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

Single unit retrieval in microneurography: a microprocessor-based device controlled by an operator.

B B Edin1, P A Bäckström, L O Bäckström

  • 1Department of Physiology, University of Umeå, Sweden.

Journal of Neuroscience Methods
|June 1, 1988
PubMed
Summary

This study presents a novel microprocessor-based device for accurately isolating single nerve fiber activity from noisy microneurographic recordings. The system effectively filters electromyographic (EMG) artifacts, improving signal discrimination for neurophysiological 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

Bio-inspired sensorization of a biomechatronic robot hand for the grasp-and-lift task.

Brain research bulletin·2008
Same author

Design of a cybernetic hand for perception and action.

Biological cybernetics·2006
Same author

Mechanisms for force adjustments to unpredictable frictional changes at individual digits during two-fingered manipulation.

Journal of neurophysiology·1998
Same author

Coordination of fingertip forces during human manipulation can emerge from independent neural networks controlling each engaged digit.

Experimental brain research·1998
Same author

Control of forces applied by individual fingers engaged in restraint of an active object.

Journal of neurophysiology·1997
Same author

Skin strain patterns provide kinaesthetic information to the human central nervous system.

The Journal of physiology·1995

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Microneurography is crucial for studying nerve function.
  • Nerve recordings are often contaminated by electrical muscle activity (EMG) and signals from other nerve fibers.
  • Accurate isolation of single-unit activity is essential for detailed neurophysiological analysis.

Purpose of the Study:

  • To develop and validate a microprocessor-based device for precise isolation of single-unit activity from contaminated microneurographic signals.
  • To enhance the discriminative power of nerve recordings in the presence of electromyographic artifacts.

Main Methods:

  • A microprocessor-based device was engineered to sample microneurographic signals at 10 kHz.
  • Algorithms were developed for real-time identification and provisional selection of single nerve impulse events.

Related Experiment Videos

  • Waveform and timing data were stored, with on-line display of selected events and criteria.
  • Off-line analysis combined a waveform comparator algorithm with manual review for final event selection.
  • The device offered both hardware and software control options, facilitating data export for integrated analysis.

    • Main Results:

    • The developed device successfully isolated single-unit activity from nerve recordings containing EMG contamination.
    • The system demonstrated superior discriminative power compared to existing techniques when dealing with electromyographic artifacts.
    • Stored event data (waveform and clock time) allowed for detailed off-line analysis and synchronization with other experimental signals.

    Conclusions:

    • The microprocessor-based device provides a robust solution for accurate single-unit isolation in microneurography.
    • This technology significantly improves the quality of neurophysiological data by mitigating EMG interference.
    • The device facilitates advanced data analysis and integration with other physiological recordings.