scholarly journals Rules for Scoring Respiratory Events in Sleep: Update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events

2012 ◽  
Vol 08 (05) ◽  
pp. 597-619 ◽  
Author(s):  
Richard B. Berry ◽  
Rohit Budhiraja ◽  
Daniel J. Gottlieb ◽  
David Gozal ◽  
Conrad Iber ◽  
...  
Keyword(s):  
Respiratory Events ◽  
Aasm Manual

scholarly journals Detecting Apnea/Hypopnea Events Time Location from Sound Recordings for Patients with Severe or Moderate Sleep Apnea Syndrome

2021 ◽  
Vol 11 (15) ◽  
pp. 6888
Author(s):  
Georgia Korompili ◽  
Lampros Kokkalas ◽  
Stelios A. Mitilineos ◽  
Nicolas-Alexander Tatlas ◽  
Stelios M. Potirakis
Keyword(s):  
Sleep Apnea ◽  
Sleep Apnea Syndrome ◽  
Apnea Hypopnea Index ◽  
Event Time ◽  
Severity Estimation ◽  
Apnea Duration ◽  
Respiratory Events ◽  
Moderate Sensitivity ◽  
Apnea Syndrome

The most common index for diagnosing Sleep Apnea Syndrome (SAS) is the Apnea-Hypopnea Index (AHI), defined as the average count of apnea/hypopnea events per sleeping hour. Despite its broad use in automated systems for SAS severity estimation, researchers now focus on individual event time detection rather than the insufficient classification of the patient in SAS severity groups. Towards this direction, in this work, we aim at the detection of the exact time location of apnea/hypopnea events. We particularly examine the hypothesis of employing a standard Voice Activity Detection (VAD) algorithm to extract breathing segments during sleep and identify the respiratory events from severely altered breathing amplitude within the event. The algorithm, which is tested only in severe and moderate patients, is applied to recordings from a tracheal and an ambient microphone. It proves good sensitivity for apneas, reaching 81% and 70.4% for the two microphones, respectively, and moderate sensitivity to hypopneas—approx. 50% were identified. The algorithm also presents an adequate estimator of the Mean Apnea Duration index—defined as the average duration of the detected events—for patients with severe or moderate apnea, with mean error 1.7 s and 3.2 s for the two microphones, respectively.

Mild to Moderate Sleep Respiratory Events

CHEST Journal ◽  
2000 ◽  
Vol 118 (2) ◽  
pp. 353-359 ◽  
Author(s):  
Olivier Le Bon ◽  
Guy Hoffmann ◽  
Juan Tecco ◽  
Luc Staner ◽  
André Noseda ◽  
...  
Keyword(s):  
Respiratory Events

scholarly journals Respiratory events in ward are associated with later intensive care unit (ICU) admission and hospital mortality in onco-hematology patients not admitted to ICU after a first request

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0181808 ◽  
Author(s):  
Laure Doukhan ◽  
Magali Bisbal ◽  
Laurent Chow-Chine ◽  
Antoine Sannini ◽  
Jean Paul Brun ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Icu Admission ◽  
Respiratory Events

Temporal coordination of pharyngeal and laryngeal dynamics with breathing during swallowing: single liquid swallows

2003 ◽  
Vol 94 (5) ◽  
pp. 1735-1743 ◽  
Author(s):  
Bonnie Martin-Harris ◽  
Martin B. Brodsky ◽  
Christina Clare Price ◽  
Yvonne Michel ◽  
Bobby Walters
Keyword(s):  
Frequency Of Occurrence ◽  
Temporal Coordination ◽  
Respiratory Events ◽  
Respiratory Phase

The critical integration of timing and patterning between respiratory and swallowing events was studied with simultaneous videofluoroscopic and respiratory recording during single liquid swallows. Respiratory phase patterns and the onsets and durations of 12 predetermined swallowing events and associated respiratory activities were studied. Results showed four highly repeatable, temporally oriented sequences (clusters) of swallowing and related respiratory events. Two respiratory phase patterns were identified without statistically significant differences in frequency of occurrence between age, gender, or race. These findings will aid in the identification of normal and abnormal patterns of breathing and swallowing in patients with dysphagia.

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