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Martin Schätz
Martin Schätz
Vysoká škola chemicko technologická
在 vscht.cz 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1112015
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
1072015
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
1022016
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
502015
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
372016
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
312014
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
302014
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
262015
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
262014
Sleep apnea detection with polysomnography and depth sensors
M Schätz, A Procházka, J Kuchyňka, O Vyšata
Sensors 20 (5), 1360, 2020
252020
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
182015
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
172018
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
162021
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
112018
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
82016
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
72019
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
52017
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
52016
Chest area segmentation in 3D images of sleeping patients
Y Goldstein, M Schätz, M Avigal
Medical & Biological Engineering & Computing 60 (8), 2159-2172, 2022
22022
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
22016
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