829 results about "Anesthesia" patented technology

The invention relates to the technical field of medical simulation training, in particular to an anesthesia puncture virtual simulation operation training and analysis system which comprises a force feedback calibration unit, a force feedback adjustment unit and a force feedback output unit. A theoretical force feedback value is calculated based on a human tissue mechanical model library, tissue levels and characteristics are accurately considered, in a deviation correction link, a force perception deviation value is periodically recalculated, data are processed by applying a sliding window averaging method, overall deviation and local deviation are distinguished and correspondingly adjusted, and the overall deviation is uniformly corrected; functional fine adjustment is locally set according to puncture depth sections, time-dependent force feedback of tissue viscoelasticity is considered, components are calculated through convolution integral and synthesized into final values with elasticity and inertia components, force feedback accuracy is improved comprehensively, individual differences and operation details of trainees are fitted, and anesthesia puncture training quality and effect are improved efficiently.

The invention provides a patient anesthesia state analysis method and system based on physical sign data, and relates to the technical field of anesthesia state monitoring and analysis. The system comprises an anesthesia state monitoring module, an electroencephalogram sign correlation analysis module, an anesthesia state local anomaly detection module and an anesthesia state diffusion detection module. According to the method, the correlation between the electroencephalogram state and the physical sign data is utilized, the anesthesia state of the patient is comprehensively analyzed by combining the electroencephalogram state and the physical sign parameters, static analysis of the local anesthesia stage and cross-stage dynamic diffusion detection are combined, a more refined and intelligent anesthesia state monitoring scheme is provided, and the monitoring accuracy of the anesthesia state is improved. The accuracy of anesthesia abnormity detection is improved, comprehensive monitoring and real-time early warning of the anesthesia state can be achieved, and the safety of a patient in the anesthesia process is ensured.

The invention provides an anesthesia depth monitoring method, a medium and an electronic device, and belongs to the technical field of anesthesia depth monitoring, and the anesthesia depth monitoring method comprises the following steps: collecting an electroencephalogram signal, an electrocardiogram signal and a respiratory activity signal of a patient, and carrying out preprocessing, grouping and feature extraction to realize anesthesia depth monitoring. The method comprises the following steps: firstly, segmenting a signal, calculating the similarity, and classifying subsequences into stable and fluctuating subsequences; and then, determining a step length according to the alternative interval, processing stable and fluctuating subsequences, and meanwhile, filtering, reducing noise and recording an abnormal waveform segment. Then, the signals and the abnormal waveform segments are processed in parallel on the GPU and the CPU, and features are extracted; and finally, through clustering and dimension reduction optimization features and in combination with abnormal waveform segment features, obtaining final anesthesia depth features, and inputting the anesthesia depth features into a monitoring model to obtain a monitoring result. The technical problem that the anesthesia depth monitoring result is not accurate enough due to the fact that interference or small fluctuation is often difficult to process in an existing anesthesia depth monitoring technology is solved.

The invention discloses an optimization analysis system for simulating an anesthesia process, relates to the technical field of anesthesia simulation optimization analysis, and is used for solving the problem of inaccurate anesthesia individualized simulation decision. By constructing an anesthesia simulation system fusing a pharmacokinetic and pharmacodynamic model and a physiological coupling model, dynamic process simulation under individual physiological states and operative characteristics is realized, state evolution trajectories of an induction period, a maintenance period and a resuscitation period can be accurately deduced, and by introducing deep learning calculation and stage continuity constraints, the accuracy of the state evolution trajectories of the induction period, the maintenance period and the resuscitation period is improved. The method comprises the following steps of: establishing a multi-path drug delivery and ventilation strategy, setting a risk-efficiency scoring function, completing state tracking and index evaluation of the whole process, generating a strategy scoring set with confidence information, further supporting an abnormal probability judgment and risk triggering mechanism by the system, and outputting key monitoring parameters and coping strategies, so as to improve the simulation accuracy and stability; therefore, closed-loop control of strategy optimization and risk early warning is realized, and the credibility of the anaesthesia simulation process is improved.

