37 results about "Patient fall" patented technology

The invention provides a patient falling protection robot system based on flexible buffering. According to the method, an environment sensing module, a central processing module, a high-speed moving chassis and a flexible buffering module are included; the environment sensing module is used for sensing user posture information and surrounding environment information; the central processing module is used for processing the posture information of the user and the surrounding environment information and predicting a falling track and a falling position of the user; the high-speed mobile chassis is connected with the flexible buffer module, and the flexible buffer module is moved to a corresponding position based on the predicted tumble track and tumble position of the user; the flexible buffer module is used for performing fall protection on the user; a flexible buffering mechanism is adopted, secondary injuries such as hurting injuries and collision injuries possibly caused by rigid supporting are avoided, and the safety requirement of a human body is better met.

The invention discloses a patient falling detection method, device and equipment based on multi-algorithm fusion. The method comprises the following steps: acquiring motion data of a patient through a wearable inertial sensor; preprocessing the motion data of the patient to obtain standardized motion data of the patient; performing feature value extraction on the standardized patient movement data to obtain statistical feature data and time sequence feature data; processing the statistical feature data through a first machine learning model to obtain a static feature probability value; processing the time sequence feature data through a second machine learning model to obtain a dynamic feature probability value; performing weighted fusion on the static feature probability value and the dynamic feature probability value to obtain a weighted fusion probability value; and determining a patient falling detection result according to the weighted fusion probability value. According to the scheme, rapid sensing, real-time detection and timely response of the falling event are achieved, it is ensured that a patient can be rapidly rescued when falling occurs, and the overall medical monitoring level is improved.

The invention provides a tracheal catheter fixing and patient falling prevention linkage nursing device. The device comprises a tracheal catheter fixing module, a falling prevention detection module, an alarm intervention module and an interaction management module. The tracheal catheter fixing module is used for ensuring that the tracheal catheter does not slip or shift in the body position change or nursing process of a patient; the anti-falling detection module is used for monitoring the body position change of a patient on the nursing bed in real time; the alarm intervention module is used for giving an alarm to medical staff when potential dangers are monitored; the interaction management module is used for optimizing a risk reminding strategy in combination with medical care feedback of the device in the use process; by means of the linkage mechanism of catheter fixing and body position monitoring, accurate recognition and intelligent early warning of tracheal catheter slipping and the risk that a patient falls off a bed are achieved, and the safety and the active intervention capacity of clinical nursing are remarkably improved.

The utility model discloses a thoracocentesis auxiliary device for opening intercostal space, and belongs to the technical field of puncture position restraint. According to the thoracocentesis auxiliary device capable of opening the intercostal space, the three independent air bags are arranged, and the supporting depths of the three air bags are adjustable, so that the thoracocentesis auxiliary device capable of opening the intercostal space can be adaptively adjusted when different patients are supported; different supporting depths can be adjusted according to the body size of a patient, effective supporting of the chest and the abdomen of the patient is achieved, it is guaranteed that the patient is in a comfortable state in the puncture process, meanwhile, the intercostal space of the patient can be further opened through supporting, the medical thoracic cavity standard puncture dorsal arch body position is met, and puncture safety is guaranteed; the problems that an existing puncture auxiliary device is poor in fitness, the dorsal arch body position is not standard, intercostal blood vessels and nerves are prone to being damaged, and a patient falls down after pleural reaction, and secondary injuries are caused are solved.

The invention discloses a patient falling-off prevention intelligent early warning nursing device which comprises a bed body, fixed rods are fixed to the left end and the right end of the bed body, movable plates are connected to the outer walls of the fixed rods in a sleeving mode, handles are connected to the interiors of the movable plates in a sleeving mode, and the handles control threaded cylinders fixed to the upper ends to rotate. Meanwhile, the threaded cylinders are located on the inner sides of the movable plates, the protective fences are installed on the two sides of the bed body through the insertion holes in the upper ends of the movable plates and the threaded cylinders, and when a patient turns over greatly in the rest process, the protective fences are pushed to move, so that the patient can turn over to a certain extent; the movable plate at the lower end of the protective fence moves along the fixed rod, the protective fence continuously moves, finally, the protruding block touches an emitter button, a receiver is triggered to buzz, a nurse can arrive at the site in time, a patient is adjusted to a safe and comfortable sleeping posture, and the risk of falling off the bed is avoided.

