Design Of Portable Electrophysiological Parameter Monitors For Spinal Surgery

The spinal cord in the spine is an important part of the central nervous system.The neural network of our body is mainly composed of the central nervous system and the peripheral nervous system.Adult neural network is difficult to repair and non-renewable.So far,no cure for damaged adult neural network has been found.For spinal surgery,due to the presence of a large number of neurovessels in the operation site,the improper operation will lead to the damage of the nervous system,causing sequelae to patients during and after surgery,and affecting the life of patients after surgery.At present,the application of intraoperative neuroelectro physiological monitoring technology in spinal surgery has reduced a series of problems caused by improper operation to a certain extent.But there still are inevitable problems of misjudgment,resulting in "false positive" and "false negative" problems.Therefore,this paper aims at the research design of the portable electrophysiological parameter monitoring system for spinal surgery,and the specific contents are as follows:(1)The traditional electrophysiological monitoring equipment for spinal surgery has the characteristics of large volume and being difficult to store and move,which limits the use of the equipment.In order to satisfy the efficiency of using electrocardiography parameters monitors,this paper proposed a model of portable electrophysiological parameters monitor based on ADS1298.The new model greatly simplifies the front end circuit because of the high integration of chips,and it meets the needs of intraoperative monitoring by real-time display of data waveform by uploading collected data to the PC through the universal serial interface.(2)In this thesis,different algorithms are proposed for SEP and EMG signals to be monitored by the system.Aiming at EMG signal,a processing algorithm combining improved threshold method and median filtering is proposed.Firstly,the noise in the signal is denoised by the improved threshold method,and then the median filtering is used to solve the problem of baseline drift.For the noise interference of somatosensory evoked potentials,an improved superposition averaging algorithm based on IIR filtering was proposed.Finally,according to the waveform characteristics of EMG signal,an automatic warning mechanism for EMG signal is set up.(3)In this thesis,the portable electrophysiological monitoring equipment has been used for experiments.After obtaining the experimental data,the algorithm was processed to get the effective signal.The automatic warning mechanism was verified by external pulse stimulation.The experimental results show that the portable electrophysiological monitoring equipment designed in this paper basically meets the expected design requirements.