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Similarity to Normals

Cosine Similarity

We have developed a metric to measure how similar an individual’s brainwaves are to those of healthy individuals. This metric plays a significant role in Machine Learning and Artificial Intelligence by evaluating the similarity of two vector values in hyperspace. According to this measure, the EEG data of individuals using Auto Train Brain for 3, 6, or 9 months increasingly resemble those of normal individuals over time.

Gender	Age	Number of Sessions	Initial Similarity	Final Similarity	Difference
K	11	633	0.40	0.97	0.57
E	8	480	0.47	0.94	0.47
E	14	272	0.61	0.97	0.36
K	10	220	0.61	0.94	0.33
K	10	229	0.67	0.95	0.28
K	12	501	0.72	0.95	0.23
E	9	500	0.73	0.95	0.22
K	11	289	0.70	0.92	0.22
E	11	364	0.70	0.90	0.20
K	6	706	0.75	0.90	0.15
K	13	320	0.77	0.92	0.15
E	7	500	0.82	0.95	0.13
E	5	750	0.86	0.95	0.09
K	8	750	0.86	0.95	0.09
E	14	533	0.87	0.95	0.08
K	13	533	0.87	0.95	0.08
K	12	500	0.88	0.96	0.08
K	8	995	0.90	0.95	0.05
K	10	360	0.86	0.91	0.05
E	8	500	0.91	0.95	0.04
K	6	254	0.91	0.96	0.04
E	15	500	0.93	0.93	0.00

Similarity to Normals

Cosine Similarity

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