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

Improving storage efficiency of vector quantization codebook for physiological quasi-periodic signals.

S G Miaou1, K T Chen

  • 1Department of Electronic Engineering, Chung-Yuan Christian University, Chung-Li, 320 Taiwan, ROC. miaou@wavelet.el.cycu.edu.tw

Medical Engineering & Physics
|September 12, 2001
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

Anomalous vertebral artery course causing radiculopathy: A case report and review of relevant literature.

Brain & spine·2026
Same author

Generative Adversarial Network-Enhanced Ultra-Low-Dose [<sup>18</sup>F]-PI-2620 τ PET/MRI in Aging and Neurodegenerative Populations.

AJNR. American journal of neuroradiology·2023
Same author

Investigating Simultaneity for Deep Learning-Enhanced Actual Ultra-Low-Dose Amyloid PET/MR Imaging.

AJNR. American journal of neuroradiology·2022
Same author

The Effect of Breast Cancer Subtype on Symptom Improvement Following Palliative Radiotherapy for Bone Metastases.

Clinical oncology (Royal College of Radiologists (Great Britain))·2021
Same author

[Cochleo-vestibular lesions and prognosis in patients with profound sudden sensorineural hearing loss: a comparative analysis].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2020
Same author

[Clinical characteristics and etiological analysis of sudden deafness patients with vertigo].

Zhonghua yi xue za zhi·2019
Same journal

Development and experimental characterization of a cadaveric stance simulator for residual limb biomechanics.

Medical engineering & physics·2026
Same journal

Rapid personalized computational modeling of the wrist.

Medical engineering & physics·2026
Same journal

SHAP-enabled explainable AI framework for clinical interpretation of valvular heart diseases via digital acoustic features.

Medical engineering & physics·2026
Same journal

Three-dimensional motion analysis of a total wrist prosthesis during the dart-throwing motion: a cadaveric study.

Medical engineering & physics·2026
Same journal

Patient-specific left ventricular hypertrophy under severe hypertension: mechanistic insights from Hill-type computational simulations.

Medical engineering & physics·2026
Same journal

Enabling laboratory-based personalization of musculoskeletal spine models: a standardized rail-guided ultrasound method.

Medical engineering & physics·2026
See all related articles

This study introduces methods to reduce redundancy in vector quantization (VQ) codebooks for quasi-periodic physiological signals like ECG. Algorithms effectively decrease codebook size with minimal impact on signal quality.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Data Compression

Background:

  • Quasi-periodic physiological signals, such as electrocardiograms (ECG), exhibit period and amplitude variations.
  • Vector quantization (VQ) is a widely used signal compression technique.
  • The inherent periodicity of quasi-periodic signals leads to data redundancy in VQ codebooks, reducing storage efficiency.

Purpose of the Study:

  • To address codebook (CB) redundancy in VQ for physiological quasi-periodic signals.
  • To enhance storage efficiency for compressing these signals.
  • To develop and evaluate quantitative measures and algorithms for CB redundancy reduction.

Main Methods:

  • A quantitative measure for assessing codebook redundancy was developed.

Related Experiment Videos

  • Two novel algorithms were proposed to reduce codebook redundancy, utilizing a mixed one- and two-dimensional codebook structure.
  • The first algorithm applied redundancy reduction directly to the codebook; the second employed an LBG-like training algorithm for optimized codebook generation.

    • Main Results:

    • Both proposed algorithms effectively reduced codebook redundancy with negligible loss in signal quality.
    • The first algorithm achieved a 40% reduction in codebook storage space with an average PRD of 10.87%.
    • The second algorithm yielded a significant 75% reduction in codebook storage space and a lower average PRD of 10.27% compared to the original MSVQ (10.78%).

    Conclusions:

    • The developed algorithms offer effective solutions for reducing codebook redundancy in VQ of quasi-periodic physiological signals.
    • The second algorithm provides superior storage efficiency and signal fidelity, outperforming existing methods like MSVQ.
    • These findings contribute to more efficient storage and compression of vital physiological data.