I'll provide you below some common processing approach which shouldn't be taken as a standardized pipeline.
But needs to be adjusted based on the dataset to be analyzed.

Performing an auditory evoked potential analysis in Analyzer would involve the following steps:

1. Preprocessing: filtering, artifact rejection/correction.
Corresponding modules in Analyzer:
- IIR Filters,
- New Reference (offline re-referencing to minimize effects of reference-site activity and/or mitigate bias towards a particular hemisphere/location on the scalp),
- Edit Channels (if one or more "noisy" channels need to be excluded from further analysis),
- Topographic Interpolation (if one or more "noisy" channels need to be replaced based on other "clean" channels),
- Raw Data Inspection (applicable for continuous data to inspect artifacts either manually, semi-automatically or automatically),
- Ocular Correction (regression based), Ocular Correction ICA, ICA.
2. Trial extraction that are time-locked to an auditory stimulus.
Corresponding module in Analyzer:
- Segmentation

3. Removing offsets and residual artifacts.
Corresponding modules in Analyzer:
- Baseline Correction
- Artifact Rejection
4. Average across trials.
Corresponding module in Analyzer:
- Average
5. Generating a difference wave (for e.g., if analyzing an auditory mismatch negativity response is of desire).
Corresponding module in Analyzer:
- Data Comparison

6. Detecting and extracting the amplitude and latency
 of the desired evoked response (e.g., early/late response, or detecting the I,III,V waves from the auditory brainstem response).

Corresponding modules in Analyzer:
- Peak Detection
- Peak Information Export

The following educational materials might be of interest to delve into the depth of each topic:
Webinars: slides and video recordings available in Brain Products webinar channel.
- Intro to Analyzer and EEG analysis concepts
- EEG artifact types and handling strategies in Analyzer 2
- Independent Component Analysis – Theory and Application

Press-release articles, which can be downloaded from our Tutorials page.
- Choosing your reference – and why it matters
- Independent Component Analysis – demystified
- Ocular Correction ICA
- MATLAB transform fundamentals
- Exports for all occasions – A selective overview of Analyzer 2’s most useful export options

Area of interest

Who supports us

quem apoia
neurosciencegrrl brainsupport Brainsupport.co BrainLatam Neuroinsight logo iamChurch logo theneurosoft