Samsung Electronics Co., Ltd.

Yonsei University

Chang-mok Choi

Kun-soo Shin

Youn-ho Kim

Jin-Kwon Kim

Myoung-ho Lee

A method of controlling a threshold for detecting peaks of physiological signals includes: obtaining a physiological signal measured from a person being examined; determining whether a peak of the physiological signals is detected based on a result of comparing the physiological signals with a threshold; and controlling the threshold based on a minimum threshold and either the threshold or a feature value of the detected peak based on a result of the determining. When a threshold for detecting peaks of physiological signals is controlled, even if an interval between the peaks is irregular or there is a large difference in values of the peaks, the peaks can be accurately detected.

Apparatus and method of controlling threshold for detecting peaks of physiological signals

A method of classifying an input pattern and a pattern classification apparatus are provided. The method includes enabling an artificial neural network to learn based on learning input data received by an input layer of the artificial neural network, determining classification of an input pattern received by the input layer of the enabled artificial neural network according to an output value obtained from an output layer of the artificial neural network, the obtained output value being based on the input pattern, updating connection intensities of a plurality of connection lines of the enabled artificial neural network to output a result value indicating the determined classification from the output layer when the input pattern, and determining updated classification of the input pattern according to an updated output value obtained from an output layer of the updated artificial neural network, the obtained updated output value being based on the input pattern.

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Seoul, South Korea

Chang-mok Choi