This application provides a bed rail extender, relating to the field of bed safety technology. It includes an extended protective section, installed at the gap between the foot of the bed and the bed rail to prevent falls. The extended protective section includes a bottom support rod and a top support rod located above the bottom support rod. A first fixing seat is installed on one side of the bottom of the top support rod. A first protective rod is hinged between the first fixing seat and the bottom support rod, and several second protective rods are hinged between the top support rod and the bottom support rod. This application, through the designed extended protective section installed at the gap between the foot of the bed and the bed rail, increases the protective area of ​​the bed rail, reducing the risk of patients falling out of bed. It provides more comprehensive safety protection, especially for infants, patients with poor mental state, and patients with limited mobility.

A patient request system includes a tablet computer that configured for entry of patient requests. The tablet computer is configured to display a first menu corresponding to basic request categories for a patient. The tablet computer is configured to display a second menu that corresponds to specific patient requests falling under the basic request category selected by the patient using the first menu. A server is configured to receive a specific patient request made by the patient. A notification device is configured to display the specific patient request to a caregiver. A patient request method is also disclosed.

Described herein is the design and implementation of an instrumented user device to produce quantitative metrics of patient fall risk. In some embodiments, a regression algorithm is used to estimate postural sway velocity, which is an effective predictor of fall risk. The instrumented user device enables continuous patient monitoring outside of the clinic and could provide a long-term, quantitative measure of fall risk.

This utility model relates to the field of hospital gowns, and particularly to a hospital gown with a traction function, comprising a top and trousers. The top and bottom ends of the top and trousers are equipped with traction components, and the sleeves of the top and the legs of the trousers are equipped with exercise components. Each traction component includes a traction strap sewn onto one side of the outer wall of the top and bottom ends of the top and trousers, a connecting hole on the other end of the traction strap, and a connecting buckle sewn onto the connecting hole of the top and trousers. This utility model allows patients to perform leg raises and chest expansion exercises using elastic bands one and two, facilitating rehabilitation exercises for the limbs and enabling individual arm or leg exercises as needed. In the event of a patient falling, medical staff can apply upward force using the traction straps on the top and trousers, facilitating the movement and transporting the patient to the bed.

The invention provides an intelligent early warning and protection method and system for falling of an inpatient based on multi-modal data fusion. According to the method, individual risk data, behavior posture data and equipment state data of an inpatient are collected, a tumble risk index of the patient is calculated from the three aspects of potential risk, behavior risk and environmental risk by using a tumble risk prediction model, the tumble risk level of the patient is comprehensively evaluated, and then corresponding protection measures are taken. Specifically, each risk factor is quantified through a weight coefficient and a risk mapping function, and finally, an S-type normalization function is utilized to obtain a comprehensive risk index, so that accurate and personalized early warning is realized. The system comprises a sensing layer, a data processing layer, an intelligent analysis layer and an intervention execution layer, and can realize full-process automation and intellectualization. According to the invention, the problems of inaccurate evaluation, incapability of personalized early warning, lack of active intervention and the like in the prior art are effectively solved, and the occurrence rate of tumble of the inpatient is remarkably reduced.

The present application relates to the technical field of medical health data analysis, in particular to a high-risk patient fall abnormal behavior early warning system based on multi-modal data fusion. The present application obtains a plurality of gait cycles constituted by time frames according to ankle coordinate distribution of time frames for any patient; obtains gait high risk of each gait cycle according to ankle coordinate distribution of time frames in each gait cycle; obtains center of gravity offset degree of each gait cycle according to hip coordinate distribution of time frames in each gait cycle, and obtains high-risk center of gravity offset benchmark of all patients in each gait cycle; obtains fall probability in each sliding window according to center of gravity offset degree, high-risk center of gravity offset benchmark of different gait cycles and a plurality of physiological parameter data of different time for any patient; and early warns fall abnormal behavior. The present application improves the accuracy of fall abnormal behavior early warning by accurately analyzing fall probability of high-risk patients.

