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Artificial intelligence (AI) electrocardiogram (ECG)

机译:人工智能(AI)心电图(ECG)

摘要

Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. An ST-T interval is identified from the plurality of subwaveforms and discontinuity points based on the comparison, the ST-T interval is divided into N number of equally spaced sections, and an average data value of detection is calculated for each section. A table is displayed that includes an average data value of detection for each section of the ST-T interval.
机译:从跳动的心脏接收电脉冲。电脉冲被转换为ECG波形。 ECG波形被转换成频域波形,该波形又被分离成两个或多个不同的频域波形,这些波形又被转换成多个时域心脏电生理子波形以及这些子波形之间的不连续点。将多个子波形和不连续点与正常和异常患者的子波形和不连续点的数据库进行比较。基于该比较,从多个子波形和不连续点中识别出ST-T间隔,将该ST-T间隔划分为N个等间隔的区间,针对每个区间计算检测的平均数据值。将显示一个表,其中包含ST-T间隔每个部分的平均检测数据值。

著录项

  • 公开/公告号US10729351B1

    专利类型

  • 公开/公告日2020-08-04

    原文格式PDF

  • 申请/专利权人 GUANGREN CHEN;ZHONGNONG JIANG;

    申请/专利号US201816157178

  • 发明设计人 GUANGREN CHEN;ZHONGNONG JIANG;

    申请日2018-10-11

  • 分类号A61B5/04;A61B5/0468;A61B5/0408;A61B5/044;G06N20;

  • 国家 US

  • 入库时间 2022-08-21 11:27:53

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