The invention discloses an intelligent anesthesia depth monitoring system and method, and relates to the technical field of medical anesthesia, and the method is characterized in that through real-time data acquisition of an ultrasonic system and an electromyography instrument, nerve surrounding tissue data of shoulder and arm parts are accurately acquired. And inputting data of tissues around nerves into a real-time anesthesia depth calculation formula to calculate a real-time anesthesia depth Dreal, carrying out preliminary comparison on the real-time anesthesia depth Dreal and a target anesthesia depth Dtarget to obtain an anesthesia depth difference degree D, and evaluating a current anesthesia injection effect in real time. And based on the preliminary evaluation result, executing an anesthetic injection rate adjustment mechanism, and dynamically adjusting the anesthetic injection rate Radj (t) at the current time t to ensure that the anesthetic amount is accurately adjusted along with the change of the physiological state of the patient. Through the real-time dynamic adjustment mechanism, the anesthetic dosage control flexibility is improved, and continuous and stable anesthesia depth of a patient is ensured.

The invention discloses an anesthesia puncture outfit for a surgical patient, and relates to the technical field of anesthesia puncture outfit, the anesthesia puncture outfit comprises a puncture handpiece, the puncture handpiece is provided with a puncture needle sheath; an anesthesia administration part is mounted on the puncture handpiece; the anesthesia administration part is used for sliding on the puncture needle sheath piece; the puncture needle sheath piece is used for guiding the anesthesia administration part; a bubble removing guide piece is mounted on the puncture handpiece; the bubble removing guide piece is used for exhausting; a sampling sealing piece is mounted on the defoaming guide piece; the anesthesia administration part can be matched with a puncture needle sheath piece, a doctor can conveniently and rapidly conduct puncture anesthesia work, the structure is easy to operate, the doctor can more conveniently locate the arachnoid, the accuracy of medicine injection of the subarachnoid space is guaranteed, and the problems that an existing anesthesia puncture outfit for a surgical patient is inconvenient to prompt the doctor to penetrate through the subarachnoid space, and the working efficiency is high are solved. And excessive puncture is easily caused.

The invention relates to the technical field of anesthesia depth monitoring, in particular to an anesthesia depth monitoring method based on a multi-modal dynamic response index (MDRI), which comprises the following steps of: acquiring physiological signals of a patient, and applying external stimulation to obtain a physiological signal result set # imgabs0 #; performing data preprocessing on the physiological signal result set # imgabs 1 # to obtain a preprocessing result set # imgabs 2 #; and extracting the characteristics of the preprocessing result set # imgabs3 # to obtain a multi-modal dynamic response index (MDRI). According to the anesthesia depth monitoring method based on the MDRI, by integrating different physiological signals from a patient and combining the influence of external stimulation on the signals, the anesthesia state of the patient can be evaluated more accurately, and further, anesthesia depth evaluation is obtained by accurately monitoring the anesthesia depth; an anesthetist can be helped to better adjust the dosage of anesthetic medicine, it is ensured that a patient keeps a proper anesthesia state in the operation period, and the risk that anesthesia is too shallow or too deep is reduced.

The invention discloses anesthesia recovery auxiliary equipment and an auxiliary monitoring method, and relates to the related field of anesthesia recovery monitoring, and the equipment is characterized in that a physiological parameter acquisition module carries out sensing monitoring on a patient through a non-invasive sensor, and outputs a physiological monitoring signal set; a pharmacokinetic model is embedded in the metabolism analysis module, and the metabolism analysis module is used for performing metabolism dynamic change analysis on the patient to obtain predicted waking duration; the state recovery evaluation module is used for evaluating the physiological monitoring signal set and outputting a state recovery index; the auxiliary reminding module is used for judging and generating an auxiliary reminding signal if the preset recovery index is not reached in the predicted waking duration; the remote communication module is used for transmitting the auxiliary reminding signal to the cloud platform, and the cloud platform carries out reminding. The technical problems that existing anesthesia recovery auxiliary monitoring is not accurate enough and the reaction speed is poor are solved, and the technical effect of improving anesthesia recovery monitoring accuracy and the reaction speed is achieved.

