Investigating relative respiratory effort signals during mixed sleep apnea using photoplethysmogram

Khandoker, AH, Karmakar, Chandan K, Penzel, T, Glos, M and Palaniswami, M 2013, Investigating relative respiratory effort signals during mixed sleep apnea using photoplethysmogram, Annals of biomedical engineering, vol. 41, no. 10, pp. 2229-2236, doi: 10.1007/s10439-013-0827-1.

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Title Investigating relative respiratory effort signals during mixed sleep apnea using photoplethysmogram
Author(s) Khandoker, AH
Karmakar, Chandan KORCID iD for Karmakar, Chandan K
Penzel, T
Glos, M
Palaniswami, M
Journal name Annals of biomedical engineering
Volume number 41
Issue number 10
Start page 2229
End page 2236
Total pages 8
Publisher Springer
Place of publication New York, N.Y.
Publication date 2013-10
ISSN 0090-6964
Keyword(s) Sleep disordered breathing (SDB)
Esophageal pressure
Obstructive sleep apnea (OSA),
Mixed sleep apnea (MSA)
Summary Sleep disordered breathing does show different types of events. These are obstructive apnea events, central apnea events and mixed sleep apnea (MSA) which have a central component with a pause in airflow without respiratory effort followed by an obstructive component with respiratory effort. The esophageal pressure (Pes) is the accurate method to assess respiratory effort. The aim of the present study is to investigate whether the features extracted from photo-plethysmogram (PPG) could relate with the changes in Pes during MSA. Therefore, Pes and PPG signals during 65 pre-scored MSA events and 10 s preceding the events were collected from 8 patients. Pulse intervals (PPI), Pulse wave amplitudes (PWA) and wavelet decomposition (Wv) of PPG signals at level 8 (0.15-0.32 Hz) were derived from PPG signals. Results show that significant correlations (r = 0.63, p < 0.01; r = 0.42, p < 0.05; r = 0.8, p < 0.01 for OSA part) were found between reductions in Pes and that in PPG based surrogate respiratory signals PPI, PWA and Wv. Results suggest that PPG based relative respiratory effort signal can be considered as an alternative to Pes as a means of measuring changes in inspiratory effort when scoring OSA and CSA parts of MSA events.
Language eng
DOI 10.1007/s10439-013-0827-1
Field of Research 080109 Pattern Recognition and Data Mining
090304 Medical Devices
090609 Signal Processing
11 Medical And Health Sciences
09 Engineering
Socio Economic Objective 920203 Diagnostic Methods
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2013, Biomedical Engineering Society
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