Introducing Contactless Blood Pressure Assessment Using a High Speed Video Camera

Recent studies demonstrated that blood pressure (BP) can be estimated using pulse transit time (PTT). For PTT calculation, photoplethysmogram (PPG) is usually used to detect a time lag in pulse wave propagation which is correlated with BP. Until now, PTT and PPG were registered using a set of body-worn sensors. In this study a new methodology is introduced allowing contactless registration of PTT and PPG using high speed camera resulting in corresponding image-based PTT (iPTT) and image-based PPG (iPPG) generation. The iPTT value can be potentially utilized for blood pressure estimation however extent of correlation between iPTT and BP is unknown. The goal of this preliminary feasibility study was to introduce the methodology for contactless generation of iPPG and iPTT and to make initial estimation of the extent of correlation between iPTT and BP “in vivo.” A short cycling exercise was used to generate BP changes in healthy adult volunteers in three consecutive visits. BP was measured by a verified BP monitor simultaneously with iPTT registration at three exercise points: rest, exercise peak, and recovery. iPPG was simultaneously registered at two body locations during the exercise using high speed camera at 420 frames per second. iPTT was calculated as a time lag between pulse waves obtained as two iPPG’s registered from simultaneous recoding of head and palm areas. The average inter-person correlation between PTT and iPTT was 0.85 ± 0.08. The range of inter-person correlations between PTT and iPTT was from 0.70 to 0.95 (p < 0.05). The average inter-person coefficient of correlation between SBP and iPTT was -0.80 ± 0.12. The range of correlations between systolic BP and iPTT was from 0.632 to 0.960 with p < 0.05 for most of the participants. Preliminary data indicated that a high speed camera can be potentially utilized for unobtrusive contactless monitoring of abrupt blood pressure changes in a variety of settings. The initial prototype system was able to successfully generate approximation of pulse transit time and showed high intra-individual correlation between iPTT and BP. Further investigation of the proposed approach is warranted.

[1]  Gilwon Yoon,et al.  Non-constrained Blood Pressure Monitoring Using ECG and PPG for Personal Healthcare , 2009, Journal of Medical Systems.

[2]  Joseph Finkelstein,et al.  Remotely controlled cycling exercise system for home-based telerehabilitation , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[3]  A. Patzak,et al.  Continuous blood pressure measurement using the pulse transit time: Comparison to intra-arterial measurement , 2015, Blood pressure.

[4]  L A Geddes,et al.  Pulse transit time as an indicator of arterial blood pressure. , 1981, Psychophysiology.

[5]  J. Moon,et al.  Validation study of the Dinamap ProCare 200 upper arm blood pressure monitor in children and adolescents , 2011, Korean journal of pediatrics.

[6]  T. Ma,et al.  A Correlation Study on the Variabilities in Pulse Transit Time, Blood Pressure, and Heart Rate Recorded Simultaneously from Healthy Subjects , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[7]  A Steptoe,et al.  Voluntary blood pressure reductions measured with pulse transit time: training conditions and reactions to mental work. , 1977, Psychophysiology.

[8]  Martin G Myers,et al.  Automated office blood pressure measurement in primary care. , 2014, Canadian family physician Medecin de famille canadien.

[9]  Y. Mendelson.  Pulse oximetry: theory and applications for noninvasive monitoring. , 1992, Clinical chemistry.

[10]  Omer T. Inan,et al.  Ballistocardiogram as Proximal Timing Reference for Pulse Transit Time Measurement: Potential for Cuffless Blood Pressure Monitoring , 2015, IEEE Transactions on Biomedical Engineering.

[11]  Peter J Lesniewski,et al.  Performance limits of ICA-based heart rate identification techniques in imaging photoplethysmography , 2015, Physiological measurement.

[12]  J. Pépin,et al.  Pulse transit time: an appraisal of potential clinical applications , 1999, Thorax.

[13]  P. Obrist,et al.  Pulse transit time: relationship to blood pressure and myocardial performance. , 1979, Psychophysiology.

[14]  John Anthony,et al.  Accuracy Assessment of the Dinamap ProCare 400 in Pregnancy and Preeclampsia , 2010, Hypertension in pregnancy.

[15]  R. Kattai,et al.  Continuous blood pressure monitoring during exercise using pulse wave transit time measurement , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Joseph Finkelstein,et al.  Interactive biking exercise (iBikE) platform to facilitate lower extremity cycling exercise: System design and feasibility , 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

[17]  Chia-Hung Lin,et al.  Development of a Telecare System Based on ZigBee Mesh Network for Monitoring Blood Pressure of Patients with Hemodialysis in Health Care Centers , 2010, Journal of Medical Systems.

