102 results about "PATIENT PHYSICAL" patented technology

The invention belongs to the field of liver cancer liver transplantation, and provides a liver cancer liver transplantation post-operation prognosis prediction system, which comprises a data acquisition module used for acquiring clinical data of a liver cancer patient from a plurality of data sources, including patient basic information, disease diagnosis information, drug use information and patient body function information; the data processing module is used for preprocessing the collected data, including data cleaning, missing value filling, data standardization and data integration, so as to ensure the quality and consistency of the data; by integrating multi-source data and combining advanced algorithms and models, accurate prediction of prognosis of patients after liver cancer liver transplantation is achieved, warning is automatically given out when a risk threshold value is reached, timely and accurate early warning information is provided for medical staff, and by collecting medicine use information and patient body function information, the patient prognosis is accurately predicted. And the physical condition of the patient can be obtained in real time through long-term monitoring, so that the prognosis prediction result is more accurate.

The invention discloses an ultrasonic anesthesia positioning method and system based on AI preoperative evaluation and a storage medium, and relates to the technical field of medical assistance. The method comprises the following steps: comprehensively collecting body health data of a patient, including a physical examination result, a laboratory examination result and a medical history, reasoning the body health data of the patient based on an operation risk knowledge graph model, and determining an operation risk level; if the operation risk level is higher than a preset risk level value, the operation risk is evaluated again in combination with past operation case information, and if the operation condition is met, the crowd is judged to be the high-risk crowd of the operation; an ultrasonic image of an in-vivo structure of an operation high-risk crowd is collected by utilizing an ultrasonic technology, the ultrasonic image is recognized by utilizing an image recognition AI algorithm, the relationship between an anatomical position and an adjacent part is determined, and then an anesthesia position is determined. The medical quality and the service level can be improved, and safer and more efficient surgical treatment experience can be brought to patients.

The invention relates to the technical field of medical health monitoring, and particularly discloses a chronic disease patient physical examination data and complication nursing monitoring system based on the Internet of Things, multi-dimensional physical examination data such as vital signs and blood biochemical indexes of a patient are collected in real time through a multi-source sensing equipment network, and an individualized data stream is constructed; extracting parameter collaborative change characteristics by adopting multi-time scale analysis, and constructing a dynamic physiological characteristic spectrum; identifying the abnormal offset by calculating the deviation degree of the feature vector distribution and the reference distribution; based on intelligent matching of the spatial distribution features of the feature vectors and a clinical case library, generating structured early warning information including risk assessment and personalized nursing schemes; and finally, visual display and preventive nursing intervention of the complication risk evolution process are realized.

The invention belongs to the related technical field of neural rehabilitation engineering, and particularly relates to a cerebral apoplexy rehabilitation method based on fusion of a motor imagery brain-computer interface and transcranial direct current stimulation, which comprises the following steps: acquiring a corresponding artifact template based on transcranial direct current stimulation parameters; carrying out source separation on the collected electroencephalogram test times by adopting a joint blind source separation algorithm to obtain clean electroencephalogram signal components; wherein the construction mode of the artifact template library comprises the following steps: extracting electroencephalogram trial artifact samples of multiple stimulation periods, and generating a transcranial direct current stimulation artifact template through an average analysis or principal component analysis mode to obtain the artifact template library; performing motion intention decoding on the clean electroencephalogram signal component to obtain a motion intention of the patient; inputting the motion intention, pre-collected patient body state evaluation information and patient feedback comfort into a fuzzy system algorithm to obtain stimulation parameters of to-be-applied transcranial direct current stimulation, and realizing active rehabilitation through the transcranial direct current stimulation. According to the invention, algorithm-driven closed-loop rehabilitation regulation and control can be realized.

