research-article

A Photoplethysmograph Based Practical Heart Rate Estimation Algorithm for Wearable Platforms

Authors:

Shalini Mukhopadhyay,

Arpan PalAuthors Info & Claims

WearSys '17: Proceedings of the 2017 Workshop on Wearable Systems and Applications

Pages 23 - 28

https://doi.org/10.1145/3089351.3089354

Published: 19 June 2017 Publication History

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Abstract

We propose a practical Heart Rate Estimation algorithm utilizing wrist-based photoplethysmography (PPG) signals for continuous health monitoring of crane workers who spend long hours in an isolated cabin in the harsh factory environment. Our novelty lies in devising a low footprint algorithm that can reliably estimate Heart Rate in presence of motion artefact as well as offers the feasibility of deploying on a wearable platform. More particularly, our solution addresses two fundamental issues: a) correcting weak wrist PPG signal from frequent motion artefacts and b) identifying signal processing techniques that can be practically implemented on an embedded platform with limited resources in terms of memory and CPU. Experimental results demonstrate the validity of such algorithm and exhibit a great potential to be employed in the real field.

References

[1]

N. Ahmed and et.al. Feasibility analysis for estimation of blood pressure and heart rate using a smart eye wear. In Workshop on Wearable Systems and Applications, WearSys '15. ACM, 2015.

Digital Library

Google Scholar

[2]

A. Bacà and et.al. Carma: A robust motion artifact reduction algorithm for heart rate monitoring from ppg signals. In 23rd European Signal Processing Conference, Aug 2015.

Crossref

Google Scholar

[3]

C. L. Cooper and M. Kelly. Stress among carne operators. Journal of Occupational and Environmental Medicine, 26(8):575--578, 1984.

Crossref

Google Scholar

[4]

P. Gibbs and H. H. Asada. Reducing motion artifact in wearable bio-sensors using mems accelerometers for active noise cancellation. In American Control Conference, June 2005.

Google Scholar

[5]

B. S. Kim and S. K. Yoo. Motion artifact reduction in photoplethysmography using independent component analysis. IEEE Transactions on Biomedical Engineering, March 2006.

Crossref

Google Scholar

[6]

M. Raghuram and et.al. Evaluation of wavelets for reduction of motion artifacts in photoplethys-\\mographic signals. In 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Google Scholar

[7]

M. I. Skolnik. Introduction to Radar Systems. Tata McGraw Hill, 2003.

Google Scholar

[8]

Z. Zhang and et.al. Troika: A general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise. IEEE Transactions on Biomedical Engineering, Feb 2015.

Crossref

Google Scholar

Cited By

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Banerjee TGavas RBS MKarmakar SRamakrishnan RPal A(2022)Design of a Realtime Photoplethysmogram Signal Quality Checker for Wearables and Edge Computing2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC48229.2022.9871741(1323-1326)Online publication date: 11-Jul-2022
https://doi.org/10.1109/EMBC48229.2022.9871741
Ahmed NBhattacharyya CGhose A(2021)A Novel Non-Parametric Approach Of Tremor Detection Using Wrist-Based Photoplethysmograph2020 28th European Signal Processing Conference (EUSIPCO)10.23919/Eusipco47968.2020.9287346(1150-1154)Online publication date: 24-Jan-2021
https://doi.org/10.23919/Eusipco47968.2020.9287346
Ahmed NSharma VChowdhury AMukhopadhyay SGhose AHarle RFarrahi KLane N(2019)A weiner filter based robust algorithm for estimation of heart rate from wrist based photoplethysmogramAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3344837(1150-1153)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341162.3344837
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Index Terms

A Photoplethysmograph Based Practical Heart Rate Estimation Algorithm for Wearable Platforms
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor applications and deployments
    2. Signal processing systems
      1. Noise reduction
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies

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WearSys '17: Proceedings of the 2017 Workshop on Wearable Systems and Applications

June 2017

60 pages

ISBN:9781450349598

DOI:10.1145/3089351

Program Chairs:
Mi Zhang
Michigan State University, USA
,
Ashwin Ashok
Georgia State University, 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: 19 June 2017

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MobiSys'17

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SIGMOBILE

MobiSys'17: The 15th Annual International Conference on Mobile Systems, Applications, and Services

June 19, 2017

New York, Niagara Falls, USA

Acceptance Rates

WearSys '17 Paper Acceptance Rate 9 of 9 submissions, 100%;

Overall Acceptance Rate 28 of 36 submissions, 78%

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Cited By

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Banerjee TGavas RBS MKarmakar SRamakrishnan RPal A(2022)Design of a Realtime Photoplethysmogram Signal Quality Checker for Wearables and Edge Computing2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC48229.2022.9871741(1323-1326)Online publication date: 11-Jul-2022
https://doi.org/10.1109/EMBC48229.2022.9871741
Ahmed NBhattacharyya CGhose A(2021)A Novel Non-Parametric Approach Of Tremor Detection Using Wrist-Based Photoplethysmograph2020 28th European Signal Processing Conference (EUSIPCO)10.23919/Eusipco47968.2020.9287346(1150-1154)Online publication date: 24-Jan-2021
https://doi.org/10.23919/Eusipco47968.2020.9287346
Ahmed NSharma VChowdhury AMukhopadhyay SGhose AHarle RFarrahi KLane N(2019)A weiner filter based robust algorithm for estimation of heart rate from wrist based photoplethysmogramAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3344837(1150-1153)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341162.3344837
Ahmed NMukhopadhyay SSharma VGhose A(2019)Heart Rate Estimation Algorithm From Wrist-based Photoplethysmogram Using Subspace Learning Method2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2019.8730797(145-150)Online publication date: Mar-2019
https://doi.org/10.1109/PERCOMW.2019.8730797
Jaiswal DGhose AMuralidharan K(2018)Continuous Activity Recognition Using Smart WatchesProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3267681(662-665)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3267681
Jaiswal DGigie AChakravarty TGhose AMisra AJansen KAshok A(2018)Table of interestProceedings of the 4th ACM Workshop on Wearable Systems and Applications10.1145/3211960.3211976(39-44)Online publication date: 10-Jun-2018
https://dl.acm.org/doi/10.1145/3211960.3211976
Chandel VMukhopadhyay SJaiswal DJani DKhandelwal SPal A(2017)C2PProceedings of the First International Workshop on Human-centered Sensing, Networking, and Systems10.1145/3144730.3144732(19-24)Online publication date: 5-Nov-2017
https://dl.acm.org/doi/10.1145/3144730.3144732
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
https://doi.org/10.1109/GWS.2017.8300498

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Recommendations

Complex Analysis of Heart Rate on Obstructive Sleep Apnea using Fuzzy Approximate Entropy

Investigation of photoplethysmmographic signals and arterial blood oxygen saturation values (SpO2) during blood pressure cuff-induced hypoperfusion

Personal Wearable Devices to Measure Heart Rate Variability: A Framework of Cloud Platform for Public Health Research

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Investigation of photoplethysmmographic signals and arterial blood oxygen saturation values (SpO₂) during blood pressure cuff-induced hypoperfusion