文章摘要
郝烨,王浩,任海萍.心电图机电磁干扰噪声对人工智能心电软件性能的影响研究[J].中国药事,2019,33(9):1032-1037
心电图机电磁干扰噪声对人工智能心电软件性能的影响研究
On the Influence of Electromagnetic Interference Noise of ECG Device on the Performance of Artificial Intelligence ECG Software
投稿时间:2019-06-24  
DOI:10.16153/j.1002-7777.2019.09.012
中文关键词: 心电  人工智能  电磁干扰  数据集
英文关键词: ECG  artificial intelligence  electromagnetic interference  dataset
基金项目:中国食品药品检定研究院中青年发展研究基金课题“人工智能医疗器械软件性能评价方法研究”(编号2018C5)
作者单位E-mail
郝烨 中国食品药品检定研究院, 北京 100050  
王浩 中国食品药品检定研究院, 北京 100050  
任海萍 中国食品药品检定研究院, 北京 100050 renhaiping@nifdc.org.cn 
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中文摘要:
      目的:探索人工智能心电软件抵御心电图机电磁干扰噪声的能力,了解其准确性和鲁棒性。方法:本文选择个体心电图机为试验对象,在实验室内电磁兼容测试中采集心电导联上出现的电磁干扰波形。该波形与公开心电数据相叠加后由AI心电软件进行分析。比较AI心电软件分析原始数据和叠加噪声的数据结果,分析心电图机上的电磁干扰噪声对AI心电软件分析结果准确性及鲁棒性的影响。结果:在本次试验中,射频传导干扰噪声对AI心电软件鲁棒性影响较大,工频干扰信号对于AI心电软件的性能影响较小。结论:AI心电软件的质量评价有必要关注心电图机等硬件设备中电磁干扰噪声的影响。
英文摘要:
      Objective:To explore the capability of artificial intelligence (AI) ECG software in tolerating electromagnetic interference noise of ECG device and understand its accuracy and robustness. Methods:Individual ECG device was used as an object to collect electromagnetic noise during a lab-based EMC test. The noise pattern after being added to public ECG data was processed by an AI ECG software. The results before and after noise addition were compared. The influence of electromagnetic interference noise on the accuracy and robustness of AI ECG software analysis results was analyzed. Results:In this experiment, the RF conducted interference noise had greater influence on the robustness of AI ECG software, while the power frequency interference signal had less influence on the performance of AI ECG software. Conclusion:The impact of electromagnetic interference noise of hardware equipment such as ECG device should be taken into consideration during the quality evaluation of AI ECG software.
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