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

Quantifying cardiac parasympathetic and sympathetic function based on a weighted-principal component regression

X Xiao1, R Mukkamala, R Cohen

  • 1Division of Health Science and Technology, Harvard-MIT, Cambridge, MA, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
Summary
This summary is machine-generated.

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

Teaching effectiveness of the advanced trauma life support program as demonstrated by an objective structured clinical examination for practicing physicians.

World journal of surgery·1996
Same author

The impact of gender on the choice of surgery as a career.

American journal of surgery·1996
Same author

Contingent negative variation (CNV) and determinants of the post-imperative negative variation (PINV) in schizophrenic patients and healthy controls.

Schizophrenia research·1996
Same author

Six-day amoxicillin vs. ten-day penicillin V therapy for group A streptococcal tonsillopharyngitis.

The Pediatric infectious disease journal·1996
Same author

The impact of performance uncertainty on the postimperative negative variation.

Psychophysiology·1996
Same author

Attrition of cognitive and trauma management skills after the Advanced Trauma Life Support (ATLS) course.

The Journal of trauma·1996

This study introduces a novel weighted-principal component regression method for accurately measuring cardiac autonomic indices. This technique improves the quantitative evaluation of autonomic cardiovascular control using noninvasive methods.

Area of Science:

  • Cardiovascular physiology
  • Autonomic nervous system function
  • Biomedical signal processing

Background:

  • Quantitative evaluation of autonomic cardiovascular control is crucial for understanding disease mechanisms and patient management.
  • Noninvasive techniques are highly sought after for assessing autonomic function.
  • Previous methods relied on impulse response between lung volume and heart rate, facing challenges in complex closed-loop systems.

Purpose of the Study:

  • To propose a new system identification technique for accurately extracting pure parasympathetic and sympathetic indices.
  • To overcome limitations of conventional methods in identifying dual-input, single-output closed-loop systems.
  • To enhance the quantitative evaluation of autonomic cardiovascular control.

Main Methods:

Related Experiment Videos

  • Development of a novel system identification technique using weighted-principal component regression.
  • Asymptotic implementation of model selection in the frequency domain.
  • Balancing bias-variance trade-off for minimized mean squared prediction error.

Main Results:

  • The proposed technique allows data to significantly influence model selection, unlike conventional methods.
  • Estimated model parameters achieve a favorable bias-variance trade-off, leading to reduced prediction error.
  • Experimental data validated the superiority of this technique over traditional methods for cardiac autonomic index measurement.

Conclusions:

  • The weighted-principal component regression method offers a superior approach for measuring cardiac autonomic indices.
  • This advancement enhances the noninvasive assessment of autonomic cardiovascular control.
  • The technique provides a more robust and accurate method for clinical and research applications.