Ultrasonic Blood Flow Sensing using Doppler Velocimetry

Autor: Matthew Micheli, Daniel Arroyo, Martin Kocanda, Jeremy Hillard, Michelle Case
Rok vydání: 2013
Předmět:
Zdroj: International Journal on Smart Sensing and Intelligent Systems, Vol 6, Iss 4 (2013)
ISSN: 1178-5608
DOI: 10.21307/ijssis-2017-591
Popis: Ultrasonic blood flow sensing is a non-invasive method for measuring blood flow velocity. The objective of this work is to produce a low-cost ultrasonic blood flow instrument utilizing Doppler shifted signals and enhanced signal processing methods. The instrument transmits a single-frequency signal into circulatory tissues and receives a signal that is Doppler shifted in proportion to velocity. Subsequent processing techniques produce an audio feedback signal whereby the user “hears” the flow characteristics. The circuit used consists of a transmitter, receiver, and frequency shifter. Signal processing is performed externally to produce velocity profiles of arterial blood flow using Matlab™ to create spectrograms and low-pass filtering on the recorded feedback signals. Spectrogram provide mapping of the velocity profiles. Resultant mapping indicate that velocity profiles have a roughly parabolic shape and that filtering is required to reduce high frequency noise. Signals were obtained using multiple cardiac stressors to determine the flow sensing performance.
Databáze: OpenAIRE