The invention relates to the technical field of vision assistance, and discloses an anesthesia puncture positioning method and system based on vision assistance, and the method comprises the steps: accurately positioning an anesthesia puncture point through multi-view image fusion, hyperspectral image processing, image preprocessing, illumination equalization, edge enhancement, depth feature extraction and the like. The method comprises the following steps: firstly, constructing an image coordinate system, collecting a plurality of camera images, and obtaining a fused clear image through a designed multi-view fusion algorithm and distance calculation; and in combination with a hyperspectral image fusion algorithm, the image quality is further improved. Then, residual mapping filtering denoising and local histogram enhancement are used for illumination equalization, and the image contrast and edge details are enhanced; a convolutional neural network is adopted, interest point detection is carried out, a Hessian matrix is utilized to describe image second-order changes, and local depth features are extracted. And accurate positioning of an anesthesia puncture point is realized through a weighted soft voting classifier and a dynamic threshold method.

The invention provides a liver blood flow and anesthesia depth combined monitoring system in a liver operation. The liver blood flow and anesthesia depth combined monitoring system comprises seven modules including a multi-source data collector, a signal preprocessor, a physiological coupling model calculator, an operation recognizer, a brain-liver information flow analyzer, a risk prediction early warning device and a clinical decision assist device. According to the system, liver blood flow parameters and anesthesia depth parameters are collected and analyzed in real time, a dynamic coupling relation model between the liver blood flow parameters and the anesthesia depth parameters is established, and in combination with automatic recognition of surgical operation and quantitative analysis of brain-liver information flow, early prediction and early warning of surgical risks are achieved, and individualized clinical decision support is provided.

The invention belongs to the technical field of medical puncture equipment, and particularly discloses an ultrasound-guided peripheral nerve block anesthesia directional puncture device which comprises a first fixing tube, a connecting plate is arranged on the outer side of the first fixing tube, a first motor is arranged above the connecting plate, and a first rotating shaft is arranged at the output end of the first motor. A first gear is arranged on the outer side of the first rotating shaft, a second gear is arranged on the outer side of the first fixing pipe, a connecting ring is arranged below the second gear, a first connecting frame is arranged below the connecting ring, a second fixing pipe is arranged on the inner side of the first connecting frame, and a first electric telescopic rod is arranged on the inner side of the second fixing pipe. An electrode plate is arranged at one end of the first electric telescopic rod, a third fixing pipe is arranged on the inner side of the first connecting frame, a second electric telescopic rod is arranged on the inner side of the third fixing pipe, and an ultrasonic probe is arranged at one end of the second electric telescopic rod; neural stimulation and ultrasonic guidance are combined, and the problem that tiny nerves are difficult to recognize under ultrasonic guidance is effectively solved.

The invention belongs to the technical field of cutting, and particularly relates to a medical anesthesia air storage bag edge cutting treatment device which comprises a box body, and the box body is provided with an automatic cutting mechanism used for conducting edge cutting on the bag neck portion of an anesthesia air storage bag. The automatic cutting mechanism comprises a frame fixedly connected to one side of the upper end face of the box body, a connecting pipe is fixedly connected to the right side of the upper end of the frame, two first sliding rods are slidably connected to the right side of the upper end of the frame, a connecting plate is fixedly connected to the lower ends of the first sliding rods, and a blade plate is slidably connected to one side of the connecting plate. By means of the automatic cutting mechanism and the inflation assembly, the bag neck portion of the anesthesia air storage bag can be automatically cut, the manual cutting process of workers is omitted, the labor intensity of the workers is reduced, wrinkles on the surface of the anesthesia air storage bag can be flattened in the mode that the interior of the anesthesia air storage bag is inflated before cutting, and the cutting efficiency of the anesthesia air storage bag is improved. And the situation that the cutting precision is affected due to wrinkles on the surface of the anesthesia air storage bag is avoided.

