Bioelectrical signal abnormality monitoring method and apparatus

A method for monitoring abnormal bioelectric signals, wherein a biological electrical signal collection device comprises a reference electrode, a right leg drive electrode, and multiple collection electrodes, one of the multiple collection electrodes serves as a positive electrode of a multi-electrode bioelectrogram acquisition device, and the reference electrode serves as a negative electrode of the multi-electrode bioelectrogram acquisition device, wherein the method comprises the following steps:

• generating a preset constant frequency noise signal, wherein the preset constant frequency noise signal is a sine wave signal;
• superimposing the preset constant frequency noise signal onto the right leg drive electrode, wherein under a premise that the right leg drive electrode does not detach, the preset constant frequency noise signal is dissipated in human tissue and is configured to be collected by the multiple collection electrodes;
• preprocessing analog signals from the reference electrode and each of the multiple collection electrodes by a front-end circuit to yield preprocessed analog signals, and outputting the preprocessed analog signals corresponding to each of the multiple collection electrodes to an analog-to-digital converter, wherein the preprocessing comprises differential amplification;
• converting the preprocessed analog signals corresponding to each of the multiple collection electrodes into digital signals by the analog-to-digital converter, and transmitting the digital signals corresponding to each of the multiple collection electrodes to a computation and analysis unit;
• performing band-stop filtering on each of the digital signals for a frequency band of the preset constant frequency noise signal by the computation and analysis unit, the digital signals before band-stop filtering and the digital signals after band-stop filtering being subtracted periodically at preset time intervals to obtain a difference, storing the difference in a fixed length queue, and calculating a root mean square (RMS) result of data in the fixed length queue, and calculating a human impedance based on the RMS result and a preset fitting formula, wherein the preset fitting formula is obtained by data fitting based on historical RMS results and the human impedance;
• and
• determining a connection state of each of the multiple collection electrodes based on the human impedance and preset impedance measurement standards by the computation and analysis unit, and realizing abnormal monitoring of bioelectric signals based on periodic judgment of the connection state of each of the multiple collection electrodes.