Match!
Vladimír Mařík
Czech Technical University in Prague
193Publications
25H-index
3,077Citations
Publications 179
Newest
#1Liang Gao (HUST: Huazhong University of Science and Technology)H-Index: 40
#2Weiming Shen (HUST: Huazhong University of Science and Technology)
Last.Vladimír Mařík (CTU: Czech Technical University in Prague)H-Index: 25
view all 4 authors...
Source
#1Peigen Li (HUST: Huazhong University of Science and Technology)H-Index: 1
#2Vladimír Mařík (CTU: Czech Technical University in Prague)H-Index: 25
Last.Weiming Shen (HUST: Huazhong University of Science and Technology)
view all 4 authors...
Source
#1Aleš ProcházkaH-Index: 11
#2Tatjana DostalovaH-Index: 13
Last.Vladimír MaříkH-Index: 25
view all 7 authors...
Source
#1Vaclav Jirkovsky (CTU: Czech Technical University in Prague)H-Index: 6
#2Marek Obitko (Rockwell Automation)H-Index: 14
Last.Vladimír Mařík (CTU: Czech Technical University in Prague)H-Index: 25
view all 4 authors...
The automated interoperability of cyber-physical system components is a feature enabling the construction of more flexible and robust automation solutions. We describe the issues related to integration and propose a Plug&Play solution that allows plugging a self-describing device producing self-described data to a larger system. This solution utilizes OPC Unified Architecture (UA) and Semantic Web technologies to achieve integration at various levels. We illustrate and discuss this approach on o...
9 CitationsSource
#1Aleš ProcházkaH-Index: 11
#2Jiří KuchyňkaH-Index: 2
Last.Vladimír MaříkH-Index: 25
view all 6 authors...
Multimodal signal analysis based on sophisticated sensors, efficient communicationsystems and fast parallel processing methods has a rapidly increasing range of multidisciplinaryapplications. The present paper is devoted to pattern recognition, machine learning, and the analysisof sleep stages in the detection of sleep disorders using polysomnography (PSG) data, includingelectroencephalography (EEG), breathing (Flow), and electro-oculogram (EOG) signals. The proposedmethod is based on the classi...
2 CitationsSource
Aug 1, 2017 in DSP (International Conference on Digital Signal Processing)
#1Aleš Procházka (Institute of Chemical Technology in Prague)H-Index: 11
#2Hana Charvátová (Tomas Bata University in Zlín)H-Index: 4
Last.Vladimír Mařík (CTU: Czech Technical University in Prague)H-Index: 25
view all 5 authors...
The paper presents specific methods of processing of multimodal data recorded during physical activities by depth MS Kinect cameras, thermal imaging cameras and heart rate sensors. All video data and heart rate signals used in the present study were recorded in the home environment. The proposed methodology includes the detection of the chest breathing area for breathing motion analysis used by the MS Kinect. For the thermal image processing the static and dynamic selection of regions of interes...
Source
#1Vaclav Jirkovsky (CTU: Czech Technical University in Prague)H-Index: 6
#2Marek Obitko (Rockwell Automation)H-Index: 14
Last.Vladimír Mařík (CTU: Czech Technical University in Prague)H-Index: 25
view all 3 authors...
The current gradual adoption of the Industry 4.0 is the research trend that includes more intensive utilization of cyber-physical systems (CPSs). The computerization of manufacturing will bring many advantages but it is needed to face the heterogeneity problem during an integration of various CPSs for enabling this progress. In this paper, we describe various types of heterogeneity with emphasis to a semantic heterogeneity. The CPSs integration problem is classified into two different challenges...
37 CitationsSource
#1Vaclav Gerla (CTU: Czech Technical University in Prague)H-Index: 7
#2Vaclav Kremen (CTU: Czech Technical University in Prague)H-Index: 9
Last.Virend K. Somers (Mayo Clinic)H-Index: 93
view all 8 authors...
Abstract A set of computationally inexpensive methods for reliable and robust detection of undesired signals in the EEG and EOG was designed, implemented, and tested. This strategy includes detection of eye blinking, eye movements, muscle activity, and flat lines in multichannel EEG and EOG data. The proposed methodology was verified on real awake data acquired in controlled conditions (44 recordings of total length 26.38 h) during Maintenance of Wakefulness Tests (MWT). The algorithms worked re...
7 CitationsSource
#1Aleš Procházka (Institute of Chemical Technology in Prague)H-Index: 11
#2Oldrich Vysata (CTU: Czech Technical University in Prague)H-Index: 2
Last.Vladimír Mařík (CTU: Czech Technical University in Prague)H-Index: 25
view all 7 authors...
General methods of video processing and three dimensional modelling have a wide range of applications in engineering, archaeology and spacial objects study. The paper is devoted to applications of these methods in biomedicine and neurology using MS Kinect depth sensor for non-contact monitoring of breathing. A special attention is paid to visualization of results and motion mapping over the selected chest area. The proposed methodology applies digital signal processing methods and functional tra...
1 CitationsSource
#1Ondřej Ťupa (Institute of Chemical Technology in Prague)H-Index: 5
#2Aleš Procházka (Institute of Chemical Technology in Prague)H-Index: 6
Last.Vladimír Mařík (CTU: Czech Technical University in Prague)H-Index: 25
view all 7 authors...
Background Analysis of gait features provides important information during the treatment of neurological disorders, including Parkinson’s disease. It is also used to observe the effects of medication and rehabilitation. The methodology presented in this paper enables the detection of selected gait attributes by Microsoft (MS) Kinect image and depth sensors to track movements in three-dimensional space.
33 CitationsSource
12345678910