Disclosed is a method for extracting a heart rate variability (HRV) feature value performed by a computing device including one or more processors. The method includes acquiring first biosignal data measured during a first time period. The method includes outputting one or more heart rate variability feature values corresponding to a time period longer than the first time period by inputting the first biosignal data into a pre-trained neural network model.