Patent ID: 11877852
Assignee: INDUSTRY ACADEMIC COOPERATION FOUNDATION CHOSUN UNIVERSITY
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A computer system for classifying electrical signals representing stress experienced by a subject, computer system comprising:
one or more computer processors configured to:
measure one or more instances of an electrocardiogram (ECG) signal categorized in sequentially input datasets, each ECG signal being in either a first state in which the ECG signal is idle or a second state in which noise is generated;
extract one or more feature points of each measured ECG signal in the first state and in the second state, wherein extracted feature points comprise an R-peak value and an S-peak value of a respective ECG signal;
perform K-means clustering on the ECG signals in the first and second states based on extracted feature points and generate clustered ECG signals based on performed K-means clustering; and
classify stress experienced by the subject in the first state or the second state based on an R-peak value and an S-peak value calculated based on clustered ECG signals and train a long-short term memory (LTSM), a type of recurrent neural network (RNN), to recognize patterns in clustered ECG signals even when a distance between sequentially input datasets is relatively long.