Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Digital models for arterial pressure and respiratory waveforms

I S Murthy1, G Sita

  • 1Department of Electrical Engineering, Indian Institute of Science, Bangalore.

IEEE Transactions on Bio-Medical Engineering
|August 1, 1993
PubMed
Summary

This study introduces digital models for arterial pressure pulse and respiratory volume waveforms using signal transformation techniques. These models efficiently represent complex physiological signals and aid in classifying respiratory patterns.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Severe inflammatory myopathy in a pulmonary carcinoma patient treated with Pembrolizumab: An alert for myologists.

Journal of neuromuscular diseases·2020
Same author

Postoperative risk factors influencing corneal graft survival in the Singapore corneal transplant study.

American journal of ophthalmology·2011
Same author

Wavelet domain nonlinear filtering for evoked potential signal enhancement.

Computers and biomedical research, an international journal·2001
Same author

Multilobated B cell lymphoma (Pinkus variant) with isolated muscular localization in a patient with systemic sclerosis: a case report.

Annals of hematology·1996
Same author

Rosai-Dorfman syndrome with extranodal localizations and response to glucocorticoids: a case report.

Haematologica·1996
Same author

ECG data compression by modeling.

Computers and biomedical research, an international journal·1993

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Physiological Modeling

Background:

  • Arterial pressure pulse (APP) and respiratory volume waveforms (RVW) are critical physiological signals.
  • Efficient digital modeling of these waveforms is essential for accurate analysis and interpretation.
  • Traditional methods may yield high-order models, limiting computational efficiency.

Purpose of the Study:

  • To develop efficient digital models for APP and RVW signals.
  • To utilize signal transformation and system identification techniques for model order reduction.
  • To explore the application of these models in classifying respiratory patterns.

Main Methods:

  • Discrete Cosine Transform (DCT) applied to APP and RVW signals.
  • Steiglitz-McBride (SM) pole-zero modeling for system function identification.

Related Experiment Videos

  • Partial Fraction Expansion (PFE) for component wave delineation.
  • Bayes classifier utilizing pole angles as feature vectors for RVW classification.

    • Main Results:

    • The SM technique yielded significantly lower-order system functions compared to direct methods.
    • Model order was effectively determined by spectral peaks in the DCT.
    • Pole and zero angles provided key signal features.
    • A Bayes classifier achieved satisfactory performance in distinguishing normal and abnormal respiratory pathways.

    Conclusions:

    • The proposed digital modeling approach offers an efficient method for representing APP and RVW signals.
    • The technique allows for effective feature extraction and classification of physiological data.
    • This model provides a foundation for advanced analysis of respiratory dynamics.