into accurate measurements of respiration and heart rate. To assess the accuracy of our method, the results were compared with reliable measurements using a contact-based monitoring device (ground truth). More than 94% of accuracy was observed in test results including both breathing and heartbeat rates in different scenarios as compared to the state-of-the-art baseline methods such as contact-based vitals monitoring devices. These competitive results have demonstrated that VLS-based vitals monitoring innovation is indeed a viable, powerful, attractive, low-cost and safe method. This study represents a substantive departure from the traditional ways of doing non-contact vitals monitoring methods (e.g., radio-frequency-based radars and imaging-based cameras) and is poised to make big contributions to this area. Since vital signs monitoring is a ubiquitous element of medicine, this work would also impact the entire health care community, from patients in their homes, to doctor’s offices, to large medical institutions and industries. This technology has potential to address numerous conditions and situations in which vital signs are critical indicators such as sleep apnea and human-computer-interaction applications.

[1]  Fang Yang,et al.  Contact-free measurement of heartbeat signal via a doppler radar using adaptive filtering , 2010, 2010 International Conference on Image Analysis and Signal Processing.

[2]  Shady H. E. Abdel Aleem,et al.  Effects of electromagnetic interference on the functional usage of medical equipment by 2G/3G/4G cellular phones: A review , 2016 .

[3]  Zabih Ghassemlooy,et al.  Visible Light Communication for Vehicular Networking: Performance Study of a V2V System Using a Measured Headlamp Beam Pattern Model , 2015, IEEE Vehicular Technology Magazine.

[4]  João Jorge,et al.  Non-Contact Vital Sign Monitoring in the Clinic , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

[5]  Marco Zuniga,et al.  Passive Sensing and Communication Using Visible Light: Taxonomy, Challenges and Opportunities , 2017, ArXiv.

[6]  John M. Graybeal,et al.  The Effect of Motion on Pulse Oximetry and Its Clinical Significance , 2007, Anesthesia and analgesia.

[7]  A. J. Henderson,et al.  The title of the article : A 3 D MACHINE VISION METHOD FOR NON-INVASIVE ASSESSMENT OF RESPIRATORY FUNCTION , 2015 .

[8]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[9]  G Ntogari,et al.  Combining Illumination Dimming Based on Pulse-Width Modulation With Visible-Light Communications Based on Discrete Multitone , 2011, IEEE/OSA Journal of Optical Communications and Networking.

[10]  Changzhi Li,et al.  Recent advances in Doppler radar sensors for pervasive healthcare monitoring , 2010, 2010 Asia-Pacific Microwave Conference.

[11]  Daniel McDuff,et al.  Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam , 2011, IEEE Transactions on Biomedical Engineering.

[12]  Parth H. Pathak,et al.  Visible Light Communication, Networking, and Sensing: A Survey, Potential and Challenges , 2015, IEEE Communications Surveys & Tutorials.

[13]  L. Tarassenko,et al.  Continuous non-contact vital sign monitoring in neonatal intensive care unit , 2014, Healthcare technology letters.

[14]  Yue Tian,et al.  Contact-free Measurement of Heart Rate Variability via a Microwave Sensor , 2009, Sensors.

[15]  K. J. Ray Liu,et al.  TR-BREATH: Time-Reversal Breathing Rate Estimation and Detection , 2018, IEEE Transactions on Biomedical Engineering.

[16]  L. Tarassenko,et al.  Non-contact video-based vital sign monitoring using ambient light and auto-regressive models , 2014, Physiological measurement.

[17]  F. Mastik,et al.  Contactless Multiple Wavelength Photoplethysmographic Imaging: A First Step Toward “SpO2 Camera” Technology , 2005, Annals of Biomedical Engineering.

[18]  C. Takano,et al.  Heart rate measurement based on a time-lapse image. , 2007, Medical engineering & physics.

[19]  Sabit Ekin,et al.  A New Paradigm for Non-contact Vitals Monitoring using Visible Light Sensing , 2019, 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[20]  Jenshan Lin,et al.  Accuracy of A Low-Power Ka-Band Non-Contact Heartbeat Detector Measured from Four Sides of A Human Body , 2006, 2006 IEEE MTT-S International Microwave Symposium Digest.

[21]  Rosalind W. Picard,et al.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation , 2022 .

