Automatic noise signal interval detection method and device

An automatic noise signal interval detection method performed in an automatic signal interval detection device including a data converter, a data processor, a data analyzer, a baseline generator, and a noise signal detector, the automatic noise signal interval detection method comprising:

• receiving input electroencephalogram (EEG) data and generating initial data in a time-frequency domain through the data converter;
• calculating power for each epoch for each channel of the initial data through the data processor;
• generating a power graph for a specific frequency region of each channel over time using the power for each epoch through the data analyzer, wherein the generating of the power graph comprises (i) determining a delta or theta region with respect to brainwave signals as the specific frequency region and (ii) generating a graph of a frequency power over time as the power graph;
• generating a baseline by calculating an average of each channel value on the power graph through the baseline generator;
• determining, as a noise signal interval, an interval exceeding a predetermined threshold based on the baseline on the power graph through the noise signal detector, wherein the determining as the noise signal interval comprises:
• individually setting at least one threshold for each noise signal if there is at least one noise signal, wherein individually setting the at least one threshold for each noise signal if there is at least one noise signal comprises setting at least a first threshold for a drowsiness interval noise and a second threshold for a specific motion interval noise, and
• determining the noise signal interval based on the number of channels exceeding the at least one threshold according to the noise signal;
• and
• generating a post-processed signal, wherein generating the post-processed signal comprises rejecting the at least one noise signal within the determined noise signal interval.