摘要
机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者在中国人民共和国北京的新闻报道，研究表明：“本研究旨在根据致痫区(EZ)内外的高频振荡(HFOs)，识别各种可区分的特征，用于立体脑电图(SEEG)通道的准确分类。在接受SEEG的局灶性癫痫患者中检测到HFO。”本研究的资助单位包括国家自然科学基金、国家重点研究开发项目。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “The present study aimed to identify various distinguishing features for use in the accurate classification of stereoelectroencephalography (SEEG) channels based on high-frequency oscilla tions (HFOs) inside and outside the epileptogenic zone (EZ). HFOs were detected in patients with focal epilepsy who underwent SEEG.” Funders for this research include National Natural Science Foundation of China, National Key Research and Development Program of China.
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