APPARATUS, METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR CLASSIFYING MENTAL STRESS USING CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT TERM MEMORY NETWORK

An apparatus for classifying mental stress includes a sequence folding layer configured to convert a sequence image of an electrocardiogram signal into an image in an array form; a CNN layer configured to generate a feature map by performing a convolution operation on the image in an array form; a sequence unfolding layer configured to convert the generated feature map into a sequence image; a flatten layer configured to convert the converted sequence image into one-dimensional data; and a long-short term memory network layer configured to extract feature values using a weighted value on the converted one-dimensional data; and a classification module configured to classify stress according to the extracted feature values.