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

Rapidly Varying Flow01:24

Rapidly Varying Flow

166
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
166
Variability: Analysis01:11

Variability: Analysis

231
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
231
Regulation of Pulse01:20

Regulation of Pulse

1.6K
Pulse regulation involves physiological mechanisms that ensure adequate blood flow throughout the body. The heartbeat, regulated by the autonomic nervous system, is influenced by hormonal balance, physical activity, and emotional state.
1.6K
Hazard Rate01:11

Hazard Rate

213
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
213
Random Error01:04

Random Error

3.4K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
3.4K
Assessment of Ventilation I: Respiratory Rate01:20

Assessment of Ventilation I: Respiratory Rate

1.4K
Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
1.4K

You might also read

Related Articles

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

Sort by
Same author

Beta-band power modulation in the human amygdala during a delayed reach task.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2025
Same author

Beta-band power modulation in the human amygdala differentiates between go/no-go responses in an arm-reaching task.

Journal of neural engineering·2024
Same author

Beta-band power classification of go/no-go arm-reaching responses in the human hippocampus.

Journal of neural engineering·2024
Same author

A unified approach of detecting phase transition in time-varying complex networks.

Scientific reports·2023
Same author

Inferring functional communities from partially observed biological networks exploiting geometric topology and side information.

Scientific reports·2022
Same author

Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks.

Scientific reports·2019
Same journal

Associations between visual skills and serve reception performance in elite male volleyball outside hitters.

Frontiers in physiology·2026
Same journal

Neuromuscular performance of the glenohumeral joint in young female tennis players: a cross-sectional study.

Frontiers in physiology·2026
Same journal

The myofascial rheostat: hyaluronan molecular weight dynamics and purinergic signalling as a physiological feedback system.

Frontiers in physiology·2026
Same journal

Effects of aquatic exercise on pain and physical function in overweight/obese patients with lower limb osteoarthritis: a systematic review and meta-analysis.

Frontiers in physiology·2026
Same journal

Effects of plyometric training on different surfaces on lower-limb power, dynamic balance, and agility in male collegiate tennis players.

Frontiers in physiology·2026
Same journal

Integrated serum metabolomics reveals severity-associated exploratory metabolic signatures in burn patients.

Frontiers in physiology·2026
See all related articles

Related Experiment Video

Updated: Oct 9, 2025

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

2.8K

Bursting Rate Variability.

Roberto Martin Del Campo Vera1, Edmond Jonckheere2

  • 1Department of Neurological Surgery, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Frontiers in Physiology
|December 20, 2021
PubMed
Summary
This summary is machine-generated.

A new phenomenon, Bursting Rate Variability (BRV), is identified in electromyography (sEMG) signals. BRV exhibits variability in burst timing, differing between control and quadriplegic subjects.

Keywords:
Akaike and Bayes information criteriaDaubechiesHeart Rate Variabilitybursting activitydoubletselectromyogramreturn time distribution

More Related Videos

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

6.1K
Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

24.0K

Related Experiment Videos

Last Updated: Oct 9, 2025

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

2.8K
Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
05:04

Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task

Published on: September 21, 2017

6.1K
Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

24.0K

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Signal Processing

Background:

  • Surface electromyography (sEMG) is crucial for assessing muscle activity.
  • Understanding neuromuscular control requires advanced signal analysis techniques.
  • Existing methods may not fully capture subtle variations in neural discharge patterns.

Purpose of the Study:

  • To introduce and characterize a novel electromyographic phenomenon: Bursting Rate Variability (BRV).
  • To investigate the relationship between sEMG bursts and wavelet decomposition features.
  • To explore potential differences in BRV between healthy and neurologically impaired individuals.

Main Methods:

  • Utilized Daubechies 3 (db3) wavelet decomposition to analyze sEMG signals.
  • Identified synchronous wavelet packets ('D8 doublets') in the D8 subband.
  • Applied statistical waveform matching for burst time-localization.
  • Analyzed the empirical distribution of burst return times.

Main Results:

  • Discovered Bursting Rate Variability (BRV) characterized by variable timing between sEMG bursts.
  • Found sEMG bursts are synchronous with 'D8 doublets' in db3 wavelet decomposition.
  • Observed significant differences in BRV's empirical distribution between control and quadriplegic subjects.
  • Reported an average BRV rate of 60-88 bursts per minute in human subjects.

Conclusions:

  • BRV represents a distinct electromyographic phenomenon linked to neuronal discharge patterns.
  • BRV analysis offers a new method for differentiating neuromuscular states.
  • The findings suggest a potential link between BRV and Heart Rate Variability (HRV).