Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise

Delaram Jarchi, Alex Casson

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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    Abstract

    This paper presents a new method for estimating the average heart rate from a foot/ankle worn photoplethysmography (PPG) sensor during fast bike activity. Placing the PPG sensor on the lower half of the body allows more energy to be collected from energy harvesting in order to give a power autonomous sensor node, but comes at the cost of introducing significant motion interference into the PPG trace. We present a normalised least mean square adaptive filter and short-time Fourier transform based algorithm for estimating heart rate in the presence of this motion contamination. Results from 8 subjects show the new algorithm has an average error of 9 beats-per-minute when compared to an ECG gold standard.
    Original languageEnglish
    Title of host publicationIEEE Engineering in Medicine and Biology Society Conference Proceedings 2016
    PublisherIEEE
    DOIs
    Publication statusPublished - 2016
    Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Disney's Contemporary Resort, Orlando, Florida, United States
    Duration: 16 Aug 201620 Aug 2016
    http://embc.embs.org/2016/

    Conference

    Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Abbreviated titleEMBC'16
    Country/TerritoryUnited States
    CityOrlando, Florida
    Period16/08/1620/08/16
    Internet address

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