24 results about "Out patients" patented technology

The invention provides a control method and system for interaction between emergency simulation training and a real respirator, and the method comprises the steps: collecting control parameters of the respirator, and carrying out the preprocessing of the control parameters, and obtaining an equipment parameter vector; calculating a physiological response state based on the device parameter vector; the physiological response state comprises alveolar pressure and oxygenation estimation; based on the physiological response state, performing quantitative judgment on the disease stage of the patient to obtain a current disease stage, and executing a corresponding evolution instruction set; a medical specification operation reference table is constructed, a target interval is extracted from the current illness state stage and the evolution instruction set, the matching degree of the target interval and a reference interval is calculated, and the reference interval is extracted from the medical specification operation reference table; determining whether to continue evolution, enter relieving or mark training is completed based on the matching degree; the breathing gas of the patient is simulated and restored through the gas compressor and the gas mixing device and is conveyed to the real breathing machine.

The invention discloses a method for accelerating rehabilitation training based on compound movement after a colorectal cancer operation, and particularly relates to the technical field of rehabilitation after the colorectal cancer operation. The method comprises the following steps: S1, screening and grouping patients: selecting patients with colorectal cancer which are subjected to surgical treatment and voluntarily participate, screening out patients meeting specific conditions, and randomly dividing the patients into a movement intervention group and a conventional nursing group; and further randomly dividing the motion intervention group into a plurality of small groups, and respectively carrying out composite motion of different combinations. By combining aerobic exercise (gradually increasing walking distance after operation) with specific part exercise (ankle pump exercise and Kegel exercise), the first-time anus exhaust time of an exercise intervention group is advanced by 12.3 hours, the defecation time is shortened by 9.8 hours, the intestinal obstruction occurrence rate is reduced by 67%, meanwhile, the walking distance is increased by 25% in 6 minutes, gastrointestinal motility and body activity recovery are remarkably promoted, and the treatment effect is good. The effect of accelerating the recovery of the gastrointestinal function postoperative body function after the colorectal cancer operation is achieved.

A device (100) for positioning a patient (102) at the edge of a patient bed (106) is described, wherein the device (100) has means (108) for reversibly detachable attachment of the device (100) to a torso (110) and / or to limbs of the patient (102), wherein the device (100) extends at least partially around a torso circumference of the patient (102) and projects beyond the torso (110) of the patient (102) in a circumferential direction at least in a dorsal region of the patient (102) and / or in a dextral and / or sinistral torso region, in particular in the region of the abdominal wall muscles, in order to position the patient (102) in such a way as to prevent it from falling over.

The application provides an automatic emergency chest X-ray film triage system, comprising: an image screening module receiving a DICOM image of a patient, defining the DICOM image meeting a preset condition as a first image; a segmentation data acquisition module inputting the first image into a plurality of deep learning models for image segmentation, respectively obtaining corresponding segmentation data; each deep learning model is trained according to a chest anatomical site; a qualitative judgment module composed of a plurality of triage units, receiving the segmentation data, each triage unit determining the segmentation data matched therewith, outputting corresponding qualitative judgment data based on the segmentation data; and a structured report module automatically outputting final diagnosis data based on the qualitative judgment data. The application also discloses an automatic emergency chest X-ray film triage method. The application can screen out patients with potential risks as soon as the chest X-ray film is taken, mark abnormal areas, prompt doctors to make a diagnosis quickly, and treat the patients in time.

The invention discloses an acute necrotizing pancreatitis severe prediction model construction method based on a machine learning method. The acute necrotizing pancreatitis severe prediction model construction method comprises the following steps: S1, collecting patient data based on an inclusion standard and an exclusion standard; s2, data preprocessing and feature selection; s3, obtaining an optimal differential diagnosis prediction model in combination with radiomics characteristics and a plurality of machine learning algorithms; s4, obtaining an evaluation index through prediction performance comparison; and S5, constructing a pancreas model, a pancreas surrounding model and a combination model, and producing an ROC curve interpretation result. The present invention develops and verifies a machine learning model for distinguishing between severe and moderate ANPs (i.e., ANSP and ANMSP). These models will be based on radiomics features extracted from pancreatic parenchyma portal vein phase CECT images, peripancreatic necrotic lesions, and combinations thereof. By evaluating the diagnostic performance of the models, early recognition of disease severity is realized, and support is provided for clinical decisions related to treatment.

