The Accuracy of Atrial Fibrillation Detection from Wrist Photoplethysmography. A Study on Post-Operative Patients

Adrian Tarniceriu, Jarkko Harju, Zeinab Rezaei Yousefi, Antti Vehkaoja, Jakub Parak, Arvi Yli-Hankala, Ilkka Korhonen

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

    20 Citations (Scopus)
    41 Downloads (Pure)

    Abstract

    Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Although not life-threatening itself, AF significantly increases the risk of stroke and myocardial infarction. Current tools available for screening and monitoring of AF are inadequate and an unobtrusive alternative, suitable for long-term use, is needed. This paper evaluates an atrial fibrillation detection algorithm based on wrist photoplethysmographic (PPG) signals. 29 patients recovering from surgery in the post-anesthesia care unit were monitored. 15 patients had sinus rhythm (SR, 67.5± 10.7 years old, 7 female) and 14 patients had AF (74.8± 8.3 years old, 8 female) during the recordings. Inter-beat intervals (IBI) were estimated from PPG signals. As IBI estimation is highly sensitive to motion or other types of noise, acceleration signals and PPG waveforms were used to automatically detect and discard unreliable IBI. AF was detected from windows of 20 consecutive IBI with 98.45±6.89% sensitivity and 99.13±1.79% specificity for 76.34±19.54% of the time. For the remaining time, no decision was taken due to the lack of reliable IBI. The results show that wrist PPG is suitable for long term monitoring and AF screening. In addition, this technique provides a more comfortable alternative to ECG devices.

    Original languageEnglish
    Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    PublisherIEEE
    Pages4844-4847
    Number of pages4
    Volume2018-July
    ISBN (Electronic)978-1-5386-3646-6
    DOIs
    Publication statusPublished - 2018
    Publication typeA4 Article in conference proceedings
    EventAnnual International Conference of the IEEE Engineering in Medicine and Biology Society -
    Duration: 1 Jan 2019 → …

    Conference

    ConferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
    Period1/01/19 → …

    Publication forum classification

    • Publication forum level 1

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