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

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>

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

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10200 - Computer and information sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

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

Article name in the collection

Computing in Cardiology 2021

ISBN

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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