A pilot study of the nocturnal respiration rates in COPD patients in the home environment using a non-contact biomotion sensor

Tarig  Ballal, Conor  Heneghan, Alberto  Zaffaroni, Patricia  Boyle, Philip de Chazal, Redmond  Shouldice, Walter T.  McNicholas, Seamas C. Donnelly

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Nocturnal respiration rate parameters were collected from 20 COPD subjects over an 8 week period, to determine if changes in respiration rate were associated with exacerbations of COPD. These subjects were primarily GOLD Class 2 to 4, and had been recently discharged from hospital following a recent exacerbation. The respiration rates were collected using a non-contact radio-frequency bio-motion sensor which senses respiratory effort and body movement using a short-range radio-frequency sensor. An adaptive notch filter was applied to the measured signal to determine respiratory rate over rolling 15 s segments. The accuracy of the algorithm was initially verified using ten manually-scored 15 min segments of respiration extracted from overnight parallelograms. The calculated respiration rates were within 1 breath min−1 for >98% of the estimates. For the 20 subjects monitored, 11 experienced one or more subsequent exacerbation of COPD (ECOPD) events during the 8 week monitoring period (19 events total). Analysis of the data revealed a significant increase in nocturnal respiration rate (e.g. >2 breath min−1) prior to many ECOPD events. Using a simple classifier of a change of 1 breath min−1 in the mode of the nocturnal respiration rate, a predictive rule showed a sensitivity of 63% and specificity of 85% for predicting an exacerbation within a 5 d window. We conclude that it is possible to collect respiration rates reliably in the home environment, and that the respiration rate may be a potential indicator of change in clinical status.
    Original languageEnglish
    Pages (from-to)2513-2527
    Number of pages15
    JournalPhysiological Measurement
    Volume35
    Issue number12
    DOIs
    Publication statusPublished - 2014

    Open Access - Access Right Statement

    © Authors Physiological Measurement. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence

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