A patient tumbling alarm device relates to the technical field of patient tumbling alarm and comprises an upper shell and a lower shell which are distributed up and down, a buzzer used for giving out sound alarm is arranged in the upper shell, and an MCU chip is arranged at the bottom of the buzzer; a heavy ball is arranged at the bottom end in the lower shell, channel assemblies used for limiting the moving path of the heavy ball are arranged in the upper shell and the lower shell, the interior of the upper shell and the interior of the lower shell are divided into four channels through the channel assemblies, and a push plate assembly and a touch switch are arranged at the top end of each channel. The heavy ball impacts the push plate assembly to make contact with the light touch switch after the patient falls down, the light touch switch sends information to a nurse station or an accompanying person through the MCU chip, and the buzzer is controlled to make a sound to give an alarm. The heavy ball can push the circular push plate to be in contact with the touch switch only when a patient falls down, the purpose that an alarm is given only when the patient falls down is achieved, the problem of false alarm of a traditional alarm device is solved, and the alarm accuracy is improved.

The invention discloses an intelligent sickbed capable of recognizing the sleeping state of a patient, which comprises a bedstead, a bed board, an electric cylinder and a pressure sensor, detection legs are mounted on the lower surface of the bedstead, the detection legs detect whether the patient falls into the bed or not through the bedstead, the bed board is placed in the bedstead, the bed board is of a hollow structure, a massage cushion is mounted in the bed board, and an air pump is mounted below the bedstead. The electric cylinders are installed on the lower surface of the bed frame, the ejector rods are installed at the upper ends of the electric cylinders, the pressure sensors are installed on the bed frame, and the pressure sensors are located below the bed board; the jacking rods are pushed upwards through the electric cylinders and push the bed plates on the two sides to incline, a patient lies on the inclined bed plates, the patient can be assisted to turn over conveniently without assistance of medical staff, pressure sores of the patient can be avoided, when the patient falls off the bed, the value measured by the weighing device is reduced, and whether the patient falls off the bed or not is detected stably and rapidly through the weighing device. The pressure sensor detects the lying posture of the patient and prevents the posture from changing.

The utility model discloses a medical neurosurgery drainage tube fixing and nursing device, and relates to the technical field of neurosurgery. The nursing bed comprises two angle irons distributed on the two sides of a sickbed, the tops of the two angle irons are fixedly connected with a first fixing frame and a second fixing frame respectively, one side of the second fixing frame is fixedly connected with an insertion plate, and the insertion plate is connected with the first fixing frame in an inserted mode. A slide way is formed in the top of the second fixing frame, a through sliding block is slidably connected into the slide way, a limiting frame for supporting the back of the patient is fixedly connected to the bottom of the sliding block, and a space for a drainage tube to pass through is formed in the middle of the limiting frame. In the using process of the device, the function of supporting the back of a patient can be achieved, the situation that the patient turns over to press the drainage tube when the patient falls asleep is avoided, meanwhile, the drainage tube can be squeezed through the jackscrew, then the flow speed of the drainage tube is changed, using flexibility is improved, and using is convenient.

The application belongs to the technical field of intelligent sensors, and relates to a loss-preventing bracelet patient falling risk early warning system based on an intelligent sensor. The intelligent sensor is internally integrated with an ultra-wideband positioning module and an inertial measurement unit. The original signals collected by the inertial measurement unit are input into a double-path band-pass filter after fast Fourier transform. The first band-pass filter extracts signals in a frequency band of 0.5 Hz to 3 Hz, and the bracelet space position is calculated in combination with the ultra-wideband absolute coordinate; the second band-pass filter extracts signals in a frequency band of 3 Hz to 10 Hz, and the phase coherence feature of a gait cycle is extracted by inputting a sliding window autocorrelation function calculation module. The measurement signals are physically divided in the frequency domain, the parallel coupling dependence of positioning and motion analysis on complete original signals is eliminated, the superposition of spatial drift errors and high-frequency interference is eliminated, and false alarms caused by normal fast motion close to the boundary are avoided.

