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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Into the wild: how living labs are being used to connect people with dementia to nature-a mini review.

Frontiers in dementia·2026
Same author

Cryo-electron microscopy structure of a zinc uptake ABC transporter.

Structure (London, England : 1993)·2026
Same author

Corrigendum to "Trends in gastric surgery operative experience among general surgery residents in the United States: A nationwide retrospective analysis" [Surgery 175 (2024) 1518-1523].

Surgery·2026
Same author

Structure and Dynamics of a Long-Acting Insulin Analog in Hexameric and Dihexameric States.

bioRxiv : the preprint server for biology·2026
Same author

Radiologic Evaluation and Comparative Analysis of First Metatarsal-Cuneiform Fusion Constructs Assessing Outcomes and Stability Across Varied Fusion Techniques.

Journal of the American Podiatric Medical Association·2026
Same author

Improving Communication in Dementia Care: Impact of an Undergraduate Unit on Knowledge, Confidence, and Practice.

Dementia (London, England)·2026

Related Experiment Video

Updated: May 14, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

Timing detection and seismocardiography waveform extraction.

Hoang Nguyen1, Jianzhong Zhang, Young-Han Nam

  • 1Dallas Technology Lab, Samsung Electronics, Richardson, Texas, USA. hnguyen2@sta.samsung.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

A novel method accurately extracts heart-beat timing from seismocardiogram (SCG) signals. This enables reliable heart rate monitoring using wearable devices without external references.

More Related Videos

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
09:05

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

Related Experiment Videos

Last Updated: May 14, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
09:05

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation

Published on: October 20, 2016

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Physiology
  • Signal Processing

Background:

  • Seismocardiography (SCG) captures mechanical vibrations of the heart.
  • Accurate heart-beat timing is crucial for SCG-based analysis.
  • Current methods may require complementary technologies like electrocardiography.

Purpose of the Study:

  • To develop a robust algorithm for extracting precise heart-beat timing from SCG signals.
  • To enable standalone heart rate monitoring using SCG.
  • To improve the quality of SCG waveform estimation.

Main Methods:

  • A new algorithm for identifying individual heartbeats within SCG time series.
  • Utilizing synchronized SCG waveform segments for time averaging.
  • Implementation of the algorithm for wearable device compatibility.

Main Results:

  • Successful extraction of accurate heart-beat timing from SCG data.
  • Demonstrated capability to derive heart rate information directly from SCG.
  • Improved SCG waveform clarity through time averaging of synchronized segments.

Conclusions:

  • The developed method provides a robust, standalone solution for heart-beat timing extraction from SCG.
  • This facilitates reliable heart rate monitoring and potential diagnostic applications using wearable SCG devices.
  • Eliminates the need for electrocardiography as a timing reference in SCG-based systems.