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

Microbial Biosensors01:17

Microbial Biosensors

88
Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
88

You might also read

Related Articles

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

Sort by
Same author

Combining Video Magnification with Machine Learning-Based Source Identification for Contactless Heart Rate Monitoring.

Sensors (Basel, Switzerland)·2026
Same author

Characterisation of thigh-based electrocardiography (ECG) across different pathologies.

Scientific reports·2026
Same author

Single-lead Thigh ECG Dataset (tOLIet) with Analysis of BMI Effects on Cardiac Signal Quality.

Scientific data·2026
Same author

Physical Activity Prevalence and Sex-Associated Factors Among University Students During the First Year of the COVID-19 Pandemic: A Cross-Sectional Study.

Sports (Basel, Switzerland)·2026
Same author

Machine learning for the prediction of atrial fibrillation recurrence after catheter ablation: A systematic review and meta-analysis.

Computer methods and programs in biomedicine·2026
Same author

Association of grip indicators with post-discharge recovery in geriatric and hip fracture inpatients.

Experimental gerontology·2025

Related Experiment Video

Updated: May 1, 2026

Mapping Infant Immunity with Minimal Input: Integrative Single-cell and Multiomic Profiling
09:04

Mapping Infant Immunity with Minimal Input: Integrative Single-cell and Multiomic Profiling

Published on: April 3, 2026

106

BIT: Biosignal Igniter Toolkit.

Hugo Plácido da Silva1, André Lourenço2, Ana Fred3

  • 1Instituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisboa, Portugal.

Computer Methods and Programs in Biomedicine
|April 15, 2014
PubMed
Summary

This study introduces a low-cost, versatile toolkit to boost engagement with biosignals for students and researchers. The accessible hardware and software facilitate practical projects and experimental activities in various scientific fields.

Keywords:
BiosignalsInstrumentationPervasive computingRapid prototypingSignal processing

More Related Videos

Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.1K
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.9K

Related Experiment Videos

Last Updated: May 1, 2026

Mapping Infant Immunity with Minimal Input: Integrative Single-cell and Multiomic Profiling
09:04

Mapping Infant Immunity with Minimal Input: Integrative Single-cell and Multiomic Profiling

Published on: April 3, 2026

106
Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

11.1K
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.9K

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Electrical Engineering
  • Informatics

Background:

  • Biosignals traditionally associated with health sciences, now interest diverse fields.
  • High cost and limited resources hinder practical biosignal applications.
  • Need for accessible tools to foster wider engagement in biosignal studies.

Purpose of the Study:

  • To present a versatile, low-cost toolkit for biosignal acquisition and processing.
  • To enhance accessibility and engagement in biosignal-related experimental activities and projects.
  • To support educational, research, and prototyping needs across disciplines.

Main Methods:

  • Development of a modular, wireless biosignal acquisition hardware system.
  • Creation of a software suite including programming APIs and a biosignal processing toolbox.
  • Implementation of a framework for real-time data acquisition and postprocessing.

Main Results:

  • An accessible and versatile toolkit comprising hardware and software components.
  • The toolkit supports classroom activities, device interfacing, and rapid prototyping.
  • Facilitates both real-time data acquisition and postprocessing of biosignals.

Conclusions:

  • The developed toolkit effectively lowers barriers to entry for biosignal research and education.
  • It promotes interdisciplinary engagement with biosignals through practical, cost-effective means.
  • Encourages wider participation and innovation in the field of biosignals.