Estimating respiratory rate from instantaneous frequencies of long term heart rate tracings

B. Pilgram, M. Di Rienzo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a method based on non-stationary state space modelling for the evaluation of the respiratory rate through the dynamical analysis of the instantaneous frequencies of heart-rate (HR). In practice, long term HR recordings are sequentially scanned by a sliding 20-sec window. Within each window, data are modelled using a singular value decomposition (SVD) based approach and the most important instantaneous frequencies, contained in the signals are estimated (the oscillation linked to the respiration is the 3rd lowest frequency). The presented method was tested by analysing 3 long term HR tracings (each lasting more than one hour) recorded in unrestrained subjects. Simultaneous direct recordings of the respiratory activity were performed and the data were used for comparing the algorithm performances. The obtained results indicate that the proposed algorithm is robust and efficient for the calculation of the instantaneous frequencies and may be a valuable tool for the estimation of the respiratory activity.

Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Pages859-862
Number of pages4
ISBN (Print)0818654708
Publication statusPublished - 1993
EventProceedings of the 1993 Conference on Computers in Cardiology - London, UK
Duration: Sep 5 1993Sep 8 1993

Other

OtherProceedings of the 1993 Conference on Computers in Cardiology
CityLondon, UK
Period9/5/939/8/93

ASJC Scopus subject areas

  • Software
  • Cardiology and Cardiovascular Medicine

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  • Cite this

    Pilgram, B., & Di Rienzo, M. (1993). Estimating respiratory rate from instantaneous frequencies of long term heart rate tracings. In Computers in Cardiology (pp. 859-862). Publ by IEEE.