Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jul 5, 2026

Infant Auditory Processing and Event-related Brain Oscillations

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Sorted averaging--application to auditory event-related responses.

Torsten Rahne¹, Hellmut von Specht, Roland Mühler

¹Department of Otolaryngology, Martin-Luther-University, Halle-Wittenberg, Germany. torsten.rahne@med.ovgu.de

Journal of Neuroscience Methods

|May 24, 2008

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

Psychoacoustical and electrophysiological investigation of the relative masking levels for narrowband chirps.

The Journal of the Acoustical Society of America·2026

Same author

Ocular VEMP Using Bone Conduction Stimuli at the Forehead - A Pilot Study Comparing B250, Minishaker and Tendon Hammer with Vibrometry Validation.

Medical devices (Auckland, N.Z.)·2026

Same author

Influence of Reference Electrode Position on the Recording of Ocular Vestibular Evoked Myogenic Potentials.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology·2026

Same author

The Bonebridge BCI 602 Safety and Performance 1 Year Post-Implantation in Adults and Children: A Multicentric Post-Market Study.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology·2025

Same author

Acoustic simulation of cochlear implant sound to approximate the perceptual experience of electric hearing.

Scientific reports·2025

Same author

[Bone conduction and active middle ear implants: systematics and audiological indication criteria].

HNO·2025

A new sorted averaging algorithm improves signal-to-noise ratio (SNR) for event-related potentials (ERPs) in noisy electroencephalogram (EEG) recordings. This method enhances artifact rejection, crucial for conditions like mismatch negativity (MMN) and cochlear implant users.

Area of Science:

Neuroscience
Biomedical Engineering
Signal Processing

Background:

Isolating event-related potentials (ERPs) from biological background noise requires averaging stimulus-locked electroencephalogram (EEG) epochs.
Patient recordings often exhibit high amplitude, multiple artifacts, and limited available epochs, necessitating efficient artifact rejection algorithms.
Established averaging methods may struggle with poor signal-to-noise ratios (SNR) common in specific paradigms or patient populations.

Purpose of the Study:

To evaluate the applicability of the sorted averaging algorithm for event-related potentials (ERPs).
To compare the performance of sorted averaging against established algorithms for ERP analysis.
To assess the impact of sorted averaging on signal-to-noise ratio (SNR) in challenging EEG recordings.

More Related Videos

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Published on: February 10, 2017

Related Experiment Videos

Last Updated: Jul 5, 2026

Infant Auditory Processing and Event-related Brain Oscillations

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Published on: February 10, 2017

Main Methods:

The study focused on the sorted averaging algorithm, initially developed for auditory brainstem responses.
Three different averaging algorithms, including sorted averaging, were compared using a mismatch negativity (MMN) paradigm.
Data were collected from 10 normal-hearing volunteers, and signal-to-noise ratio (SNR) was estimated for the resulting ERP waveforms.

Main Results:

The sorted averaging algorithm demonstrated significantly increased estimated signal-to-noise ratio (SNR) of ERP waveforms.
Performance was superior when compared to established averaging algorithms in the context of the MMN paradigm.
The algorithm proved effective in improving SNR for ERPs in recordings with inherently poor SNR or noisy background EEG.

Conclusions:

The sorted averaging algorithm offers a significant improvement in SNR for event-related potentials (ERPs).
This method is particularly beneficial for analyzing ERPs in situations with noisy background EEG, such as in cochlear implant users.
Sorted averaging provides a valuable tool for enhancing the quality of ERP data, especially in challenging research and clinical settings.