UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION
发明人:
Alampallam R. Ramachandran,Lawrence Sherman,Jason Coult,Peter Kudenchuk,Allison Chin,Christopher Neils
申请号：
US15026952
公开号：
US20160296762A1
申请日:
2014.10.03
申请国别(地区):
US
年份:
2016
代理人:
摘要：
Examples of systems, apparatuses, and methods for classification of electrocardiogram signals during cardiopulmonary resuscitation are described. An example system may include a defibrillator comprising an electrocardiogram analyzer. The electrocardiogram analyzer may be configured to apply a prediction modeling technique to an electrocardiogram signal to generate a predicted signal. The electrocardiogram signal may be captured from a patient undergoing cardiopulmonary resuscitation. The electrocardiogram analyzer may be further configured to subtract the predicted signal from the electrocardiogram signal to generate an error signal and to classify a rhythm of the electrocardiogram signal as one of a shockable rhythm or non-shockable based on the error signal. Decision parameters derived from the signals may be used in conjunction with a machine learning technique to classify the electrocardiogram signal.
