发明名称 System and Method for Distinguishing a Cardiac Event From Noise in an Electrocardiogram (ECG) Signal
摘要 A cardiac monitoring device includes: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode; determine a transformed ECG signal based on the ECG signal; extract at least one value representing at least one feature of the transformed ECG signal; provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score; compare the ECG-derived score to a predetermined threshold score determined by machine learning; and provide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.
申请公布号 US2016000349(A1) 申请公布日期 2016.01.07
申请号 US201514791836 申请日期 2015.07.06
申请人 Zoll Medical Corporation 发明人 Sullivan Adam;Kaib Thomas E.;Nicolo Francesco;Szymkiewicz Steve
分类号 A61B5/04;A61N1/39;A61B5/00;A61N1/04;A61B5/0408;A61B5/0452 主分类号 A61B5/04
代理机构 代理人
主权项 1. A cardiac monitoring device comprising: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode;determine a transformed ECG signal based on the ECG signal;extract at least one value representing at least one feature of the transformed ECG signal;provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score;compare the ECG-derived score to a predetermined threshold score determined by machine learning; andprovide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.
地址 Chelmsford MA US