The ageing population and related increase in chronic diseases put considerable pressure on both the healthcare system and the society, resulting in an unsustainable rise of healthcare costs. As a result there is an urgent need to improve efficiency of care and reduce hospitalisation time in order to control cost and increase quality of life. Addressing this need, medical applications need to become less invasive and improve disease detection, diagnosis and treatment using advanced imaging and sensing techniques. ASTONISH will deliver breakthrough imaging and sensing technologies for monitoring, diagnosis and treatment applications by developing smart optical imaging technology that extends the use of minimally invasive diagnosis and treatment and allows for unobtrusive health monitoring. The project will integrate miniaturized optical components, data processing units and SW applications into smart imaging systems that are less obtrusive, cheaper, more reliable and easier to use than state of the art systems. This results into 6 demonstrators by which the technologies will be validated and which allow for pre- clinical testing in the scope of the project. The overall concept within ASTONISH builds on the development and application of common imaging/sensing technologies. Smart algorithms, multimodal fusion techniques and biomedical signal processing will process the acquired data and advanced user interfaces will simplify the complex clinical tasks. These technology components will be integrated to build application specific solutions for physiological signs monitoring, tumour detection, minimally invasive surgery, brain function monitoring and rehabilitation. The ASTONISH partners cover the full value chain, from semiconductor manufacturing to clinical centres testing the final application. The proposed innovations improve the global competitiveness of the European industry in the healthcare domain.

Klíčová slova
Optical imaging, Near Infra Red, Unoptrusive health monitoring, Minimally invasive diagnosis, Multi modal signal acquisition

8A16003

angličtina

Žalud Luděk, prof. Ing., Ph.D. - hlavní řešitel
Burian František, Ing., Ph.D. - spoluřešitel
Fujcik Lukáš, doc. Ing., Ph.D. - spoluřešitel
Gablech Imrich, Ing., Ph.D. - spoluřešitel
Horák Karel, Ing., Ph.D. - spoluřešitel
Hubálek Jaromír, prof. Ing., Ph.D. - spoluřešitel
Chromý Adam, Ing., Ph.D. - spoluřešitel
Kalvodová Petra, Ing., Ph.D. - spoluřešitel
Kledrowetz Vilém, doc. Ing., Ph.D. - spoluřešitel
Kopečný Lukáš, Ing., Ph.D. - spoluřešitel
Kuljovská Lucie, Mgr. - spoluřešitel
Neužil Pavel, prof. Ing., Dr., DSc. - spoluřešitel
Pecová Jana, MUDr. - spoluřešitel
Pekárek Jan, doc. Ing., Ph.D. - spoluřešitel
Prokop Roman, Ing., Ph.D. - spoluřešitel
Svatoš Vojtěch, Ing. - spoluřešitel
Václavek Pavel, prof. Ing., Ph.D. - spoluřešitel

Kybernetika pro materiálové vědy
- odpovědné pracoviště (20.12.2019 - nezadáno)
Středoevropský technologický institut VUT
- odpovědné pracoviště (9.9.2016 - 20.12.2019)
Chytré nanonástroje
- spolupříjemce (1.6.2016 - 31.5.2019)
Kybernetika pro materiálové vědy
- příjemce (1.6.2016 - 31.5.2019)

CHROMÝ, A.; ŽALUD, L.: RoScan; RoScan: The robotic scanning system. CEITEC, Purkynova 123, B1.08. (funkční vzorek)
Detail

CHROMÝ, A.; ŽALUD, L. The RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosis. SENSORS, 2020, vol. 20, no. 22, p. 1-22. ISSN: 1424-8220.
Detail

KALVODOVÁ, P.; ŽALUD, L. Accuracy Evaluation Method of Multispectral Data Fusion for Robotic Systems. In MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2018. p. 237-250. ISBN: 978-3-319-76072-8.
Detail

KALVODOVÁ, P.; ŽALUD, L.; BURIAN, F. Medical Optical Scanning System - Data Fusion Evaluation Method. In 2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). IEEE Computer Society Publications, 2017. p. 78-82. ISBN: 978-1-5090-6536-3.
Detail

CHROMÝ, A.; ŽALUD, L. Three-dimensional Thermal Imaging in Medicine. In Proc. of 3DBODY.TECH 2017 - 8th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies. Montreal: Hometrica Consulting, 2017. p. 232-238. ISBN: 978-3-033-06436-2.
Detail

Odpovědnost: Žalud Luděk, prof. Ing., Ph.D.