Waveform generation identification method and computer readable medium

Abstract

A waveform generation identification method comprises the following steps: comparing single waveform data obtained by a plurality of sensors with at least one piece of characteristic waveform information; determining the occurrence probability of the characteristic waveform information in at least one part of the waveform data based on the relevancy between the peak part of the waveform data and the characteristic waveform information; and based on the occurrence probability, identifying the occurrence time of a part matched with the characteristic waveform information and a related sensor.

Description

technical field [0001] The invention relates to a waveform generation identification method and a computer-readable medium. Background technique [0002] Traditionally, in MEG or when analyzing MEG, analyzing its characteristic waveform is an extremely important factor. However, as technology advances, both the sampling frequency and the number of sensors used for measurement are increasing, leading to a tendency for the time required to visually search for waveforms to increase. [0003] For example, in the bedside diagnosis of epilepsy using magnetoencephalography, a method called the equivalent current dipole method is used to assess localization of epileptic foci. In the equivalent current dipole method, a current source (dipole) that produces a magnetic field measured on the scalp is estimated. For dipole estimation, from the time series of multiple sensors, it is necessary to narrow down the range to determine the time (start point) at which characteristic waveform i...

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