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Non-invasive aneurysm detection using digital signal processing.

F J Taylor, A S Ramnarayan, J Wasserman

    Journal of Biomedical Engineering
    |July 1, 1983
    PubMed
    Summary
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    A novel, low-cost, non-invasive system for aneurysm detection was developed using bio-acoustic eye data. The system analyzes power spectra to statistically estimate patient medical status, showing promising diagnostic validity.

    Area of Science:

    • Biomedical Engineering
    • Medical Diagnostics
    • Signal Processing

    Background:

    • Aneurysms pose significant health risks, necessitating early and accessible detection methods.
    • Current diagnostic tools can be invasive, costly, or limited in accessibility.
    • Non-invasive approaches using bio-acoustic data offer a promising alternative for widespread screening.

    Purpose of the Study:

    • To develop and evaluate a low-cost, non-invasive system for aneurysm detection.
    • To explore the use of bio-acoustic signals from the eye for medical status assessment.
    • To validate a diagnostic scheme based on spectral analysis and tree structures.

    Main Methods:

    • Captured and conditioned bio-acoustic data from patients' eyes.
    • Transformed bio-acoustic signals into the frequency domain, generating power spectra.

    Related Experiment Videos

  • Extracted medical state features from power spectra and input them into a double-linked tree structure.
  • Utilized the tree structure with medical class information for statistical estimation of patient status.

    • Main Results:

    • Developed and tested low-cost spectral analyzers for signal processing.
    • Demonstrated a system capable of transforming bio-acoustic signals into power spectra.
    • Successfully extracted relevant features for medical status assessment.
    • Experimental results on generated and patient data supported the diagnostic scheme's validity.

    Conclusions:

    • The developed low-cost, non-invasive system shows potential for aneurysm detection using eye bio-acoustic data.
    • The diagnostic scheme combining spectral analysis and tree structures is a valid approach for medical status estimation.
    • Further improvements in signal transducers are recommended for enhanced system performance.