DEPARTMENT OF CIRCUIT THEORY

provides education and performs research and development in the areas of electronics circuits, signal processing and biomedical engineering.

News

Prize of ministry of health

The prize of ministry of health in year 2021 was awarded to prof. MUDr. Přemysl Jiruška, Ph.D. in cooperation with prof. Ing. Roman Čmejla, CSc.

New grants

In year 2022 department employees were awarded NPO Exceles grant. See more...

New electronic study materials

Many new electronic materials are being created! See more...

New department web pages

Welcome to the new web pages of our department. If you have comments, please submit them to bortelr@fel.cvut.cz.

Education

CIRCUIT THEORY

The department offers a series circuit theory courses. The courses start with the fundamentals taught in the courses Electronic Devices and Circuits (B3B31EPO), Fundamentals of Electric Circuits (B2B31ZEOA/B2B31ZEO/BE5B31ZEO), Circuit Theory (A8B31CIR) and Electrical Circuits (B1B31EOS). These fundamentals are then followed by intermediate courses Electronic Circuits 1(B2B31EO1), Analog and Active Circuits (A8B31AAC), and Electronic Circuits 2 (B2B31EO2). The advanced courses for the master study program are Analog Signal Processing (B2M31ZASA/BAM31ZAS), Implementation of Analog Systems (B2M31IASA) and Advanced Analog Systems (A8M31AAS). In the doctoral study program we offer courses Design and Circuit Structures of Electronic Systems (XP31NOS) and Electric Circuit Analysis (XP31AEO).

Signal processing classes start with courses Signals and Systems (B3B31SAS), Digital Signal Processing (B2B31CZS), Fundamentals of Signal Processing (BAB31ZZS), Signal Theory (BE5B31TES) and Digital Signal Processing (BE2M31DSPA). Subsequent intermediate courses are Advanced DSP Methods (B2M31DSP), Adaptive Signal Processing (B2M31ADA/B2M31ADAA), Experimental Data Analysis (B2M31AEDA), Audio Signal Synthesis (B2M31SYN/BE2M31SYN), Biological Signal Processing (BA31ZZS), Zpracování řeči (B2M31ZRE) a Zpracování  a kódování audio signálů (A8M31APS). V doktorském studiu pak nabízíme předměty Číslicové zpracování signálů (XP31CZS), Fonetika řeči a pokročilé hlasové technologie (XP31FON) a Zpracování biologických signálů (XP31ZBS).

SIGNAL PROCESSING

BIOMEDICAL ENGINEERING

In the area of biomedical engineering the department offers both technical and medical courses. Predominantly technical courses are Basics of Medical Electronics (A0M31ZLE), Medical Instrumentation and Devices (BAM31LET), Introduction to Bioengineering (BVB31UBI), Biological Signals (BEAM31BSG) and Biological Signal Processing (BA31ZZS). Predominantly medical courses are Fundamentals of Anatomy and Physiology I. a II. (BAB31AF1/BAB31AF2 – taught at FPES CU), Neurophysiology (BAM31NPG – taught at 2. LF CU), Modeling and Analysis of Brain Activity (BAM31MOA) a Genetics (BAB31GEN). In the doctoral program we offer a course Biological Signal Processing (XP31ZBS).

In individual and semestral projects, the department develops engineers, who can apply their knowledge in practical applications. Students learn how to work with basic computer aided design tools (Altium Designer, Solidworks, Matlab), they learn practical realization electrical circuits and the implementation of signal processing and control algorithms. After acquiring necessary experience, the students can participate in department R&D projects, or they can work on projects of their own.

INDIVIDUAL PROJECTS

ONLINE CLASSES

The department offers modern teaching methods such as on-line courses available on YouTube:


Many electrical circuit classes are also connected with the online simulator GEEC.