The invention belongs to the technical field of anesthesia depth regulation and control, and particularly relates to an anesthesia depth self-adaptive regulation and control method and system based on a dynamic time sequence model, and the system comprises a portable computer which is used for operating a program, receiving electroencephalogram time sequence data output by a signal collection device, receiving a pressing event of a handle, and obtaining efficacy information of an effect part; a channel gating result is generated based on the information and used for conducting category division on a drug administration adjustment request, gating is conducted through a shared code LSTM and a two-channel LSTM head and an effect room concentration vector and a hysteresis band, the problem of rhythm dislocation caused by exponential smoothing lag and induction-waking asymmetry is solved, mistaken up-regulation or mistaken down-regulation and overshoot are reduced, and the accuracy of drug administration adjustment is improved. And the adjustment convergence time is shortened, so that the anesthesia depth is more stably maintained in a target interval.

The invention discloses an anesthetic waste gas treatment device, and relates to the technical field of waste gas treatment, the anesthetic waste gas treatment device comprises a box body, an air exhaust structure mounted at the top of the box body, an exhaust pipe mounted on the outer wall of one side of the box body, a filter mounted on the outer wall of one side of the box body, and a treatment tank; the gas injection mechanism is used for dispersing and injecting the anesthetic waste gas into the solution in the treatment tank; the butt joint mechanism is used for being in butt joint with the gas injection mechanisms on the treatment tanks in sequence; the transposition mechanism is used for carrying out transposition on each treatment tank; the gas control mechanism is used for controlling waste anesthetic gas to be continuously injected into the solution; according to the waste anesthetic gas treatment device, extracted waste anesthetic gas can be repeatedly injected into a solution in a dispersed manner through the gas control mechanism, so that the waste anesthetic gas is in full contact with the solution, the effect of full purification treatment of the waste anesthetic gas is achieved, and the purification time of the waste anesthetic gas is not increased; the purpose that the anesthetic waste gas can be purified for multiple times without additionally increasing the purification time is achieved.

The invention discloses an anesthesia depth monitoring system and method based on skin electric signal analysis, the system comprises a dynamic skin electric analysis subsystem, a dynamic signal enhancement and adaptive noise reduction processing subsystem, a polymorphic fusion depth network subsystem and a reinforcement learning driving adaptive regulator, and the method is realized based on the system. According to the invention, an accurate anesthesia depth monitoring scheme is provided through multi-modal analysis of skin electric signals; based on a self-adaptive drug adjustment algorithm and reinforcement learning, real-time adjustment of the anesthesia depth is realized, and too deep or too shallow anesthesia is prevented; individual anesthesia management is performed in combination with individual differences of patients, so that the anesthesia safety is improved; compared with a traditional electroencephalogram method, the GSR signal collection mode is noninvasive and more comfortable, and long-term monitoring of a patient is facilitated; through innovative signal processing, deep learning and adaptive adjustment mechanisms, a more intelligent, accurate and personalized anesthesia depth monitoring solution can be provided.

The invention discloses an auxiliary device for neck anesthesia nursing in an operating room, which comprises a shoulder support pad, a neck support pad, a lifting part and a headrest arranged on the lifting part, and further comprises a cleaning and disinfecting mechanism for disinfecting the shoulder support pad and the neck support pad. The cleaning and disinfecting mechanism is located on the shoulder supporting pad and the neck supporting pad. According to the cleaning and disinfecting device, through the effect of the cleaning and disinfecting mechanism, the cleaning roller moves and rotatably cleans and disinfects the outer walls of the shoulder supporting pad and the neck supporting pad, wiping cloth can be automatically wetted by alcohol, and workers do not need to manually clean and disinfect the outer walls of the shoulder supporting pad and the neck supporting pad; the operation steps of disinfecting and using the neck anesthesia nursing auxiliary device by the worker are correspondingly reduced, so that the working efficiency of using the neck anesthesia nursing auxiliary device by the worker is improved.

The invention provides a surgical anesthesia information early warning method and system, and the method comprises the steps: obtaining a BMI index of a patient based on coded structured data, and carrying out the mining and analysis of a potential state of the patient through combining a mining analysis model and vectorized unstructured data; based on the unstructured data, collecting an anesthesia physiological signal of the patient and an electroencephalogram signal in an anesthesia state, and classifying the anesthesia state according to the anesthesia physiological signal and the electroencephalogram signal to obtain a classified anesthesia state; and collecting an anesthesia depth data set based on the potential state and the classified anesthesia state, extracting anesthesia features according to the anesthesia depth data set, constructing an early warning model, and inputting the feature input sample into the early warning model to enable the early warning model to generate early warning information. Early warning is performed through the early warning model to generate the early warning information, so that the state of the patient can be timely processed and adjusted in advance.

