Estimating relative respiratory effort from features of photo-plethysmography signal

Ahsan H. Khandoker, Chandan K. Karmakar, Thomas Penzel, Martin Glos, Christoph Schoebel, M. Palaniswami

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The gold standard method for measuring respiratory effort (esophageal pressure measurement) is invasive, uncomfortable, and itself can disrupt sleep. As a consequence, majority of sleep studies use an alternate sensor, typically respiratory bands, which, however, do not measure respiratory effort. Typically they indicate changes in thoracic volume, and so are more a secondary sensor of respiratory movement rather than respiratory effort. In this study, we aim to look at how features extracted from finger Photo Plethysmogram (PPG) signals correlate with changes in esophageal pressure signal. Principle component analysis was used to derive the relative respiratory effort signals using pulse to pulse intervals, pulse wave amplitudes, area of pulse and wavelet decomposed band (0.15∼0.4 Hz) of PPG signals.

Original languageBritish English
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages6575-6578
Number of pages4
DOIs
StatePublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan
Duration: 3 Jul 20137 Jul 2013

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Country/TerritoryJapan
CityOsaka
Period3/07/137/07/13

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