Automatically evaluating a level of mobility of a patient using a machine-learning model and load sensors integrated into a patient support system. A machine-learning model implemented on a computing system analyzes the load sensor data to determine whether the patient has difficulty standing up. This automated analysis can replace existing mobility assessments that were previously performed by caregivers. The mobility assessment data generated by the computing system can be recorded in the patient's electronic medical record (EMR) and utilized as a factor in determining patient fall risk.

The invention relates to the technical field of training devices, and particularly discloses a heart rehabilitation training device which comprises a trainer body, and a supine plate is arranged above the trainer body; the breathing mask is positioned above the supine plate; the protection mechanism is located below the supine board; the triggering mechanism is located above the breathing mask, the triggering mechanism can trigger the protection mechanism to protect the patient by pulling the breathing mask when the patient falls down in advance, and when the patient has symptoms such as dizziness and dyspnea, the patient topples over to trigger the protection mechanism through the triggering mechanism to protect the patient; when a patient topples over, the patient pulls the monitoring air pipe through the breathing mask, the protection mechanism is triggered through the triggering mechanism above the monitoring air pipe, the protection mechanism can protect the patient on the supine plate, the patient is prevented from falling off from the position above the supine plate, secondary damage to the patient and aggravation of the illness state are avoided, and use is quite safe.

The utility model belongs to the technical field of medical nursing, and particularly relates to a neurology patient falling-off prevention nursing auxiliary device which comprises two triangular turning-over pillows, cloth bodies are arranged at the bottoms of the two turning-over pillows, adjusting structures are installed in the turning-over pillows, and the adjusting structures are used for adjusting the angles of the turning-over pillows. The adjusting structure comprises a first fixing piece arranged at the bottom of the inner wall of the turning-over pillow and a second fixing piece arranged at the top of the inner wall of the turning-over pillow, a push rod motor is fixed to the top of the first fixing piece, a sliding block is vertically and upwards fixed to a stroke rod of the push rod motor, and a sliding groove is formed in the bottom of the second fixing piece and located on the outer side of the sliding block. First hook-and-loop fasteners are fixed to the upper portions and the lower portions of the ends, away from each other, of the two turning-over pillows. The nursing bed for the neurology department not only can effectively prevent a patient in the neurology department from falling off the bed, but also can assist the patient in adjusting the lying angle and assisting the patient in turning over, thereby improving the comfort of the patient and the nursing efficiency.

The utility model belongs to the field of movable supports, particularly relates to an auxiliary movable support for neurology nursing, and aims to solve the problems that when an existing patient is supported and moved through a support, the support is not provided with a protective structure, the patient may be impacted by the outside or is affected by other factors, the patient falls down, and potential safety hazards exist on personal safety of the patient. According to the technical scheme, the support comprises a top plate, a bottom plate, a bottom frame and two supporting frames, the bottom of the bottom plate is fixedly connected with the top of the bottom frame, the bottom frame is in a U shape, and the top plate is arranged over the bottom plate, so that a patient can be comprehensively protected when using the support; the height of the support can be adjusted according to the needs of the patient, the use convenience is improved, meanwhile, the anti-skid performance of the holding rod is improved through the anti-skid sleeve and the soft cushion, the holding stability of the patient is improved, and the collision damage between the legs of the patient and the inner wall of the bottom frame is reduced.

A medical device is configured to generate an accelerometer signal and detect a patient fall from the accelerometer signal. The device generates a body posture signal and a body acceleration signal from the accelerometer signal and detects a patient fall in response to determining that the body posture signal and the body acceleration signal satisfy fall detection criteria. The medical device is configured to receive a fact signal from another device that is not the medical device. The fact signal can indicate that the detected patient fall is a false detected patient fall, and in response to receiving the fact signal, the medical device adjusts at least one fall detection control parameter.