The invention belongs to the technical field of medical care instruments, and discloses an anesthetic atomizing device for anesthesia in an operating room, which is characterized by comprising an atomizing shell with a grip, a filtering mechanism arranged on the atomizing shell and a storage groove formed in the atomizing shell, and a transparent liquid medicine tank is fixedly installed in the storage groove, the upper surface of the transparent liquid medicine tank fixedly communicates with an exhaust pipe, and an adjusting mechanism is arranged on the outer surface of the lower end of the exhaust pipe. According to the anesthetic atomizing device for anesthesia in the operating room, in the using process, by arranging the adjusting mechanism, rotation of an output shaft of a servo motor drives a rotating shaft to rotate, rotation of the rotating shaft drives a gear to rotate, the gear and a gear ring are meshed to drive the gear ring to rotate, and a special-shaped block moves between a track groove and a sliding groove; and the special-shaped blocks are gathered or dispersed, so that the flow speed of the atomized gas entering the exhaust pipe is adjusted.

An infusion solution oxygenation device and an infusion solution oxygenation system capable of supplying oxygen to an infusion solution safely, simply, and quickly. An infusion solution oxygenation device includes a catheter connection portion to which a catheter that supplies an oxygen-containing gas to an infusion solution in an infusion solution container is connected, a gas supply unit that supplies the oxygen-containing gas to the catheter connection portion, and a container pressure sensing unit that senses an internal pressure of the infusion solution container, the gas supply unit controlling the supply of the oxygen-containing gas on the basis of the internal pressure of the infusion solution container sensed by the container pressure sensing unit.

The invention discloses a puncture assisting device for an anesthesia puncture bag, and belongs to the field of puncture assisting. Comprising lifting clamping mechanisms, and the number of the lifting clamping mechanisms is two. A guide mechanism is arranged between the two lifting clamping mechanisms; a puncture mechanism is arranged on the front surface of the guide mechanism; a puncture needle body is arranged on the inner side of the puncture mechanism; the puncturing mechanism comprises a protective cylinder, a through lifting groove is formed in the left side of the protective cylinder, and the inner side of the lifting groove is rotationally connected with a lead screw through a rotating shaft; in the aspect of clamping and fixing, the lifting clamping mechanism can flexibly select a vertical clamping mode or a transverse clamping mode according to different bed body edge structures, the stable and firm clamping effect is achieved in the clamping process through a positioning rod, an adjusting bolt and other components, a firm foundation support is provided for the whole puncture operation, and the puncture safety is improved. And the puncture adjusting distance is not shortened in order to change the clamping mode.

The present application relates to the field of pharmaceutical preparation technology, and specifically discloses a preparation process of lidocaine hydrochloride gel. The preparation process of lidocaine hydrochloride gel provided by the present application, comprising the following steps: batching, sterilization, step-by-step cooling; the specific process of the step-by-step cooling is: the first stage: first, keep warm at 90-60°C for 1-2h, and the stirring speed is 10-60rpm; the second stage: then keep warm at 60-40°C for 1-2h, and the stirring speed is 10-60rpm; the third stage: finally stand and keep warm at 40-10°C for 5-15h. The preparation process of lidocaine hydrochloride gel provided by the present application can obtain colorless and transparent lidocaine hydrochloride gel with high uniformity and good stability, greatly improving the practical reliability and safety of lidocaine hydrochloride gel.

