Abstract: A method for extracting f wave from a single-lead electrocardiography signal is provided. The method includes: establishing a two-channel temporal convolutional neural network model, including two coding submodules, two mask estimation submodules, an information fusion module and two decoding submodules; constructing a training data set of ECG signals; training the two-channel temporal convolutional neural network model, and saving the trained model. The two-channel temporal convolution neural network encodes and decodes a QRST complex and the f wave respectively, and uses a mask of information fusion to estimate and construct regular items to restrict a distribution difference of QRST component coding features, so as to reduce the distortion of the QRST complex, select potential features of a QRST complex and f wave with high signal-to-noise ratio, and thus improve a detection accuracy of the f wave.

Abstract: A method for extracting f wave from a single-lead electrocardiography signal is provided. The method includes: establishing a two-channel temporal convolutional neural network model, including two coding submodules, two mask estimation submodules, an information fusion module and two decoding submodules; constructing a training data set of ECG signals; training the two-channel temporal convolutional neural network model, and saving the trained model. The two-channel temporal convolution neural network encodes and decodes a QRST complex and the f wave respectively, and uses a mask of information fusion to estimate and construct regular items to restrict a distribution difference of QRST component coding features, so as to reduce the distortion of the QRST complex, select potential features of a QRST complex and f wave with high signal-to-noise ratio, and thus improve a detection accuracy of the f wave.

Abstract: The present disclosure provides a method for scalable transmission of a video track. In the method, a video source is compressed and encoded by using a scalable video coding scheme and information related to the encoding process is recorded. A video track file is generated for describing importance and address information for the respective code stream block. During the video transmission process, a code stream selection unit selects and organizes a code stream based on the video track file and an available network bandwidth for transmission. A video receiver receives and decodes the code stream and estimates the available network bandwidth and feeds information on the available network bandwidth back to the video transmitter. With the method according to the present disclosure, the smoothness of the video can be guaranteed even if the network environment deteriorates, despite some degradation in video quality.