DEVICE AND METHOD FOR DETECTING MALFUNCTION IN MULTIMODAL SENSOR BY USING ARTIFICIAL NEURAL NETWORK

摘要

The present invention relates to a device for detecting a malfunction in a multimodal sensor by using an artificial neural network, the device comprising: a multimodal sensor unit comprising a plurality of sensors for measuring an analyte in a measurement area and generating an output signal; and an analysis unit for receiving the output signal through the multimodal sensor unit, extracting a characteristic (pattern) of the output signal according to at least one of a new (normal) state, an obsolescence state, and a fault state of the plurality of sensors, and analyzing a state of the plurality of sensors by using an artificial neural network that is trained by learning about the extracted characteristic (pattern) of the output signal.