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2020 – today
- 2024
[j31]Lucie Gonsorcikova
, Ales Procházka, Alexandra Molcanova, Daniela Janáková, Michaela Honzírková, Hana Charvátová, Laura Símová, Oldrich Vysata:
Assessing Pediatric Gait Symmetry Through Accelerometry and Computational Intelligence. IEEE Access 12: 125358-125368 (2024)- 2023
- [j30]Ales Procházka, Alexandra Molcanova, Hana Charvátová, Oana Geman, Oldrich Vysata:
Motion Analysis Using Global Navigation Satellite System and Physiological Data. IEEE Access 11: 42096-42103 (2023) - [d3]Ales Procházka, Alexandra Molcanova, Hana Charvátová, Oana Geman, Oldrich Vysata:
GNSS and Physiological Data for Running Monitoring. IEEE DataPort, 2023
- 2022
- [j29]Hana Charvátová, Ales Procházka, Matej Fricl, Oldrich Vysata:
Blood Oxygen Concentration and Physiological Data Changes During Motion While Wearing Face Masks. IEEE Access 10: 91763-91770 (2022) - [j28]Ales Procházka, Tatjana Dostálová, Oldrich Vysata, Pavel Cejnar, Vladimír Marík, Hana Eliásová:
Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery. IEEE Access 10: 122447-122453 (2022) - [j27]Ales Procházka, Jindrich Charvát, Oldrich Vysata, Danilo P. Mandic:
Incremental deep learning for reflectivity data recognition in stomatology. Neural Comput. Appl. 34(9): 7081-7089 (2022) - [d2]Hana Charvátová, Ales Procházka, Oldrich Vysata:
Study of physiological changes during physical load with a face mask and respirator. IEEE DataPort, 2022 - [d1]Ales Procházka, Tatjana Dostálová, Oldrich Vysata, Pavel Cejnar, Vladimír Marík, Hana Eliásová:
Craniometric Points Measurement. IEEE DataPort, 2022 - 2021
- [j26]Hana Charvátová, Ales Procházka, Oldrich Vysata, Carmen Paz Suárez Araujo, Jonathan Smith:
Evaluation of Accelerometric and Cycling Cadence Data for Motion Monitoring. IEEE Access 9: 129256-129263 (2021) - [j25]Matous Cejnek, Oldrich Vysata, Martin Valis, Ivo Bukovsky:
Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG. Medical Biol. Eng. Comput. 59(11): 2287-2296 (2021) - [j24]Ondrej Dostal, Ales Procházka, Oldrich Vysata, Ondrej Tupa, Pavel Cejnar, Martin Valis:
Recognition of motion patterns using accelerometers for ataxic gait assessment. Neural Comput. Appl. 33(7): 2207-2215 (2021) - [j23]Ales Procházka, Hana Charvátová, Oldrich Vysata, Delaram Jarchi, Saeid Sanei:
Discrimination of cycling patterns using accelerometric data and deep learning techniques. Neural Comput. Appl. 33(13): 7603-7613 (2021) - [j22]Oldrich Vysata, Ondrej Tupa, Ales Procházka, Rafael Dolezal, Pavel Cejnar, Aprajita Milind Bhorkar, Ondrej Dostal, Martin Valis:
Classification of Ataxic Gait. Sensors 21(16): 5576 (2021) - [j21]Ales Procházka, Oldrich Vysata, Vladimír Marík:
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools. IEEE Signal Process. Mag. 38(3): 154-162 (2021) - [c16]Ales Procházka, Hana Charvátová, Oldrich Vysata:
Infrared Thermography and Computational Intelligence in Analysis of Facial Video-Records. ICCCI (CCIS Volume) 2021: 635-643 - [i1]Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani, Oldrich Vysata, Jirí Kuchynka, Ales Procházka, Saeid Sanei:
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. CoRR abs/2111.05917 (2021) - 2020
- [j20]Martin Schätz, Ales Procházka, Jirí Kuchynka, Oldrich Vysata:
Sleep Apnea Detection with Polysomnography and Depth Sensors. Sensors 20(5): 1360 (2020) - [j19]Hana Charvátová, Ales Procházka, Oldrich Vysata:
Motion Assessment for Accelerometric and Heart Rate Cycling Data Analysis. Sensors 20(5): 1523 (2020) - [j18]Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani, Oldrich Vysata, Jirí Kuchynka, Ales Procházka, Saeid Sanei:
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. Sensors 20(9): 2594 (2020) - [j17]Jindrich Charvát, Ales Procházka, Matej Fricl, Oldrich Vysata, Lucie Himmlová:
Diffuse reflectance spectroscopy in dental caries detection and classification. Signal Image Video Process. 14(5): 1063-1070 (2020)
2010 – 2019
- 2019
- [j16]Petra Besedová, Oldrich Vysata, Radka Mazurová, Jakub Kopal, Jana Ondráková, Martin Valis, Ales Procházka:
Classification of brain activities during language and music perception. Signal Image Video Process. 13(8): 1559-1567 (2019) - [j15]Ales Procházka, Oldrich Vysata, Hana Charvátová, Martin Valis:
Motion Symmetry Evaluation Using Accelerometers and Energy Distribution. Symmetry 11(7): 871 (2019) - 2018
- [j14]Lucie Tylová, Jaromír Kukal, Václav Hubata-Vacek, Oldrich Vysata:
