extended-abstract

CamBP: a camera-based, non-contact blood pressure monitor

Authors:

Omkar R. Patil,

Zhanpeng JinAuthors Info & Claims

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Pages 524 - 529

https://doi.org/10.1145/3123024.3124428

Published: 11 September 2017 Publication History

Abstract

Convenient monitoring of vital signs, particularly blood pressure(BP), is critical to improve the effectiveness of health-care and prevent chronic diseases. This study presents a user-friendly, low-cost, real-time, and non-contact technique for BP measurement based on the detection of photoplethysmography (PPG) using a regular webcam. Leveraging features extracted from photoplethysmograph, an individual's BP can be estimated using a neural network. Experiments were performed on 20 human participants during three different daytime slots given the influence of background illumination. Compared against the systolic blood pressure and diastolic blood pressure readings collected from a commercially available BP monitor, the proposed technique achieves an average error rate of 9.62% (Systolic BP) and 11.63% (Diastolic BP) for the afternoon session, and 8.4% (Systolic BP) and 11.18% (Diastolic BP) for the evening session. The proposed technique can be easily extended to the camera on any mobile device and thus be widely used in a pervasive manner.

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Cited By

Mohan JKumar MBhattacharya SSaranya A(2024)Non-Contact Blood Pressure Estimation Using Camera-Based rPPG Analysis2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT61001.2024.10726072(1-5)Online publication date: 24-Jun-2024
https://doi.org/10.1109/ICCCNT61001.2024.10726072
Al-Naji AFakhri AMahmood MChahl J(2022)Contactless Blood Pressure Estimation System Using a Computer Vision SystemInventions10.3390/inventions70300847:3(84)Online publication date: 18-Sep-2022
https://doi.org/10.3390/inventions7030084
Man PCheung KSangsiri NShek WWong KChin JChan TSo R(2022)Blood Pressure Measurement: From Cuff-Based to Contactless MonitoringHealthcare10.3390/healthcare1010211310:10(2113)Online publication date: 21-Oct-2022
https://doi.org/10.3390/healthcare10102113
Show More Cited By

Index Terms

CamBP: a camera-based, non-contact blood pressure monitor
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics
2. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

cover image ACM Conferences

UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

September 2017

1089 pages

ISBN:9781450351904

DOI:10.1145/3123024

General Chairs:
Seungyon "Claire" Lee
Google
,
Leila Takayama
UC Santa Cruz
,
Khai Truong
University of Toronto

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 11 September 2017

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Extended-abstract

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UbiComp '17

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UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 11 - 15, 2017

Hawaii, Maui

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Mohan JKumar MBhattacharya SSaranya A(2024)Non-Contact Blood Pressure Estimation Using Camera-Based rPPG Analysis2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT61001.2024.10726072(1-5)Online publication date: 24-Jun-2024
https://doi.org/10.1109/ICCCNT61001.2024.10726072
Al-Naji AFakhri AMahmood MChahl J(2022)Contactless Blood Pressure Estimation System Using a Computer Vision SystemInventions10.3390/inventions70300847:3(84)Online publication date: 18-Sep-2022
https://doi.org/10.3390/inventions7030084
Man PCheung KSangsiri NShek WWong KChin JChan TSo R(2022)Blood Pressure Measurement: From Cuff-Based to Contactless MonitoringHealthcare10.3390/healthcare1010211310:10(2113)Online publication date: 21-Oct-2022
https://doi.org/10.3390/healthcare10102113
Zhang YZhang XDu J(2022)Non-Invasive Blood Pressure Measurement Using A Mobile Phone Camera2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)10.1109/CIBCB55180.2022.9863015(1-6)Online publication date: 15-Aug-2022
https://doi.org/10.1109/CIBCB55180.2022.9863015
Steinman JBarszczyk ASun HLee KFeng Z(2021)Smartphones and Video Cameras: Future Methods for Blood Pressure MeasurementFrontiers in Digital Health10.3389/fdgth.2021.7700963Online publication date: 12-Nov-2021
https://doi.org/10.3389/fdgth.2021.770096
Goudarz RMousavi SCharmi M(2021)Introducing a New Feature Extraction Method for Non-Contact Blood Pressure Estimating Through iPPG Signals Extracted using G-R Method from Video Images of Different Facial Regions2021 5th International Conference on Pattern Recognition and Image Analysis (IPRIA)10.1109/IPRIA53572.2021.9483529(1-8)Online publication date: 28-Apr-2021
https://doi.org/10.1109/IPRIA53572.2021.9483529
Ding XWang WChen YYang YZhao YKong D(2021)Feasibility Study of Pulse Width at Half Amplitude of Camera PPG for Contactless Blood Pressure Estimation2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC46164.2021.9630964(365-368)Online publication date: 1-Nov-2021
https://doi.org/10.1109/EMBC46164.2021.9630964
Shirbani FMoriarty AHui NCox JTan IAvolio AButlin M(2021)Contactless video-based photoplethysmography technique comparison investigating pulse transit time estimation of arterial blood pressure2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC46164.2021.9629489(5650-5653)Online publication date: 1-Nov-2021
https://doi.org/10.1109/EMBC46164.2021.9629489
Rohmetra HRaghunath NNarang PChamola VGuizani MLakkaniga N(2021)AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challengesComputing10.1007/s00607-021-00937-7105:4(783-809)Online publication date: 29-Mar-2021
https://dl.acm.org/doi/10.1007/s00607-021-00937-7
Choe EKlasnja PPratt W(2021)mHealth and ApplicationsBiomedical Informatics10.1007/978-3-030-58721-5_19(637-666)Online publication date: 1-Jun-2021
https://doi.org/10.1007/978-3-030-58721-5_19
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