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SYSTEM AND METHOD FOR ESTIMATING HIGH TIME-FREQUENCY RESOLUTION EEG SPECTROGRAMS TO MONITOR PATIENT STATE

机译:估计高频分辨脑电图以监测患者状态的系统和方法

摘要

A system and method for monitoring a patient includes a sensor configured to acquire physiological data from a patient and a processor configured to receive the physiological data from the at least one sensor. The processor is also configured to apply a spectral estimation framework that utilizes structured time-frequency representations defined by imposing, to the physiological data, a prior distributions on a time-frequency plane that enforces spectral estimates that are smooth in time and sparse in a frequency domain. The processor is further configured to perform an iteratively re-weighted least squares algorithm to perform yield a denoised time- varying spectral decomposition of the physiological data and generate a report indicating a physiological state of the patient.
机译:一种用于监视患者的系统和方法,包括配置为从患者获取生理数据的传感器和配置为从至少一个传感器接收生理数据的处理器。处理器还被配置为应用频谱估计框架,该频谱估计框架利用通过对生理数据强加时频平面上的先验分布而定义的结构化时频表示,该先验分布强制执行时间上平滑且频率稀疏的频谱估计。域。处理器还被配置为执行迭代重新加权的最小二乘算法,以对生理数据进行去噪的时变频谱分解,并生成指示患者的生理状态的报告。

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