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"Institutional Research Funding (IUT)" project IUT19-11
IUT19-11 "Impedance spectroscopy based identification and control of objects: signals, algorithms, energy efficient solutions" (1.01.2014−31.12.2019); Principal Investigator: Toomas Rang; Tallinn University of Technology , School of Information Technologies, Tallinn University of Technology , School of Information Technologies, Thomas Johann Seebeck Department of Electronics; Financier: Estonian Research Council; Financing: 1 446 000 EUR.
IUT19-11
Impedants-spektroskoopia põhine objektide identifitseerimine ja juhtimine: signaalid, algoritmid, energiasäästlikud lahendused
Impedance spectroscopy based identification and control of objects: signals, algorithms, energy efficient solutions
1.01.2014
31.12.2019
R&D project
Institutional Research Funding (IUT)
ETIS research fieldETIS research subfieldCERCS research fieldFrascati Manual research fieldPercent
4. Natural Sciences and Engineering4.7. TelecommunicationsT121 Signal processing 2.2. Electrical engineering, electronics [electrical engineering, electronics, communication engineering and systems, computer engineering (hardware only) and other allied subjects]30,0
4. Natural Sciences and Engineering4.8. Electrical Engineering and ElectronicsT170 Electronics 2.2. Electrical engineering, electronics [electrical engineering, electronics, communication engineering and systems, computer engineering (hardware only) and other allied subjects]50,0
4. Natural Sciences and Engineering4.9. Medical EngineeringB140 Clinical physics, radiology, tomography, medical instrumentation 2.3. Other engineering sciences (such as chemical, aeronautical and space, mechanical, metallurgical and materials engineering, and their specialised subdivisions forest products applied sciences such as geodesy, industrial chemistry, etc. the science and technology of food production specialised technologies of interdisciplinary fields, e.g. systems analysis, metallurgy, mining, textile technology and other allied subjects)20,0
PeriodSum
01.01.2014−31.12.2014241 000,00 EUR
01.01.2015−31.12.2015241 000,00 EUR
01.01.2016−31.12.2016241 000,00 EUR
01.01.2017−31.12.2017241 000,00 EUR
01.01.2018−31.12.2018241 000,00 EUR
01.01.2019−31.12.2019241 000,00 EUR
1 446 000,00 EUR

Sihiks on luua senisest efektiivsemad impedants-spektroskoopia meetodid ja mikroelektroonsed vahendid eksperimentaaluuringute teostamiseks füüsikas, bioloogias ja materjaliteaduses ning tehnilise ja meditsiinilise diagnostika jaoks. Eesmärk saavutatakse infotehnoloogia alaste teadmiste suunatud arendamise ja rakendamise ning mikroelektroonika alaste saavutuste ühise implementeerimise kaudu. Tähelepanu koondub matemaatilise spektraalanalüüsi meetodite uurimisele ja arendamisele (üheaegne aeg-sagedus käsitlus, fraktsionaalne Fourier teisendus, ortogonaalsed teisendused), silmas pidades lühiajaliste ja laiaribaliste signaalide sünteesimeetodeid nõutava spektriga ergutussignaalide saamiseks ja elektroonseks genereerimiseks. Otsitakse selliseid binaarseid või ternaarseid impulssjadasid, millede rakendamine ergutuseks ning reaktsiooni analüüsiks annab maksimaalse kiiruse ja mahuga infovoo. Valmib originaalne meetod ja seade kognitiivse impedants-spektroskoopia eeliste demonstreerimiseks.
The goal is to create more efficient impedance spectroscopy methods and microelectronic tools for experimental research in physics, biology, materials science, and technical and medical diagnostics. The objective is expected to achieve by combination of information technology knowledge with achievements in microelectronics. Attention is concentrated on new algorithmic and mathematical methods for the research of spectral analysis methods (simultaneous time-frequency treatment, fractional Fourier transform, orthogonal transformations) for synthesis of short-term and broadband signals with the required excitation spectrum and ensuring the readiness for their electronic generation. Such the binary and ternary pulse sequences are investigated, implementation of which gives an ability to analyze the response signals with a maximum speed and amount of information flow. A demo devices will be developed for demonstrating the achieved scientific results in cognitive impedance spectroscopy.
New wide bandgap materials based semiconductor structures were under investigation. Using the metallization technology base on diffusion welding the novel modular structure high voltage devices have been developed. New method based on “hot protons” irradiation for improvement the radiation proof diode structures has been introduced, designed and implemented. Cooperation with the research group from A. F. Joffe Physical Technical institute, St. Petersburg. New research grant PRG620 “CogniFlow-Cyte: Cognitronic Lab-on-a-Chip System for Highly-Automated Flow Cytometry” started in 2020. During the research, significant new knowledge and skills were obtained in the further development of the impedance spectroscopy and related technologies and their applications. The originality of the research is proved by several Estonian and international patents. The results of the research are disseminated locally through doctoral and master's theses and in cooperation with local hospitals and industry. The new Master's course in impedance spectroscopy is recognized and awarded by the IEEE Instrumentation and Measurement Society. Technology demonstrators have been created in cooperation with Finnish, Danish, Italian and Estonian companies. New research topics has started from this research: EAG34 "Non-invasive sensor for central aortic blood pressure curve" and CHIST-era international project for smart synthesis of ECG and impedance cardiography. A bio-impedance signal generator (BISS) has been developed to ease the modeling and analysis of cardiac signals for the diagnosis of diseases and evaluation of heart functioning. Work on sparse signal processing led to a method for separating cardiac and respiratory components from electrical bioimpedance measurements. During the project, new opportunities the machine learning has been used for automatic detection of pulmonary nodules in CT images. The new method can be used for distributed estimation and cooperation in wireless communication.