Publications by authors named "Iva Milerska"

2 Publications

  • Page 1 of 1

Automatic Telerehabilitation System in a Home Environment Using Computer Vision.

Stud Health Technol Inform 2020 Sep;273:142-148

Czech Technical University in Prague, Prague, Czech Republic.

In this paper, we follow up on research dealing with body tracking and motor rehabilitation. We describe the current situation in telerehabilitation in the home environment. Existing solutions do not allow wide adoption due to hardware requirements and complicated setup. We come with the possibility of telerehabilitation using only laptop or mobile web camera. Together with physiotherapists, we have compiled a set of complex motor exercises to show that the system can be practically used.
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September 2020

Semi-automated Detection of Polysomnographic REM Sleep without Atonia (RSWA) in REM Sleep Behavioral Disorder.

Biomed Signal Process Control 2019 May 7;51:243-252. Epub 2019 Mar 7.

The Czech Istitute of Informatics, Robotics and Cybernetics, Czech Technival University, Prague, Czech Republic.

We aimed at evaluating semi-automatic detection and quantification of polysomnographic REM sleep without atonia (RSWA). As basic requirements, we defined lower time demand, the possibility of comparison of several evaluations and ease of examination for neurologists. We focused on well-known primary processing of surface electromyographic signals and selected recordings that were free of technical artifacts that could compromise automated signal detection. Thus we created a comprehensive method consisting of several modules (data preprocessing, signal filtration, envelopes creation, detection of ECG QRS complexes, iterative RSWA detection, detection evaluation and interactive visualization). The original dataset consisted of 7 individual polysomnography (PSG) recordings of individual human adult subjects with REM sleep behavior disorder (RBD). RSWA detection was performed with three different methods for envelope creation (envelope by moving average filter, envelope by Savitzky-Golay filtration and peaks interpolation). Best RSWA detection was achieved using the envelope by moving average filter (average precision 64.24±12.34 % and recall 91.63±10.07 %). The lowest precision was 42.86 % with 100 % recall.
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May 2019