Nox Medical

Statement

Nox Academy The Nox Academy is intended to help our customers unleash the full potential of their Nox Medical products. Below you will find video training material. Starting with the essentials of operating Nox products and going into the tips and tricks of adapting the systems to your processes. Nox Medical

Our Files

View

View

View

View

View

Our Videos

Nox A1

NOX T3

Nox T3 Setup Guide with Noxturnal 5

How to Create Custom Recording Types and Device Profiles for Nox T3 with Noxturnal 5

How to Reset the Nox T3

Interfacing CPAP with the Nox T3

Hookup Instructions: Scheduled Start

Hookup Instructions: Manual Start

Nox A1 Setup Guide with Noxturnal 5

Nox C1 Setup Guide with Noxturnal 5

How to Create Custom Recording Types and Device Profiles for Nox A1 with Noxturnal 5

Happy Boy in Full PSG

How to Install Noxturnal Software

Noxturnal 6.0 - New Features

Noxturnal Default Settings

Initial Software Configuration

Respiratory Event Scoring

Noxturnal Sleep Staging and Scoring

Physician Review and Interpretation

Reports in Noxturnal

Noxturnal Custom Fields

Noxturnal Bookmarks

Creating Signal Layouts / Workspace Layouts

Record Management in Noxturnal

RIP Phase Channel

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.

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

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

BodySleep: Estimating sleep states from respiration and body movements

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

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

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

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. Nox Medical

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
2017
Validation of the Nox-T3 portable monitor for diagnosis of obstructive sleep apnea in Chinese adults Xu , Liyue , et al. • Journal of Clinical Sleep Medicine , (2017)
2019
Evaluation of the feasibility and preference of Nox-A1 type 2 ambulatory device for unattended home sleep test: a randomized crossover study Yoon , D. W. , Hong , I.-H. , Baik , I. , & Shin , H.-W. • Sleep and Biological Rhythms, (2019)
2014
2019
2018
Home sleep apnea testing: comparison of manual and automated scoring across international sleep centers Magalang , U. J. , Johns , J. N. , Wood , K. et al. • Sleep and Breathing, (2018)
2018
Automatic Detection of Target Regions of Respiratory Effort-Related Arousals Using Recurrent Neural Networks Þráinsson , Heiðar Már , et al. • Computing in Cardiology Conference (CinC), (2018)
2017
Sleep disordered breathing in enuretic children and controls Ring , Ingrid Jönson , et al. • Journal of Pediatric Urology, (2017)
2016
How to measure snoring? A comparison of the microphone, cannula and piezoelectric sensor. Arnardottir , Erna S. , et al. • Journal of Sleep Research, (2016)
2017
Diagnostic accuracy of nasal cannula versus microphone for detection of snoring Pérez‐Warnisher , María Teresa , et al. • The Laryngoscope, (2017)

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.