Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Glabella: Continuously Sensing Blood Pressure Behavior using an Unobtrusive Wearable Device

Published: 11 September 2017 Publication History
  • Get Citation Alerts
  • Abstract

    We propose Glabella, a wearable device that continuously and unobtrusively monitors heart rates at three sites on the wearer’s head. Our glasses prototype incorporates optical sensors, processing, storage, and communication components, all integrated into the frame to passively collect physiological data about the user without the need for any interaction. Glabella continuously records the stream of reflected light intensities from blood flow as well as inertial measurements of the user’s head. From the temporal differences in pulse events across the sensors, our prototype derives the wearer’s pulse transit time on a beat-to-beat basis.
    Numerous efforts have found a significant correlation between a person’s pulse transit time and their systolic blood pressure. In this paper, we leverage this insight to continuously observe pulse transit time as a proxy for the behavior of systolic blood pressure levels—at a substantially higher level of convenience and higher rate than traditional blood pressure monitors, such as cuff-based oscillometric devices. This enables our prototype to model the beat-to-beat fluctuations in the user’s blood pressure over the course of the day and record its short-term responses to events, such as postural changes, exercise, eating and drinking, resting, medication intake, location changes, or time of day.
    During our in-the-wild evaluation, four participants wore a custom-fit Glabella prototype device over the course of five days throughout their daytime job and regular activities. Participants additionally measured their radial blood pressure three times an hour using a commercial oscillometric cuff. Our analysis shows a high correlation between the pulse transit times computed on our devices with participants’ heart rates (mean r = 0.92, SE = 0.03, angular artery) and systolic blood pressure values measured using the oscillometric cuffs (mean r = 0.79, SE = 0.15, angular-superficial temporal artery, considering participants’ self-administered cuff-based measurements as ground truth). Our results indicate that Glabella has the potential to serve as a socially-acceptable capture device, requiring no user input or behavior changes during regular activities, and whose continuous measurements may prove informative to physicians as well as users’ self-tracking activities.

    Supplementary Material

    holz (holz.zip)
    Supplemental movie, appendix, image and software files for, Glabella: Continuously Sensing Blood Pressure Behavior using an Unobtrusive Wearable Device

