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2020 – today
- 2022
[j7]Yoav Goldstein
, Martin Schätz, Mireille Avigal:
Chest area segmentation in 3D images of sleeping patients. Medical Biol. Eng. Comput. 60(8): 2159-2172 (2022)- 2020
- [j6]Martin Schätz, Ales Procházka, Jirí Kuchynka, Oldrich Vysata:
Sleep Apnea Detection with Polysomnography and Depth Sensors. Sensors 20(5): 1360 (2020) - [i1]Yoav Goldstein, Martin Schätz, Mireille Avigal:
Chest Area Segmentation in Depth Images of Sleeping Patients. CoRR abs/2008.09773 (2020)
2010 – 2019
- 2018
- [j5]Ales Procházka, Jirí Kuchynka, Oldrich Vysata, Martin Schätz, Mohammadreza Yadollahi, Saeid Sanei, Martin Valis:
Sleep scoring using polysomnography data features. Signal Image Video Process. 12(6): 1043-1051 (2018) - 2016
- [j4]Ales Procházka, Martin Schätz, Oldrich Vysata, Martin Valis:
Microsoft Kinect Visual and Depth Sensors for Breathing and Heart Rate Analysis. Sensors 16(7): 996 (2016) - [j3]Ales Procházka, Martin Schätz, Fabio Centonze, Jirí Kuchynka, Oldrich Vysata, Martin Valis:
Extraction of breathing features using MS Kinect for sleep stage detection. Signal Image Video Process. 10(7): 1279-1286 (2016) - [c6]Ales Procházka, Oldrich Vysata, Martin Schätz, Hana Charvátová, Carmen Paz Suárez Araujo, Oana Geman, Vladimír Marík:
Video processing and 3D modelling of chest movement using MS Kinect depth sensor. IWCIM 2016: 1-5 - [c5]Martin Schätz, Ales Procházka, Ondrej Tupa, Oldrich Vysata, Vojtech Sedlak:
Face movement analysis with MS Kinect. IWCIM 2016: 1-5 - [c4]Ondrej Tupa, Oldrich Vysata, Ales Procházka, Ondrej Dostal, Martin Schätz:
Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring. IWCIM 2016: 1-5 - 2015
- [j2]Ales Procházka, Oldrich Vysata, Martin Valis, Ondrej Tupa, Martin Schätz, Vladimír Marík:
Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect. Digit. Signal Process. 47: 169-177 (2015) - [j1]Ales Procházka, Oldrich Vysata, Martin Valis, Ondrej Tupa, Martin Schätz, Vladimír Marík:
Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders. Neural Comput. Appl. 26(7): 1621-1629 (2015) - [c3]Fabio Centonze, Martin Schätz, Ales Procházka, Jirí Kuchynka, Oldrich Vysata, Pavel Cejnar, Martin Valis:
Feature extraction using MS Kinect and data fusion in analysis of sleep disorders. IWCIM 2015: 1-5 - [c2]Martin Schätz, Fabio Centonze, Jirí Kuchynka, Ondrej Tupa, Oldrich Vysata, Oana Geman, Ales Procházka:
Statistical recognition of breathing by MS Kinect depth sensor. IWCIM 2015: 1-4 - 2014
- [c1]Ales Procházka, Martin Schätz, Ondrej Tupa, Mohammadreza Yadollahi, Oldrich Vysata, M. Walls:
The MS kinect image and depth sensors use for gait features detection. ICIP 2014: 2271-2274
Coauthor Index
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