SOLUTION FOR RESEARCHERS

Find out how the Mindpax system
could help your research!

The Mindpax system was originally developed for long-term data collection in psychiatry. However, its versatility made it useful in other field of medicine such as somnology, neurology and pneumology.
It enables long-term collection of objective (activity, sleep) and subjective (questionnaires, medication, events) data. Immediately after being sent out it is available on a web portal, in both its raw form and the form of pre-selected parameters already calculated.

Wide use

It is able to monitor physical activity and sleep in the long run, and also to collect a subjective assessment of their condition with the help of selected questionnaires.

Intuitive

The data can be transferred silently to a server where you can either download it as a researcher in rough form or as an aggregate of the research parameters you want.

Certified

The Mindpax Monitoring Research System is certified for CE class I and validated with polysomnographs in the laboratory.

Safe

Data security is ensured by Microsoft’s Azure servers that work with the highest security standards for data protection.

Let us know if you are interested in trying the Mindpax system for your research!


Factsheets – download factsheets to get more information about Mindpax

Technical specifications 

Validation against MotionWatch

Examples of published research papers

Analysis of actigraph parameters for relapse prediction in bipolar disorder: a feasibility study. Novák D, Albert F, Španiel F. Conf Proc IEEE Eng Med Biol Soc. 2014

Effectiveness of the information technology-aided program of relapse prevention in schizophrenia (ITAREPS): a randomized, controlled, double-blind study. Španiel F, Hrdlička J, Novák T, Kožený J, Höschl C, Mohr P, Motlová. J Psychiatr Pract. 2012

ITAREPS: information technology aided relapse prevention programme in schizophrenia. Spaniel F., Vohlídka P., Hrdlicka J., Kozený J., Novák T., Motlová L., Cermák J., Bednarík J., Novák D. Höschl C.; Schizophr Res. 2008