The invention relates to the technical field of medical data analysis, in particular to an anesthesia depth monitoring method and system. The anesthesia depth monitoring system comprises a reference data acquisition module, a real-time data acquisition module and an anesthesia depth analysis module. According to the method, the acquired reference brain wave data, the acquired reference physiological signal data, the acquired real-time brain wave data and the acquired real-time physiological signal data are processed through the anesthesia depth analysis model to output the anesthesia depth value, and then an anesthetist is assisted to control the dosage of anesthetic through the anesthesia depth value; the brain wave differential feature vector and the physiological signal differential data are used for reflecting personalized features of the patient, higher accuracy of anesthesia depth analysis results can be obtained for different patients, a self-attention mechanism is performed through brain wave data changes of the patient, and personalized features of the patient are further enhanced.

The invention relates to the technical field of medical signal processing, and discloses an anesthesia depth multi-level classification information assessment method and system, and the method comprises the steps: collecting an electroencephalogram signal, and carrying out the preprocessing operation of the electroencephalogram signal, and obtaining signals of five frequency bands; global field power is calculated for all electroencephalogram signals of each frequency band, and a peak topographic map is identified; performing clustering analysis to extract a micro-state template, and matching and reconstructing a micro-state time sequence; and establishing a feature screening and classification identification model, inputting each frequency band signal into the feature screening and classification identification model, screening the extracted micro-state features, carrying out multi-level classification on the anesthesia depth, and finally outputting an anesthesia depth evaluation result. The system comprises an electroencephalogram collecting and processing module, a clustering reconstruction module and an anesthesia depth evaluation module. According to the method, the preprocessed electroencephalogram signals are decomposed through Hilbert-Huang transform, and anesthesia depth evaluation is achieved.

The utility model discloses a suite for anesthesia puncture, and particularly relates to the field of medical instruments, which comprises a puncture needle and is characterized in that a liquid storage bag is arranged at one end of the puncture needle, a conveying channel is arranged in the middle of the puncture needle, the front end of the puncture needle is arc-shaped, and four groups of conical blocks are arranged at the front end of the puncture needle. The front end of the puncture needle is in an arc shape, a plurality of sets of flow channels are formed in the surface of the conical block, the cross section of the top end of the conical block is in an arc state, a grip is arranged on the surface of the puncture needle, a fixing mechanism is arranged at one end of the grip, and the fixing mechanism and the grip are arranged on the surface of the puncture needle in a sleeved mode. The puncture needle can move in the human body conveniently through the conical block arranged at the front end of the puncture needle and the flow channel formed in the surface of the puncture needle, meanwhile, the cross section of the top end of the conical block is in an arc shape, and the conical block is prevented from damaging the interior of the human body when moving in the human body.

The invention discloses an anti-bedsore application system of a micro air bag structure in surgical anesthesia, which comprises a micro air bag cushion, the micro air bag cushion comprises a plurality of micro air bag main bodies, the outer parts of the plurality of micro air bag main bodies are all provided with air inflation interfaces and valves, and the micro air bag main bodies are connected with the micro air bag main bodies; and the micro air bag main body is provided with a high-precision pressure sensing module and a control system which correspond to the micro air bag main body. The invention has the following beneficial effects: 1, light weight and miniaturization: the air bag is light, thin and soft, and can be folded and stored after deflation; 2, innovative micro air bag structural design: a plurality of micro air bags are accurately arranged in key areas, which are easily pressed, of a patient; each air bag is provided with an advanced intelligent control system, the system can regulate and control the inflation and deflation degree of each air bag in real time according to the physiological curve and the body pressure distribution condition of the patient, manual regulation and control can also be selected, and therefore precise management and effective relieving of the pressure of the pressed local part are achieved.

The operating room waste anesthetic gas mask collecting device comprises a filter box, a gas inlet pipe and a gas outlet pipe are symmetrically arranged on the side wall of the filter box, a mask is installed on the gas inlet pipe through a connecting hose, and a first gas pump, a purifier and a liquid pump are sequentially installed on the upper surface of the filter box; the air outlet pipe is connected with a first air pump through a first communicating pipe, the air outlet end of the first air pump is provided with a mixing box through a second communicating pipe, the mixing box is communicated with the purifier, the water inlet end of the liquid pump is communicated with the purifier, and the water outlet end of the liquid pump is communicated with the mixing box; and the outer side wall of the purifier communicates with an exhaust pipe, the exhaust pipe is connected with a second air pump through a third communicating pipe, and the second air pump is installed on the outer side wall of the filter box. The device has the advantages of remarkable filtering effect, easiness in installation and maintenance, thorough purification effect and the like, and can effectively treat the anesthetic waste gas in the operating room and reduce the harm to the environment and human bodies.

