Cerebra is excited to introduce the revolutionary auto-scoring system MY Autoscoring! MY Autoscoring analyzes the data collected during a polysomnogram (PSG) or a Level 2/Level 3 home sleep study. In addition to the conventional sleep stages, arousals, periodic movements, and respiratory events, it also provides a host of new microstructure features, including our proprietary sleep depth index Odd Ratio Product (ORP), to assist sleep professionals in diagnosing sleep disorders and performing original sleep research. It is named after its inventor Magdy Younes, MD, PhD, FRCPC.
- In a completely arms length study, results of MY Autoscoring agreed with the average scores of 10 academic RPSGTs, as well as, or better than, they agreed among themselves.
- MY Autoscoring allows laboratory personnel to review and edit the autoscoring on a proprietary viewer before accepting the scoring. This makes it possible to adequately review/edit a PSG in 5-15 minutes allowing more time to be spent with the patient.
- By accepting third-party studies, MY Autoscoring gives you the ability to score all levels of sleep study provided in EDF allowing for one standardized platform to be used.
- After approval of the scoring, MY Autoscoring generates easy to read reports that highlight the essential results. Customized reports are in development.
Type II study data collected using the Cerebra Sleep System
The Patented ORP Algorithm
MY Autoscoring uses Odds Ratio Product (ORP) to determine a patient’s sleep depth in each sleep stage.
- ORP identifies:
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- Full wakefulness vs. drowsy awake, better identifying mechanism of excessive wake time.
- Levels of sleep depth in stages N1, N2 and N3.
- Sleep depth in REM sleep, a revolutionary new metric.
- Abnormalities indicative of a sleep disorder when the patient's hypogram is normal using conventional metrics.
- OSA patients whose sleep may improve on CPAP as well as how likely a patient is to adhere to treatment.
- Insufficient/poor sleep from excessive sleep need as the mechanism of idiopathic hypersomnia.
Additional biomarkers for research include arousal intensity, heart rate response to arousals, micro-arousals, agreement in sleep depth between right and left hemispheres, normalized EEG power, change in sleep pressure across the night, spindle characteristics, and flow limitation index. Dozens of research studies have been published that highlight the potential clinical utility of these biomarkers.