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 |
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代理人 |
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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 |