The invention discloses a tracheal catheter and a using method thereof, and relates to the technical field of medical instruments, the tracheal catheter comprises a catheter body, a gas cuff and a liquid cuff, and a channel for ventilation is constructed in the catheter body; the catheter body is sleeved with the air sleeve bag, and the air sleeve bag is communicated with an inflation and exhaust pipe. When the liquid sleeve bag is in a liquid filling state, a medicine cavity is formed between the inner wall of the liquid sleeve bag and the outer wall of the air sleeve bag; the medicine cavity is communicated with a medicine filling and discharging pipe, a plurality of liquid passing holes are formed in the liquid sleeve bag, each liquid passing hole has a contraction state and an expansion state, and when the pressure of liquid in the medicine cavity is smaller than a first pressure value, the liquid passing holes are in the contraction state; when the liquid pressure in the medicine cavity is not smaller than the first pressure value, the liquid passing hole is in an expanded state. According to the tracheal catheter, medicine can be administrated to the tracheal tissue surface of a patient under the condition that the tracheal catheter is not pulled out, liquid medicine can be anesthetic or other liquid medicine, then damage to the airway mucosa of the patient can be weakened, discomfort and stress reaction are relieved, and smooth operation is facilitated.

The present invention relates to the technical field of puncture positioning, and discloses an adjustable anesthesia-assisted positioning puncture device for ultrasonic anesthesia, which includes a first cannula, a second cannula, a positioning component and a moving component. Through the arrangement of the moving component, the first extrusion rod, and the connecting circular plate, the first connecting block, the first connecting rod and the second connecting rod installed inside the first extrusion rod, not only can the present solution achieve the effect of first positioning and then puncturing under the action of the moving component, so that the puncture effect can be more stable and effective, but also after the moving component is reset, the puncture needle can be reset first, and then the positioning component can be reset, so that the present solution can be carried out more safely, so as to avoid the positioning component becoming loose during the reset process of the puncture needle, thus causing unnecessary damage to the patient by the puncture needle.

The present invention relates to a method and apparatus for providing parameters indicating an increased probability of postoperative delirium. According to a first invention aspect, there are the steps of: detecting (401) at least one EEG signal in the patient's head; determining (402) the intraoperative alpha peak frequency of the EEG signal, wherein the alpha peak frequency in the power spectrum of the EEG signal is the frequency with the highest power in the alpha frequency band; checking (403) whether the measured intraoperative alpha peak frequency is significantly lower than a preset reference value of the alpha peak frequency; and, for the situation, providing (404) corresponding information as a parameter indicating an increased probability of postoperative delirium. A second invention aspect evaluates the power change of the alpha frequency band after the use of anesthesia-inducing drugs. A third invention aspect relates to the determination of the average amplitude of the "DC" EEG signal and its curve at the beginning of the anesthesia-induced unconsciousness.

The invention discloses an anesthesia puncture auxiliary positioning method, and relates to the technical field of medical image processing, and the method comprises the steps: obtaining multi-modal image data of an area to be anesthetized, and carrying out the image synchronization and fusion of the multi-modal image data; uniformly dividing the fused multi-modal comprehensive image into a plurality of image blocks according to a preset number, and calculating the gray dynamic change degree of each image block; based on the gray dynamic change degree of each image block, performing noise removal and feature enhancement processing on each image block; generating an accurate three-dimensional model of a spinal canal area through a volume rendering method by utilizing the processed multi-modal image data, and displaying the three-dimensional model in real time in an overlapping manner through augmented reality equipment; and marking an important anatomical structure on the generated three-dimensional model, and calculating an optimal puncture path avoiding a key structure in a three-dimensional space by adopting an A * algorithm. Through multi-modal image fusion, three-dimensional reconstruction and path planning, the precision and operability of anesthesia puncture auxiliary positioning are improved.