The invention relates to an EICU transfer-out patient staging rehabilitation evaluation system, which performs trend analysis on continuous physiological parameters when a patient is transferred out of an EICU, judges whether the patient really enters a rehabilitation feasible window by identifying a dynamic stable interval of an index, and dynamically adjusts a staging evaluation starting point based on a recovery trend drift rule. The misjudgment risk of a false positive stable state is eliminated; dividing the functional state of the patient into a plurality of functional clusters, and dynamically judging whether the plurality of clusters are converted from an intervention dependence state to an autonomous maintenance state or not; recording a recovery rate gain generated by each type of intervention measures to the target function cluster, and reversely correcting a current stage division result when monitoring an intervention effect decreasing or reversing trend, so as to form a dynamic closed-loop logic among intervention, response and stages; high-frequency small-amplitude abnormal changes in the low-intensity fluctuation physiological signals of the patient are detected, and the latent rehabilitation decline trend is recognized by setting the relation between a continuous fluctuation threshold value and response stability changes after intervention.

The present invention belongs to the field of biomedicine and specifically relates to a 5hmC molecular marker for predicting treatment sensitivity for sudden deafness. The present invention provides a 5hmC molecular marker for predicting treatment sensitivity for sudden deafness, comprising genes encoding the proteins CDK5R1, TAF6L, MFSD9, CDH7, PLCH1, MARCHF7, MCAT, MFNG, ATP9B, EGF, and EPHX2. The 5hmC molecular marker provided by the present invention can effectively predict treatment sensitivity for sudden deafness, with an AUC as high as 0.994. Using this molecular marker, treatment outcomes can be predicted before treatment, screening out patients with poor or ineffective treatment outcomes, allowing for preemptive comprehensive treatment and improving patient prognosis.

The invention discloses a health data modeling analysis method and system based on AI assistance, relates to the field of medical treatment, and solves the problem that an existing health data modeling analysis method is poor in analysis effect, and the method comprises the steps: S1, obtaining medical examination items accepted by a target analysis patient in a patient illness state collection period, s2, acquiring a plurality of patients to be matched with a model through the patient condition acquisition data, respectively acquiring medical examination result matching degrees between the patients to be matched with the model and the target analysis patient, screening out patients with consistent diseases, and acquiring a medical examination result matching result of the patients to be matched with the model and the target analysis patient according to the medical examination result matching degree; and S3, performing real-time health state analysis on the target analysis patient according to the model patient matching data, and issuing health early warning according to an analysis result, so that the pertinence and accuracy of the health data modeling analysis method can be improved.

This utility model discloses a bedridden patient position sensing device, relating to the field of medical care technology. It includes: a mattress with upward bulges on both sides near the bed edge; a frame surrounding the bottom of the mattress; sensors evenly distributed on the mattress, with the sensor located at the bed edge below the bulges and above the frame, and slidably mounted; and a rocker arm rotatably mounted on the frame, with the rotation point located between the two ends of the rocker arm. When the patient moves to the bed edge and is about to fall, the rocker arm rotates, and a pressure plate presses one end of the rocker arm, causing the other end to tilt upward. Simultaneously, the sensor moves upward, allowing the rocker arm to quickly approach the sensor. Only a small force is needed to trigger the sensor, shortening the sensing distance between the rocker arm and the sensor, enabling rapid detection of whether the patient is about to fall off the bed, thus better ensuring the patient's safety.

The utility model relates to the technical field of colonoscopy nursing, in particular to a nursing device for colonoscopy, which comprises a bottom pad sheet, an arc-shaped groove arranged on the upper surface of the bottom pad sheet close to the left side, a water absorption pad arranged in the arc-shaped groove, a body position layer arranged on the upper surface of the bottom pad sheet close to the corner of the right upper end, and an isolation screen arranged in the middle of the upper surface of the bottom pad sheet. A blind pad towel is arranged at the right end of the isolation screen, a circular groove is formed in the front end face of the isolation screen, and a collecting bag is arranged in the circular groove; according to the nursing device for colonoscopy, the isolation screen with a blind pad towel is arranged to be matched with the bottom pad sheet, the isolation screen is bonded and combined with one side of the bottom pad end through a fixing belt, double layers are used for protection matching of private parts of a patient, a water absorption pad is installed to adsorb liquid dung sprayed out during patient examination, and the pollution influence on the examination environment is reduced; under the cooperation of the collecting bag, the colonoscope penetrates through the round hole and penetrates out of the collecting opening, the collecting opening is aligned with the anus of a patient, sprayed liquid dung can be collected easily, and the influence on environmental pollution is reduced.