[18]  Yutaka Imai,et al.  Practice guidelines of the European Society of Hypertension for clinic, ambulatory and self blood pressure measurement. , 2005, Journal of hypertension.

[19]  Roman Rouzier,et al.  Non-Invasive Tools for the Diagnosis of Potentially Life-Threatening Gynaecological Emergencies: A Systematic Review , 2015, PloS one.

[20]  Joseph Finkelstein,et al.  Hypertension telemanagement in blacks. , 2009, Circulation. Cardiovascular quality and outcomes.

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

[22]  Daniel McDuff,et al.  Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera , 2014, IEEE Transactions on Biomedical Engineering.

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

[24]  Hsien-Tsai Wu,et al.  Association of risk factors with increased pulse wave velocity detected by a novel method using dual-channel photoplethysmography. , 2005, American journal of hypertension.

[25]  Joseph Finkelstein,et al.  Optimizing Non-Invasive Blood Pressure Estimation Using Pulse Transit Time , 2013, MedInfo.

[26]  McKenzie Bedra,et al.  Introducing Home Blood Pressure Telemonitoring for Children with Hypertension , 2015, MedInfo.

[27]  Kwang Suk Park,et al.  Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[28]  Jeffrey Wood,et al.  Using Individualized Pulse Transit Time Calibration to Monitor Blood Pressure During Exercise , 2013, ICIMTH.

[29]  In Cheol Jeong,et al.  Design and implementation of Home Automated Telemanagement platform for interactive biking exercise (iBikE HAT) , 2013, 2013 IEEE Point-of-Care Healthcare Technologies (PHT).

[30]  Hilmi R. Dajani,et al.  Oscillometric Blood Pressure Estimation: Past, Present, and Future , 2015, IEEE Reviews in Biomedical Engineering.

[31]  A Torricelli,et al.  Pulse transit time measured by photoplethysmography improves the accuracy of heart rate as a surrogate measure of cardiac output, stroke volume and oxygen uptake in response to graded exercise , 2015, Physiological measurement.

[32]  Ki H. Chon,et al.  Physiological Parameter Monitoring from Optical Recordings With a Mobile Phone , 2012, IEEE Transactions on Biomedical Engineering.

[33]  S. Seyedtabaii,et al.  Kalman Filter Based Adaptive Reduction of Motion Artifact from Photoplethysmographic Signal , 2008 .

[34]  Frédo Durand,et al.  Eulerian video magnification for revealing subtle changes in the world , 2012, ACM Trans. Graph..

[35]  Guanqun Zhang,et al.  Pulse arrival time is not an adequate surrogate for pulse transit time as a marker of blood pressure. , 2011, Journal of applied physiology.

[36]  Mehmet Rasit Yuce,et al.  A survey on signals and systems in ambulatory blood pressure monitoring using pulse transit time , 2015, Physiological measurement.

[37]  Joseph Finkelstein,et al.  Potential value of electrocardiogram and photoplethysmogram for non-invasive blood pressure estimation during exercise , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[38]  A. Patzak,et al.  Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method , 2011, European Journal of Applied Physiology.

[39]  Sahindrakar.  Improving Motion Robustness of Contact-less Monitoring of Heart Rate Using Video Analysis , 2011 .

[40]  G. Stergiou,et al.  Home Blood Pressure Monitoring: Primary Role in Hypertension Management , 2014, Current Hypertension Reports.

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

[42]  M. Nitzan,et al.  Increase in pulse transit time to the foot after epidural anaesthesia treatment , 2000, Medical and Biological Engineering and Computing.

[43]  Survi Kyal,et al.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice , 2015, IEEE Transactions on Biomedical Engineering.

[44]  Joseph Finkelstein,et al.  Feasibility of Interactive Biking Exercise System for Telemanagement in Elderly , 2013, MedInfo.

[45]  Magdalena Madej,et al.  Measuring Pulse Rate with a Webcam , 2012 .

[46]  J. Sharman,et al.  Exercise blood pressure: clinical relevance and correct measurement , 2014, Journal of Human Hypertension.

[47]  Daniel W. Jones,et al.  Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. , 2005, Hypertension.

[48]  D Shapiro,et al.  Pulse transit time and blood pressure: an intensive analysis. , 1983, Psychophysiology.

[49]  L. O. Svaasand,et al.  Remote plethysmographic imaging using ambient light. , 2008, Optics express.

[50]  A Steptoe,et al.  Pulse wave velocity and blood pressure change: calibration and applications. , 1976, Psychophysiology.

[51]  Yuan-Ting Zhang,et al.  Adaptive reduction of motion artifact from photoplethysmographic recordings using a variable step-size LMS filter , 2002, Proceedings of IEEE Sensors.

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