Student Work

Brain Wave Analysis

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NIRS Automated Machine Learning (NAML), is a system that automates the running of time series machine learning algorithms on neural data [1]. This project expanded NAML by adding seven new algorithms, implementing manifold validation, and giving the user the ability to balance their datasets. NAML 2.0 gives more precise results than its predecessor and can still be utilized without expertise in machine learning. NAML 2.0 will allow researchers to classify brain states quickly, easily, and consistently. NAML 2.0 has been benchmarked on neural data for both accuracy and speed.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Subject
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Identifier
  • E-project-121120-141220
  • 5016
Stichwort
Advisor
Year
  • 2020
Date created
  • 2020-12-11
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