Segmentation of TCD Cerebral Blood Flow Velocity Recordings

2018/06/24 by Wadehn, Federico, Fanelli, Andrea, Heldt, Thomas
#FOS: Electrical engineering #FOS: Physical sciences #Medical Physics (physics.med-ph) #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.1806.09994

Abstract

A binary beat-by-beat classification algorithm for cerebral blood flow velocity (CBFV) recordings based on amplitude, spectral and morphological features is presented. The classification difference between 15 manually and algorithmically annotated CBFV records is around 5%.

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