The invention provides a detection device and a detection method. The detection device comprises a fixing part, a detection assembly, a control module and a timing module, and the detection assembly can press a to-be-detected part of a patient according to preset pressure and preset time to form a recess; meanwhile, the control module cooperates with the timing module and the detection assembly to obtain data of the recess recovery speed of the to-be-detected part of the patient. Therefore, the detection device provided by the embodiment of the invention can execute the same pressing force and pressing time in each detection process of each patient so as to ensure the accuracy of a detection result; the detection device provided by the embodiment of the invention can also obtain the data of the recess recovery speed of the to-be-detected part of the patient, so that the medical personnel can evaluate the edema degree of the patient.

The application relates to the field of medical imaging technology and discloses a method for automatically selecting a scanning protocol and correcting scanning parameters in CT examination, which comprises the following steps: step 1, a paper examination application form is photographed, and a patient ID, an examination item and a submission reason are recognized according to the photographed paper examination application form; step 2, a scanning protocol is matched according to the examination item as a current scanning protocol; step 3, a previous examination of the patient is found from an image archiving and communication system, and scanning parameters of the previous examination are acquired; step 4, scanning parameters of the current scanning protocol are weighted and estimated according to the scanning parameters of the previous examination, and the scanning parameters of the current scanning protocol are updated according to the weighted and estimated scanning parameters; and step 5, a patient is subjected to CT scanning according to the updated scanning parameters of the current scanning protocol. By using the application scheme, the working strength and complexity of technicians can be reduced, and the overall efficiency and quality of CT examination can be improved.

The invention relates to the field of hospital information management, in particular to a hospital information management method and device, equipment and a storage medium. The method comprises the following steps: collecting user registration information based on an online platform to obtain a structured registration label; extracting a first offline registration queue based on an offline hospital system; carrying out patient waiting time calculation on the first offline registration queue, and constructing a real-time waiting time axis; merging the structured registration tag into the first offline registration queue to generate a second offline registration queue; calculating waiting time according to the second offline registration queue, and generating predicted waiting duration of the online user; and based on the structured registration labels, performing recommendation analysis on the doctors of the same type and calculation of waiting duration of the doctors one by one, and generating waiting duration of a plurality of recommended doctors. According to the invention, the doctor-seeing experience of the user and the hospital resource utilization efficiency are improved, the waiting time of the patient is reduced, and queuing management is improved.

The application discloses a multifunctional bed nursing shifting device, and belongs to the technical field of health care assistive devices, which comprises a frame, can assist the bedridden patient in turning over, reduces the burden of nursing staff, reduces the risk of secondary injury caused by improper turning over, adjusts the position of the auxiliary straight plate to be flush with the bed edge, prevents the patient from falling off the bed, facilitates the removal of the patient from the bed, realizes semi-automatic operation through mechanical assistance, significantly reduces the physical consumption and operation difficulty of the nursing staff, helps to improve the overall nursing quality and efficiency, and through the cooperation of the supporting unit, the linkage unit and the position adjusting unit, can be flexibly converted between the wheelchair mode and the turning over assisting mode, each supporting plate can be horizontally unfolded to form a turning over assisting straight plate, or can be folded and combined into a wheelchair seat, greatly improving the applicability and space utilization efficiency of the equipment, and adapting to different use scenarios.

The invention relates to the technical field of medical images, and discloses a method for automatically selecting a scanning protocol and correcting scanning parameters in CT (Computed Tomography) examination, which comprises the following steps of: 1, shooting a paper examination application form, and identifying a patient ID (Identity), an examination item and an examination reason according to the shot paper examination application form; step 2, matching a scanning protocol as a current scanning protocol according to the inspection item; step 3, finding past examinations of the patient from the image filing and communication system, and obtaining scanning parameters of the past examinations; step 4, performing weighted estimation on the scanning parameters of the current scanning protocol according to the scanning parameters checked previously, and updating the scanning parameters of the current scanning protocol according to the scanning parameters subjected to weighted estimation; and 5, performing CT scanning on the patient according to the updated scanning parameters of the current scanning protocol. By means of the scheme, the working intensity and complexity of technicians can be reduced, and the overall efficiency and quality of CT examination are improved.

