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English(EN) ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

新的ECGLight框架可数字化纸质心电图,用于远程心肌梗死筛查

研究人员开发了ECGLight,一个轻量级的、设备端的框架,旨在数字化纸质心电图(ECG)打印件并筛查心肌梗死(MI)。该系统可以将智能手机拍摄的纸质心电图转换为校准的12导联信号,并高精度地识别心肌梗死病理。ECGLight在仅CPU资源下运行,每份心电图耗时不到30秒,使其适用于连接性和计算能力有限的远程诊所。该框架还包含Shapley Additive Explanations(SHAP)以提高可解释性。 AI

影响 使远程诊所能够利用人工智能,通过传统的纸质记录对心血管疾病进行筛查。

排序理由 该条目描述了arXiv论文中提出的一种用于心电图数字化和筛查的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新的ECGLight框架可数字化纸质心电图,用于远程心肌梗死筛查

报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Shreyasvi Natraj, Cyrus Achtari, Felice Gragnano, Andrea Milzi, Marco Valgimigli, Diego Paez-Granados ·

    ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

    arXiv:2607.07683v1 Announce Type: new Abstract: Electrocardiography (ECG) is one of the most widely used tests for diagnosing cardiovascular disease. Yet several remote clinics still utilize paper ECG printouts for their analysis due to limited connectivity and computational capa…

  2. arXiv cs.LG TIER_1 English(EN) · Diego Paez-Granados ·

    ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

    Electrocardiography (ECG) is one of the most widely used tests for diagnosing cardiovascular disease. Yet several remote clinics still utilize paper ECG printouts for their analysis due to limited connectivity and computational capacity. As a result, vast numbers of physical ECGs…