首页>
外国专利>
SYSTEM AND METHODS FOR ELECTROCARDIOGAM BEAT SIMILARITY ANALYSIS USING DEEP NEURAL NETWORKS
SYSTEM AND METHODS FOR ELECTROCARDIOGAM BEAT SIMILARITY ANALYSIS USING DEEP NEURAL NETWORKS
展开▼
机译:使用深神经网络进行电气电池击败相似性分析的系统和方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Methods and systems are provided for automatically determining a phase shift and noise insensitive similarity metric for electrocardiogram (ECG) beats in a Holter monitor recording. In one embodiment, a deep neural network may be trained to map an ECG beat to a phase shift insensitive and noise insensitive feature space embedding using a training data triad, wherein the training data triad may be produced by a method comprising: selecting a first beat and a second beat recorded via one or more Holter monitors, determining a dynamic time warping (DTW) distance between the first beat and the second beat, setting a similarity label for the first beat and the second beat based on the DTW distance, and storing the first beat, the second beat, and the similarity label, in a location of non-transitory memory as an ECG training data triad.
展开▼