THE ONLY SLEEP HEADBAND DESIGNED FOR ACCURACY
ZMax is the only accurate sleep headband. It is trusted by renowned sleep science researchers all over Europe.
RESEARCH GRADE EEG SENSOR
Consumer oriented EEG headbands prioritize look and feel over signal accuracy.
Based on the scoring, a full sleep report is output. The sleep report includes common indicators such as
sleep onset latency, REM latency and sleep efficiency. It also includes spectrograms and charts.
LOW LATENCY REAL TIME DATA
Wireless transmission uses a proprietary protocol (not Bluetooth) to achieve a steady ultra-low 3.5ms latency.
Markers (annotations) allow you to mark portions of your recording. They can be point-like to mark precise time offsets, or range-like to highlight
sleep features. Markers can be saved in text format for later processing. Markers are useful
if you want to focus on specific sleep feature morphology, or if you want to store notes about sleep events, or mark questions to discuss with
Score your own data
The bundled HDScorer software can be used to open ZMax EDF files and score epochs with no restrictions. You can also import ZMax EDF files into other software packages for scoring.
Outsource manual scoring to us
Hypnodyne offers manual sleep scoring of ZMax data by qualified sleep technologists who are experienced with the precise montage and sensors used by ZMax. We can score even just one recording.
Hypnodyne offers an autoscoring service based on our proprietary phenotype detection and scoring algorithms, independently developed in 8 years
of research. Autoscored files also include a wealth of features
such as REMs, delta waves, k complexes, sleep spindles, sweat artifacts and more.
ZMax is able to stream data over the internet for real-time
monitoring of sleep. The peer to peer connection is established
in a way similar to Skype or Teamviewer. The remote patient can
either make or receive a network call. The ZMax software
includes provisions for opening router ports using UPnP when
WRITE YOUR OWN SOFTWARE
ZMax exposes a TCP/IP data socket. You can connect to this socket using any programming language (MATLAB, Python, PHP, C++, C#, Java, Visual Basic etc).
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