{"id":423837,"date":"2017-09-07T12:03:12","date_gmt":"2017-09-07T19:03:12","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=423837"},"modified":"2019-03-03T21:10:22","modified_gmt":"2019-03-04T05:10:22","slug":"glabella-continuously-sensing-blood-pressure-behavior-using-unobtrusive-wearable-device","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/glabella-continuously-sensing-blood-pressure-behavior-using-unobtrusive-wearable-device\/","title":{"rendered":"Glabella: Continuously Sensing Blood Pressure Behavior using an Unobtrusive Wearable Device"},"content":{"rendered":"<p style=\"margin: 0px 0px 5pt;color: #333333;font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif;font-size: 13.3333px;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: start;text-indent: 0px;background-color: #ffffff\">We propose <em>Glabella<\/em>, a wearable device that\u00a0<em>continuously<\/em>\u00a0and\u00a0<em>unobtrusively<\/em>\u00a0monitors heart rates at three sites on the wearer&#8217;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&#8217;s head. From the temporal differences in pulse events across the sensors, our prototype derives the wearer&#8217;s pulse transit time on a beat-to-beat basis.<\/p>\n<p style=\"margin: 0px 0px 5pt;color: #333333;font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif;font-size: 13.3333px;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: start;text-indent: 0px;background-color: #ffffff\">Numerous efforts have found a significant correlation between a person&#8217;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\u2014at a substantially higher level of convenience and higher rate than traditional blood pressure monitors, such as cuff-based oscillometric devices. This enables our cuff-less prototype to model the beat-to-beat fluctuations in the user&#8217;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.<\/p>\n<p style=\"margin: 0px 0px 5pt;color: #333333;font-family: 'Helvetica Neue', Arial, Helvetica, sans-serif;font-size: 13.3333px;font-style: normal;font-weight: normal;letter-spacing: normal;text-align: start;text-indent: 0px;background-color: #ffffff\">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\u2019 heart rates (mean\u00a0<em>r<\/em>\u00a0= 0.92,\u00a0<em>SE<\/em>\u00a0= 0.03, angular artery) and systolic blood pressure values measured using the oscillometric cuffs (mean\u00a0<em>r<\/em>\u00a0= 0.79,\u00a0<em>SE<\/em>\u00a0= 0.15, angular\u2013superficial temporal artery, considering participants&#8217; 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&#8217; self-tracking activities.<\/p>\n<p>&nbsp;<\/p>\n<div style=\"width: 611px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/www.christianholz.net\/2017-imwut17-glabella-figure1.jpg\" width=\"601\" height=\"189\" \/><p class=\"wp-caption-text\">Our wearable glasses prototype Glabella incorporates optical sensors to continuously measure and store the user&#8217;s pulse waves at three different sites on their face. Our device additionally comprises inertial sensors and a processing unit that compares the continuously recorded pulse waves to extract the user&#8217;s pulse transit time\u2014the delay between the moments at which the blood ejected from the heart reaches the three sites. Pulse transit time functions as a proxy measurement to monitor the short-term behavior of the user&#8217;s systolic blood pressure, to which our evaluation shows a significant correlation during in-the-wild use.<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>More information on the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.christianholz.net\/glabella.html\">Glabella project page<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We propose Glabella, a wearable device that\u00a0continuously\u00a0and\u00a0unobtrusively\u00a0monitors heart rates at three sites on the wearer&#8217;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 [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556,13552,13554,13553],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-423837","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-hardware-devices","msr-research-area-human-computer-interaction","msr-research-area-medical-health-genomics","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2017-9-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Interactive, Mobile, Wearable and Ubiquitous Technologies","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"Distinguished paper award","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"425406","msr_publicationurl":"http:\/\/www.christianholz.net\/glabella.html","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/09\/2017-imwut17-holz_wang-Glabella-Continuously_Sensing_Blood_Pressure_Behavior_using_an_Unobtrusive_Wearable.pdf","id":"425406","title":"2017-imwut17-holz_wang-Glabella-Continuously_Sensing_Blood_Pressure_Behavior_using_an_Unobtrusive_Wearable","label_id":"243109","label":0},{"type":"url","viewUrl":"false","id":"false","title":"http:\/\/www.christianholz.net\/glabella.html","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"http:\/\/www.christianholz.net\/glabella.html"}],"msr-author-ordering":[{"type":"user_nicename","value":"Christian Holz","user_id":31415,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Christian Holz"},{"type":"text","value":"Edward Wang","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[396845],"msr_project":[423870],"publication":[],"video":[],"download":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":423870,"post_title":"Glabella: Continuous Cuff-less, Wearable, and Unobtrusive Blood Pressure Measuring","post_name":"glabella-continuous-cuff-less-wearable-unobtrusive-blood-pressure-measuring","post_type":"msr-project","post_date":"2017-09-07 13:23:49","post_modified":"2018-02-22 08:29:57","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/glabella-continuous-cuff-less-wearable-unobtrusive-blood-pressure-measuring\/","post_excerpt":"Abstract We propose Glabella, a wearable device that\u00a0continuously\u00a0and\u00a0unobtrusively\u00a0monitors 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&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/423870"}]}}]},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/423837"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/423837\/revisions"}],"predecessor-version":[{"id":571185,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/423837\/revisions\/571185"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=423837"}],"wp:term":[{"taxonomy":"msr-content-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-content-type?post=423837"},{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=423837"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=423837"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=423837"},{"taxonomy":"msr-product-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-product-type?post=423837"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=423837"},{"taxonomy":"msr-platform","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-platform?post=423837"},{"taxonomy":"msr-download-source","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-download-source?post=423837"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=423837"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=423837"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=423837"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=423837"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=423837"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=423837"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=423837"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}