The present invention relates to the field of deep learning technology, and discloses a method and system for monitoring patient vital signs data under hemodialysis, the method comprising: performing baseline analysis on hemodialysis patients, analyzing the dry weight of hemodialysis patients, and calculating the target ultrafiltration volume of dry weight; analyzing the personalized factors of hemodialysis patients during hemodialysis, identifying the vital signs fluctuation pattern of hemodialysis patients during hemodialysis, and analyzing the patient psychological factors affecting the vital signs fluctuation pattern; analyzing the degree of change of the vital signs fluctuation pattern by the personalized intervention mechanism, and constructing a psychological monitoring system for hemodialysis patients; setting an information interconnection interface between the psychological monitoring system and the vital signs monitoring equipment, setting an abnormal vital signs alarm for hemodialysis patients, and analyzing the emotional fluctuations of hemodialysis patients during hemodialysis; adjusting the acceptable dynamic interval of the abnormal vital signs alarm in real time to obtain the adjustment interval. The present invention can monitor the vital signs data of patients in a psychological state.

The utility model discloses a medical transfer sickbed in the technical field of medical equipment, which comprises a transfer bed, the transfer bed is composed of a bed frame, a bed body, a lifting mechanism and universal wheels, the bed body is arranged in the bed frame, one side of the bed frame is provided with a mounting box, one side in the bed frame is provided with a through hole, and the upper surface and the lower surface of the mounting box are both provided with driving assemblies. The medical bed has the advantages that the jacking assemblies are opened to drive the bed body to move, so that the bed body is far away from the bed frame and moves towards an operating table, after the bed body moves to the position of the operating table, a patient is lifted by several medical workers, and the medical workers do not need to push the bed body to the operating table. After being lifted, the bed body moves towards the interior of the bed frame through operation of the driving assembly, the body of the patient is suspended, finally, the patient can be placed on an operating table, the process of carrying the patient is omitted, and the operating efficiency of the patient is improved.

This invention provides a method and system for predicting diabetes by integrating knowledge graphs and deep learning. The method constructs an entity vector library of physical examination data, and obtains vector representations of patient physical examination data based on this library, resulting in physical examination data vectors. It then constructs a diabetes domain knowledge graph; based on this knowledge graph, it extracts entities and relationships from patient symptom descriptions and represents them as vectors, obtaining symptom description vectors, and thus a matrix representing the patient's condition; finally, it integrates a self-attention mechanism and a convolutional neural network to construct a classification prediction model, which yields the prediction results. Compared with existing methods, this invention, by simultaneously considering patient physical examination data and symptom descriptions and based on a dual-driven approach of knowledge and data, achieves higher accuracy and interpretability.

The invention discloses a systematized nursing analysis method for intraoperative pressure injury, and belongs to the technical field of medical information systems.The systematized nursing analysis method comprises the steps that patient operation process data, patient body information and patient pressure position condition data are obtained for pressure position abnormity prediction, and patient physical characteristic data are obtained for physical abnormity influence analysis; the method comprises the following steps: analyzing the influence of physical abnormality and the abnormal prediction result of the pressed position, performing injury analysis by combining the influence analysis of physical abnormality and the abnormal prediction result of the pressed position, performing injury early warning based on the injury analysis result, judging whether the pressed position needs to be protected, and performing comprehensive assessment analysis on the body position of a patient and the danger of the pressed position in the operation simulation process before an operation. Meanwhile, compressive damage analysis is conducted on the patient in the operation process by integrating the physique danger information of the patient, and the accuracy and early warning efficiency of compressive damage analysis are improved.

The invention discloses a customized treatment scheme recommendation method and system based on big data mining. The customized treatment scheme recommendation method comprises the following steps: collecting medical treatment data samples, and establishing a medical database; extracting sample feature keywords from the medical database; a customized treatment scheme model is trained according to the sample features and the test cases, and the model outputs a customized treatment scheme and gives a treatment effect prediction trend; and adjusting the customized treatment scheme according to the treatment effect prediction trend and the actual treatment trend. The medical treatment data sample is mined based on big data, and the customized treatment scheme is given according to the sample and the patient physical condition training model, so that the treatment effect is improved.