The invention provides a service robot inspection system for hospital night on-duty, relates to the field of safety inspection of patient wards, and aims to solve the problem that nurse resources are wasted due to the fact that nurses and nurses which are insufficient in hospital on-duty personnel, prone to fatigue and high in specialty apply time to transactional and repetitive work in the on-duty period. The hospital night on-duty service robot inspection system is specially designed according to the situation that the patient ward safety problem frequently occurs, so that medical staff can be assisted by a medical care on-duty service robot to regularly inspect the ward and patient safety, and the abnormal or emergency situation of the patient can be intelligently recognized; according to the method, the dangerous states or hidden dangers of the floors of the hospital are identified and pre-warned, and related persons in charge are timely notified to respond, so that on one hand, medical staff are liberated from conventional, simple and repetitive work, on the other hand, the human care of the hospital to patients and family members is enhanced, and the medical care quality is improved.

The utility model relates to the technical field of fetching bags, in particular to a medical exhaust type fetching bag which comprises an outer sleeve, one end of the outer sleeve is fixedly connected with a collection assisting device, the end, away from the collection assisting device, of the outer sleeve is fixedly connected with a handle, a fetching clamp is inserted into the outer sleeve, and the fetching clamp is connected with the handle. A handle is fixedly connected to one end of the taking-out clamp, a bag body is inserted into the outer sleeve, a pull rope is fixedly connected to one end of the bag body, a pull ring is fixedly connected to the end, away from the bag body, of the pull rope, four exhaust holes are formed in the surface of the bag body, the number of the exhaust holes is four, and the four exhaust holes are arranged in a mirror image mode. A kidney-shaped hole is formed in the surface of the bag body, and one end of the taking-out clamp is inserted into the kidney-shaped hole. The two exhaust holes are formed in the two sides of the lower edge of the bag opening of the fetching bag, air in the bag body can be fully exhausted, the fetching bag can be taken out of the body of a patient with the minimum size as much as possible, and therefore the operation pressure of a doctor is reduced.

The utility model discloses a portable pressure injury risk assessment device which comprises a shell, a connecting hole is formed in the surface of the shell, an assessment mechanism is inserted into the connecting hole, and the assessment mechanism comprises a connecting rod, a display panel, an indicating gear, a fastening nut, a damping rotating shaft A and a damping rotating shaft B. According to the portable pressure injury risk assessment device, through arrangement of the assessment mechanism and the scoring area, when a patient is assessed, a damping rotating shaft B rotationally connected with the surface of a connecting rod is rotated according to a corresponding numerical value of the patient in the scoring area, and the damping rotating shaft B can drive six assessment areas to rotate on the connecting rod; the device is limited and fixed through the six damping rotating shafts A which are arranged on the surface of the connecting rod and are matched with the damping rotating shafts B, the evaluation process can be completed by finding the numerical value of a patient in the scoring area in the evaluation area, compared with a traditional mode that limiting is conducted through friction force, generated abrasion is smaller, and the service life of the device is prolonged.

The invention relates to the technical field of medical data processing based on an intelligent chip, in particular to an upper gastrointestinal hemorrhage prediction method combined with past medical history analysis of a patient. According to the method, the previous medical history similarity of a to-be-analyzed patient and a historical patient is determined according to the correlation degree of medical history characteristics between the to-be-analyzed patient and the historical patient and upper gastrointestinal hemorrhage; analyzing deviation conditions of different upper digestive tract condition characteristics of the to-be-analyzed patient and the historical patient, and determining the similarity of the upper digestive tract condition of the to-be-analyzed patient and the historical patient; and determining the disease condition matching degree of the to-be-analyzed patient and the historical patient in combination with the past medical history similarity, the upper digestive tract disease condition similarity and the disease condition repetition frequency of the to-be-analyzed patient and the historical patient, screening out a feature convergence patient corresponding to the to-be-analyzed patient, and taking the upper digestive tract disease condition features of the feature convergence patient as prediction data of the to-be-analyzed patient. According to the method, the accuracy of data prediction is improved by analyzing factor characteristics in different aspects.

