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Content Provider | IEEE Xplore Digital Library |
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Author | Min, M. Ojarand, J. Martens, O. Paavle, T. Land, R. Annus, P. Rist, M. Reidla, M. Parve, T. |
Copyright Year | 2012 |
Description | Author affiliation: Th. J. Seebeck Dept. of Electron., Tallinn Univ. of Technol., Tallinn, Estonia (Min, M.; Martens, O.; Paavle, T.; Land, R.; Reidla, M.; Parve, T.) || Competence Centre ELIKO, Tallinn, Estonia (Ojarand, J.; Annus, P.; Rist, M.) |
Abstract | Using of binary waveforms in the fast impedance spectroscopy of biological objects is discussed in the paper. There is shown that the energy of binary waveforms can be concentrated onto selected separate frequencies. We can optimize the binary excitation waveform depending on the shape of frequency response of the impedance under study to maximize the levels of signal components with certain selected frequencies. As a result, we are able to receive maximal amount of information about the properties and behavior of the impedance to be studied. We have designed and prototyped the impedance spectroscopy device operating in the frequency range from 100 mHz to 500 kHz to cover α- and β-regions of the bio-impedance spectrum of time-varying subjects as, for example, fast moving cells in micro-fluidic devices, beating heart and breathing lungs or the whole cardiovascular system. |
Sponsorship | IEEE Eng. Medicine Biol. Soc. |
Starting Page | 134 |
Ending Page | 137 |
File Size | 926438 |
Page Count | 4 |
File Format | |
ISBN | 9781424441198 |
ISSN | 1557170X |
e-ISBN | 9781457717871 |
DOI | 10.1109/EMBC.2012.6345889 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-08-28 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Impedance Spectroscopy Synthetic aperture sonar Signal to noise ratio Educational institutions USA Councils Chirp |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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