Waveform-analyzing method, waveform-analyzing device, and analyzing system

A waveform-analyzing method for analyzing a signal waveform which is a chromatogram or a spectrum, the method comprising:

• a model creation step for creating a trained model for locating a peak portion in an input waveform, by machine learning using a plurality of sets of partial waveforms prepared by dividing each reference waveform in which a position of the peak portion is already known;
• a region estimation step which includes dividing an analysis-target waveform into a plurality of partial waveforms, determining whether or not a partial waveform is a peak portion for each of the plurality of partial waveforms by using the trained model, and estimating a plurality of different kinds of regions including a single-peak region, overlap-peak region and non-peak region in the analysis-target waveform based on a result of the determination;
• and
• a multimodality determination step which includes determining, for an overlap peak within a region estimated to be an overlap-peak region in the region estimation step, whether or not the overlap peak is a multimodal peak originating from a single component, using at least one of following pieces of information:
• a height of one or more peaks among a plurality of peaks in the overlap peak;
• a depth of a trough between two neighboring peaks among the plurality of peaks;
• and a width in a direction of a horizontal axis between a bottom portion of the trough and a top portion of one of the peaks between which the trough is sandwiched.