Liang Tian,Xue Zhang,Yue Zhang,Zifang Zhao,Zhiqiang Su,Jun Cao
申请号：
US16615690
公开号：
US20200121255A1
申请日:
2018.01.12
申请国别(地区):
US
年份:
2020
代理人:
摘要：
An artificial intelligence-based interference recognition method for an electrocardiogram, comprising: cutting and sampling heart beat data of a first data amount, and inputting the heart beat data to be recognized that is obtained by cutting and sampling into an interference recognition binary classification model for interference recognition； in a sequence of the heart beat data, performing signal anomaly determination on a heart beat data segment where an inter-beat interval is greater than or equal to a preset interval determination threshold value, so as to determine whether the heart beat data segment is an abnormal signal； if the heart beat data segment is not an abnormal signal, determining a starting data point and an ending data point of sliding sampling in the heart beat data segment according to a set time with a preset time width, and performing sliding sampling on the data segment from the starting data point until the ending data point so as to obtain multiple sampling data segments； and using each sampling data segment as heart beat data to be recognized for interference recognition.
