4 Best EEG Online Courses - [APR 2024]
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What is EEG?
EEG stands for Electroencephalography. It is a non-invasive neuroimaging technique that records brain electrical activity using electrodes placed on the scalp. It is widely used in clinical and research settings to study brain function and diagnose neurological disorders.
Why should you learn EEG?
There are several reasons why learning EEG is important. Firstly, EEG is one of the most versatile and widely used neuroimaging techniques in neuroscience research. This technique helps researchers gain valuable insight into brain electrical activity and how the brain functions, both in healthy individuals and those suffering from neurological disorders.
Secondly, EEG is a non-invasive and relatively inexpensive technique that measures brain activity in real time. Consequently, it is an ideal tool for studying brain processes during various cognitive tasks and behaviors.
Finally, EEG is also used in clinical settings to diagnose and monitor neurological disorders such as epilepsy, sleep disorders, and brain injuries. Consequently, healthcare professionals who work with patients with neurological disorders may benefit from learning EEG.
Overall, Learning EEG enhances our understanding of brain function and neurological disorders. Researchers and healthcare professionals alike can benefit from this skill.
Top EEG Courses List
- Learn Essentials of Adult Electroencephalography (EEG)
- Neuroscience and Psychology: Electroencephalography (EEG)
- Complete Neural Signal Processing and Analysis: Zero to Hero
- Build Complete VR App in Unity with Eye Tracking & EEG
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1. Learn Essentials of Adult Electroencephalography (EEG)
This online EEG course will provide comprehensive knowledge and skills in adult EEG or Electroencephalography. It covers both normal and abnormal EEG patterns, focusing on interpretation and clinical application. Students will learn about electrode placement and montages, EEG waveforms, frequency analysis, artifact recognition and elimination, and the interpretation of normal and abnormal EEG patterns.
In this EEG course, you will learn the following:
- EEG electrodes, EEG machines, Derivations & Montages, Spatial analysis of EEG.
- Awake EEG rhythms, Activation Procedures, Artefacts & Sleep EEG.
- Normal EEG variants, Abnormal EEG patterns.
- Epileptiform activity, abnormalities of amplitudes and frequencies.
- Role of EEG in clinical practice.
Furthermore, the course provides practical training on preparing patients, placing electrodes, and troubleshooting EEG recordings. The course also covers various clinical applications of EEG, such as seizure detection, sleep studies, and brain function monitoring during surgery.
- Course rating: 4.4 out of 5.0 (46 Rating total)
- Duration: 2.5 Hours
- Certificate: Certificate on completion
2. Neuroscience and Psychology: Electroencephalography (EEG)
This online EEG course provides a comprehensive introduction to using electroencephalography (EEG) in cognitive neuroscience and clinical settings. Through engaging and informative videos, students will learn about the science behind EEG and how it helps to study the brain.
In this EEG course, you will learn the following:
- A Brief Introduction to Neuroanatomy and Neurophysiology.
- How to record the brain's electrical activity.
- What is EEG and what it is used for?
- How we collect EEG data.
- How we analyze EEG data.
- Frequency-based analysis.
- Event-related potentials.
In the course, students learn about basic EEG recording and electrode placement, signal processing and analysis, and common experimental paradigms in EEG research. In addition, the course teaches students how to diagnose and treat neurological disorders with EEG.
Upon completing this course, students will have gained a comprehensive knowledge of electroencephalography (EEG) and its clinical applications. Specifically, students will gain a solid understanding of EEG recording and electrode placement principles.
- Course rating: 4.1 out of 5.0 (377 Rating total)
- Duration: 1.5 Hours
- Certificate: Certificate on completion
3. Complete Neural Signal Processing and Analysis: Zero to Hero
This online course will cover signal processing and statistical analysis of brain electrical data in MATLAB. This course will focus on EEG signal processing and analysis with practical applications in neuroscience.
In this EEG course, you will learn the following:
- Signal processing
- Time series data analysis
- Statistics (non-parametric)
- Neuroscience (brain science)
- Spectral analysis application
- Applied math
The course topics include signal filtering and noise reduction, feature extraction and selection, time-frequency analysis, and statistical analysis of EEG data. Additionally, the course covers advanced topics such as data analysis using machine learning and connectivity analysis.
Throughout the course, students will complete coding challenges in MATLAB. In addition to improving their understanding of the material, this will also improve their programming skills. Additionally, the course includes real-world examples of analyzing EEG data, allowing students to apply their knowledge.
Overall, this course is suitable for students and researchers in neuroscience, psychology, and related fields who want to gain expertise in EEG signal processing and statistical analysis using MATLAB.
- Course rating: 4.7 out of 5.0 (1,263 Rating total)
- Duration: 47 Hours
- Certificate: Certificate on completion
4. Build Complete VR App in Unity with Eye Tracking & EEG
The course teaches students how to design and build a VR app based on research using Unity and eye tracking. Students will learn to collect data from eye trackers and EEG devices and save the data into an online database using PHP programming language. Additionally, students will learn how to use Python to convert eye tracker timestamps into Unix timestamps.
In this EEG course, you will learn the following:
- Build VR App in Unity from scratch for research using C# programming language.
- Integrate Eye Tracking, calibration processes, and EEG Neurofeedback.
- Save data in csv files from Unity for research purposes including user demographics, questionnaires, Eye tracking, and EEG.
- Learn how to clean eye-tracking data using Python.
- Learn how to convert eye tracker timestamps in unix timestamps for research using Python.
- Learn how to save data into an online database with PHP programming language.
- Learn Unity scene transitions in different ways, how to arrange and create more advanced codes, and how to backup projects using Github and Github desktop.
The course will teach students how to create Unity scene transitions using various techniques and arrange and create more advanced code. Additionally, they will learn how to back up their projects using GitHub and GitHub Desktop.
If you are interested in building VR applications with eye tracking and EEG neurofeedback for research, this course will be suitable for you!
- Course rating: 4.6 out of 5.0 (25 Rating total)
- Duration: 15 Hours
- Certificate: Certificate on completion
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