The invention relates to the technical field of data prediction, in particular to a big data-based moxibustion application scheme prediction method and system and a storage medium, which are used for acquiring body information of a patient, identifying basic body conditions of the patient based on body conditions of the patient, historical disease diagnosis reasons and past medical history, and predicting a moxibustion application scheme of the patient. On the basis, different predicted moxibustion application schemes are correspondingly matched in a moxibustion application scheme big database through the moxibustion application scheme big database established in advance, then the predicted moxibustion application schemes selected in advance are implemented in stages, the body information of the patient is obtained again before implementation of each stage, and the body information of the patient is determined according to changes of the body conditions of the patient. According to the method, whether the corresponding moxibustion application scheme is prepared again or not is selected, so that the predicted moxibustion application scheme suitable for the patient is dialectically found, the predicted moxibustion application scheme is effectively verified, and the treatment effect of moxibustion treatment is improved.

The embodiment of the invention relates to a patient physical condition assessment method, device and equipment and a storage medium. The method comprises the following steps: according to patient case data, carrying out experience dependence evaluation on the physical condition of a patient to obtain an experience evaluation result; performing rule dependence evaluation on the physical condition of the patient according to the patient medical record data to obtain a rule evaluation result; and under the condition that at least one of the experience assessment result and the rule assessment result comprises a severe assessment result, carrying out risk assessment feedback on the physical condition of the patient. According to the technical scheme, high-efficiency and high-reliability automatic patient physical power condition evaluation independent of manual work can be achieved.

An integrated chest and arm restraint strap comprises a chest binding strap, the lower portion of the chest binding strap is connected with an auxiliary binding strap, the outer side of the auxiliary binding strap is connected with an annular arm limiting strap, the auxiliary binding strap is additionally arranged, the auxiliary binding strap can bind the abdomen of the body of a patient by means of the auxiliary binding strap, and therefore an extra fulcrum is provided for the annular arm limiting strap; therefore, when a patient accidentally moves arms, the stress of the chest binding belt can be shared by the auxiliary binding belt, so that the part, close to a wound part, of the chest binding belt is prevented from being excessively pulled, and the wound part of the patient is prevented from being excessively hurt.

The invention relates to the technical field of rehabilitation robot control, and discloses a lower limb rehabilitation robot control method and system driven by gait data. The method comprises the following steps: acquiring a health and patient gait angle sequence; calculating an angle difference value and judging a rehabilitation stage label according to the time sequence change characteristics; inputting the rehabilitation stage label, the angle difference and the physical sign parameters of the patient into a full-connection neural network to output an interpolation coefficient, and generating a transition gait sequence between the patient and the health gait according to the interpolation coefficient; and converting into a motor control instruction for execution, and adjusting an interpolation coefficient according to the position error. According to the invention, the personalized adaptation capability and rehabilitation effect of rehabilitation training are improved.

The invention discloses an illness state nursing method based on patient body data, and relates to the technical field of medical nursing, and the method comprises the steps: obtaining the physiological data of a patient in real time through a body data collection device, and carrying out the preprocessing and feature extraction of the collected physiological data; evaluating the preprocessed physiological data of the patient by training a deep learning model, and carrying out illness state classification on obtained illness state results; based on the illness state assessment result and illness state classification, analyzing nursing requirements; and after a nursing demand is determined, a personalized nursing scheme is generated. By introducing the deep learning model, performing preprocessing and feature extraction on the acquired physiological data, and dynamically generating the personalized nursing scheme based on the illness state classification result, the illness state of the patient can be evaluated more accurately, and the nursing plan is adjusted in time according to real-time data change, so that the nursing accuracy and personalization are improved, and the nursing efficiency is improved. The obvious advantages are realized.

The utility model discloses a medical multifunctional ruler, which belongs to the technical field of surgical clinical props and comprises a ruler body, and a length scale, a light-proof medicine allowance scale, a pupil size contrast scale, a thirst scale and a pain scale are carved on the ruler body. Functional components of a plurality of small tools are integrated on one ruler, the effects of diagnosing, treating and monitoring surgical diseases and symptoms can be achieved through the ruler, a nurse can conveniently and rapidly prize a cover of a liquid bottle through the arranged bottle opener, and the liquid bottle is convenient to use. The body condition of a patient or the implementation state of medical props is detected and observed through the length scale, the light-proof medicine allowance scale, the pupil size contrast scale, the thirst scale and the pain scale which are carved on the ruler, various tools needed in clinical work of nurses are integrated through the functional ruler, and the functional ruler is short, light, convenient to carry and high in practicability. And convenience is provided for clinical work of nurses.

