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: This invention relates to a high-performance DC amplifying device for bioelectrical signal collection, including the sequentially linked input protective/filter circuit, input buffer circuit, instrumentation amplification circuit, RC low-pass filter circuit, analog-digital conversion and peripheral circuit and CPU, as described as below: the input protective/filter circuit collects the bioelectrical signal and sends such signal to the input buffer circuit and then allows it pass through the instrumentation amplification circuit, RC low-pass filter circuit and analog-digital conversion and peripheral circuit in order. For such device, CPU controls the operation of analog-digital conversion and peripheral circuit.