research-article

Feasibility Analysis for Estimation of Blood Pressure and Heart Rate using A Smart Eye Wear

Authors:

Nasimuddin Ahmed,

Rohan Banerjee,

Avik Ghose,

Arijit SinharayAuthors Info & Claims

WearSys '15: Proceedings of the 2015 workshop on Wearable Systems and Applications

Pages 9 - 14

https://doi.org/10.1145/2753509.2753511

Published: 18 May 2015 Publication History

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Abstract

The major issue with hypertension is the fact that it does not have any symptoms also measurements are highly variable in nature. However, high blood pressure has severe effects on a person's health. This poses a requirement for continuous blood pressure monitoring and analysis of people suffering from chronic condition. In this paper we propose PPG based continuous blood pressure and heart rate monitoring system in form factor of a Smart Eye wear. We do a feasibility analysis of the idea and show that it is possible to determine blood pressure and heart rate by sensing PPG from the side of head region (temple) where a spectacle frame would fit. The advantage of Smart Eye Wear over other wearable device is that it provides better contact, minimal motion artifact and maintains uniform pressure without causing any trouble to user.

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Boudiaf AAl-Amodi AAlfahl ABonny TAl Nassan W(2024)An eye tracking system for controlling home devicesReal-time Processing of Image, Depth, and Video Information 202410.1117/12.3028926(29)Online publication date: 20-Jun-2024
https://doi.org/10.1117/12.3028926
Kawakami KSumitomo KKanno AOgawa TMinami SHaseyama M(2021)A Proposal and Evaluation of a New Method Incorporating Indicators of Blood Flow and Resistance to Improve the Accuracy of Continuous Blood Pressure Estimation Using PPG光電容積脈波による連続血圧推定における血流の流量と抵抗指標を用いた精度向上方式の提案と評価IEEJ Transactions on Sensors and Micromachines10.1541/ieejsmas.141.186141:6(186-196)Online publication date: 1-Jun-2021
https://doi.org/10.1541/ieejsmas.141.186
Zhang YGu TLuo CKostakos VSeneviratne A(2018)FinDroidHRProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31917882:1(1-42)Online publication date: 26-Mar-2018
https://dl.acm.org/doi/10.1145/3191788
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Index Terms

Feasibility Analysis for Estimation of Blood Pressure and Heart Rate using A Smart Eye Wear
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Embedded software
      2. Real-time systems software

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Published In

WearSys '15: Proceedings of the 2015 workshop on Wearable Systems and Applications

May 2015

68 pages

ISBN:9781450335003

DOI:10.1145/2753509

Program Chairs:
Ashwin Ashok
Carnegie Mellon University, USA
,
Jie Liu
Microsoft Research, USA
,
Suman Banerjee
University of Wisconsin-Madison, USA

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 ACM 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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Association for Computing Machinery

New York, NY, United States

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Published: 18 May 2015

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MobiSys'15

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SIGMOBILE

MobiSys'15: The 13th Annual International Conference on Mobile Systems, Applications, and Services

May 18, 2015

Florence, Italy

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WearSys '15 Paper Acceptance Rate 14 of 18 submissions, 78%;

Overall Acceptance Rate 28 of 36 submissions, 78%

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Boudiaf AAl-Amodi AAlfahl ABonny TAl Nassan W(2024)An eye tracking system for controlling home devicesReal-time Processing of Image, Depth, and Video Information 202410.1117/12.3028926(29)Online publication date: 20-Jun-2024
https://doi.org/10.1117/12.3028926
Kawakami KSumitomo KKanno AOgawa TMinami SHaseyama M(2021)A Proposal and Evaluation of a New Method Incorporating Indicators of Blood Flow and Resistance to Improve the Accuracy of Continuous Blood Pressure Estimation Using PPG光電容積脈波による連続血圧推定における血流の流量と抵抗指標を用いた精度向上方式の提案と評価IEEJ Transactions on Sensors and Micromachines10.1541/ieejsmas.141.186141:6(186-196)Online publication date: 1-Jun-2021
https://doi.org/10.1541/ieejsmas.141.186
Zhang YGu TLuo CKostakos VSeneviratne A(2018)FinDroidHRProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31917882:1(1-42)Online publication date: 26-Mar-2018
https://dl.acm.org/doi/10.1145/3191788
Datta SChoudhury AChowdhury ABanerjee TBanerjee RBhattacharya SPal AMandana K(2017)Novel Statistical Post Processing to Improve Blood Pressure Estimation from Smartphone PhotoplethysmogramProceedings of the First International Workshop on Human-centered Sensing, Networking, and Systems10.1145/3144730.3144737(31-36)Online publication date: 5-Nov-2017
https://dl.acm.org/doi/10.1145/3144730.3144737
Mukhopadhyay SAhmed NJaiswal DSinharay AGhose AChakravarty TPal AZhang MAshok A(2017)A Photoplethysmograph Based Practical Heart Rate Estimation Algorithm for Wearable PlatformsProceedings of the 2017 Workshop on Wearable Systems and Applications10.1145/3089351.3089354(23-28)Online publication date: 19-Jun-2017
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Ahmed NChowdhury ASinharay AMukhopadhyay SGhose AChakravarty T(2017)A personalized on-line calibration for photoplethysmograph based wrist wearable sensor2017 Global Wireless Summit (GWS)10.1109/GWS.2017.8300498(1-5)Online publication date: Oct-2017
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Jain MDeb SSubramanyam A(2016)Face video based touchless blood pressure and heart rate estimation2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP.2016.7813389(1-5)Online publication date: Sep-2016
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Jain MKumar NDeb SMajumdar A(2016)A sparse regression based approach for cuff-less blood pressure measurement2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP.2016.7471783(789-793)Online publication date: Mar-2016
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Jain MKumar NDeb S(2016)An affordable cuff-less blood pressure estimation solution2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2016.7591922(5294-5297)Online publication date: Aug-2016
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Blood Pressure Estimation Neural Network using Large Kernel Convolutional Attention

Non-invasive cuff free blood pressure and heart rate measurement from photoplethysmography (PPG) signal using machine learning

Heart rate variability virtual sensor application in blood pressure assessment system

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