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A transputer-based physiological signal processing system. Part 1--System design

D M Cowan1, E R Deane, T M Robinson

  • 1Department of Medical Engineering & Physics, King's College School of Medicine & Dentistry, London, UK.

Medical Engineering & Physics
|September 1, 1995
PubMed
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This study introduces a transputer-based digital signal processing (DSP) system for detecting early arterial disease. The system uses a DSP board with a T800 processor and Doppler ultrasound for real-time spectral analysis of blood flow.

Area of Science:

  • Biomedical Engineering
  • Medical Signal Processing
  • Cardiovascular Diagnostics

Background:

  • Early detection of arterial disease is crucial for effective treatment.
  • Existing diagnostic methods may lack the resolution or real-time capabilities for subtle changes.
  • Advanced signal processing offers potential for improved non-invasive diagnostics.

Purpose of the Study:

  • To detail the design and in-vitro testing of a novel transputer-based physiological signal processing system.
  • To develop a system capable of real-time spectral analysis for early arterial disease detection.
  • To integrate a digital signal processing (DSP) board with a pulsed Doppler ultrasound scanner.

Main Methods:

  • Design and construction of a transputer-based DSP board featuring a T800 processor, A100 transversal filters, and 12-bit A-D converters.

Related Experiment Videos

  • Integration of the DSP board with a multigate pulsed Doppler ultrasound scanner (4.8 MHz).
  • Real-time Fourier transform processing of backscattered ultrasound signals from discrete flow areas (0.6 mm3).

    • Main Results:

    • The developed DSP board functions as a stand-alone spectrum analyser up to 25 kHz.
    • The integrated system provides real-time spectral information across the vessel lumen.
    • Hardware design and initial in-vitro capabilities for detecting arterial disease indicators are established.

    Conclusions:

    • The transputer-based DSP system represents a viable hardware platform for advanced physiological signal processing.
    • The system's architecture is suitable for real-time analysis of Doppler ultrasound data.
    • This foundational work sets the stage for performance evaluation in detecting low-grade stenoses.