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 correction method for DC drift artifacts

E Hennighausen1, M Heil, F Rösler

  • 1Philipps University, Marburg, Germany.

Electroencephalography and Clinical Neurophysiology
|March 1, 1993
PubMed
Summary
This summary is machine-generated.

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

Microbial volatile compounds enhance drought resilience and productivity in CAM and C3 crops.

Plant biology (Stuttgart, Germany)·2026
Same author

Author Correction: An asymmetric fission island driven by shell effects in light fragments.

Nature·2025
Same author

An asymmetric fission island driven by shell effects in light fragments.

Nature·2025
Same author

First Proton-Induced Cross Sections on a Stored Rare Ion Beam: Measurement of ^{118}Te(p,γ) for Explosive Nucleosynthesis.

Physical review letters·2025
Same author

Nuclear Astrophysics in the Storage Ring: Background Suppressed Simultaneous Measurement of (p,γ) and (p,n) Reactions.

Physical review letters·2025
Same author

Perioperative anxiety and length of hospital stay after caesarean section - A cohort study.

European journal of obstetrics, gynecology, and reproductive biology·2020
Same journal

Coming to terms with brain waves.

Electroencephalography and clinical neurophysiology·2014
Same journal

Habituation of lower leg stretch responses in Parkinson's disease.

Electroencephalography and clinical neurophysiology·2000
Same journal

Asymmetry of cortical excitability revealed by transcranial stimulation in a patient with focal motor epilepsy and cortical myoclonus.

Electroencephalography and clinical neurophysiology·2000
Same journal

Evoked isometric muscle contractions in myopathies: analysis of pathophysiological properties by different stimulus patterns.

Electroencephalography and clinical neurophysiology·2000
Same journal

Task-related coherence and task-related spectral power changes during sequential finger movements.

Electroencephalography and clinical neurophysiology·2000
Same journal

Electrophysiological studies in mild idiopathic carpal tunnel syndrome.

Electroencephalography and clinical neurophysiology·2000
See all related articles

A new method corrects drift artifacts in event-related potential (ERP) research by estimating and removing DC drift. This improves signal-to-noise ratio and clarifies amplitude differences in slow potentials.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Drift artifacts pose a significant challenge in electroencephalography (EEG) research, particularly in event-related potential (ERP) studies.
  • These artifacts can obscure genuine neural signals, leading to inaccurate interpretations of brain activity.
  • Existing methods may not fully address the complex nature of DC drift in electrophysiological data.

Purpose of the Study:

  • To introduce and validate a novel off-line correction method for estimating and removing DC drift artifacts in ERP data.
  • To enhance the signal-to-noise ratio (SNR) in experimental designs utilizing ANOVA.
  • To accurately analyze amplitude differences in event-related slow potentials over time.

Main Methods:

  • The method estimates DC drift by analyzing prestimulus baselines across trials.

Related Experiment Videos

  • An amplifier reset procedure is implemented at regular intervals, storing the preceding DC offset.
  • A regression analysis (linear or non-linear) models the amplitude trend over time, and this trend is subtracted from the data.

    • Main Results:

    • Detrending the data significantly increased the signal-to-noise ratio in ANOVA-based analyses.
    • The method successfully identified and corrected non-linear drift components.
    • Amplitude differences observed in event-related slow potentials between the first and second halves of an experiment were attributable to this non-linear drift.

    Conclusions:

    • The described off-line correction method provides an effective solution for mitigating drift artifacts in ERP research.
    • This technique enhances data quality, leading to more reliable findings in electrophysiological studies.
    • Accurate correction of drift artifacts is crucial for precise analysis of event-related potentials and slow cortical potentials.