Unbiased estimation of permutation entropy in EEG analysis for Alzheimer's disease classification. Biomed. Signal Process. Control. 39: 424-430 (2018) - [j13]Ondrej Dostal, Oldrich Vysata, Ladislav Pazdera, Ales Procházka, Jakub Kopal, Jirí Kuchynka, Martin Valis:
Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG. Comput. Intell. Neurosci. 2018: 5276161:1-5276161:5 (2018) - [j12]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) - 2017
- [j11]Ales Procházka, Hana Charvátová, Oldrich Vysata, Jakub Kopal, Jonathon A. Chambers:
Breathing Analysis Using Thermal and Depth Imaging Camera Video Records. Sensors 17(6): 1408 (2017) - [j10]Hana Charvátová, Ales Procházka, Saeed Vaseghi, Oldrich Vysata, Martin Valis:
GPS-based analysis of physical activities using positioning and heart rate cycling data. Signal Image Video Process. 11(2): 251-258 (2017) - [j9]Ales Procházka, Magdaléna Kasparová, Mohammadreza Yadollahi, Oldrich Vysata, Lucie Grajciarová:
Erratum to: Multi-camera systems use for dental arch shape measurement. Vis. Comput. 33(5): 689 (2017) - [c15]Ales Procházka, Hana Charvátová, Oldrich Vysata, Pavel Cejnar, Vladimír Marík:
Multimodal breathing analysis in the evaluation of physical load. DSP 2017: 1-4 - [c14]Ales Procházka, Jirí Kuchynka, Mohammadreza Yadollahi, Carmen Paz Suárez Araujo, Oldrich Vysata:
Adaptive segmentation of multimodal polysomnography data for sleep stages detection. DSP 2017: 1-4 - 2016
- [j8]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) - [j7]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) - [c13]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 - [c12]Martin Schätz, Ales Procházka, Ondrej Tupa, Oldrich Vysata, Vojtech Sedlak:
Face movement analysis with MS Kinect. IWCIM 2016: 1-5 - [c11]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
- [j6]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) - [j5]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) - [j4]Mohammadreza Yadollahi, Ales Procházka, Magdaléna Kasparová, Oldrich Vysata:
The use of combined illumination in segmentation of orthodontic bodies. Signal Image Video Process. 9(1): 243-250 (2015) - [j3]Ales Procházka, Magdaléna Kasparová, Mohammadreza Yadollahi, Oldrich Vysata, Lucie Grajciarová:
Multi-camera systems use for dental arch shape measurement. Vis. Comput. 31(11): 1501-1509 (2015) - [c10]Matous Cejnek, Ivo Bukovsky, Oldrich Vysata:
Adaptive classification of EEG for dementia diagnosis. IWCIM 2015: 1-5 - [c9]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 - [c8]Hana Charvátová, Ales Procházka, Saeed Vaseghi, Oldrich Vysata, Dagmar Janácová, Ondrej Liska:
Physiological and GPS data fusion. IWCIM 2015: 1-4 - [c7]Oana Geman, Saeid Sanei, Hariton-Nicolae Costin, Konstantinos Eftaxias, Oldrich Vysata, Ales Procházka, Lenka Lhotská:
Challenges and trends in Ambient Assisted Living and intelligent tools for disabled and elderly people. IWCIM 2015: 1-5 - [c6]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 - [c5]Mohammadreza Yadollahi, Ales Procházka, Magdaléna Kasparová, Oldrich Vysata:
Separation of overlapping dental objects using normal vectors to image region boundaries. IWCIM 2015: 1-4 - 2014
- [j2]Ales Procházka, Saeed Vaseghi, Mohammadreza Yadollahi, Ondrej Tupa, Jan Mares, Oldrich Vysata:
Remote physiological and GPS data processing in evaluation of physical activities. Medical Biol. Eng. Comput. 52(4): 301-308 (2014) - [j1]Ales Procházka, Oldrich Vysata, Ondrej Tupa, Mohammadreza Yadollahi, Martin Valis:
Discrimination of axonal neuropathy using sensitivity and specificity statistical measures. Neural Comput. Appl. 25(6): 1349-1358 (2014) - [c4]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 - 2012
- [p1]Ales Procházka, Martina Mudrová, Oldrich Vysata, Lucie Gráfová, Carmen Paz Suárez Araujo:
Computational Intelligence in Multi-channel EEG Signal Analysis. Recent Advances in Intelligent Engineering Systems 2012: 361-381 - 2011
- [c3]Ales Procházka, Oldrich Vysata, Magdaléna Kasparová, Tatjana Dostálová:
Wavelet transform in biomedical image segmentation and classification. ISPA 2011: 519-522
2000 – 2009
- 2009
- [c2]Oldrich Vysata, Ales Procházka, Jaromír Kukal:
Fluctuation of complex wavelet coefficients amplitude correlation in EEG. DPS 2009: 1-5 - 2007
- [c1]Eva Hostalkova, Oldrich Vysata, Ales Procházka:
Multi-Dimensional Biomedical Image De-Noising using Haar Transform. DSP 2007: 175-178
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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