Research

NEURODEGENERATIVE SPEECH DISORDERS

The research group of Dr. Rusz deals with theoretical issues and practical applications in the field of neurology, phoniatrics, and speech therapy, and especially analysis, modeling and interpretation of speech pathologies. The results of the research are part of joint projects with medical institutions around the world, where they lead to deeper knowledge and are used in the diagnosis and evaluation of treatment efficacy. Current topics include, for example, speech analysis for early diagnosis of Parkinson's disease, differential diagnosis of neurological diseases based on speech, or evaluation of the effects of drugs and surgery on speech quality.

Speech is an important indicator of motor function and coordination and is extremely sensitive to the damage of the central nervous system. Parkinson's disease is a chronic neurodegenerative disorder directly related to the loss of dopamine-generating cells in the part of the brain called Substantia nigra with a prevalence of 1-2% of people over the age of 60. The first motor symptoms, i.e. tremor, rigidity and slowness of movements, occur after the death of 60-70% of dopaminergic neurons. From this point of view, early diagnosis is crucial for improving the quality of a patient's life. Changes in speech, which can be characterized by monotony, imprecise articulation or inability to keep stable rhythm, can precede the development of motor symptoms by up to 10 years before the diagnosis. The research of our group is mainly focused on the development of new technologies based on digital signal processing methods for automatic evaluation of the severity of speech disorders. These technologies represent an accurate, objective, non-invasive and inexpensive method that can serve as a useful tool for the early diagnosis of CNS diseases. We further focused on the research of a rare hereditary disorder called Huntington's disease. This disorder is a suitable experimental model as it allows us to detect the presence of the affected gene in person and thus provide the opportunity to observe the development of the disease from pre-clinical stages to the onset of the first disease-related symptoms.

Speech disorders called dysarthria may substantially differ with respect to various neurological diseases. Type of dysarthria is closely related to the position of the lesion in the brain, and therefore speech can be a valuable marker for neurological localization and may be diagnostically helpful in a number of neurological disorders. For example, the speech of patients with Parkinson's disease typically displays monotone intonation whereas patients with stroke are likely to exhibit contradictory speech pattern of excess pitch variation. The research of our group is mainly focused on the development of new technologies based on digital signal processing methods for the identification of deviant speech dimensions such as monopitch, harshness, rapid speech, imprecise articulation and many others. We aimed at differentiation between the speech of atypical parkinsonian syndromes such as progressive supranuclear palsy or multiple system atrophy. In clinical practice, the majority of patients with atypical parkinsonian syndromes develop clinical features that overlap those of Parkinson's disease, and the correct diagnosis may only become clear as the disease progresses. Nevertheless, accurate and early diagnosis is essential for making decision regarding management of treatment, assessing prognosis, but also for understanding pathophysiology of the underlying disease and developing possible new treatment strategies.

Although for most of neurodegenerative diseases, there is currently no available treatment that could stop or even slow the death of the brain cells, modern medicine offers many approaches that can alleviate the various symptoms of the diseases. These approaches include a variety of drugs, speech and rehabilitative therapy, or even surgical intervention. It is possible to effectively relieve the main motor symptoms of Parkinson's disease, i.e. tremor, rigidity and slowness of movements, using the administration of the drug known as levodopa, which causes stabilization of dopamine in the brain. Most patients show a positive response to treatment allowing them to return to normal life. Another treatment option covers deep brain stimulation, a surgical intervention, whose principle is electrical stimulation of the affected part of the brain. Our research group participates in a project that focused on the assessment of the effect of stimulation parameters reconfiguration, including frequency and amplitude, on walking and speech. We further investigate the effects of levodopa on speech in Parkinson's disease and antipsychotics in Huntington's disease, as well as physiotherapy effectiveness concerning the improvement of trunk stability and related speech alterations in patients with spinocerebellar ataxia. In the future, we would also like to aim at the assessment of speech therapy, since the acoustic analysis can be considered as a valuable tool for motivation and feedback during speech therapy.

