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vwboy

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23/02/19

11:25

Post #: 37540907
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Originally posted by vwboy ↑

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January 2019: Snore sound based Sleep Apnea diagnostics intellectual property developed by Dr. Udantha Abeyratne and his team are available for commercialisation. The technology is the culmination of 20 years of ground breaking work leading to four patent applications including two granted ones in the USA (the rest are under examination at various stages) and a large portfolio of peer reviewed publications in international scholarly journals. A Matlab implementation of technology and performance comparions against American Academy of Sleep Medicine scoring critera of 2007 (AASM 2007) are available. Prior comparisons on Chicago Criteria ("AASM 1999") are also available via peer-reviewed literature. Our software models indicate that the technology can diagnose sleep apnea at a sensitivity and specificity approching that of a standard facility-based polysomnography (sensitivity, specificity around 90%, 90%-- cross validation studies). Note that the model development data sets available to us had been scored per AASM 2007 clinical criteria. Thus, the resulting models require a straight-forward re-training (re-calibration) process on AASM 2012 data before they can be used on subjects diagnosed under AASM 2012 criteria (which is the clinical scoring standard in effect since 2012

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Hardly been an overnight success. Looks a lot younger here.

Micro Structure Analysis Of Snore Signals For the Characterization of Upper Airways During Sleep (2004–2006)
Grant type:
UQ Early Career Researcher
Researchers:

Associate Professor Udantha Abeyratne
Associate Professor
School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology

Funded by:
University of Queensland
RAP Price at posting: 8.6¢ Sentiment: Buy Disclosure: Held
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