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

Instantaneous Power01:22

Instantaneous Power

893
Instantaneous power is important in electrical circuits, mainly when dealing with sinusoidal input. Instantaneous power, denoted as p(t), results from the multiplication of the instantaneous voltage (v(t)) across an element and the instantaneous current (i(t)) flowing through it. This relationship adheres to the passive sign convention and represents a fundamental principle in electrical engineering.
893
Temperature Dependence on Reaction Rate02:55

Temperature Dependence on Reaction Rate

88.7K
The Collision Theory
Atoms, molecules, or ions must collide before they can react with each other. Atoms must be close together to form chemical bonds. This premise is the basis for a theory that explains many observations regarding chemical kinetics, including factors affecting reaction rates.
The collision theory is based on the postulates that (i) the reaction rate is proportional to the rate of reactant collisions, (ii) the reacting species collide in an orientation allowing contact between...
88.7K
The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

41.1K
While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...
41.1K
Regulation of Heart Rates01:31

Regulation of Heart Rates

3.8K
The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...
3.8K
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

6.2K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
6.2K
The Electromagnetic Spectrum02:37

The Electromagnetic Spectrum

64.9K
The electromagnetic spectrum consists of all the types of electromagnetic radiation arranged according to their frequency and wavelength. Each of the various colors of visible light has specific frequencies and wavelengths associated with them, and you can see that visible light makes up only a small portion of the electromagnetic spectrum. Because the technologies developed to work in various parts of the electromagnetic spectrum are different, for reasons of convenience and historical...
64.9K

You might also read

Related Articles

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

Sort by
Same author

Deep Learning-Based Diagnosis of Epithelial Ovarian Cancer from Whole-Slide Histopathology Images.

Diagnostics (Basel, Switzerland)·2026
Same author

Machine Learning-Based Prediction Model for Infectious Complications in Trauma and Its Association With In-Hospital Mortality.

World journal of surgery·2026
Same author

Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation study.

Nature communications·2026
Same author

Global, regional, and national burden of hypertensive heart disease in 1990-2021, with forecasts to 2050: a Global Burden of Disease Study 2021.

Clinical hypertension·2025
Same author

Potential gut-brain axis-targeted therapies for autism spectrum disorder in children: opportunities and challenges.

World journal of pediatrics : WJP·2025
Same author

Burden of Cardiovascular Outcomes After SARS-CoV-2 Infection in South Korea and Japan: A Binational Population-Based Cohort Study.

Circulation·2025

Related Experiment Video

Updated: Jan 26, 2026

Author Spotlight: Investigating HR-Dependent Cardiac Function in Mouse Models Through a Novel Atrial-Pacing Approach
07:49

Author Spotlight: Investigating HR-Dependent Cardiac Function in Mouse Models Through a Novel Atrial-Pacing Approach

Published on: July 21, 2023

1.9K

State-dependent Gaussian kernel-based power spectrum modification for accurate instantaneous heart rate estimation.

Heewon Chung1, Hooseok Lee1, Jinseok Lee1

  • 1Department of Biomedical Engineering, Wonkwang University College of Medicine, Iksan, Republic of Korea.

Plos One
|April 6, 2019
PubMed
Summary

This study introduces a novel algorithm to improve heart rate (HR) estimation from photoplethysmography (PPG) signals corrupted by motion artifacts (MAs). The method significantly reduces mean absolute error (MAE) for more accurate HR tracking during exercise.

More Related Videos

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
10:56

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

10.5K
Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
08:41

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

25.8K

Related Experiment Videos

Last Updated: Jan 26, 2026

Author Spotlight: Investigating HR-Dependent Cardiac Function in Mouse Models Through a Novel Atrial-Pacing Approach
07:49

Author Spotlight: Investigating HR-Dependent Cardiac Function in Mouse Models Through a Novel Atrial-Pacing Approach

Published on: July 21, 2023

1.9K
Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
10:56

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

10.5K
Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
08:41

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation

Published on: October 10, 2018

25.8K

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Wearable Technology

Background:

  • Estimating instantaneous heart rate (HR) from photoplethysmography (PPG) signals is challenging due to motion artifacts (MAs), especially during high-intensity exercise.
  • Existing algorithms using acceleration signals achieve a mean absolute error (MAE) of ~2 bpm but can deviate significantly (>5 bpm).

Purpose of the Study:

  • To develop an improved algorithm for accurate HR estimation from MA-corrupted PPG signals.
  • To enhance HR estimation accuracy by modifying the PPG signal's power spectrum and validating HR estimates in real-time.

Main Methods:

  • Modified the PPG signal's power spectrum using a Gaussian kernel and a previously validated HR estimate.
  • Employed a finite state machine framework for real-time validation of instantaneous HR estimates.
  • Validated the proposed algorithm against existing methods using the ISPC dataset (n=23) and an independent experiment (n=24).

Main Results:

  • The proposed algorithm reduced MAE from 6.73 bpm to 1.20 bpm (p < 0.001) compared to methods without MA cancellation.
  • Achieved a lower MAE than other state-of-the-art methods.
  • Demonstrated significant MAE reduction from 10.89 bpm to 2.14 bpm (p < 0.001) in a separate experiment.

Conclusions:

  • The developed algorithm effectively improves HR estimation accuracy from MA-contaminated PPG signals.
  • The method offers a significant advancement over existing techniques for HR monitoring during physical activity.
  • This approach holds promise for more reliable wearable HR monitoring devices.