caa a22 4500 465783058 CHVBK 20180323112000.0 cr unu---uuuuu 170327e19900101xx s 000 0 eng 10.1007/BF02441678 doi (NATIONALLICENCE)springer-10.1007/BF02441678 Real-time system for robust spectral parameter estimation in Doppler signal analysis [Elektronische Daten] [C. Di Giuliomaria, M. Capponi, T. D'Alessio, R. Sacco, E. Zanette] In assessing the level of stenosis in extracranial Doppler analysis, spectral analysis has until now been used qualitatively, for the most part. Owing to the many variables affecting the measurements (mainly noise level and instrument setting made subjectively by the operator), the reliability of the inferences on the degree of stenosis is not clearly definable. Under such conditions the need arises for algorithms and systems that can estimate spectral parameters with a higher degree of accuracy, to verify whether reliable inferences can indeed by made or if this technique is only a qualitative one. In the paper a real-time spectral analysis system is described. The system relies on a new spectral estimation algorithm which gives estimates with good robustness with respect to noise. Moreover, a clear measurement procedure which eliminates the many subjective factors affecting the estimates has also been proposed and used. The system has been evaluated with simulated signals and in clinical trials and has shown better performance than the commonly used commercial analysers. IFMBE, 1980 Decision procedures nationallicence Doppler signals nationallicence Real-time spectral analysis nationallicence Di Giuliomaria C. Biotronix srl, Lungotevere dei Mellini 44, Roma, Italy aut Capponi M. Biotronix srl, Lungotevere dei Mellini 44, Roma, Italy aut D'Alessio T. Dipartimento INFOCOM and CIB, Università di Roma La Sapienza, vía Eudossiana 18, 00184, Roma, Italy aut Sacco R. Biotronix srl, Lungotevere dei Mellini 44, Roma, Italy aut Zanette E. Diparttimento Scienze Neurologiche, Università di Roma La Sapienza, VIe Università 30, 00185, Roma, Italy aut Medical and Biological Engineering and Computing Kluwer Academic Publishers 28/1(1990-01-01), 54-59 0140-0118 28:1<54 1990 28 11517 https://doi.org/10.1007/BF02441678 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02441678 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Di Giuliomaria C. Biotronix srl, Lungotevere dei Mellini 44, Roma, Italy aut NATIONALLICENCE 700 1- Capponi M. Biotronix srl, Lungotevere dei Mellini 44, Roma, Italy aut NATIONALLICENCE 700 1- D'Alessio T. Dipartimento INFOCOM and CIB, Università di Roma La Sapienza, vía Eudossiana 18, 00184, Roma, Italy aut NATIONALLICENCE 700 1- Sacco R. Biotronix srl, Lungotevere dei Mellini 44, Roma, Italy aut NATIONALLICENCE 700 1- Zanette E. Diparttimento Scienze Neurologiche, Università di Roma La Sapienza, VIe Università 30, 00185, Roma, Italy aut NATIONALLICENCE 773 0- Medical and Biological Engineering and Computing Kluwer Academic Publishers 28/1(1990-01-01), 54-59 0140-0118 28:1<54 1990 28 11517 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer