使.

Maximilian Kapsecker1, Matthias C Möller2, Stephan M Jonas3

  • 1TUM School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, Garching bei München, 85748, Bavaria, Germany; Institute for Digital Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, North Rhine-Westphalia, Germany.

PubMed
概括

这项研究引入了一种新的可解释的AI方法,用于分析可穿戴设备的心电图 (ECG) 数据. 该方法使用分离的表示学习来准确,无监督的异常检测和个性化,改善医疗洞察力.