    References

    [1]
    Robert a. Allen, John A. Schneider, Dennis M. Davidson, Mark A. Winchester, and C. Barr Taylor. 1981. The Covariation of Blood Pressure and Pulse Transit Time in Hypertensive Patients. Psychophysiology 18, 3 (1981), 301--306.
    [2]
    Alberto P Avolio, Mark Butlin, and Andrew Walsh. 2009. Arterial blood pressure measurement and pulse wave analysisâĂŤtheir role in enhancing cardiovascular assessment. Physiological measurement 31, 1 (2009), R1.
    [3]
    Susan Buchanan. 2009. The Accuracy of Alternatives to Mercury Sphygmomanometers. (2009).
    [4]
    Vikram Chandrasekaran, Ram Dantu, Srikanth Jonnada, Shanti Thiyagaraja, and Kalyan Pathapati Subbu. 2013. Cuffless differential blood pressure estimation using smart phones. IEEE Transactions on Biomedical Engineering 60, 4 (2013), 1080--1089.
    [5]
    Nicholas Constant, Orrett Douglas-Prawl, Samuel Johnson, and Kunal Mankodiya. 2015. Pulse-Glasses: An unobtrusive, wearable HR monitor with Internet-of-Things functionality. In Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on. IEEE, 1--5.
    [6]
    Artem Dementyev and Christian Holz. 2017. DualBlink: A Wearable Device to Continuously Detect, Track, and Actuate Blinking For Alleviating Dry Eyes and Computer Vision Syndrome. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 1, Article 1 (March 2017), 1:1--1:19 pages.
    [7]
    Jong Yong Abdiel Foo, Chu Sing Lim, and Ping Wang. 2006. Evaluation of blood pressure changes using vascular transit time. Physiological measurement 27, 8 (2006), 685.
    [8]
    Heiko Gesche, Detlef Grosskurth, Gert Küchler, and Andreas Patzak. 2012. Continuous blood pressure measurement by using the pulse transit time: comparison to a cuff-based method. European journal of applied physiology 112, 1 (2012), 309--315.
    [9]
    Christian Holz, Tovi Grossman, George Fitzmaurice, and Anne Agur. 2012. Implanted User Interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘12).ACM, New York, NY, USA, 503--512.
    [10]
    iHealth Sense. 2016. Wireless Wrist Blood Pressure Monitor. Online presence (2016). https://ihealthlabs.com/blood-pressure-monitors/wireless-blood-pressure-wrist-monitor/.
    [11]
    Ben PM Imholz, Jos J Settels, Anton H van der Meiracker, Karel H Wesseling, and Wouter Wieling. 1990. Non-invasive continuous finger blood pressure measurement during orthostatic stress compared to intra-arterial pressure. Cardiovascular Research 24, 3 (1990), 214--221.
    [12]
    M. S. Imtiaz, R. Shrestha, T. Dhillon, K. A. Yousuf, B. Saeed, A. Dinh, and K. Wahid. 2013. Correlation between seismocardiogram and systolic blood pressure. In 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). 1--4.
    [13]
    O. T. Inan, P. F. Migeotte, K. S. Park, M. Etemadi, K. Tavakolian, R. Casanella, J. Zanetti, J. Tank, I. Funtova, G. K. Prisk, and M. Di Rienzo. 2015. Ballistocardiography and Seismocardiography: A Review of Recent Advances. IEEE Journal of Biomedical and Health Informatics 19, 4 (July 2015), 1414--1427.
    [14]
    C. S. Kim, A. M. Carek, R. Mukkamala, O. T. Inan, and J. O. Hahn. 2015. Ballistocardiogram as Proximal Timing Reference for Pulse Transit Time Measurement: Potential for Cuffless Blood Pressure Monitoring. IEEE Transactions on Biomedical Engineering 62, 11 (Nov 2015), 2657--2664.
    [15]
    Thalina L Lindquist, Lawrence J Beilin, and Matthew W Knuiman. 1997. Influence of lifestyle, coping, and job stress on blood pressure in men and women. Hypertension 29, 1 (1997), 1--7.
    [16]
    He Liu, Kamen Ivanov, Yadong Wang, and Lei Wang. 2015. Toward a Smartphone Application for Estimation of Pulse Transit Time. Sensors 15, 10 (2015), 27303--27321.
    [17]
    Joshua P. Loh, Israel M. Barbash, and Ron Waksman. 2013. Overview of the 2011 Food and Drug Administration Circulatory System Devices Panel of the Medical Devices Advisory Committee Meeting on the CardioMEMS Champion Heart Failure Monitoring System. Journal of the American College of Cardiology 61, 15 (2013), 1571--1576.
    [18]
    D. B. McCombie, A. T. Reisner, and H. H. Asada. 2006. Adaptive blood pressure estimation from wearable PPG sensors using peripheral artery pulse wave velocity measurements and multi-channel blind identification of local arterial dynamics. In 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. 3521--3524.
    [19]
    SunTech Medical. 2016. Oscar 2: gold standard in 24-hour ambulatory blood pressure monitoring. Online presence (2016). https://www.suntechmed.com/bp-products/ambulatory-blood-pressure-monitoring.
    [20]
    J. Muehlsteff, X. L. Aubert, and M. Schuett. 2006. Cuffless Estimation of Systolic Blood Pressure for Short Effort Bicycle Tests: The Prominent Role of the Pre-Ejection Period. In 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. 5088--5092.
    [21]
    Ramakrishna Mukkamala, Jin-Oh Hahn, Omer T Inan, Lalit K Mestha, Chang-Sei Kim, Hakan Töreyin, and Survi Kyal. 2015. Toward ubiquitous blood pressure monitoring via pulse transit time: theory and practice. IEEE Transactions on Biomedical Engineering 62, 8 (2015), 1879--1901.
    [22]
    Martin G Myers, Marshall Godwin, Martin Dawes, Alexander Kiss, Sheldon W Tobe, F Curry Grant, and Janusz Kaczorowski. 2011. Conventional versus automated measurement of blood pressure in primary care patients with systolic hypertension: randomised parallel design controlled trial. Bmj 342 (2011), d286.
    [23]
    M Nitzan, B Khanokh, and Y Slovik. 2001. The difference in pulse transit time to the toe and finger measured by photoplethysmography. Physiological measurement 23, 1 (2001), 85.
    [24]
    Gianfranco Parati, Juan E Ochoa, Carolina Lombardi, and Grzegorz Bilo. 2013. Assessment and management of blood-pressure variability. Nature Reviews Cardiology 10, 3 (2013), 143--155.
    [25]
    RA Payne, CN Symeonides, DJ Webb, and SRJ Maxwell. 2006. Pulse transit time measured from the ECG: an unreliable marker of beat-to-beat blood pressure. Journal of Applied Physiology 100, 1 (2006), 136--141.
    [26]
    L Peter, Norbert Noury, and M Cerny. 2014. A review of methods for non-invasive and continuous blood pressure monitoring: Pulse transit time method is promising? Irbm 35, 5 (2014), 271--282.
    [27]
    L Peter, Norbert Noury, and M Cerny. 2014. A review of methods for non-invasive and continuous blood pressure monitoring: Pulse transit time method is promising? Irbm 35, 5 (2014), 271--282.
    [28]
    JC Petrie, ET O’brien, WA Littler, and M De Swiet. 1986. Recommendations on blood pressure measurement. British medical journal (Clinical research ed.) 293, 6547 (1986), 611.
    [29]
    Thomas G Pickering. 2008. Home blood pressure monitoring: a new standard method for monitoring hypertension control in treated patients. Nature Clinical Practice Cardiovascular Medicine 5, 12 (2008), 762--763.
    [30]
    Thomas G Pickering, Gregory A Harshfield, Hollis D Kleinert, Seymour Blank, and John H Laragh. 1982. Blood pressure during normal daily activities, sleep, and exercise: comparison of values in normal and hypertensive subjects. Jama 247, 7 (1982), 992--996.
    [31]
    Thomas G Pickering, Gary D James, Charlene Boddie, Gregory A Harshfield, Seymour Blank, and John H Laragh. 1988. How common is white coat hypertension? Jama 259, 2 (1988), 225--228.
    [32]
    Samsung. 2016. Simband: a digital health device. Online presence (2016). https://www.simband.io/.
    [33]
    Andrew P Smith, Rachel Clark, and John Gallagher. 1999. Breakfast cereal and caffeinated coffee: effects on working memory, attention, mood, and cardiovascular function. Physiology8 Behavior 67, 1 (1999), 9--17.
    [34]
    Statasys. 2015. Digital ABS. Online presence (2015). http://www.stratasys.com/materials/polyjet/digital-abs.
    [35]
    Andrew Steptoe, Harold Smulyan, and Brian Gribbin. 1976. Pulse wave velocity and blood pressure change: calibration and applications. Psychophysiology 13, 5 (1976), 488--493.
    [36]
    S. S. Thomas, V. Nathan, C. Zong, E. Akinbola, A. L. P. Aroul, L. Philipose, K. Soundarapandian, X. Shi, and R. Jafari. 2014. BioWatch: A wrist watch based signal acquisition system for physiological signals including blood pressure. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2286--2289.
    [37]
    Paolo Verdecchia, Fabio Angeli, Roberto Gattobigio, Cristian Rapicetta, and Gianpaolo Reboldi. 2007. Impact of Blood Pressure Variability on Cardiac and Cerebrovascular Complications in Hypertension*. American Journal of Hypertension 20, 2 (2007), 154--161.
    [38]
    Eric S Winokur, David Da He, and Charles G. Sodini. 2012. A Wearable Vital Signs Monitor at the Ear for Continuous Heart Rate and Pulse Transit Time Measurements. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 8, 5 (2012), 583--592.
    [39]
    Withings. 2016. Body Cardio Scale. Online presence (2016). https://www.withings.com/us/en/products/body-cardio.