The utility model relates to a patient heating device for an operation, and relates to the field of patient heating devices. The device comprises an air cushion set and an air supply pipe set, the air cushion set is composed of a plurality of air bag units and a plurality of heat insulation belts, the air bag units and the heat insulation belts are connected in a spaced and distributed mode, the air supply pipe set comprises a hot air pipe and a plurality of flow dividing pipes communicated with the air bag units, and the flow dividing pipes are evenly arranged on one side of the hot air pipe. The flow dividing pipe is fixedly connected with the hot air pipe in a sealed mode, and an electric control valve is further installed on the flow dividing pipe. By arranging the air cushion set, a patient can lie stably and conveniently, the patient is supported to a certain degree, the situation that the skin is bruised is avoided, meanwhile, the air cushion set is externally connected with an air supply assembly for use through an air supply pipe set, the body of the patient is heated in a hot air charging mode, and therefore the patient can lie more conveniently. Therefore, the interference of the traditional heating wire heating on the development of the contrast agent can be avoided, and a good heating effect can be achieved.

The invention belongs to the field of medical image examination, and particularly discloses a medical image examination auxiliary device which comprises a stable bottom plate frame, a precise adjusting mechanism, an adaptive deformation bearing plate and a lying-prone type adjusting fixing device, the precise adjusting mechanism is arranged on the stable bottom plate frame, the adaptive deformation bearing plate is arranged on the precise adjusting mechanism, and the adaptive deformation bearing plate is arranged on the lying-prone type adjusting fixing device. And the lying-prone type adjusting and fixing device is arranged on the adaptive deformation bearing plate. According to the situation that an existing image examination device cannot adapt to body characteristics of all patients, liquid flowing soft adaptation and hard supporting after adaptation are adopted, all parts of the body are evenly pressed, the technical effect of perfect adaptation to the patients of all body types is achieved, and the problems that fixing is needed (the patients are prevented from shaking in the image examination process, and the examination result is affected) are solved. And the contradictory technical problem that the patient cannot be fixed (the comfort of the patient is influenced) is solved. And the position and angle of image examination can be flexibly adjusted.

The embodiment of the invention provides an intelligent comfort adjusting method, a controller, a system and a storage medium, and the method comprises the steps: obtaining the pressure information of a patient through a pressure sensing module; determining sleeping information of the patient according to the pressure information of the patient; acquiring pathological information of the patient; determining body comfort information of each part of the body of the patient according to the pathological information and the sleeping information; adjusting information of a supporting module on the sickbed is determined according to the body comfort degree information and preset comfort degree information; and adjusting the support module according to the adjustment information. According to the invention, the pressure data of each part of the body of the patient on the sickbed is automatically obtained, the body comfort information of each part of the body of the patient is determined, the adjustment information of the supporting module on the sickbed is determined, and the supporting module adjusts the corresponding supporting height so that the patient is in the preset comfort level, so that the comfort level of the sickbed can be automatically adjusted; and the patient can better recuperate.

The utility model discloses an auxiliary turnover device which comprises a bottom plate, a sliding rail is arranged at the top of the bottom plate, a sliding plate is connected to the sliding rail in a sliding mode, the sliding plate is connected with a first driving mechanism, a first supporting rod is detachably installed on one side of the sliding plate, a supporting column is vertically hinged to the top of the first supporting rod, and a fixing block is arranged at the top of the sliding plate. A rotating shaft is rotationally connected to the fixed block and fixedly connected with a supporting block through a connecting plate, two grooves are formed in the supporting block, a triangular push plate with an upward inclined face is arranged on the side, away from the fixed block, of the supporting block, a through rectangular sliding groove is formed in the sliding plate, and the triangular push plate extends into the bottom of the supporting block from a notch in the side, away from the fixed block, of the sliding groove. First push rods are fixedly connected to the ends, away from the supporting blocks, of the triangular push plates. According to the auxiliary turning-over device, turning over can be achieved through the synergistic effect of the back and the legs of a patient, the mode that the body of the patient is moved manually is replaced, and the work intensity of nursing staff is relieved.

