12 results about "Delirium" patented technology

The application discloses a kind of elderly hip fracture surgery perioperative adverse event real-time monitoring system and method, it is related to perioperative monitoring technical field.The method includes: real-time acquisition perioperative monitoring data, carries out data pre-processing, and extracts benchmark feature;Identify the decline segment of cerebral oxygen saturation below benchmark feature, jointly assess the decline amplitude and persistence, obtain the weak trend characterization of brain oxygen;Analysis of the relative change characteristics of serum inflammatory markers, form the weak trend characterization of inflammation;Assess the deviation degree of vital signs relative to benchmark, obtain the vital signs fluctuation characterization, and further judge the delirium precursor risk, output risk prompt;Visual display various weak trend characterizations and delirium precursor risk, link label risk trigger information and contribution source.The present application solves the technical problems that the prior art is difficult to extract and identify early weak abnormal trend in perioperative multi-source physiological signals.

The invention relates to an ICU patient delirium risk early screening system based on AI electrocardiogram analysis. The system comprises a neural signal extraction module, a component mode determination module, a delirium type identification module, a risk trajectory prediction module and a risk alarm generation module, wherein the neural signal extraction module extracts neuromodulation related signal fragments based on an electrocardiogram signal sequence and a preset neuromodulation specificity index; a component mode determination module extracts time sequence features from the fragments and determines an abnormal component distribution mode; the delirium type identification module is used for matching potential delirium types through the feature database; the risk trajectory prediction module predicts a risk trajectory in combination with a long-short-term memory network; a risk alert generation module evaluates a risk level and generates an alert. With the adoption of the system, early and dynamic screening of delirium risks can be realized, the screening accuracy and timeliness are improved through multi-module collaborative analysis, and accurate monitoring support is provided for ICU (Intensive Care Unit) patients.

This invention discloses a hand restraint system suitable for patients with delirium, comprising an outer sleeve shell, a protective layer, and a pressure control and monitoring system. The pressure control and monitoring system is disposed within the outer sleeve shell and is communicatively connected to a central monitoring system located at the nurses' station. This invention effectively combines the outer sleeve shell, the protective layer, and the pressure control and monitoring system to not only effectively fix the wrist of a delirium patient but also significantly improve the comfort of the fixation, making operation more convenient. Furthermore, it allows for real-time monitoring of the restraint force on the delirium patient's wrist. When abnormalities in the restraint force occur, medical staff can promptly detect and take appropriate action, greatly facilitating hand restraint procedures for delirium patients.

The invention discloses a delirium patient self-adaptive pressure adjusting and restraining glove and a using method thereof, and belongs to the technical field of medical auxiliary instruments, the delirium patient self-adaptive pressure adjusting and restraining glove comprises a glove body, the glove body is composed of a wrist part, a palm part and a finger part, the glove body is divided into an outer protective shell, a middle pressure sensing adjusting layer and an inner skin-friendly contact layer, the wrist part is provided with a detachable wrist self-locking fastening mechanism, and the wrist self-locking fastening mechanism restrains the glove body on the wrist of the patient. Aiming at the core problem that the delirium patient moves restlessly and is easy to pull out the catheter, through the design of a finger constraint structure, self-adaptive pressure adjustment and the like, the finger grasping action is accurately blocked, accidental pull-out of the diagnosis and treatment catheter is avoided, serious complications such as airway obstruction, bleeding and infection are reduced, the life risk of the patient is reduced, and the hospitalization time is shortened.

The application relates to the technical field of patient accompanying, and specifically provides an intelligent multi-dimensional management system for critical patients, which comprises an intelligent display terminal, an accompanying program is built in the intelligent display terminal, a fingertip controller, the accompanying program is controlled by the fingertip controller through acquisition of finger actions to select corresponding functions, wherein the fingertip controller comprises a direction control module, finger actions are acquired to control a cursor in the intelligent display terminal to move up, down, left and right along a screen, and a determination button module is used for acquiring actions of another finger to input confirmation and power-on / off instructions; the accompanying program in the intelligent display terminal enables the critical patient to make a video call with family members, watch videos and play small games, a rehabilitation mode with full participation of the family members is created to relieve the fear and anxiety of the critical patient, and thus problems such as anxiety, panic and delirium of the patient in an intensive care unit are prevented.

The invention provides a delirium risk assessment method and system, a terminal and a medium, and the method comprises the steps: firstly obtaining multi-dimensional clinical data of a critical skin disease patient, carrying out delirium influence feature importance sorting on the multi-dimensional clinical data to determine delirium influence key features, and then obtaining delirium risk assessment training data; then adopting the training data to adjust the CHAID decision tree model, and constructing to obtain a first delirium risk assessment model; optimizing a terminal node of the first delirium risk assessment model through a Bayesian network framework to obtain a second delirium risk assessment model; and finally, performing delirium prediction on the critical skin disease patient by adopting the second delirium risk assessment model, and outputting a delirium risk assessment result of the patient, so that association logic of key features and delirium can be presented, medical personnel can intuitively trace risk sources, the model interpretability is met, and the risk assessment efficiency is improved. And the risk classification result of the CHAID can be converted into an accurate delirium occurrence probability, so that the prediction accuracy is improved.

