Abstract: An apparatus according to an embodiment includes a first training module configured to perform a first training on a text detection model which receives a document image and outputs a text score map and a text mask for the document image by using first training data including text detection ground truth (GT) and text enhancement GT, and a second training module configured to perform a second training on the text detection model by using second training data including only the text detection GT.

Abstract: An electrocardiogram analysis apparatus according to an embodiment of the present invention includes an inputter configured to receive an electrocardiogram of a subject, a beat analyzer configured to first detect and classify one or more normal beats among a plurality of beats included in the received electrocardiogram, request beat classification for remaining beats except for the one or more normal beats from a remote diagnosis server, and label each of the plurality of beats according to a normal beat detection result and a beat classification result received from the remote diagnosis server, and a rhythm analyzer configured to perform rhythm analysis on the electrocardiogram based on a labeling result.

Abstract: A time series data analysis method according to an embodiment of the inventive concept is performed by a computing device. The method includes inputting, for each of a plurality of units, into which the time series data is split on a time axis, a feature of each of the units to an intermediate neural network, obtaining m-dimensional intermediate output data (m is a natural number of 2 or more) from the intermediate neural network, inputting the intermediate output data of a plurality of units immediately adjacent in time to a final neural network to obtain final output data output from the final neural network, and generating an analysis result of the time series data using the final output data.