Project list

Recently funded grants

Nanoelectronics for Mobile Ambient Assisted Living (AAL) Systems

The objective of MAS is to develop a common communication platform and nanoelectronics circuits for health and wellness applications to support the development of flexible, robust, safe and inexpensive mobile AAL systems, to improve the quality of human life and improve the well-being of people.

In this context, reference architectures will be defined in order to enable system development from devices to complete mobile AAL systems, and to enable cooperative clusters of such systems for specific environments and applications.

MAS focuses on the development of an integrated approach for the areas of health monitoring and therapy support at home, and mobile health, wellness and fitness. The systems are intended for remote patient supervision using multi parameter biosensors and secure communication networks, and health&wellness monitoring in the home environment.

The mixed healthcare and consumer markets will be targeted with MAS-platform-based devices with five application demos:

  1. Health and Activity Monitor
  2. Point of Care Terminal and Gateway
  3. Cardiovascular Monitor
  4. Diabetes Monitor
  5. Mobile Cardiotocography
The key developments will address mobile, unobtrusive sensor systems with standardized interfaces linked by secure wireless communication to a managing controller. User friendly interfaces, multiple heterogeneous sensors networks, low power and power management form key elements of the platform. Seamless connectivity, interoperability and cooperation across mobile AAL systems, health service providers and patient will be field-tested in different environments.



Cardiotocography evaluation by means of artificial inteligence

 Goals of the project are: - To evaluate intrapartum cardiotocographic recordings (CTG) using modern methods of artificial intelligence that should allow us to detect intrapartum hypoxia with higher precision and consistency of decision - To develop decision support system for automatic evaluation of cardiotocographic recordings in such a way, that it will help the clinician to detect even the discrete signs of hypoxia. Such a system will be also able to help with elimination of human error in the decision process. - Improvement of the CTG evaluation quality will lead to decrease in incidence of the intrapartum hypoxia and it will improve the numbers of prenatal mortality and morbidity of the newborns - To create sufficiently large database of deliveries, with no less than 10000 patients, useful for testing the developed algorithms and data mining in general Expected results: - Creation of the new methodology for objective automatic processing of the CTG - Reduction of number of newborns with hypoxia - Reduction of number of invasive deliveries by means of objectification and simplification of the diagnostic process of CTG recording

Transdisciplinary research in biomedical engineering II

Transdisciplinary research in biomedical engineering II (2005-2011), research program of the Ministry of Education, Youth and Sports of the Czech Republic (MSM 6840770012) (in collaboration with other research groups of the Department of Cybernetics and other departments of the Faculty of Electrical Engineering).

ICA and myocardial infarction in Rest ECG

Detection of infarction pattern in rest ECG using ICA. This work will be done with cooperation with BTL company. Project is supported by CVUT Medialb grant.

Completed grants


  • DfA@eInclusion - (Design for All for eInclusion), 2007–2009 EU FP6 IST Coordination Action
  • K4Care (2006–2009): Knowledge-Based HomeCare eServices for an Ageing Europe, EU FP6 – STREP Project
  • Knowledge-based support of diagnostics and prediction in cardiology(2005-2009)
  • Optical mapping of brain activity (2005–2009)
  • FRVŠ 3164/2005: Mapování elektrických potenciálů z povrchu hrudníku - předzpracování a vizualizace (Chudáček)
  • CTU0607913/2006: Zpracování a vizualizace dlouhodobých EKG signálů (Chudáček)
  • NiSIS (2005–2008) Nature-inspired Smart Information Systems, EU FP6 – CA, IST.
  • FRVŠ 2264/2007: Analýza dat s využitím metod softcomputingu a 3D vizualizací (Burša)
  • CTU0705713: Heart signal processing using artificial intelligence methods (Burša)
  • CTU0811413: Zpracování elektrokardiogramu s využitím metod umělé inteligence (Burša)
  • CTU0608413: The use of particle swarm optimization in biological signal analysis and processing (Macaš)
  • FRVŠ 2812 G3: Processing and classification of eye movement signals (Macaš)
  • CTU0712513: Rozpoznávání a automatizovaná klasifikace významných oblastí v EEG signálu (Gerla)
  • CTU0802713: Využití transformací pro extrakci příznaků z EEG (Djordjevic)
  • FRVŠ 2238/2009: Multimedia support in the field of EEG in educational purposes (Djordjevic)
  • FRVŠ 1586/2009: Inovace předmětu Databázové systémy v biomedicíně a ve zdravotnictví (Burša)
  • FRVŠ 1579/2009: Inovace předmětu Informační a komunikační technologie ve zdravotnictví (Chudáček)
  • FRVŠ 1849/2009: Inovace předmětu Úvod do biomedicínského inženýrství (Huptych)


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