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We propose an online package based on artificial intelligence for brain stimulation protocols. Based on our last researches, directional connectivity played as an effective biomarker in order to classify Parkinson patients and healthy people. But the story does not end here. By recruiting this biomarker we are able to explore the effects of each medication and stimulation. So imagine if we have EEG recording of each neural disorders, by developing multi input and multi output neural networks we can predict the proper protocol for treatment based on artificial intelligence. The protocol covers frequency, signals’ shapes, and time duration of excitation. It also includes proper medication dose for the specific patient. Imagine an expert who deals with lots of papers proposed a unique protocol for treating special disorder. Therefore, no matters what is the sex, age, and disorder severity of each patient is the expert will stimulate based on best of her/his knowledge gained from papers. So, it is about the time. We have to make these procedures intelligent. By computing brain connectivity of their EEG recordings we will predict the outputs which are proper protocols for that patients which are stimulation frequency, medication, shape of signals. The upside of this idea is that all data are saved in our servers and by passing of time our network will enhance its accuracy, and reliability. Also, we are able to report each patients treatment quality based on feature extraction.

Built With

• keras
• matlab
• python