Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.

A new method using autoregressive modelling and pole tracking is proposed to detect cyclical activity within the oxygen saturation signal, SpO2, for subjects with obstructive sleep apnoea (OSA). OSA is a sleep condition whereby the upper airway is obstructed and a cessation in respiration (apnoea) o...

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Main Authors: Lazareck, L, Tarassenko, L
Format: Journal article
Language:English
Published: 2006
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author Lazareck, L
Tarassenko, L
author_facet Lazareck, L
Tarassenko, L
author_sort Lazareck, L
collection OXFORD
description A new method using autoregressive modelling and pole tracking is proposed to detect cyclical activity within the oxygen saturation signal, SpO2, for subjects with obstructive sleep apnoea (OSA). OSA is a sleep condition whereby the upper airway is obstructed and a cessation in respiration (apnoea) occurs. The three types of detected activity include: apnoea, mix, and normal breathing, where mix, refers to breathing with a low-frequency component. Overall classifications produced by the analysis are in close agreement with expert scoring of the database. Furthermore, the pole-zero analysis method allows, for the first time, the mix sections to be identified automatically.
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spelling oxford-uuid:820f212f-fde4-4724-baf3-d9efd4cdad942022-03-26T21:34:43ZDetection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:820f212f-fde4-4724-baf3-d9efd4cdad94EnglishSymplectic Elements at Oxford2006Lazareck, LTarassenko, LA new method using autoregressive modelling and pole tracking is proposed to detect cyclical activity within the oxygen saturation signal, SpO2, for subjects with obstructive sleep apnoea (OSA). OSA is a sleep condition whereby the upper airway is obstructed and a cessation in respiration (apnoea) occurs. The three types of detected activity include: apnoea, mix, and normal breathing, where mix, refers to breathing with a low-frequency component. Overall classifications produced by the analysis are in close agreement with expert scoring of the database. Furthermore, the pole-zero analysis method allows, for the first time, the mix sections to be identified automatically.
spellingShingle Lazareck, L
Tarassenko, L
Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.
title Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.
title_full Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.
title_fullStr Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.
title_full_unstemmed Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.
title_short Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.
title_sort detection of apnoeic and breathing activity through pole zero analysis of the spo2 signal
work_keys_str_mv AT lazareckl detectionofapnoeicandbreathingactivitythroughpolezeroanalysisofthespo2signal
AT tarassenkol detectionofapnoeicandbreathingactivitythroughpolezeroanalysisofthespo2signal