Embedded Software and Machine Learning for Wearable EEG Anxiety Detection: A 1-Hour Crash Course

A rapid introduction to developing embedded software and machine learning algorithms for wearable EEG-based anxiety detection systems.
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Embedded Software for EEG Data Acquisition and Feature Extraction

Unit 1: Introduction to EEG Data Acquisition

Unit 2: Real-Time Data Processing and Filtering

Unit 3: Feature Extraction Techniques

Machine Learning for Anxiety Detection on Embedded Systems

Unit 1: Introduction to ML on Embedded Systems

Unit 2: Implementing Anxiety Detection Models

Unit 3: Optimizing for Embedded Systems

Unit 4: Testing and Validation