System Design And Early Warning Research On Neurophysiological Intraoperative Monitoring

Neurophysiological monitoring in clinical surgery has become more and more popular in various clinical operations in neurosurgery,orthopedics,spinal orthopedics,cardiovascular surgery,and ENT.Intraoperative neurological monitoring has gradually formed an important part of modern clinical medicine.Because it can objectively and effectively estimate the integrity of the patient's neurological function in a surgically dangerous state based on changes in electrophysiological signals of the sensory and motor conduction system,changes in cortical bioelectricity,and blood perfusion in the brain.Therefore,intraoperative neurophysiological monitoring(IONM)is often used to assess the state of the spinal cord and nerve structures in real time,improve the safety of surgery,and reduce the risk of surgery.However,the current neurological monitoring technology is not perfect.In many cases,due to various factors(anesthesia,electrical interference,mechanical failure,etc.),reports of false negatives or false positives often occur,which is difficult to achieve high prediction rate.The research of this subject is based on a monitoring module of spinal minimally invasive surgery robot.By using BioRadio physiological signal multichannel monitoring equipment and collecting multi-channel somatosensory evoked potentials,spontaneous electromyography,and analyzing the integrity of spinal nerve conduction pathways during surgery through brain wave analysis,a Bluetooth transmission is constructed.A Neurophysiological monitoring and early warning system is constructed.For the data acquisition module,the data preprocessing in signal acquisition is mainly studied,and the waveform is denoised by the filtering algorithm.Since the evoked potential is affected by factors such as ages and heights of people,the filtered data is finally standardized.According to the requirements,the WPF software interface is designed to display real-time waveforms and real-time warning information,and communicate with the surgical robot arm through UDP protocol to transmit early warning signals in time to prevent the surgical robot from performing further neurological damage to the spine.The subject carried out animal experiments and human experiments,and tested the filtering algorithm and the early warning algorithm.The expected results were obtained and the expected goals of the project were completed.