Abstract: The present disclosure provides a method and apparatus for processing an electrocardiogram signal and an electronic device. The method includes: obtaining an electrocardiogram signal containing a plurality of selected waves; determining an interval sequence for the plurality of selected waves; converting the interval sequence into a symbol value sequence, based on symbolic dynamics; determining a Shannon entropy of the symbol value sequence; and classifying the electrocardiogram signal, based on a value of the Shannon entropy.

Abstract: A sleep testing method, a sleep testing apparatus, a sleep-aiding device, and a sleep-aiding method are described. The sleep testing method comprises: acquiring an electroencephalogram signal of a user; processing the electroencephalogram signal to obtain energy values of the electroencephalogram signal in a plurality of set frequency bands; calculating a relative energy value of the electroencephalogram signal in the plurality of set frequency bands; and determining a sleep state, mental stress and the degree of fatigue according to the relative energy value. According to the sleep testing method, the sleep state, the mental stress, and the degree of fatigue of a user can be simultaneously determined just according to an electroencephalogram signal, and a plurality of pieces of testing data related to sleep can be obtained in a single instance of testing.

Abstract: There is provided an electronic device for detecting apnea and a computer-readable storage medium. The electronic device includes: at least one of an electroencephalographic sensor configured to detect electroencephalographic data of a user or a nasal airflow sensor configured to detect nasal airflow data of the user; and a controller communicatively coupled to the at least one of the electroencephalographic sensor or the nasal airflow sensor. The controller is configured to determine a candidate apnea event based on at least the electroencephalographic data or the nasal airflow data.