The utility model discloses an operating room restraint strap which comprises a glove, the glove comprises a hand back part and a wrist part, one end of the hand back part is connected with the wrist part, the top of the wrist part is connected with two fixing straps, the two fixing straps are connected through hook-and-loop fasteners, and the bottom of the wrist part is connected with two bandages. The palm part and the finger parts of the glove are in a split type, the finger parts can be independently opened to expose the hand back and fingers of a patient, medical staff can conveniently operate the hand of the patient during an operation, the cavity of the hand back part and the through hole of the wrist part are added, and when the hand back of the patient is subjected to acupuncture, the hand back is not prone to falling off. The hard paperboards can be stuffed into the hand back part and the wrist part through the through holes and the cavities, the supporting force is increased, the grip and the massage balls are added, when a patient holds the grip, the effect of increasing the sense of safety can be achieved, the anxiety state of the patient is relieved, and when the grip is held, the massage balls can massage the acupuncture points of the palm of the patient, and the anxiety state of the patient is further relieved.

The invention discloses a uterine fallopian tube dynamic three-dimensional ultrasound contrast training method and system, and the method comprises the steps: carrying out the intelligent analysis of data through an artificial intelligence algorithm according to the clinical data and historical diseases of a patient, screening out a patient group with specific pathological features, and generating a corresponding training case library; according to the training case library, performing dynamic simulation on the anatomical structures of the uterus and the fallopian tube by applying a three-dimensional modeling technology based on a virtual reality technology; the dynamic ultrasonic image and the deep learning algorithm are combined, the ultrasonic operation technique and image quality of trainees are analyzed in real time, a training feedback report is automatically generated, operation steps needing to be improved and corresponding technical key points are pointed out, and corresponding technical guidance is provided. According to the embodiment of the invention, high efficiency, systematicness and intelligence of ultrasonic training can be realized, and powerful support is provided for improving the skill level of medical image professionals.

The present invention provides a non-contact respiratory rate monitoring method, system, and device, relating to the fields of computer vision and image processing. The method comprises: collecting lossless video information and physiological signals of ICU patients; using a ROI marking module to mark the chest region in the lossless video information; using a ROI tracking module to track the chest region of the ICU patient; training a spatiotemporal feature learning module based on the physiological signals; using the trained spatiotemporal feature learning module to generate a respiratory curve based on the ROI region video image of the chest region; and outputting the ICU patient's respiratory rate based on the respiratory curve; the spatiotemporal feature learning module includes a respiratory curve extractor and a respiratory rate estimator; both the respiratory curve extractor and the respiratory rate estimator are deep neural network models. The present invention can predict the respiratory rate of ICU patients in real medical scenarios.

The invention discloses an intestinal postoperative stoma nursing device with a cleaning structure, and relates to the field of medical nursing equipment for colorectal surgery. The device comprises a cleaning cylinder, a flushing mechanism, a nursing mechanism and a water receiving mechanism. A controller is arranged on the right side of the cleaning cylinder; the flushing mechanism realizes multi-angle and large-range flushing of a nozzle through components such as an annular guide block, a connecting ring and the like in combination with driving of an air cylinder and a motor; the nursing mechanism pushes a moving frame through a second air cylinder, a second motor is matched with a synchronous belt wheel to drive a nursing barrel to rotate, and stoma nursing is completed through a filling block; the water receiving mechanism collects waste liquid through a connecting cylinder, a water collecting box and the like. Due to the fact that the colostomy slightly protrudes out of the surface of the skin of a patient, the colostomy can be flushed at different angles through the turnover spray head in order to prevent flushing dead angles, and the effect of comprehensively flushing the colostomy is achieved. All the mechanisms cooperate, the stoma nursing efficiency and safety are improved, and the device is suitable for the stoma nursing scene after the intestinal tract operation.

The invention relates to the field of urology department postoperative rehabilitation, and discloses a urology department postoperative auxiliary device which comprises a fixing frame and at least one movable support, a bed plate is supported on the fixing frame and comprises a rotating frame, at least one lower turning plate is rotationally connected into the rotating frame, and a main driving part is arranged on the movable support; the movable bracket comprises a getting-up mode and a turning-down mode; in the getting-up mode, the movable support moves to the long edge of the rotating frame, the main driving piece is connected with the long edge of the rotating frame and used for driving the rotating frame to rotate in the length direction, and the body of the patient stands to get out of the bed. In the downward turning mode, the movable support moves to the short edge of the rotating frame, and the main driving piece penetrates through the short edge of the rotating frame to be connected with the downward turning plate and used for driving the downward turning plate to turn downwards so that the lower hip of the patient can be exposed.