The utility model discloses an anti-sliding type seat protection vest which aims at solving the technical problems that in the prior art, due to the fact that the whole body of a patient falls due to weight, the buttocks of the patient slide, the restraint stability of the patient is poor, the patient slides, falls and sits obliquely, and the use comfort degree is reduced. The protective vest comprises a restraint vest, the restraint vest is formed by sewing a front chest piece and a back piece, two first fixing belts and two second fixing belts are sewn on the outer surface of the back piece respectively, the first fixing belts and the second fixing belts are made of fuzzing cloth, hook-and-loop fasteners are sewn on the outer surface of the front chest piece, and the first fixing belts and the second fixing belts are made of fuzzing cloth. By means of the design, a patient can wear the restraint vest more conveniently, meanwhile, the trunk and the buttocks of the patient are fixed, the patient can be fixed more stably, the patient is effectively prevented from sliding, and the comfort degree of the patient is guaranteed when the patient sits and stands on the restraint vest.

The invention discloses a pressure self-adjusting compression device for a pacemaker, and belongs to the technical field of medical equipment, the pressure self-adjusting compression device comprises a bandage and a linkage plate, a mounting plate is arranged on the bandage, a mounting groove is formed in the mounting plate, and a compression air bag is fixedly mounted in the mounting groove. According to the scheme, the adsorption groove is formed, after the adsorption groove in the mounting plate is tightly attached to the skin of a patient, the pressing block is loosened, at the moment, the linkage spring contracts and has the tendency to drive the annular plate to reset, and in the process that the linkage spring drives the annular plate to move, the pressure intensity of the side, away from the linkage spring, of the annular plate in the adsorption groove is reduced; the mounting plate and the skin of the patient are tightly adsorbed together under the action of pressure, at the moment, a user can bind the mounting plate through a binding band, so that the compression air bag is effectively prevented from deviating, and by arranging the mounting plate, the situation that the compression air bag is extruded when the patient falls down or lies down, and excessive compression is caused can be avoided; the effect of improving the recovery effect of the patient is achieved.

This invention discloses a postoperative rehabilitation assistive device for joints, comprising an upper fixation plate, a lower fixation plate, a pedal, and straps. The lower fixation plate is rotatably mounted to the lower end of the upper fixation plate, and the pedal is rotatably mounted to the lower end of the lower fixation plate. Multiple straps are fixedly mounted on the surfaces of both the upper and lower fixation plates, with the straps arranged in pairs. The surface of the upper fixation plate is provided with a support mechanism, a positioning mechanism, and an anti-rotation mechanism. The lower fixation plate is provided with a storage mechanism and an anti-scalding mechanism. This postoperative rehabilitation assistive device for joints, by setting up a first support, a second support, a heavy push block, and a supporting long plate, will cause the upper fixation plate to rotate rapidly when the patient falls, swinging the heavy push block. The heavy push block can then impact the supporting long plate, causing the multiple supporting long plates to lock the second support, thus restricting the rotation of the upper fixation plate. The first and second supports can then support the patient, reducing the possibility of the patient falling.

The invention relates to a mobile calling system with an indoor and outdoor positioning function, and belongs to the technical field of mobile calling systems. The system comprises a patient calling terminal, a Bluetooth tag, a calling transfer center, a wireless private network antenna and a nurse station / nurse receiving terminal. The system can obtain the position of a patient wearing a wristwatch type pager in real time in a hospital, and can give an alarm to the nurse station service terminal and the responsible nurse mobile terminal in time when the patient falls down and other accidents occur. And the position information, the living body detection information and the vital sign information of the patient are transmitted to a nurse station service terminal through a wireless private network in real time, so that the time for emergency rescue of the patient is shortened, and the system has a good prospect in practical application. The emergency rescue efficiency and accuracy of an existing hospital calling system can be improved, and the safety of a patient under the emergency condition is guaranteed.

The utility model provides a head protection device for epilepsy, which relates to the technical field of head protection devices for epilepsy, and comprises a protection mechanism, the protection mechanism comprises an outer protection shell, an inner protection shell is arranged in the outer protection shell, a spring is arranged between the outer protection shell and the inner protection shell, a foam pad is fixedly connected to the inner wall of the inner protection shell, and the foam pad is fixedly connected to the inner wall of the inner protection shell. Threaded blocks are arranged on the two sides of the outer protection shell correspondingly, and threaded rods penetrate through the threaded blocks. According to the head protection device for the epilepsy patient, by arranging the protection mechanism, the head of the epilepsy patient can be protected after the epilepsy patient wears the head protection device, the head of the epilepsy patient can be buffered even if the epilepsy patient falls down due to a disease, the head cannot be in direct hard contact, and greater harm to the epilepsy patient is avoided; therefore, the weight of the outer protective shell and the inner protective shell can be borne by the shoulders of the patient.

