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

Cleaning, Sterilization, and Disinfection01:30

Cleaning, Sterilization, and Disinfection

9.7K
Cleaning, disinfection, and sterilization are the methods that help to break the infection chain and prevent disease.
Cleaning
The cleaning process usually involves using water with detergents or enzymatic cleaner and removing foreign material from objects and surfaces, including organic material such as body fluids or inorganic material like soil. Cleaning is performed before high-level disinfection and sterilization because foreign materials on the cover of the devices interfere with process...
9.7K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

399
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
399
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.0K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.0K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

43.0K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
43.0K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

301
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
301

You might also read

Related Articles

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

Sort by
Same author

Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

The neurotoxic legacy of CAR-T cells: where do we stand?

Therapeutic advances in neurological disorders·2026
Same author

Digital twins support cross-modal and cross-centric classification of mild cognitive impairment.

Communications medicine·2026
Same author

Deep-Meg: A deep learning approach for magnetoencephalograhic inverse problem solutions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Spatiotemporal brain complexity quantifies consciousness outside of perturbation paradigms.

eLife·2025
Same author

Magnetoencephalographic source localization and reconstruction via deep learning.

Frontiers in neuroscience·2025
Same journal

Effects of CFR-PEEK plate layup and screw configuration on tibial shaft fracture healing: a simulation study based on a mechanobiological model.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Metabolic rate-limiting enzyme-associated genes as novel biomarkers for prognosis and treatment response in lung adenocarcinoma.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

An interpretable, clinically-aligned AI paradigm for VTE risk prediction: an approach using LLMs and compound attention.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Effects of different resistance loads during resisted sprint running on internal stresses of the ankle joint: a finite element analysis.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Analysis of typical cases of medical infusion pump metering acceptance in nursing scenarios.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Investigation of biomechanical effect of inverted orthotic insoles on flexible flatfeet.

Computer methods in biomechanics and biomedical engineering·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

An automated magnetoencephalographic data cleaning algorithm.

Antonietta Sorriso1, Pierpaolo Sorrentino1,2, Rosaria Rucco2,3

  • 1Department of Engineering, University "Parthenope" , Naples , Italy.

Computer Methods in Biomechanics and Biomedical Engineering
|July 17, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for cleaning magnetoencephalographic (MEG) data, simplifying a complex process. The new approach matches expert manual cleaning results, offering an easier and reproducible alternative.

Keywords:
Magnetoencephalography (MEG)automated artifact removalbad datanoise reduction

More Related Videos

Proper Care and Cleaning of the Microscope
04:57

Proper Care and Cleaning of the Microscope

Published on: August 11, 2008

45.2K
User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

4.0K

Related Experiment Videos

Last Updated: Jan 22, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K
Proper Care and Cleaning of the Microscope
04:57

Proper Care and Cleaning of the Microscope

Published on: August 11, 2008

45.2K
User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

4.0K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Magnetoencephalography (MEG) data cleaning is crucial for accurate analysis.
  • Current denoising methods are complex to implement and tune.
  • Manual cleaning by experts is the current standard but is time-consuming and subjective.

Purpose of the Study:

  • To develop an automated approach for cleaning magnetoencephalographic data.
  • To simplify the data cleaning process for researchers.
  • To ensure reproducibility and objectivity in MEG data preprocessing.

Main Methods:

  • An algorithm was designed to replicate the manual cleaning reasoning of trained experts.
  • The automated approach was developed for ease of implementation and use.
  • Statistical analysis was performed to compare automated and manual cleaning outcomes.

Main Results:

  • The automated cleaning approach demonstrated ease of implementation and use.
  • The algorithm provided reproducible results.
  • Statistical analysis revealed no significant differences between automated and manual cleaning methods.

Conclusions:

  • The proposed automated method effectively cleans magnetoencephalographic data.
  • This approach offers a reproducible and user-friendly alternative to manual cleaning.
  • Automating MEG data cleaning can improve research efficiency and consistency.