The invention discloses a handheld bedridden patient 3D optical scanning weighing method and device. The method comprises the steps that three-dimensional point cloud data of the body surface of a patient are collected; performing preprocessing on the three-dimensional point cloud data; extracting geometric features of the three-dimensional point cloud data; partitioning based on geometric features of the three-dimensional point cloud data, and constructing a three-dimensional human body model of the patient; and predicting the three-dimensional human body model based on a pre-trained deep learning model to obtain the weight of the patient. Through the treatment scheme disclosed by the invention, the body weight of the patient can be simply and quickly measured under the condition of not interfering the patient.

The invention discloses a wearable femoral artery hemostasis compression device which comprises a waist belt, a compress belt and a pressure belt. The compress belt and the pressure belt are connected to the two sides of the waistband respectively. The compress belt adopts a three-layer composite design: the inner layer is an adhesive layer which is in direct contact with the skin, the middle layer provides support for the first base layer, and the outer layer is a hook-and-loop fastener bristle layer. The pressure belt is sequentially provided with a hook-and-loop fastener round hair layer, a second base layer and a hook-and-loop fastener hook hair layer from outside to inside, and pressure adjustment is achieved through crossed attachment of the two hook-and-loop fasteners. The device has the advantages that the overall stress is balanced, the device is completely suitable for the body contour of a patient, and stable three-time compression force is provided; the physical strength of a doctor can be well saved in an operation; in the body recovery process, secondary pressurization can be provided for a puncture point.

The invention discloses pelvic floor detection and rehabilitation equipment. The pelvic floor detection and rehabilitation equipment comprises a controller, a detection probe and a pressure sensor, a micro air pump is arranged in the controller; the detection probe comprises an annular airbag, a probe main body and an air tap; the probe main body is detachably connected in the annular cavity of the annular air bag, and a gap is formed between the outer peripheral surface and the annular inner wall; one end of the air nozzle is fixed at the upper end of the probe main body and communicated with the air cavity, and the other end is communicated with an air outlet of the micro air pump through a connecting air pipe; the multiple pressure sensors are fixed to the side, facing the air cavity, of the annular outer wall in a matrix mode. According to the device, the annular air bag is inflated to be comprehensively attached to a detection area, and pelvic floor muscle pressure detection is conducted through the multiple pressure sensors; due to the detachable mode of the annular air bag and the probe main body, when different patients are subjected to pelvic floor detection, only the annular air bag needs to be replaced, the detection probe does not need to be disinfected, bacterial residues caused by incomplete disinfection of the detection probe are avoided, and the body health of the patients is effectively guaranteed.

The present invention relates to a health management data processing method and system based on patient dynamic feedback, belonging to the field of health management. By downloading from the chain multiple patient physical sign change curves whose recorded disease states are consistent with the patient's disease states after blockchain certification and whose recorded health management plans are consistent with the health management plans, traversing the multiple curves to statistically calculate the ratio of the number of neighboring curves to the mean and setting it as multiple confidence densities, and extracting the physical sign change curve with the maximum confidence density; during health management intervention, statistically calculating the deviation vector between the change monitoring curve of the patient feedback information and the curve in the previous section of the change to correct the curve in the subsequent section of the change to obtain the corrected curve in the subsequent section of the change; when the deviation between the corrected curve in the subsequent section of the change and the physical sign change curve is greater than or equal to the expected deviation, feeding back the inadaptability identification of the health management plan execution to the health management terminal, which solves the technical problem of being difficult to accurately process health management data to generate a health management plan that conforms to individual characteristics.

