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

Binary Fission01:26

Binary Fission

3.1K
Binary fission is the primary mode of asexual reproduction in prokaryotes, such as bacteria. It results in the production of two genetically identical daughter cells. This highly efficient process ensures the rapid propagation of bacterial populations under favorable conditions and involves coordinated cellular and molecular events.DNA Replication and SeparationThe process begins with the replication of the bacterial chromosome. The circular DNA molecule unwinds at a specific origin of...
3.1K
Binary Fission01:20

Binary Fission

63.8K
Fission is the division of a single entity into two or more parts, which regenerate into separate entities that resemble the original. Organisms in the Archaea and Bacteria domains reproduce using binary fission, in which a parent cell splits into two parts that can each grow to the size of the original parent cell. This asexual method of reproduction produces cells that are all genetically identical.
63.8K
Self-Locking Screw01:16

Self-Locking Screw

2.5K
A square-threaded screw jack is a mechanical device widely used for lifting heavy loads or applying considerable force. One of the key features that can make a screw jack more effective and reliable is its self-locking capability.
A square-threaded screw jack carrying a load is considered self-locking if the screw retains its position even after the moment applied to it is removed.
2.5K
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

1.8K
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
1.8K
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

4.2K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
4.2K
Hand hygiene01:23

Hand hygiene

6.0K
Asepsis is the practice of preventing or breaking the chain of infection. The nurse employs aseptic techniques to prevent the spread of microorganisms and reduce the risk of diseases. Hand hygiene is the cornerstone of aseptic techniques and is classified into medical and surgical asepsis. Medical asepsis includes hand hygiene and the use of gloves. Surgical asepsis, or the sterile technique, refers to practices that render and keep objects and areas free of microorganisms.
Hand washing...
6.0K

You might also read

Related Articles

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

Sort by
Same author

Neuroscience-Inspired Hierarchical GNN for Grasping Attempt Classification.

IEEE journal of biomedical and health informatics·2026
Same author

Application of Filter Bank to Improve Fatigue Monitoring in Wearable EEG-Based Brain-Computer Interface.

NeuroSci·2026
Same author

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Enhancing the performance of a deep convolutional neural network model for motor imagery classification using EEG channel-wise attention module.

Medical engineering & physics·2026
Same author

Decoupled Hierarchical Distillation for Multimodal Emotion Recognition.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

EEG-to-gait decoding via phase-aware representation learning.

Neural networks : the official journal of the International Neural Network Society·2026

Related Experiment Video

Updated: Feb 5, 2026

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

18.4K

Wavlet phase-locking based binary classification of hand movement directions from EEG.

Tushar Chouhan1, Neethu Robinson1, A P Vinod2

  • 1School of Computer Science and Engineering, Nanyang Technological University, Singapore.

Journal of Neural Engineering
|September 6, 2018
PubMed
Summary

A new wavelet phase-locking value (W-PLV) method decodes hand movement direction from EEG signals. This approach achieves 76.85% accuracy, revealing direction-specific brain signal patterns.

More Related Videos

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

15.2K
Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation
07:52

Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation

Published on: June 17, 2013

40.4K

Related Experiment Videos

Last Updated: Feb 5, 2026

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
12:07

Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000

Published on: July 29, 2009

18.4K
Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

15.2K
Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation
07:52

Simultaneous EEG Monitoring During Transcranial Direct Current Stimulation

Published on: June 17, 2013

40.4K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Brain-computer interfaces (BCIs) often decode limb movements using amplitude-based features from electroencephalography (EEG).
  • Phase synchrony, a measure of functional connectivity, is underexplored for analyzing directional hand movements from EEG.
  • Existing methods have limitations in capturing the nuanced directional information within motor-related brain signals.

Purpose of the Study:

  • To introduce and validate a novel phase-locking-based feature extraction method, Wavelet Phase-Locking Value (W-PLV), for analyzing directional hand movements.
  • To investigate the efficacy of W-PLV in classifying single-trial hand movement directions using EEG data.
  • To explore the presence and distribution of directional information across different frequency bands within EEG signals.

Main Methods:

  • Collected EEG data from seven subjects performing right-hand movements in four orthogonal directions.
  • Developed and applied the W-PLV method to analyze synchronous EEG channel-pairs.
  • Classified hand movement directions using W-PLV features across various wavelet levels.

Main Results:

  • The W-PLV method achieved a mean binary classification accuracy of 76.85% across subjects.
  • Direction-dependent information was identified in multiple wavelet levels of the EEG signals.
  • Significant directional information was found in both slow cortical potentials (<1 Hz) and higher frequency bands (⩽12 Hz).

Conclusions:

  • W-PLV is an effective method for extracting discriminative features from EEG for directional hand movement classification.
  • Phase-locking patterns in EEG contain valuable information for decoding movement direction, even in single trials.
  • The findings highlight the potential of W-PLV for advancing BCIs and understanding motor control mechanisms.