Research group pages

EPILEPSY

Within the research of epilepsy and its surgical treatment, we develop new techniques, which succeed time demanding procedures for the evaluation of biological signals (EEG, iEEG, HD-EEG) and medical images (CT, MR, PET, SPECT), or supplement subjective clinical evaluations with evaluation by an expert system based on digital signal and image processing, statistics, graph theory and artificial intelligence. Concurrently, we study interconnectivity of brain circuits during congnitive tasks and eventual effects of neurosurgery on a patient. We develop electrostimulation protocols for brain cortex functional mapping during surgical procedures, with aim to postpone or stop epileptic seizures or to modulate cognitive performance. The research team is a part of a multidisciplinary platform EpiReC (IP CAS, 2. FM CU, FEE CTU, FH Motol), which support interdisciplinary basic and applied research and accelerates the use of new technologies in clinical practice.

In cooperation with Kansas State University we 1) develop new structures of microwave applicators, 2) develop computational platforms for microwave ablation planning and 3) study dielectric and thermal parameters of tissues and their dependance on temperature and frequency and possibilities of their estimation from computed tomography (CT) and magnetic resonance (MRI).

1) Within the development of microwave ablation applicator structures, we developed an omnidirectional applicator with achievable diameter of a spherical ablation area 5cm in ex vivo liver tissue. The applicator is developed among others for the treatment of lung tumors. In this case a bronchoscopic insertion to the application area will be utilized, minimizing the risk of pneumothorax. The second actively developed prototype is a directional ablation applicator, which to target areas in proximity of critical structures,

Ablation area prediction

and also areas that do not allow insertion of the applicator due to their rigidity. See more...

2) The development of computational platform for treatment planning and prediction utilizes simulations heat maps in the vicinity of the applicator during the ablation to estimate thermal damage of the tissues for the estimation of ideal combination of energetic input parameters of the ablation and positioning of the applicator, all based on tissue structures distinguished in the vicinity of the application area, where each structure effects the electromagnetic field of the applicator and the heat transfer. See more...

3) Dielectric and thermal parameters of tissues strongly affect the shape and size of the resulting ablation area.

Real ablation

Their study and use in computational models is therefore necessary for increasing precision of ablation prediction and treatment planning with aim to minimize
local recession of tumors, and also to minimize the damage of healthy tissue surrounding the ablation area.

For more information see publications: 1,2,3.

This cooperation also includes in vivo studies in mouse and pig modes, in the cooperation with the veterinary center of Kansas State University. More...

MICROWAVE ABLATION

BLOOD PERFUSION MONITORING

In cooperation with the Institute of Clinical and Experimental Medicine (IKEM) we develop systems for monitoring of blood perfusion of transplanted organs and vascular prosthesis.

In the past we developed and tested a system for monitoring of a kidney transplant during an early postoperative period. The system is capable of continual monitoring and fast indication of lowered blood perfusion, which could improve the success of kidney transplantations in the future. Thus far the system has been tested on animal models, where we verified its functionality and robustness. More information can be found here, here, here and here.

Currently we develop a system for vascular prosthesis monitoring. This system should be able to intermittently monitor the blood flow, detect it's reduction, and indicate this condition telemetrically.

Department employees currently work on the following grants:

  • NPO - National institute for neurological research (co-investigator doc. Ing. Jan Rusz, Ph.D.)
  • GAČR – Reducing speech-related side-effects of deep brain stimulation in Parkinson's Disease via automated speech analysis (investiator doc. Ing. Jan Rusz, Ph.D.)
  • GAČR – Population standard of acoustic-phonetic characteristics in children's speech (investigator prof. Ing. Roman Čmejla, CSc.)
  • AZV – Smart speech biomarkers for Parkinson’s disease and other synucleinopathies (investigator doc. Ing. Jan Rusz, Ph.D.)
  • AZV – Objective investigation of distinct speech phenotypes in newly diagnosed Parkinson's disease including effects of pharmacotherapy (investigator Ing. Tereza Tykalová, Ph.D.)
  • AZV – Hippocampal involvement in neocortical epilepsy networks: Implications for surgical planning (investigator Ing. Radek Janča, Ph.D.)

Dále se podílíme na řešení grantu Research Center for Informatics.

