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

Steady State Concentration01:05

Steady State Concentration

6.1K
A steady state refers to the level of a drug in the body once it has reached an equilibrium between administration and elimination. It represents the point at which the drug administration rate equals the drug elimination rate, resulting in a relatively constant concentration in the body over time. The dynamic equilibrium is crucial to ensure the drug's effectiveness with minimal risk of toxicity.
Most drugs are administered in repeated doses at fixed intervals or through continuous...
6.1K
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

773
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
773
Transient and Steady-state Response01:24

Transient and Steady-state Response

590
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
590
Velocity and Acceleration in Steady and Unsteady Flow01:11

Velocity and Acceleration in Steady and Unsteady Flow

419
In fluid mechanics, velocity and acceleration are key concepts for analyzing particle motion in both steady and unsteady flow. Consider a fluid particle moving along a pathline, where its velocity depends on its position and time. The particle's acceleration is obtained by differentiating the velocity with respect to time.
The acceleration can be generalized to any point in the flow, and expressed as components along three perpendicular directions, representing changes in velocity over...
419
Potential Energy00:52

Potential Energy

42.9K
The energy stored by a structure and location of matter in space is called potential energy. For instance, raising a kettlebell changes its spatial location and increases its potential energy. Similarly, a stretched rubber band contains potential energy which, under certain conditions, can be converted into other forms of energy, such as kinetic energy.
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
42.9K
Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

892
Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
892

You might also read

Related Articles

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

Sort by
Same author

Optimization of stimulus color for peripheral SSVEP-based brain-computer interfaces.

Frontiers in human neuroscience·2026
Same author

Thalamic Subregion Alterations and Short-Chain Fatty Acids in Schizophrenia and Ultra-High-Risk Individuals: A Cross-Sectional Study.

Alpha psychiatry·2026
Same author

Intermittent theta burst stimulation enhances the efficacy of brain-computer interface in upper limb rehabilitation post-stroke.

Frontiers in neurology·2026
Same author

Coastal saltmarshes as nature-based solutions for pesticide mitigation through groundwater-surface water interactions.

Water research·2026
Same author

Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI.

Cyborg and bionic systems (Washington, D.C.)·2026
Same author

PFOA/PFOS induce ferroptosis in bladder epithelial cells through inhibition of ACSL4 ubiquitination.

Frontiers in toxicology·2026

Related Experiment Video

Updated: Feb 12, 2026

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.9K

A study on dynamic model of steady-state visual evoked potentials.

Shangen Zhang1, Xu Han1, Xiaogang Chen2

  • 1Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, People's Republic of China.

Journal of Neural Engineering
|April 5, 2018
PubMed
Summary

Researchers developed a new dynamic model for steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCI). This model helps understand transient responses and shows pre-stimulation can improve BCI performance.

More Related Videos

Visual Evoked Potential Recording in a Rat Model of Experimental Optic Nerve Demyelination
06:49

Visual Evoked Potential Recording in a Rat Model of Experimental Optic Nerve Demyelination

Published on: July 29, 2015

12.8K
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.5K

Related Experiment Videos

Last Updated: Feb 12, 2026

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.9K
Visual Evoked Potential Recording in a Rat Model of Experimental Optic Nerve Demyelination
06:49

Visual Evoked Potential Recording in a Rat Model of Experimental Optic Nerve Demyelination

Published on: July 29, 2015

12.8K
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

6.5K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCI) have advanced significantly.
  • Understanding the dynamic and transient response of SSVEP signals remains a challenge for improving BCI performance.

Purpose of the Study:

  • To develop a quantitative dynamic model for SSVEP transient responses.
  • To investigate the effect of pre-stimulation paradigms on SSVEP dynamic model parameters.
  • To explore methods for enhancing SSVEP-BCI performance.

Main Methods:

  • Introduced an antiphase stimulation method to separate SSVEP from EEG and eliminate event-related potential (ERP) interference.
  • Extracted SSVEP signal envelopes using the Hilbert transform.
  • Applied mathematical modeling, fitting the SSVEP envelope to a second-order linear system's step response, characterized by four parameters (amplitude, latency, frequency).

Main Results:

  • The dynamic model demonstrated a good fit for SSVEP signals under various pre-stimulation paradigms.
  • Pre-stimulation baseline luminance was found to modulate the parameters of the SSVEP dynamic model.
  • Gray baseline luminance pre-stimulation yielded the highest performance.

Conclusions:

  • A novel dynamic model was proposed to better understand and utilize SSVEP transient characteristics.
  • Pre-stimulation techniques can effectively adjust SSVEP dynamic model parameters.
  • The findings suggest pre-stimulation has significant potential for improving SSVEP-BCI performance.