The invention relates to the field of orthopedic rehabilitation, and discloses orthopedic rehabilitation equipment which comprises a fixed supporting frame, a bed board and a movable supporting frame, the bed board comprises an outer frame, and two overturning plates are arranged in the outer frame and used for supporting the left half part and the right half part of the body of a patient respectively; one end of each turnover plate is rotationally connected with the outer frame, and the other end of each turnover plate is detachably connected with the outer frame, so that the turnover plates and the outer frame are switched between fixed connection and rotary connection; a main driving piece is arranged on the movable supporting frame, and an output shaft of the main driving piece is connected with the bed board; in the overturning mode, the movable supporting frame moves to the bed tail to be aligned with one overturning plate, the overturning plate is located on the fixed side and is rotationally connected with the outer frame, the other overturning plate is located on the overturning side and is fixedly connected with the outer frame, the main driving piece is connected with the corresponding position of the outer frame, and the main driving piece drives the outer frame and the overturning plate on the overturning side to rotate together. Therefore, the patient is assisted to turn over.

The invention discloses the technical field of medical treatment, relates to the technical field of medical record forms, and particularly relates to a physical treatment record sheet for a rehabilitation medicine department and a matched use process thereof, which are used for standardizing and efficiently recording physical treatment process information of a patient. In the physical treatment work of the rehabilitation medicine department, information such as treatment items, time and treatment effect of a patient needs to be recorded in detail, so that a doctor tracks the treatment progress, evaluates the effect and adjusts a scheme. A traditional recording mode has the problems that information is dispersed, key content (such as accurate identification of a treatment part and contraindication associated records) is easy to omit, a signature confirmation process is not clear and the like, medical work efficiency and quality are affected, and long-term management and tracing of medical data are not facilitated. Therefore, a record list which is more reasonable in design and more complete in function is needed to optimize the recording work of the physical therapy.

A computer implemented system and method for determining and analysing ocular refractive error of an eye. The method determines a set of sample biometric factors for a reference sample of eyes from a set of reference sample physical characteristics. Physical characteristics of a patient's eye are measured such that the type of measured patient physical characteristics include some or all of the reference sample characteristic types. Patient biometric factors are then calculated based on the measured and inherent patient physical characteristics and compared with the sample biometric factors to determine the effect of one or more parameters on the ocular refractive error of an eye. The method may calculate the difference between the refractive contribution of the axial length, cornea and internal optics in the patient's eye and the separate contribution from those factors in the sample physical characteristics.

The invention discloses a hand-operated medical sickbed convenient to fold and store, and belongs to the technical field of medical sickbeds. A hand-operated medical sickbed convenient to fold and store comprises a sickbed body, two bed frames are correspondingly and fixedly installed on the inner side face of the sickbed body, the inner sides of one ends of the two bed frames are jointly and rotationally connected with a first rotating shaft, two gapped gears are coaxially and fixedly installed on the surface of the first rotating shaft, and arc-shaped top blocks are fixedly installed on the surfaces of the two gapped gears; the surfaces of the two bed frames are jointly and rotationally connected with a penetrating type second rotating shaft. Compared with a traditional adjusting sickbed, the hand-operated medical sickbed convenient to fold and store has the advantages that in the turnover process of the headboard of the sickbed body, the two supporting plates rotate in the opposite directions to support the foot sole of a patient, the body of the patient is prevented from sliding down, and medical staff or family members do not need to support the arms of the patient to move the body upwards in the later period; the sickbed body is more convenient and faster to use, and the problem that the body of a patient slides down when the backrest is adjusted is effectively solved.

The invention relates to a patient physical sign monitoring device and a monitoring method thereof, which can collect, process and transmit key physical sign data of a patient in real time, including electrocardiosignals, pulse signals, oxyhemoglobin saturation and body temperature signals. The device comprises a sensor unit, a data processing unit, a wireless communication module, a display and control unit, a battery management system and a remote monitoring platform. The sensor unit is used for collecting physical sign data in a high-precision mode, the data processing unit processes and analyzes the data through algorithms such as fast Fourier transform, peak detection and moving average filtering, and the accuracy and reliability of the data are ensured. The wireless communication module adopts an AES encryption algorithm to guarantee data transmission safety, the display and control unit provides real-time data visualization and alarm threshold setting functions, and the remote monitoring platform analyzes the health state of a patient through an intelligent algorithm and generates a health assessment report.