Abstract:
:A technique to obtain the spacing distribution of macro- and microstructures of hypercholestrolemic liver, lymphoidlucosed liver, rhinosporidium of man and ethmoidal tumour of bovine is presented. The method uses signal processing of spatially averaged spectra of ultrasonic backscattering from tissues in the frequency range 2-8 MHz. The macrostructure is obtained from signal processing of spectral modulation amplitude and the microstructure from the frequency dependence of backscattering coefficient. The results obtained show good correlation with tissue histologies.
journal_name
Med Biol Eng Computjournal_title
Medical & biological engineering & computingauthors
Swarnamani S,Singh Mdoi
10.1007/BF02442608subject
Has Abstractpub_date
1990-11-01 00:00:00pages
561-8issue
6eissn
0140-0118issn
1741-0444journal_volume
28pub_type
杂志文章abstract::One challenge in the current research of brain-computer interfaces (BCIs) is how to classify time-varying electroencephalographic (EEG) signals as accurately as possible. In this paper, we address this problem from the aspect of updating feature extractors and propose an adaptive feature extractor, namely adaptive com...
journal_title:Medical & biological engineering & computing
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doi:10.1007/s11517-006-0107-4
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journal_title:Medical & biological engineering & computing
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doi:10.1007/BF02515312
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journal_title:Medical & biological engineering & computing
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doi:10.1007/s11517-020-02251-4
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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doi:10.1007/s11517-012-0972-y
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
pub_type: 杂志文章
doi:10.1007/BF02524426
更新日期:1998-09-01 00:00:00
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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doi:10.1007/BF02518911
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
pub_type: 杂志文章
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journal_title:Medical & biological engineering & computing
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journal_title:Medical & biological engineering & computing
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