Unmatched reliability, super-fast turnaround time, future ready...
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One night of sleep record takes anywhere between 1.5 to 2.5 hours to score by an expert technologist. What if you could get hundreds of such records scored at expert level accuracy and higher reliability in seconds. In this world of ever increasing data - time and speed is everything!
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We just released a new version of our scorer (called NEO) which was built ground up from scratch using nearly 60,000 hours of PSG data collected from 4000+ subjects. Our new system beats our previously published (Patanaik et al., 2018, Sleep doi:10.1093/sleep/zsy041) results by 30 to 40% lower error rates.
Z3Score allows cutting-edge experiments that rely on real-time sleep stage information, like targetted memory reactivation, closed loop acoustic stimulation and lucid dreaming accessible to more researchers. Learn more about our pipeline.
We offer our service as a cloud based Open RESTful API, so we integrate into your existing software and workflow. There are no steep learning curves, take a look at the demo.
Each sleep scored epoch also has an associated confidence. A score between 0 and 10, you can set your confidence threshold to get your desired level of quality.
Figure below shows the percentage of data that is marked for review (bottom x-axis) for a corresponding confidence threshold value (top x-axis) and the automatic vs expert inter-rater reliability value for data that will not be reviewed (y-axis) for a representative dataset (more details will be published soon).
Our cloud architecture makes it exceptionally simple to score small or large PSG datasets with ease. We support your favourite PSG software, so that you can continue using your existing workflow. Watch this 10 min getting started guide to see it in action:
Go ahead and start scoring your PSG data using our utlities software. Or if you are a developer you can read our API documentation here.
Our system represents a significant improvement compared to the current state of the art and can bring considerable efficiency to your laboratories' or clinic's workflow and output.
We are NeuroBit Technologies, a group of experts in neuroscience, machine learning, signal processing and bio-electronics with a vision to enhance human cognition through integration of smart immersive technology with better physiological data analytics.
is an expert in machine learning and statistical modeling with applications to computational neuroscience and human factors. He has worked in the area of close loop acoustic stimulations to boost sleep and holds a patent to do real-time sleep staging at expert human level accuracy. Download CV.
is an expert in hardware design and bio-electronics. With a background in experimental physics, he has worked on cutting edge products that use physiological data to augment human abilities.
is the Director of the Centre for Cognitive Neuroscience and Principal Investigator of the Cognitive Neuroscience Laboratory at Duke-NUS Medical School. The Z3Score framework was developed at his Laboratory after extensive R&D spanning across 3 years. With over 180 peer reviewed publications and over 8000 citations, he is a leading expert in the field of sleep and cognition. More Info...
If you are interested in test driving our system, please send in your request to contact@neurobit.io.
We use patent pending, state of the art deep-learning algorithms instead of hard coded rules. Which means our system adapts and improves with more and more data. If you are interested in investing or licensing our technology, please get in touch. Send in your queries to contact@neurobit.io
+65-9062-3184
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