GRANTS

Development and Cooperation with Industry

The department offers services mainly in the following areas

  • Development and realization of electronics cuircuts
  • Development and implementation of digital signal processing algorithms
  • Analysis and diagnostics of electronic circuits

Currently, the department cooperates with partners such as AŽD Praha, Digiteq, Apsara Energy. In the past several projects were realized for ASICentrum, s.r.o, Radiokomunikace, s.r.o, VODNÍ DÍLA - TBD a.s. and several other industry partners.


For cooperation contact us.

Department Staff

Head of Department

Deputy Head of Department

Secretary for Education

Secretary for Research

doc. Ing. Radoslav Bortel, Ph.D.

doc. Dr. Ing. Jiří Hospodka

Ing. Pavel Máša, Ph.D.

doc. Ing. Jan Rusz, Ph.D.

Secretary for Administration

Petra Rouhová, DiS.

Department staff and doctoral students

Staff

NameRoom Phone Number
Bořil, Tomáš, Ing., Ph.D.--
Bortel, Radoslav, doc., Ing., Ph.D.B2-52322435 2291
Čmejla, Roman, prof., Ing., CSc.B2-52522435 2236
Havlíček, Václav, prof., Ing., CSc.B2-52522435 2284
Havlík, Jan, Ing., Ph.D.C4-36222435 2048
Hlavnička, JanC4-46022435 2820
Hlinka, Jaroslav, Ing., Mgr., Ph.D.--
Horčík, Zdeněk, Ing.C4-36222435 2049
Hospodka, Jiří, doc., Dr., Ing.B3-80422435 2066
Illner, Vojtěch, Ing.C4-461-
Janča, Radek, Ing., Ph.D.B2-52222435 2098
Jech, Robert, prof., MUDr., Ph.D.--
Krýže, Petr, Ing.B2-526-
Máša, Pavel, Ing., Ph.D.B2-52722435 2097
Náhlík, Jiří, Ing., Ph.D.B3-80222435 2067
Nosková, Ivana, Ing.B3-61522435 2099
Novotný, Michal, Ing., Ph.D.B-61322435 5887
Plosová, Magda--
Pokorný, Martin, Ing., Ph.D.B2-52222435 2286
Pollák, Petr, doc., Ing., CSc.C4-36222435 2049
Rouhová, Petra, , DiS.B2-52422435 2288
Rusz, Jan, doc., Ing., Ph.D.B2-52022435 2287
Šebek, Jan, Ing., Ph.D.B3-80122435 2068
Šimek, Michal, Ing.C4-461-
Sovka, Pavel, prof., Ing., CSc.B3-61222435 2158
Spálenka, Karel, Ing.--
Šubrt, Ondřej, Ing., Ph.D.-22435 2067
Švihlík, Jan, Ing., Ph.D.--
Tykalová, Tereza, Ing., Ph.D.B3-61322435 5887
Uhlíř, Jan, prof., Ing., CSc.B3-61222435 2158
Vimr, Jan, Ing.B2-526-
Vrbata, Jan, Ing., Ph.D.B3-80222435 2067
Zemánek, Ivan, prof., Ing., CSc.B2-52122435 2285

Doctoral students

NameRoom Phone Number
Blažek, František, Ing.--
Chvojka, Jan, Ing. --
Illner, Vojtěch, Ing.C4-46122435 2290
Kala, David, Ing.--
Kouba, Tomáš, Ing.C4-46122435 2290
Krýže, Petr, Ing.B2-526-
Maduda, Samuel, Ing.B2-526-
Paulů, Filip, Ing.B3-80322435 2067
Poplová, Michaela, Ing.--
Šimek, Michal, Ing.C4-46122435 2290
Šubert, Martin, Ing. --
Svobodová, Lenka, Ing.C4-46022435 2820
Vimr, Jan, Ing.B2-526-

Contacts

Address

Department of Circuit Theory
Faculty of Electrical Engineering
Czech Technical University
Technická 2
166 27 Praha 6
Czech Republic

Administrative Office
tel.: 224352288
e-mail: rouhopet@fel.cvut.cz

Head of Department
tel.: 737918312
e-mail: bortelr@fel.cvut.cz

Where to find the rooms...

Internal Page