Evaluation of an Algorithm to Detect Sleep and Wake in Continuous Positive Airway Pressure (CPAP) (PBSW)
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|ClinicalTrials.gov Identifier: NCT01031914|
Recruitment Status : Completed
First Posted : December 15, 2009
Results First Posted : May 14, 2013
Last Update Posted : May 14, 2013
|Condition or disease||Intervention/treatment|
|Sleep Apnea, Obstructive||Device: Paced Breathing|
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||36 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Official Title:||Evaluation of an Algorithm to Detect Sleep and Wake in Continuous Positive Airway Pressure Users Using Paced Breathing|
|Study Start Date :||October 2009|
|Primary Completion Date :||September 2010|
|Study Completion Date :||September 2010|
Experimental: Paced Breathing Sleep/Wake detection
All subjects enrolled will have oobstructive sleep apnea (OSA) and will be current Continuous Positive Airway Pressur (CPAP) users.
Device: Paced Breathing
The Paced Breathing (PB) feature(when activated) will work to relax the user and help them fall asleep by encouraging them to take deep slow breaths until they reach 10 breaths (or less) per minute. The feature will also detect when the subject has fallen asleep so the Continuous Positive Airway Pressur (CPAP) device will automatically switch from PB mode to regular CPAP mode.
Other Name: Respironics
- Sleep/Wake Algorithm [ Time Frame: The performance of the algorithm will be evaluated in real time while the subject is wearing the device during the sleep study, an average of 08 hours. ]We tested the ability of the Sleep/Wake algorithm to identify sleep an wake periods with precision, as compared to standard polysonography (PSG) measures, which was used as the gold standard, i.e. we tested the accuracy of the algorithm. Accuracy was defined as the proportion of true results (both true positives and true negatives)in the population and it was assesed using as 2 X 2 table, i.e. accuracy = number of true positives + number of true negatives/ number of true positives + false positives + false negatives +true negatives. where True positive = the algorithm tested correctly identified sleep, False positive = the algorithm tested incorrectly identified sleep, True negative = the algorithm tested correctly rejected awake periods, and False negative = the algorithm tested incorrectly rejected awake periods.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01031914
|United States, Massachusetts|
|Boston, Massachusetts, United States, 02135|
|Principal Investigator:||David P White, M.D||Philips Respironics|