All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Respiratory Rate Estimation Using the Photoplethysmogram: Towards the Implementation in Wearables

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU142323" target="_blank" >RIV/00216305:26220/21:PU142323 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.cinc.org/archives/2021/pdf/CinC2021-015.pdf" target="_blank" >https://www.cinc.org/archives/2021/pdf/CinC2021-015.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.22489/CinC.2021.015" target="_blank" >10.22489/CinC.2021.015</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Respiratory Rate Estimation Using the Photoplethysmogram: Towards the Implementation in Wearables

  • Original language description

    Respiratory rate (RR) is one of the most important physiological parameters. In recent years, the RR estimation from PPGs widely used in smart devices has been promoted. The effect of respiration on PPGs manifests in three ways: BW (intensity variation), AM (amplitude variation), FM (frequency variation). In addition to sophisticated RR estimation methods, reliable results can be achieved with simple and efficient methods implementable in wearables. The BW signal (respiratory signal estimation, RS) can be obtained by linear filtering of the PPG. The RR estimation is based on BW extremes (sBW), BW autocorrelation extremes ( aBW) and their spectra (SBW, ABW). Estimation of the AM RS requires PPG extremes detection and interpolation. The RR estimation is based on extremes of the AM signal (sAM), its autocorrelation ( aAM) and their spectra (SAM, AAM). The fusion of RR estimates leads to more robust results. To test the algorithms, the annotated BIDMC and CapnoBase Datasets were used. RR estimates were made for 60 s sections. The simplest and the most accurate method for both datasets is the RR estimation based on sBW (RsBW). The median absolute error was 0.40 (0.16-1.09 interquartile range 25-75th) bpm for the 60s window, mean absolute error was 1.42 bpm.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computing in Cardiology 2021

  • ISBN

  • ISSN

    2325-887X

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    IEEE

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno

  • Event date

    Sep 12, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000821955000008