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Where Our Work Started
Below you will find a screenshot of human EEG data obtained from iEEG.org. Being able to pull actual human EEG data was a huge step for this project and a great success. Details on how to pull information from iEEG can be obtained in the bottom right box of this page labeled "Useful Documents for the Continuation of This Project."
Current Technologies in the Field of Automated Seizure Detection
What did Biology 373 Accomplish in Spring 2017?
Here is a PowerPoint presentation of the substance behind this entire project: the code for the algorithm. This presentation will describe what the algorithm created by Professor Bergstrom is, what it does, and how "the code" behind the program allows for the detection of spikes, seizures, and abnormal electrical activity in the EEGs of mice.
Documentation of and Resources for the Continuation of This Project
Automated Analysis of Human Intracranial EEGs for Seizure Detection in Epilepsy
This is a summary of the research done during summer 2019. The Matlab code that Dr. Bergstrom developed for mice EEG was applied to human intracranial EEGs. Data from IEEG.org was used, specifically Mayo Clinic patient 038. Four channels (AD1-4) from hour 17 to hour 23 were manually scored by three trained observers. These were compared to the algorithms output. The algorithm was not as successful on the human EEG compared to the mice EEGs. Future development is needed.
Process to Pull Information from iEEG
This file details the steps one must take in order to obtain raw data and documentation from the ieeg.org database.
MATLAB is the primary coding program used in this course. The algorithm from Professor Bergstrom's Ph.D research is easily accessible and readily edited in MATLAB. This link will take you to the MATLAB Academy, a website that allows you to take introductory course that explain the basics of MATLAB (and allow you to learn how to code!) for free.
Click on "Launch MATLAB Onramp" then create an account using your Beloit email. It is free, simple, fun, and will give you a basic understanding of how to manipulate the code of this research project.
Review Paper Bibliography
This Word document contains 23 references used from the review article started during the spring semester of 2017. The references in it mainly pertain to automated methods in seizure detection technology. The articles cited range from 2003 to 2017.
PowerPoints From Spring Semester 2017
Here are files containing the PowerPoint presentations given throughout the semester on various topics in Biology 373. Hopefully they can provide some background information on general topics that pertain to this class. The presentation already located on this page is a PowerPoint that was created in the spring of 2017 for one of these Thursday Topic Presenations.