Nox Research - Nox Medical

Clinical & Data Scientists Advancing Sleep Medicine

Nox Research is a dedicated team of scientists working within Nox Medical on advancing sleep medicine by bringing together the latest developments in engineering, specifically data science and AI, with medicine. We collaborate with academic scientists, and focus on collaborative research projects which may change sleep medicine in the future.

Our research projects have received funding from the European Union’s Horizon 2020 Research & Innovation Programme, Eurostars Funding and the Icelandic Technology Development Fund.

Research Posters and Other Publications

Nox Research regularly presents its work at international conferences in the field of sleep medicine, AI, and data science.

Automatic Detection of Respiratory Effort Related Arousals Using Recurrent Neural Network - 2018

Automatic Detection of Cortical Arousals Using Recurrent Neural Networks - SLEEP 2019

End-to-end machine learning on raw EEG signals for sleep stage classification - World Sleep 2019

Respiratory inductance plethysmography for the reliable assessment of ventilation and sleep apnea phenotypes in the presence of oral breathing - World Sleep 2019

BodySleep: Estimating sleep states from respiration and body movements - World Sleep 2019

ResTNet: A robust end-to-end deep learning approach to sleep staging of Self Applied Somnography studies - SLEEP 2020

A novel method of detecting the ballistocardiography from respiratory inductance plethysmography signals recorded during sleep - ESRS 2020

A Novel Deep Learning AI Method for Estimating Wake, NREM, and REM Sleep from Breathing and Actigraphy - SLEEP 2022

AI Powered Arousal Scoring for Polysomnography and Self-Applied-Somnography Sleep Studies - ESRS 2022

A Novel Deep Learning AI Method for Estimating Wake, NREM, and REM Sleep States Using Breathing and Activity - ESRS 2022

Improving AHI Scoring Accuracy from HSAT with AI

Improving AHI Scoring Accuracy Using an AI Model for Sleep State Classification from Home Sleep Apnea Testing - Nordic Sleep 2023

Accurate Sleep Stage Classification with Deep Learning

Accurate Sleep Stage Classification Using Robust End-to-End Deep Learning Approach for PSG Studies with Frontal EEG - Nordic Sleep 2023

PSG Sleep Scorer with Arousal Predictions

Deep Learning-Based Sleep and Arousal Detection in Polysomnography Data - SLEEP 2023

Predicting Sleep Arousals in Home Sleep Apnea Tests Using Artificial Intelligence - SLEEP 2023

Epoch-level Agreement of Manual Sleep Stage and Arousal Scoring using a Reduced Montage versus Conventional Polysomnography - SLEEP 2024

Comparing adherence for a prescription digital therapeutic for insomnia across controlled and real-world settings - SLEEP 2024

Artificial Intelligence to predict arousals in Home Sleep Testing without Electroencephalography - SLEEP 2024

Preliminary validation results: Improving AHI scoring accuracy using an AI model for Sleep state and arousal classification from Home Sleep Apnea Testing - World Sleep 2023

Evaluating the feasibility of out-of-center sleep testing (OCST), level II polysomnography (PSG) - The experience of a Canadian service provider - World Sleep 2023

Team of Clinical and Data Scientists

We at Nox Medical fully embrace our mission to advance sleep diagnostics through our continued efforts and investment in research. Nox Research is a team of scientists with a background in clinical research, AI and data science, and engineering who are working to improve the collection, analysis, and processing of data collected during a sleep study.

We actively encourage independent research to ensure that we get unbiased opinions on our solutions. We are confident in our products and realize that unbiased, peer-reviewed publications are important for clinicians to gain the same confidence as we have. Our research efforts have delivered both technical innovations and true clinical value.

Meet the Team

Research & Publications Using Nox Medical Solutions

The following list compiles selected publications where solutions from Nox Medical were used as a part of the protocol.

Year	Publications

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Nox BodySleep™️

The Nox BodySleep* utilizes Artificial Intelligence, AI, intended to differntiate 30-second epochs into the REM and NREM sleep states, and Wakefulness. Nox BodySleep technlogy estimates sleep states by processing respiratory data through advanced algorithms utilizing Nox calibrated RIP technlogy. *Nox BodySleep is not available in the U.S.

Funding Partners

Our research projects have been funded by competitive funding.