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

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...

You might also read

Related Articles

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

Sort by
Same author

Leveraging fragment-based drug discovery to advance 3D scaffolds into potent ligands: application to the histamine H<sub>1</sub> receptor.

RSC medicinal chemistry·2026
Same author

Anti-mitotic agent SB-216 overcomes taxane resistance in castration-resistant prostate cancer and exhibits anti-tumour efficacy in pancreatic cancer.

British journal of pharmacology·2025
Same author

Best Practices in the Development and Use of Experimental Models of Bacterial Pneumonia: An Official American Thoracic Society Workshop Report.

American journal of respiratory cell and molecular biology·2025
Same author

Evaluation of a Novel Battery-Operated Tumbler Device for Use in the Detection of Mouse Pathogens for Rodent Health Monitoring.

Journal of the American Association for Laboratory Animal Science : JAALAS·2024
Same author

Multiplexed experimental strategies for fragment library screening against challenging drug targets using SPR biosensors.

SLAS discovery : advancing life sciences R & D·2023
Same author

Escape from planarity in fragment-based drug discovery: A synthetic strategy analysis of synthetic 3D fragment libraries.

Drug discovery today·2022

Related Experiment Video

Updated: Jun 6, 2026

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

Pedagogical issues for effective teaching of biosignal processing and analysis.

William A Sandham1, David J Hamilton

  • 1Scotsig, 40 Westbourne Gardens, Glasgow G12 9PF, UK. w.sandham@scotsig.co.uk

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
PubMed
Summary

Biosignal processing and analysis is challenging due to its mathematical nature. MATLAB and Mathcad software effectively aid in teaching and researching these complex bioengineering topics.

More Related Videos

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Related Experiment Videos

Last Updated: Jun 6, 2026

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
08:22

BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

Published on: April 26, 2024

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Area of Science:

  • Biomedical Engineering
  • Signal Processing

Background:

  • Biosignal processing and analysis presents significant learning challenges for students.
  • High mathematical content and abstract concepts contribute to the difficulty.

Purpose of the Study:

  • To review traditional biosignal processing and analysis curricula.
  • To demonstrate the utility of MATLAB and Mathcad in biosignal education and research.

Main Methods:

  • Review of introductory and advanced biosignal processing and analysis syllabi.
  • Illustration of MATLAB and Mathcad applications in teaching and research.

Main Results:

  • MATLAB and Mathcad provide effective algorithm development environments.
  • These software packages can be utilized in both academic and research settings for biosignals.

Conclusions:

  • MATLAB and Mathcad are valuable tools for overcoming challenges in biosignal processing and analysis education.
  • The use of these software packages enhances both teaching and research in bioengineering.