Implementation of Smartphone Based Blood Flow Diagnoses from Doppler Spectrogram

Abstract

This paper introduces a new scheme to identify the blood flow condition based on a processing of the Ultrasound Doppler spectrograms on an Android Smartphone. A set of blood flow spectrograms are processed to denoise and some features are extracted. These features are used in supervised classifiers (support vector machine and k-nearest neighbors) to detect… (More)
DOI: 10.1109/CBMS.2016.47

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