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

Real-time heart rate variability extraction using the Kaiser window

S R Seydnejad1, R I Kitney

  • 1Department of Electrical Engineering, Imperial College, London, U.K. s.seydnejad@ic.ac.uk

IEEE Transactions on Bio-Medical Engineering
|October 6, 1997
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

Rapid Prototyping Platform for Saccharomyces cerevisiae Using Computer-Aided Genetic Design Enabled by Parallel Software and Workcell Platform Development.

SLAS technology·2018
Same author

Synthetic biology in the UK - An outline of plans and progress.

Synthetic and systems biotechnology·2017
Same author

Cartilage thickness visualization using 2D WearMaps and TrackBack.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2007
Same author

An MRI derived articular cartilage visualization framework.

Osteoarthritis and cartilage·2007
Same author

Geometric Framework linking different levels of the Biological Continuum.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
Same author

Miniature ultrasonic probe construction for minimal access surgery.

Physics in medicine and biology·2004
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026
Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

IEEE transactions on bio-medical engineering·2026
Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026
Same journal

A Low-Cost Wearable TI-TACS Stimulator With Bipolar Quadratic-Boost Converter for Current Stimulation Validation in the Rat Brain.

IEEE transactions on bio-medical engineering·2026
Same journal

EMG-Based Gait Estimation Using Koopman-Inspired Method.

IEEE transactions on bio-medical engineering·2026
See all related articles

A novel method accurately detects heart rate variability (HRV) in real-time using the integral pulse frequency modulation (IPFM) model. This approach also enables offline analysis and introduces real-time bandpass filtering for enhanced HRV investigation.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Heart rate variability (HRV) analysis is crucial for assessing autonomic nervous system function.
  • Existing methods for HRV detection can be computationally intensive or lack real-time capabilities.

Purpose of the Study:

  • To introduce a novel, computationally efficient method for real-time and offline heart rate variability (HRV) detection.
  • To validate the efficacy of low-pass filtering in HRV analysis.

Main Methods:

  • Developed a real-time HRV detection method based on the integral pulse frequency modulation (IPFM) model.
  • Implemented low-pass filtering with a Kaiser window for signal processing.
  • Introduced real-time bandpass filtering as a novel HRV investigation technique.

Related Experiment Videos

  • Developed a discrete time-domain version of the French-Holden algorithm.

    • Main Results:

    • The proposed method effectively detects HRV from the R-wave signal in real-time.
    • Low-pass filtering was demonstrated to be an ideal method for HRV detection.
    • The algorithm facilitates both time and frequency domain offline HRV analysis.

    Conclusions:

    • The presented IPFM-based method offers a robust solution for real-time and offline HRV analysis.
    • Real-time bandpass filtering is a valuable addition to HRV investigation methods.
    • The study confirms the theoretical and practical advantages of low-pass filtering in HRV detection.