[22]  Nils Ole Tippenhauer,et al.  Toys communicating with LEDs: Enabling toy cars interaction , 2012, 2012 IEEE Consumer Communications and Networking Conference (CCNC).

[23]  W. Verkruysse,et al.  Non-contact heart rate monitoring utilizing camera photoplethysmography in the neonatal intensive care unit - a pilot study. , 2013, Early human development.

[24]  B. Hök,et al.  Critical review of non-invasive respiratory monitoring in medical care , 2003, Medical and Biological Engineering and Computing.

[25]  Pei Zhang,et al.  Monitoring a Person's Heart Rate and Respiratory Rate on a Shared Bed Using Geophones , 2017, SenSys.

[26]  E. Chan,et al.  Pulse oximetry: understanding its basic principles facilitates appreciation of its limitations. , 2013, Respiratory medicine.

[27]  Kun-mu Chen,et al.  An X-Band Microwave Life-Detection System , 1986, IEEE Transactions on Biomedical Engineering.

[28]  R. Dhanasekaran,et al.  Electromagnetic interference on critical medical equipments by RF devices , 2013, 2013 International Conference on Communication and Signal Processing.

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

[30]  M. Nitzan,et al.  The difference in pulse transit time to the toe and finger measured by photoplethysmography. , 2002, Physiological measurement.

[31]  Rob Miller,et al.  Smart Homes that Monitor Breathing and Heart Rate , 2015, CHI.

[32]  R Dhanasekaran,et al.  Effect of electromagnetic radiations on the functioning of medical devices from wireless local area networks — A review , 2016, 2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT).

[33]  U. Bapst,et al.  Wireless in-house data communication via diffuse infrared radiation , 1979, Proceedings of the IEEE.

[34]  R. Dhanasekaran,et al.  Electromagnetic interference on critical medical equipments by RFID system , 2013, 2013 International Conference on Communication and Signal Processing.

[35]  Fatih Erden,et al.  Respiratory rate monitoring using infrared sensors , 2015, 2015 9th International Conference on Electrical and Electronics Engineering (ELECO).

[36]  Soichi Watanabe,et al.  BIOLOGICAL AND HEALTH EFFECTS OF EXPOSURE TO ELECTROMAGNETIC FIELD FROM MOBILE COMMUNICATIONS SYSTEMS , 2001 .

[37]  Enzo Pasquale Scilingo,et al.  Comparative Evaluation of Susceptibility to Motion Artifact in Different Wearable Systems for Monitoring Respiratory Rate , 2010, IEEE Transactions on Information Technology in Biomedicine.

[38]  João Jorge,et al.  Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

[39]  Timo Tigges,et al.  Camera-based system for contactless monitoring of respiration , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[40]  Harald Haas,et al.  OFDM Visible Light Wireless Communication Based on White LEDs , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[41]  Rajendran Parthiban,et al.  LED Based Indoor Visible Light Communications: State of the Art , 2015, IEEE Communications Surveys & Tutorials.

[42]  Huey-Ru Chuang,et al.  Automatic clutter-canceler for microwave life-detection systems , 1991 .

[43]  Xia Zhou,et al.  Visible Light Knows Who You Are , 2015, VLCS@MobiCom.

[44]  Jun-Young Park,et al.  A Novel Non-contact Heart Rate Monitor Using Impulse-Radio Ultra-Wideband (IR-UWB) Radar Technology , 2018, Scientific Reports.

[45]  Mohamed Ibrahim,et al.  Visible light based activity sensing using ceiling photosensors , 2016, VLCS '16.

[46]  Darren Leigh,et al.  Very Low-Cost Sensing and Communication Using Bidirectional LEDs , 2003, UbiComp.

[47]  Ashok Veeraraghavan,et al.  DistancePPG: Robust non-contact vital signs monitoring using a camera , 2015, Biomedical optics express.

[48]  Jian Li,et al.  Accurate Doppler Radar Noncontact Vital Sign Detection Using the RELAX Algorithm , 2010, IEEE Transactions on Instrumentation and Measurement.

[49]  E. F. Greneker,et al.  A non-contact lie detector using radar vital signs monitor (RVSM) technology , 2001 .

[50]  J.C. Lin Noninvasive microwave measurement of respiration , 1975, Proceedings of the IEEE.