The invention relates to the technical field of clinical nursing decision making, and discloses an auxiliary decision making method and system for delirium nursing, and the method comprises the steps: obtaining delirium-related multi-dimensional data; normalizing the multi-dimensional data to obtain normalized data; performing feature mining and correlation analysis on the standardized data through a preset analysis model to obtain a feature correlation analysis result; generating a preliminary nursing decision suggestion through a feature correlation analysis result; carrying out adaptability verification on the preliminary nursing decision suggestion to obtain a verification result; and optimizing the nursing decision suggestions in combination with the verification result to obtain a final delirium nursing aid decision scheme. According to the method, a complete technical path of multi-source data standardization integration, feature association intelligent analysis, adaptability verification and closed-loop optimization is constructed, so that the core problem that an existing method is lack of multi-source data standardization integration, dynamic adaptation optimization and closed-loop mechanisms is solved; the delirium nursing decision is converted from single data support and static generation to full-dimensional data drive and dynamic adaptation.

The application discloses a nursing device for a critical delirium patient, and belongs to the technical field of medical nursing, which comprises a support plate for the patient to lie on, a fence plate, a fixed column, an extension rod, a first driving mechanism and a second driving mechanism; the side end of the fence plate and the side end of the support plate are slidably connected in the vertical direction; the extension rod is hollow and one end of the extension rod is fixed with the fixed column, and the other end of the extension rod is fixed with the lower end of the support plate; the first driving mechanism comprises a first transmission rod, a fixed seat, a first connecting rod, a buffer, a second connecting rod, a transmission plate, a first transmission wheel, a first sliding rail rod and a sliding rod. The device has the advantages of preventing the delirium patient from falling off the sickbed when the delirium patient has an attack and improving the comfort of the patient.

The invention discloses a closed-loop controlled intelligent sedation depth and delirium detector, and relates to the field of clinical assistance, the closed-loop controlled intelligent sedation depth and delirium detector comprises a head-mounted mechanism, the head-mounted mechanism comprises a cap body, and a semi-arc ring is arranged below the cap body; according to the intelligent sedation depth and delirium detector, the electrode plates are pre-arranged in the containing groove and then are led out in order through the signal line, traditional scattered pasting is avoided, and the wearing efficiency and the positioning consistency are improved; the supporting mechanism realizes rapid height adjustment and locking by virtue of a vertical rod, a limiting rod, a limiting hole and a reset spring, and a camera can be accurately mounted and firmly fixed without a tool in cooperation with a rapid clamping structure consisting of an arc-shaped clamp, a spring damper and a deflector rod and a horizontal fine adjustment capability provided by a magnetic block and an adaptive groove; the electrodes and the camera share the same head-mounted platform, and the spatial relationship of the electrodes and the camera is fixed, so that the relative position can be kept stable even if the patient slightly moves.

The invention relates to the technical field of patient restraint devices, and discloses a rapid unfolding type delirium patient cooperative restraint device which comprises a sickbed, shaft bodies connected to the two sides of the sickbed and first rotating seats rotationally connected to the two ends of the shaft bodies. An upper limb constraining unit and a lower limb constraining unit are further arranged; linkage rods are arranged between the upper limb binding units and the lower limb binding units, and detachable binding belts are connected between the upper limb binding units; according to the intelligent delirium restraint device, the upper limb restraint units are rapidly rotated to the arms of the patient, the lower limb restraint units are synchronously driven to rotate to the legs of the patient through the linkage rods, finally, the chest and abdomen of the patient are restrained through the restraint belts, the upper limb restraint units and the lower limb restraint units can be rapidly unfolded, timely response can be achieved, and the delirium patient can be restrained; and the binding work of the upper limb binding unit and the binding work of the lower limb binding unit can be coordinated through a linkage rod, and the overall binding effect is improved.

Disclosed is a method of determining a subject's susceptibility to by collecting a biological sample from the subject; determining the methylation status of at least one CpG sequence in the biological sample from the subject; and comparing the methylation status in the biological sample to an established threshold and determining whether or not the subject is likely to suffer delirium. In certain aspects, the at least one CpG sequence is located in a gene selected from TNF-alpha, BNDF, GDNF, LDLRAD4, DAPK1, and IRF8

This application discloses a method for generating a graded nursing pathway for elderly patients with fractures, comprising the following steps: S1, collecting nursing-related data of elderly patients with fractures, wherein the nursing-related data includes at least basic patient information and nursing assessment information; S2, based on the nursing-related data, calculating assessment values ​​for multiple nursing risk dimensions, wherein the multiple nursing risk dimensions include at least pain risk dimension, pressure injury risk dimension, fall risk dimension, and delirium risk dimension; S3, determining the patient's nursing level according to the assessment values ​​of the multiple nursing risk dimensions and a preset nursing level classification rule; S4, automatically generating an initial nursing pathway matching the patient based on the nursing level and the assessment values ​​of the multiple nursing risk dimensions, wherein the initial nursing pathway includes at least several nursing task nodes and the execution frequency of each nursing task node.