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

Optimal a posteriori time domain filter for average evoked potentials.

M Furst1, A Blau

  • 1Department of Electrical Engineering Systems, Faculty of Engineering, Tel Aviv University, Israel.

IEEE Transactions on Bio-Medical Engineering
|September 1, 1991
PubMed
Summary

This study introduces an algorithm to improve evoked potential signal detection by estimating signal autocorrelation. New filters enhance signal estimation, especially in nonstationary processes, offering significant improvements with more measurements.

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

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia diagnosed by transbronchial lung cryobiopsy: a case report.

Journal of medical case reports·2017
Same author

Evaluation of robotic assistance in neurosurgical applications.

Journal of robotic surgery·2016
Same author

[Diagnosis of sleep disordered breathing using portable methods].

Pneumologie (Stuttgart, Germany)·2012
Same author

[Portable sleep monitoring in patients with disorders in falling asleep or maintaining sleep].

Der Nervenarzt·2012
Same author

'Obstructive sleep apnea is associated with fatigue in multiple sclerosis' by Kaminska et al.

Multiple sclerosis (Houndmills, Basingstoke, England)·2012
Same author

[Gynecomastia in methotrexate treatment in Churg-Strauss syndrome].

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2011

Area of Science:

  • Neuroscience
  • Signal Processing

Background:

  • Evoked potentials (EPs) are often modeled as deterministic signals corrupted by noise.
  • Averaging repetitive measurements is the standard method for EP signal extraction.

Purpose of the Study:

  • To improve evoked potential signal detection by utilizing additional information from measurements.
  • To develop and evaluate novel filtering techniques for enhanced EP signal estimation.

Main Methods:

  • Proposed an algorithm to estimate signal autocorrelation from N measurements.
  • Introduced two filters based on signal and noise autocorrelation estimation.
  • Applied filters to average responses, considering both stationary and nonstationary processes.

Main Results:

Related Experiment Videos

  • The proposed autocorrelation estimator is consistent, unbiased, and has variance tending to o(N).
  • The stationary filter reduced mean squared error (MSE) by two to five times compared to simple averaging for small N.
  • The nonstationary optimal filter significantly improved signal estimation for large N due to decreased autocorrelation estimation error.

Conclusions:

  • The developed algorithm and filters enhance evoked potential signal estimation beyond traditional averaging.
  • The choice of filter (stationary vs. nonstationary) depends on the number of measurements and desired accuracy.
  • Significant improvements in signal-to-noise ratio are achievable, particularly with advanced filtering techniques for nonstationary processes.