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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by
Same author

Canonical coherence for the estimation of within- and cross-frequency cortico-kinematic interactions.

Scientific reports·2026
Same author

Developmental emergence of sparse and structured synaptic connectivity in the hippocampal CA3 memory circuit.

Nature communications·2026
Same author

The deep brain stimulation response network in Parkinson's disease operates in the high beta band.

Brain : a journal of neurology·2026
Same author

An EEG correlation framework to study state anxiety and learning under uncertainty.

Journal of neural engineering·2026
Same author

Spatial signature of low-frequency network changes accounts for pallidal stimulation outcome in cervical dystonia.

EBioMedicine·2026
Same author

Cardiac cycle modulates alpha and beta suppression during motor imagery.

Cerebral cortex (New York, N.Y. : 1991)·2024

Related Experiment Video

Updated: Jun 3, 2026

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
09:29

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Published on: May 15, 2019

BioSig: the free and open source software library for biomedical signal processing.

Carmen Vidaurre1, Tilmann H Sander, Alois Schlögl

  • 1Berlin Institute of Technology, Department of Software Engineering and Theoritical Computer Science, Berlin, Germany.

Computational Intelligence and Neuroscience
|March 26, 2011
PubMed
Summary

BioSig is an open-source software library that aids researchers in biomedical signal processing. It offers tools for analyzing various biosignals, enhancing efficiency in research across multiple disciplines.

More Related Videos

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Related Experiment Videos

Last Updated: Jun 3, 2026

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
09:29

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Published on: May 15, 2019

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Neuroscience

Background:

  • Biomedical signal processing is crucial for research in diverse fields.
  • Open-source tools facilitate wider adoption and collaboration in scientific research.
  • Efficient analysis of biosignals like EEG, ECG, and EMG is essential for advancing medical understanding.

Purpose of the Study:

  • To introduce BioSig, an open-source software library for biomedical signal processing.
  • To foster research in biomedical signal processing through accessible software tools.
  • To provide methods for efficient work with biomedical signals for students and researchers.

Main Methods:

  • Development and provision of an open-source software library (BioSig).
  • Implementation of solutions for data acquisition, artifact processing, and quality control.
  • Integration of algorithms for feature extraction, classification, modeling, and data visualization.

Main Results:

  • BioSig supports analysis across various application areas, including neuroinformatics, brain-computer interfaces, and cardiovascular research.
  • The library handles diverse biosignals such as electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG).
  • BioSig offers comprehensive functionalities from data preprocessing to advanced analysis and visualization.

Conclusions:

  • BioSig serves as a valuable, free, and open-source resource for the biomedical signal processing community.
  • The software library empowers researchers and students to work more efficiently with complex biosignal data.
  • Continued development and use of BioSig can accelerate advancements in fields relying on biosignal analysis.