    Cited By

    View all
    • (2024)Exploring the Effectiveness of Time-lapse Screen Recording for Self-Reflection in Work ContextProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642469(1-14)Online publication date: 11-May-2024
    • (2024)ecSkin: Low-Cost Fabrication of Epidermal Electrochemical Sensors for Detecting Biomarkers in SweatProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642232(1-20)Online publication date: 11-May-2024
    • (2024)UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers2024 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom59722.2024.10494467(1-10)Online publication date: 11-Mar-2024
    • Show More Cited By

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 3
    September 2017
    2023 pages
    EISSN:2474-9567
    DOI:10.1145/3139486
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 September 2017
    Accepted: 01 July 2017
    Revised: 01 July 2017
    Received: 01 February 2017
    Published in IMWUT Volume 1, Issue 3

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Physiological sensing
    2. blood pressure monitoring
    3. continuous tracking
    4. convenience
    5. cuffless sensing
    6. heart rate monitoring
    7. in-the-wild user study
    8. pulse transit time
    9. unobtrusive wearable
    10. wearable device

    Qualifiers

    • Research-article
    • Research
    • Refereed

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)242
    • Downloads (Last 6 weeks)13
    Reflects downloads up to 26 Jul 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Exploring the Effectiveness of Time-lapse Screen Recording for Self-Reflection in Work ContextProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642469(1-14)Online publication date: 11-May-2024
    • (2024)ecSkin: Low-Cost Fabrication of Epidermal Electrochemical Sensors for Detecting Biomarkers in SweatProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642232(1-20)Online publication date: 11-May-2024
    • (2024)UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers2024 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom59722.2024.10494467(1-10)Online publication date: 11-Mar-2024
    • (2024)Research for JYU: An AI-Driven, Fully Remote Mobile Application for Functional Exercise TestingDigital Health and Wireless Solutions10.1007/978-3-031-59091-7_18(279-287)Online publication date: 5-May-2024
    • (2023)RWC Update: Artificial Intelligence and Smart Eyewearables for Healthy Longevity; Choroidal Hemangioma Widefield Optical Coherence TomographyOphthalmic Surgery, Lasers and Imaging Retina10.3928/23258160-20221219-0254:2(74-77)Online publication date: Mar-2023
    • (2023)Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future PerspectivesSensors10.3390/s2312574423:12(5744)Online publication date: 20-Jun-2023
    • (2023)New Hemodynamic Parameters in Peri-Operative and Critical Care—Challenges in TranslationSensors10.3390/s2304222623:4(2226)Online publication date: 16-Feb-2023
    • (2023)WIB: Real-time, Non-intrusive Blood Pressure Detection Using SmartphonesACM Transactions on Sensor Networks10.1145/359518219:4(1-27)Online publication date: 9-Jun-2023
    • (2023)HIPPOProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35703446:4(1-30)Online publication date: 11-Jan-2023
    • (2023)Advances in Non-Invasive Blood Pressure Measurement TechniquesIEEE Reviews in Biomedical Engineering10.1109/RBME.2022.314187716(424-438)Online publication date: 2023
    • Show More Cited By

    View Options

    Get Access

    Login options

    Full Access

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media