Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect A Procházka, O Vyšata, M Vališ, O Ťupa, M Schätz, V Mařík Digital Signal Processing 47, 169-177, 2015 | 111 | 2015 |
Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect O Ťupa, A Procházka, O Vyšata, M Schätz, J Mareš, M Vališ, V Mařík Biomedical engineering online 14, 1-20, 2015 | 107 | 2015 |
Microsoft kinect visual and depth sensors for breathing and heart rate analysis A Procházka, M Schätz, O Vyšata, M Vališ Sensors 16 (7), 996, 2016 | 102 | 2016 |
Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders A Procházka, O Vyšata, M Vališ, O Ťupa, M Schätz, V Mařík Neural Computing and Applications 26, 1621-1629, 2015 | 50 | 2015 |
Extraction of breathing features using MS Kinect for sleep stage detection A Procházka, M Schätz, F Centonze, J Kuchyňka, O Vyšata, M Vališ Signal, Image and Video Processing 10, 1279-1286, 2016 | 37 | 2016 |
Non-Linear EEG measures in meditation O Vyšata, M Schätz, J Kopal, J Burian, A Procházka, K Jiří, J Hort, M Vališ Journal of biomedical science and engineering 7 (09), 731, 2014 | 31 | 2014 |
The MS kinect image and depth sensors use for gait features detection A Procházka, M Schätz, O Ťupa, M Yadollahi, O Vyšata, M Walls 2014 IEEE International Conference on Image Processing (ICIP), 2271-2274, 2014 | 30 | 2014 |
Statistical recognition of breathing by MS Kinect depth sensor M Schätz, F Centonze, J Kuchyňka, O Ťupa, O Vyšata, O Geman, ... 2015 International Workshop on Computational Intelligence for Multimedia …, 2015 | 26 | 2015 |
Complex continuous wavelet coherence for EEG microstates detection in insight and calm meditation J Kopal, O Vyšata, J Burian, M Schätz, A Procházka, M Vališ Consciousness and Cognition 30, 13-23, 2014 | 26 | 2014 |
Sleep apnea detection with polysomnography and depth sensors M Schätz, A Procházka, J Kuchyňka, O Vyšata Sensors 20 (5), 1360, 2020 | 24 | 2020 |
Feature extraction using MS Kinect and data fusion in analysis of sleep disorders F Centonze, M Schätz, A Procházka, J Kuchyňka, O Vyšata, P Cejnar, ... 2015 International Workshop on Computational Intelligence for Multimedia …, 2015 | 18 | 2015 |
Mitotic defects in fission yeast lipid metabolism ‘cut’mutants are suppressed by ammonium chloride R Zach, J Tvarůžková, M Schätz, O Ťupa, B Grallert, M Převorovský FEMS yeast research 18 (6), foy064, 2018 | 17 | 2018 |
Nanoscale mapping of nuclear phosphatidylinositol phosphate landscape by dual-color dSTORM P Hoboth, M Sztacho, O Šebesta, M Schätz, E Castano, P Hozák Biochimica et Biophysica Acta (BBA)-Molecular and Cell Biology of Lipids …, 2021 | 15 | 2021 |
Sleep scoring using polysomnography data features A Procházka, J Kuchyňka, O Vyšata, M Schätz, M Yadollahi, S Sanei, ... Signal, Image and Video Processing 12, 1043-1051, 2018 | 11 | 2018 |
Video processing and 3D modelling of chest movement using MS Kinect depth sensor A Procházka, O Vys̆ata, M Schätz, H Charvátová, CPS Araujo, O Geman, ... 2016 International Workshop on Computational Intelligence for Multimedia …, 2016 | 8 | 2016 |
Analysis of lipid droplet content in fission and budding yeasts using automated image processing J Princová, M Schätz, O Ťupa, M Převorovský JoVE (Journal of Visualized Experiments), e59889, 2019 | 7 | 2019 |
EEG synchronizations length during meditation J Kopal, O Vyšata, J Burian, M Schätz, A Procházka, M Vališ Journal of Medical and Biological Engineering 37, 220-229, 2017 | 5 | 2017 |
Face movement analysis with MS Kinect V Schätz, Martin Prochazka, Ales Tupa, Ondrej Vysata, Oldrich Sedlak 2016 International Workshop on Computational Intelligence for Multimedia …, 2016 | 5 | 2016 |
Chest area segmentation in 3D images of sleeping patients Y Goldstein, M Schätz, M Avigal Medical & Biological Engineering & Computing 60 (8), 2159-2172, 2022 | 2 | 2022 |
Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring O Ťupa, O Vyšata, A Procházka, O Dostál, M Schätz 2016 International Workshop on Computational Intelligence for Multimedia …, 2016 | 2 | 2016 |