在果手表和卡迪亚移动心电图中检测心房动的一个众包人工智能框架

Ali Bahrami Rad1, Miguel Kirsch2, Qiao Li1

  • 1Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括

使用多个来源的新投票算法显著改善了移动心电图设备上的心房动 (AFib) 检测. 这种众包方法提高了不同平台的准确性和稳定性,克服了当前人工智能心脏监测的关键局限性.

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