Introduction or Tutorial on Continuous EEG Collection Procedures and Initial Processing? Are there any tutorials or introductions (specifically not slides from talks) on the very basic details of EEG data collection and processing? Things like:


Discussions of reference systems (montages)
The "usual" sequence of initial processing steps
Identification of artifacts by type and usual procedures for dealing with them
Precise methods of electrode placement (such as good ways to measure electrodes on the head, etc.)
Etc.


Basically I am looking for a sketch of standard or usual procedures used either widely in EEG or, failing that, commonly in EEG studies that make use of longer, continuous recordings (as opposed to ERPs). What is sometimes called "lab lore" or the common things you need to know that are often glossed over in journal articles. (Something akin to the very introductory textbooks available for fMRI.)

The usual response to this is Steven Luck's book: Introduction to the Event-Related Potential Technique -- but that book is so centered on ERP recordings, that it is very hard to follow for other types of EEG collection, such as long continuous recordings. On the other side, journal articles are generally too brief about their recording and initial data analysis procedures to replicate their work.

Additionally, open-access/open-source information is preferable; we don't have the money for the usually priced textbooks. (I'll accept those if there are no open answers, but open is better!)

Note that this other article "Getting Started with EEG" either recommends Luck's book (which is good, but too ERP focused) or begs the original question of learning how to collect and process EEG by basically saying "just collect it on yourself and do it." So this is strictly not a duplicate question.
There are plenty of books and courses about EEG. I personally can recommend the book from Mike Cohen "Analyzing Neural Time Series Data". It´s well written, simple and condense introduction into EEG, electrophysiology, experimental design, data acquisition and, mostly, basic-to-advance analytical techniques. Book comes with the demo data and code for the analysis in Matlab.

Alternatively, you can go directly to the website of any big EEG community that developing an analytical toolbox (like EEGLab, Fieldtrip, or Brainstorm). Each of them provides sufficient amount of the introductory materials and step-by-step tutorials, including video lectures.