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A personalized model for monitoring vital signs using camera of the smart phone

Published: 24 March 2014 Publication History

Abstract

Smart phones with optical sensors have created new opportunities for low cost and remote monitoring of vital signs. In this paper, we present a novel approach to find heart rate, perfusion index and oxygen saturation using the video images captured by the camera of the smart phones with mathematical models. We use a technique called principal component analysis (PCA) to find the band that contain most plethysmographic information. Also, we showed a personalized regression model works best for accurately detecting perfusion index and oxygen saturation. Our model has high accuracy of the physiological parameters compared to the traditional pulse oxymeter. Also, an important relationship between frame rate for image capture, minimum peak to peak distance in the pulse wave form and accuracy has been established. We showed that there is an optimal value for minimum peak to peak distance for detecting heart rate accurately. Moreover, we present the evaluation of our personalized models.

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Cited By

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  • (2024)Design of Portable Non-contact Physiological Data Acquisition SystemProceedings of the 2024 7th International Conference on Software Engineering and Information Management10.1145/3647722.3647728(35-41)Online publication date: 23-Jan-2024
  • (2023)Recent Progress of Optical Imaging Approaches for Noncontact Physiological Signal Measurement: A ReviewAdvanced Intelligent Systems10.1002/aisy.2022003455:9Online publication date: 24-May-2023
  • (2019)Information Model Construction and State Analysis Strategy for Vital Signs of Power Network InspectorJournal of Physics: Conference Series10.1088/1742-6596/1213/4/0420301213(042030)Online publication date: 19-Jun-2019

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  1. A personalized model for monitoring vital signs using camera of the smart phone

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      cover image ACM Conferences
      SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
      March 2014
      1890 pages
      ISBN:9781450324694
      DOI:10.1145/2554850
      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].

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      Publication History

      Published: 24 March 2014

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      Author Tags

      1. heart rate
      2. noninvasive monitoring
      3. oxygen saturation
      4. perfusion index
      5. remote monitoring

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      • Research-article

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      • International Breast Cancer Research Foundation (IBCRF)

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      SAC 2014
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      SAC 2014: Symposium on Applied Computing
      March 24 - 28, 2014
      Gyeongju, Republic of Korea

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      SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
      Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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      The 40th ACM/SIGAPP Symposium on Applied Computing
      March 31 - April 4, 2025
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      Cited By

      View all
      • (2024)Design of Portable Non-contact Physiological Data Acquisition SystemProceedings of the 2024 7th International Conference on Software Engineering and Information Management10.1145/3647722.3647728(35-41)Online publication date: 23-Jan-2024
      • (2023)Recent Progress of Optical Imaging Approaches for Noncontact Physiological Signal Measurement: A ReviewAdvanced Intelligent Systems10.1002/aisy.2022003455:9Online publication date: 24-May-2023
      • (2019)Information Model Construction and State Analysis Strategy for Vital Signs of Power Network InspectorJournal of Physics: Conference Series10.1088/1742-6596/1213/4/0420301213(042030)Online publication date: 19-Jun-2019
      • (2017)The Fiction in Computer Science: A Qualitative Data Analysis of the ACM Digital Library for Traces of Star TrekAdvances in Usability and User Experience10.1007/978-3-319-60492-3_48(508-520)Online publication date: 24-Jun-2017

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