Automatic Classification of HITS Into Artifacts or Solid or Gaseous Emboli by a Wavelet Representation Combined With Dual-Gate TCD | Zendy

G. Devuyst | Zendy; Georges A. Darbellay | Zendy; Jean-Marc Vésin | Zendy; Vendel Kemény | Zendy; Martin Ritter | Zendy; Dirk W. Droste | Zendy; Carlos A. Molina | Zendy; J. Serena | Zendy; Roman Sztajzel | Zendy; Patrick Ruchat | Zendy; C. Lucchesi | Zendy; Giovanni Dietler | Zendy; E.B. Ringelstein | Zendy; PaulAndré Despland | Zendy; Julien Bogousslavsky | Zendy

Open Access

Automatic Classification of HITS Into Artifacts or Solid or Gaseous Emboli by a Wavelet Representation Combined With Dual-Gate TCD

Author(s) -

G. Devuyst,

Georges A. Darbellay,

Jean-Marc Vésin,

Vendel Kemény,

Martin Ritter,

Dirk W. Droste,

Carlos A. Molina,

J. Serena,

Roman Sztajzel,

Patrick Ruchat,

C. Lucchesi,

Giovanni Dietler,

E.B. Ringelstein,

PaulAndré Despland,

Julien Bogousslavsky

Publication year - 2001

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/hs1201.099714

Subject(s) - medicine , wavelet , transcranial doppler , pattern recognition (psychology) , patent foramen ovale , gold standard (test) , artificial intelligence , stenosis , radiology , computer science , percutaneous

Transcranial Doppler (TCD) can detect high-intensity transient signals (HITS) in the cerebral circulation. HITS may correspond to artifacts or solid or gaseous emboli. The aim of this study was to develop an offline automated Doppler system allowing the classification of HITS.

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