We use our proprietary neural network-based algorithm to support professionals accelerating the screening phase, just through a machine learning analysis of the EEG.

How the system works

Brainbow is based on machine learning approach.

It takes an EEG as input and applies a series of mathematical transformation to the data in order to identify and extract the features of interest for Autism.

These features are then processed by our neural network, which has been trained through thousands of EEG spectra of already diagnosed children and adults.

In this way it is possible to obtain a classification and a percentage of the patient’s risk of being subject to the disease.

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