Pages tagged with "preprocessing"
- Automatic artifact rejection
- Cleaning artifacts using ICA
- Combine MEG with Eyelink eyetracker data
- Dealing with artifacts
- Dealing with TMS-EEG datasets
- Detect the muscle activity in an EMG channel and use that as trial definition
- Determine the filter characteristics
- Do I need to resample my data, and if so, how is this to be done?
- Event-related averaging and MEG planar gradient
- Fixing a missing channel
- From raw data to ERP
- Getting started with reading raw EEG or MEG data
- How can I append the files of two separate recordings?
- How can I check or decipher the sequence of triggers in my data?
- How can I consistently represent artifacts in my data?
- How can I convert one dataformat into an other?
- How can I deal with a discontinuous Neuralynx LFP recording?
- How can I extend the reading functions with a new dataformat?
- How can I find out what eventvalues and eventtypes there are in my data?
- How can I import my own data format?
- How can I interpret the different types of padding in FieldTrip?
- How can I merge two datasets that were acquired simultaneously with different amplifiers?
- How can I preprocess a dataset that is too large to fit into memory?
- How can I process continuous data without triggers?
- How can I read all channels from an EDF file that contains multiple sampling rates?
- How can I read corrupted (unsaved) CTF data?
- How can I rename channels in my data structure?
- How does the filter padding in preprocessing work?
- I have problems reading in neuroscan .cnt files. How can I fix this?
- Independent component analysis (ICA) to remove ECG artifacts
- Independent component analysis (ICA) to remove EOG artifacts
- Introduction on dealing with artifacts
- Making your own trialfun for conditional trial definition
- Preprocessing - Reading continuous EEG and MEG data
- Preprocessing - Segmenting and reading trial-based EEG and MEG data
- Preprocessing and averaging of multi-channel NIRS data
- Preprocessing and averaging of single-channel NIRS data
- Preprocessing and event-related activity in combined MEG/EEG data
- Preprocessing and event-related potentials in EEG data
- Preprocessing of EEG data and computing ERPs
- Preprocessing raw data and computing ERPs/ERFs
- Re-reference EEG and iEEG data
- Reading in data and performing sensor-level ERF and TFR analyses
- Reading is slow, can I write my raw data to a more efficient file format?
- Sensor-level ERF, TFR and connectivity analyses
- Use denoising source separation (DSS) to remove ECG artifacts
- Visual or manual artifact rejection
- What dataformats are supported?
- What is the relation between "events" (such as triggers) and "trials"?
- What kind of filters can I apply to my data?
- Why am I not getting integer frequencies?
- Why does my TFR look strange (part I, demeaning)?
- Why does my TFR look strange (part II, detrending)?
- Why is there a residual 50Hz line-noise component after applying a DFT filter?
- Why should I set continuous to yes for CTF data?
- Why should I start with rereferencing for Biosemi EEG data?