Machine learning predicts seizure activity from high-frequency oscillation rates
The analysis of Patient-3 (good result—TN). (A) Preoperative T1 MRI (left) and postoperative T1 MRI (right). (B) An example of HFO, defined as the co-occurrence of ripple and FR, highlighted in red in their respective filtered range. (C) The distribution of HFO tariffs on the channels (events/minute). Channels whose HFO level exceeds the 95% threshold …
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