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 Experiment Videos

A slope-based approach to spike discrimination in digitized data.

J H Cocatre-Zilgien1, F Delcomyn

  • 1Department of Entomology, University of Illinois, Urbana 61801.

Journal of Neuroscience Methods
|August 1, 1990
PubMed
Summary

A novel spike discrimination algorithm analyzes electrical signal slopes, offering a more effective method than amplitude-based techniques for analyzing nerve and muscle activity. This advancement improves the precision of electromyogram analysis in biological research.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

An approach to validation of a leg simulation by the comparison of two dynamic models.

Computers in biology and medicine·1995
Same author

Identification of bursts in spike trains.

Journal of neuroscience methods·1992
Same author

Perturbation of the motor system in freely walking cockroaches. I. Rear leg amputation and the timing of motor activity in leg muscles.

The Journal of experimental biology·1991
Same author

Perturbation of the motor system in freely walking cockroaches. II. The timing of motor activity in leg muscles after amputation of a middle leg.

The Journal of experimental biology·1991
Same author

Activity and directional sensitivity of leg campaniform sensilla in a stick insect.

Journal of comparative physiology. A, Sensory, neural, and behavioral physiology·1991
Same author

Walking in the American cockroach: the timing of motor activity in the legs during straight walking.

Biological cybernetics·1989

Area of Science:

  • Neuroscience
  • Biophysics
  • Computational Biology

Background:

  • Amplitude-based algorithms are commonly used for spike discrimination in electrophysiological recordings.
  • These methods can be limited in accurately distinguishing different types of neural and muscular signals.
  • A need exists for more robust and versatile spike sorting techniques.

Purpose of the Study:

  • To develop and evaluate a novel spike discrimination algorithm utilizing spike up- and down-slope analysis.
  • To compare the performance of the slope-based algorithm against traditional amplitude-based methods.
  • To demonstrate the algorithm's applicability in distinguishing muscle spikes from nerve spikes in insect electromyograms and in determining spike propagation direction in mixed nerve recordings.

Main Methods:

Related Experiment Videos

  • Development of a new algorithm that quantifies the rate of change (slope) of electrical signal deflections.
  • Implementation of the algorithm for analyzing electromyograms (EMGs) from insect preparations.
  • Testing the algorithm's capability to differentiate between muscle fiber activity and nerve action potentials.
  • Application of the algorithm to bipolar recordings from mixed nerves to assess directional information.

    • Main Results:

    • The slope-based spike discrimination algorithm effectively distinguishes muscle depolarizations from nerve spikes in insect EMGs.
    • The algorithm provides a minimal increase in programming complexity and processing time compared to amplitude-based methods.
    • The method demonstrates potential for sorting spikes based on their direction of travel in bipolar recordings.

    Conclusions:

    • Spike slope analysis offers a powerful and efficient alternative to amplitude-based methods for spike discrimination.
    • This algorithm enhances the accuracy and versatility of electrophysiological signal analysis.
    • The developed algorithm has broad applications in neuroscience and electrophysiology research, including insect EMG analysis and directional spike sorting.