ULTRASONIC BLOOD FLOW SENSING USING DOPPLER VELOCIMETRY

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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eISSN: 1178-5608

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VOLUME 6 , ISSUE 4 (September 2013) > List of articles

ULTRASONIC BLOOD FLOW SENSING USING DOPPLER VELOCIMETRY

Michelle Case / Matthew Micheli / Daniel Arroyo / Jeremy Hillard / Martin Kocanda

Keywords : cardiac sensing, digital filters, Doppler Effect, Matlab™, signal processing, spectrogram, ultrasonic flow meter, velocimetry, velocity profiles.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 4, Pages 1,298-1,316, DOI: https://doi.org/10.21307/ijssis-2017-591

License : (CC BY-NC-ND 4.0)

Received Date : 23-June-2013 / Accepted: 10-August-2013 / Published Online: 03-September-2013

ARTICLE

ABSTRACT

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.

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REFERENCES

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