IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v444y2016icp35-42.html
   My bibliography  Save this article

A spike correction approach for variability analysis of heart rate sick infants

Author

Listed:
  • Govindan, R.B.
  • Al-Shargabi, Tareq
  • Metzler, Marina
  • Andescavage, Nickie N.
  • Joshi, Radhika
  • du Plessis, Adré

Abstract

In critical care monitoring, the heart rate (HR) offers valuable insight into the autonomic function of sick infants. However, the intensity of monitoring and clinical care such as intubation, suctioning, and venesection as well as routine movement, create a hostile environment for contamination of continuous signals. These artifacts usually present as spikes in the HR signal, which interfere with the characterization and subsequent evaluation of the HR. Post hoc spike removal is commonly required in research studies but is not feasible in clinical monitoring. We propose a two-step process to correct spikes in HR data. Step 1 comprises of two sub-steps to remove the spikes with upward deflection and downward deflection. In Step 2, we repeat Step 1, for different ϵ values and calculate root mean square (RMS) of the difference between the uncorrected HR and the corrected HR. The corrected HR that displayed either the smallest RMS value or the same RMS values for two or more ϵ values is considered optimally corrected data. We demonstrate the application of this approach to HR data collected from 5 preterm infants. We show that there is a significant difference between the spectral powers obtained for spike uncorrected and spike corrected HR.

Suggested Citation

  • Govindan, R.B. & Al-Shargabi, Tareq & Metzler, Marina & Andescavage, Nickie N. & Joshi, Radhika & du Plessis, Adré, 2016. "A spike correction approach for variability analysis of heart rate sick infants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 35-42.
    • Handle: RePEc:eee:phsmap:v:444:y:2016:i:c:p:35-42
    DOI: 10.1016/j.physa.2015.10.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711500864X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2015.10.018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Govindan, R.B. & Al-Shargabi, Tareq & Andescavage, Nickie N. & Metzler, Marina & Lenin, R.B. & Plessis, Adré du, 2017. "Assessing statistical significance of phase synchronization index — An application to study baroreflex function in critically-ill infants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 331-337.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:444:y:2016:i:c:p:35-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.