Please select the most similar patent number from A, B, C and D. Which number is?
A biological energy signal extraction and conversion device, comprising: a signal extraction module (10), the signal extraction module (10) enhancing a biological energy signal generated by an original biological energy body, and then extracting the signal; a signal processing module (20), receiving the extracted original biological energy signal and filtering and amplifying the signal, and generating an output energy signal; and a signal output unit (30), being able to enhance an output function in cooperation with a magnetic substance (12), and output the energy signal to a biological energy carrier (40). By shortening the distance between the original biological energy body and a signal receiving unit (13), and using the magnetic substance (12) to enhance and excite the original biological energy body, the strength of the received extracted original biological energy signal is improved because of enhancement, and the noise proportion is greatly reduced, reducing the technical complexity and costs for back-end signal processing, and improving the effect of a biological energy signal.
A: A bioelectrical signal processing method and device in an implantable closed-loop system. The device at least comprises: a sampling electrode (101), a stimulation electrode (102), an electrical balance circuit (103), an amplification module (104), an analog switch (105), and a microcontroller unit (106); at the beginning of sampling, the analog switch (105) is switchingly connected to the sampling electrode (101) and to the amplification module (104), and a bioelectrical signal acquired by the sampling electrode (101) is subjected to amplification filtering processing of an amplification circuit (1041) and a second-order filter (1042) in the amplification module (104) and sent to the microcontroller unit for analysis; after determining a stimulation signal, the analog switch (105) is triggered to be switchingly connected to the stimulation electrode (102) and to the electrical balance circuit (103), and the stimulation signal is fed back to the stimulation electrode (102) for the treatment of a detected organism; and after the treatment is finished, the electrical balance circuit (103) releases additional charge accumulated and left by applying the stimulation signal by the stimulation electrode (102). Therefore, the accumulated charge generated by means of closed-loop stimulation can be rapidly released, the interference damage to an implant is reduced or avoided, and the acquisition sensitivity of bioelectric signals is improved.
B: A wastewater flow measuring circuit (1) and device (100). The circuit (1) comprises a microwave transceiver unit (10), used for transmitting a detection microwave signal into a matched pipe (2), and receiving a returned retroreflection microwave signal; a signal processing unit (20) connected to the microwave transceiver unit (10) and used for performing signal processing on the retroreflection microwave signal; a digital-to-analogue conversion unit (30) connected to the signal processing unit (20) and used for converting a signal output by the signal processing unit (20) to a digital signal; a control unit (40) connected to the microwave transceiver unit (10) and the digital-to-analogue converting unit (30) and used for controlling signal transmission of the microwave transceiver unit (10), receiving the digital signal, and outputting a wastewater flow signal according to the digital signal; and a wireless communication unit (50) connected to the control unit (40) and used for sending the wastewater flow signal to an upper computer.
C: A method for identifying the energy of a micro-energy device on the basis of a BP neural network. The method comprises the following steps: collecting a dynamic voltage of a micro-energy device in an open-circuit state to obtain an original voltage signal, and performing adaptive threshold value wavelet transform processing on the original voltage signal to denoise same (S1); extracting an R-wave peak value of the denoised voltage signal, so as to obtain model input data (S2); establishing a BP neural network model, inputting data to train the model, and stopping training when a training error is less than a predetermined value, so as to obtain a qualified BP neural network model (S3); and using the BP neural network model obtained in step (S3) to identify a voltage signal to be identified (S4). In the method, several characteristic quantities with relatively high influence proportions in energy signal comparison for a micro-energy device are selected, such that relatively accurate and rapid energy identification and classification can be performed, a classification result is reliable, and the anti-interference capability is strong.
D: A radar signal processing method, a microwave radar, a system and a storage medium. The method comprises: acquiring a plurality of energy information values of a reflected radar signal (S1); determining an energy peak value from the plurality of energy information values by means of spectral peak search (S2); determining, according to the energy peak value and a plurality of adjacent energy information values in the vicinity of the energy peak value, a target energy value corresponding to a target object (S3); and identifying the target object on the basis of the target energy value (S4). In the method, at least one energy peak value and all energy information values at the same distance as the energy peak value are determined by means of acquiring a radar signal reflected by a target object, and a target energy value is then determined according to the energy peak value and all the energy information values, so as to identify the target object on the basis of a target energy value. The data processing process is simple and occupies fewer resources; and the data processing speed and quality are relatively high, thereby facilitating a real-time processing operation for a radar signal.
Answer: A