DCCE UCT Prague

Group Focus

Research interests of the Digital Signal and Image Processing Research Group are devoted to methodology, applications and general computational intelligence methods of digital signal and image processing in biomedical, biological, and engineering applications.

• analysis of brain activities and EEG signal processing
• polysomnography and breathing analysis
• EMG signal processing and classification of muscle disorders
• spatial modelling for gait and motion analysis
• data processing in sport activities and rehabilitation
• digital modelling in orthodontia
• environmental signal monitoring
• general computational intelligence, optimization and machine learning methods.

Theoretical topics studied within this multidisciplinary platform include functional transforms for data analysis, wavelet transforms and coherence methods, digital filters for rejection of undesirable signal components, segmentation and classification methods, image registration, computational intelligence and geometrical methods for the three-dimensional modelling.

Additional interests include modern technologies of sensors for signal, image and video recording. Results include statistical evaluation, feature extraction, classification, and verification of proposed methods for selected data sets in most cases. The general platform of multidimensional and multichannel signal processing include extensive interdisciplinary collaboration and applications of selected methods in biomedicine, neurology, robotics, diagnostics, human-man interaction and assistive technologies as well.

Members

• 1 professor
• 5 assistant professors
• 2 doctoral students and 2 students

Leader: prof. Aleš Procházka

Publications

Procházka A., Vaseghi S., Charvátová H., Ťupa O., Vyšata O.: Cycling Segments Multimodal Analysis and Classification Using Neural Networks, MDPI: Applied Sciences, 2017, 7(6), 581:1-11
Procházka A., Charvátová H., Vyšata O., Kopal J., Chambers J.: Breathing Analysis Using Thermal and Depth Imaging Camera Video Records, MDPI: Sensors, 2017, 17(6), 1408:1-10
Procházka A., Kuchyňka J., Vyšata O., Schätz M., Yadollahi M., Sanei S., Vališ M.: Sleep Scoring Using Polysomnography Data Features, SPRINGER: Signal, Image and Video Processing, SIViP, 12(6): 1043-1051, 2018
Procházka A., Kuchyňka J., Vyšata O., Cejnar P., Vališ M., Mařík V.: Multi-Class Sleep Stage Analysis and Adaptive Pattern Recognition, MDPI: Applied Sciences, 8(5), 697:1-14, 2018
Procházka A., Charvátová H., Vaseghi S., Vyšata O.: Machine Learning in Rehabilitation Assesment for Thermal and Heart Rate Data Processing, IEEE Transaction on Neural Systems and Rehabilitation Engineering, 26(6): 1209-1214, 2018
Kašparová M., Halamová S., Dostálová T., Procházka A.: Intra-Oral 3D Scanning for the Digital Evaluation of Dental Arch Parameters, MDPI: Applied Sciences, 8(10), 1838:1-9, 2018
Charvátová H., Procházka A., Zálešák M.: Computer Simulation of Temperature Distribution during Cooling of the Thermally Insulated Room, MDPI: Energies, 11, 3205:1-16, 2018
Cejnar P., Vyšata 0., Vališ M., Procházka A.: The Complex Behaviour of a Simple Neural Oscillator Model in the Human Cortex, IEEE Transaction on Neural Systems and Rehabilitation Engineering, 27(3):337-347, 2019
Besedová P., Vyšata O., Mazurová R., Kopal J., Ondráková J., Vališ M., Procházka A.: Classification of brain activities during language and music perception, SPRINGER: Signal, Image and Video Processing, SIViP, 13:1559—1567, 2019
Procházka A., Vyšata O., Charvátová H., Vališ M.: Motion Symmetry Evaluation Using Accelerometers and Energy Distribution, MDPI: Symmetry, 11, 871:1-13, 2019
Procházka A., Dostálová T., Kašparová M., Vyšata O., Charvátová H., Sanei S., Mařík V.: Augmented Reality Implementations in Stomatology, MDPI: Applied Sciences, 9, 2929:1-13, 2019
Charvát J., Procházka A., Fričl M., Vyšata O., Himmlová L.: Diffuse Reflectance Spectroscopy in Dental Caries Detection and Classification, SPRINGER: Signal, Image and Video Processing, SIViP, OnLine, 2020

Research Projects

LTAIN19007 Development of Advanced Computational Algorithms for Evaluating Post-surgery Rehabilitation
Grant, 2020-2023

Educational Projects

Biomedical Signal Processing Universidad de Las Palmas de Gran Canaria, ERASMUS A LAS-PAL01, 2001 - Rozvoj výuky informačních technologií s využitím virtualizačního prostředí a distribuovaných výpočtů grant FRVŠ č.444/2010, 2010 Biomedical Signal and Image Processing ERASMUS UK CAMBRID01, University of Cambridge, 2007 - 2010 Informační technologie ve vzdáleném zpracování signálů a obrazů grant FRVŠ č.639/2001, 2001 Wavelet Functions in Processing of Environmental and Biomedical Signals and Images Brunel University, ERASMUS UK UXBRIDG01, 1999 – 2010

Further Activities

The Research Group participated on the organization of the ICASSP 2011 - IEEE International Conference on Acoustics, Speech and Signal Processing (General Chairs: A. Procházka, P. Tichavský, J. Černocký)