The preprocessing pipeline of EEG data from EEG-fMRI paradigm differs from that of regular EEG data, because they are mainly influenced by MRI artefacts. However, after removing the MRI artefacts at the first step, following ones would be the same as…

EEGLab maillist My ICs don't have high power in low frequency is b/c I do a small trick here. before running ICA, it is recommended that you filter your data with 1Hz, then copy IC results back to your unfiltered dataset. More detail discussion is he…

Source: https://blricrex.hypotheses.org/ressources/eeg/pre-processing-for-erps/re-referencing-eeg-data Re-referencing only applies to EEG data, MEG is reference-free. In EEG, voltages recorded at each electrode are relative to voltages recorded at ot…

The Dataset was acquired from https://www.kaggle.com/c/titanic For data preprocessing, I firstly defined three transformers: DataFrameSelector: Select features to handle. CombinedAttributesAdder: Add a categorical feature Age_cat which divided all pa…

Source: MedScape Overview NREM and REM occur in alternating cycles, each lasting approximately 90-100 minutes, with a total of 4-6 cycles. In general, in the healthy young adult NREM sleep accounts for 75-90% of sleep time (3-5% stage I, 50-60% stage…

Source: WikiPedia - Electroencephalography Since an EEG voltage signal represents a difference between the voltages at two electrodes, the display of the EEG for the reading encephalographer may be set up in one of several ways. The representation of…

https://jmetzen.github.io/2015-01-29/ml_advice.html Advice for applying Machine Learning This post is based on a tutorial given in a machine learning course at University of Bremen. It summarizes some recommendations on how to get started with machin…

The data of scanning reference electrode will not show initially. Here is a summary of recovering its data using EEGLab. Firstly, official website of EEGLab has given a detailed method: Chapter_04:_Preprocessing_Tools. Below is some discussions on th…

来源:http://blog.sina.com.cn/s/blog_13171a73d0102v4zx.html 数据预处理主要包括数据导入.电极定位.电极返回.滤波.去除伪迹.重建参考.分段.叠加平均等步骤.只有经过预处理的数据,才能进行特征值提取以进一步进行方差分析等操作.EEGLAB对数据处理的优点无需赘述.很多情况下,后续被试的预处理与第一个被试的处理过程是一样的.在这种情况下就可以采用批处理的方式进行,以便减少处理数据的时间并保持数据间参数的一致性,有利于后续数据的统计分析.在此主要有…

Introduction A lot of Machine Learning (ML) projects, amateur and professional, start with an aplomb. The early excitement with working on the dataset, answering the obvious & not so obvious questions & presenting the results are what everyone of…