This invention discloses a dynamic assessment and intervention method for patient fall risk based on multi-source data fusion. It constructs a complete system for managing fall risk in hospitalized patients, encompassing basic data collection, personalized dynamic assessment, multi-dimensional real-time monitoring, individualized intervention, and cross-departmental closed-loop management. By connecting to hospital EMR, HIS systems, and IoT devices, it automatically collects multi-source data on patient baseline data, medication, physiological data, and environmental data. After cleaning and fusion, features are extracted. A three-layer indicator system and LSTM temporal neural network are used to dynamically assess risk. Basic and personalized intervention plans are matched according to risk level, and tasks are pushed through multiple channels while tracking effects. Relying on a cloud-edge collaborative cross-departmental platform, it achieves end-to-end data linkage, early warning push, and plan optimization, adapting to the needs of the entire population and across departments, improving assessment accuracy and intervention execution rate, shortening early warning lag time, freeing up nursing manpower, and forming a continuously improving closed-loop management mechanism.

The utility model discloses a nursing support, which belongs to the field of hepatobiliary pancreatic surgical nursing and comprises two side plates, fixing parts are arranged at the lower half parts of the side plates, clamping components are arranged in the middles of the side plates, two rotating rods are rotatably connected between the two side plates and rotatably penetrate through one of the side plates, and the two rotating rods are fixed on the side plates. The outer surface of the rotating rod is fixedly sleeved with two extension rods, the ends, away from the rotating rod, of the two extension rods are jointly and fixedly connected with a pressing rod, one side corresponding to the side plate is sequentially and fixedly connected with an upper plate and a lower plate from top to bottom, and an adjusting part is arranged between the upper plate and the lower plate. Through cooperation of the adjusting part, the pressing rods and the clamping assembly, before a patient sleeps, the lead screw is rotated, the two pressing rods are driven to rotate, the pressing rods move to the position close to the upper portion of the body of the patient, turning over of the patient is limited, and the situation that the patient turns over the body in an unconscious state when the patient sleeps, and consequently an abdominal wound is torn is avoided.

The invention relates to the technical field of image analysis, in particular to an intelligent patient falling detection system and method based on ward monitoring, and solves the technical problem that an existing falling detection scheme is low in accuracy and reliability. The system comprises a depth sensor used for collecting a depth image sequence in a ward in real time; the patient falling intelligent detection device is used for calculating a three-dimensional posture coordinate sequence of the target object according to the depth image sequence; the patient falling intelligent detection device is further used for calculating expected step length execution time and attitude instability of the target object at each time point based on the three-dimensional attitude coordinate sequence; the expected step length execution time is used for representing the estimated time required by the target object to complete the expected step length under the current motion trend, and the posture instability represents the degree of instability of the body posture of the target object; the intelligent patient falling detection device is further used for conducting falling risk detection based on the expected step length execution time and the posture instability degree.

An embodiment of the present invention relates to a method and apparatus for managing patient fall risk using SPPB test results, wherein the method and apparatus can predict the patient's fall risk based on SPPB test results and manage the patient's fall risk factors accordingly.

The utility model relates to the technical field of nursing auxiliary equipment, and particularly discloses an ICU critical patient turning-over pillow which comprises a turning-over mechanism, the turning-over mechanism comprises a first pillow body and a second pillow body, a corrugated stretching area and an expansion air bag are fixedly installed between the first pillow body and the second pillow body, and an air pipe is connected to the expansion air bag. The limiting mechanism comprises a bottom plate fixedly installed on the lower surface of the first pillow body, a drawing groove is formed in one end of the bottom plate, a telescopic plate is slidably connected into the drawing groove, a connecting plate is fixedly connected to one end of the telescopic plate, and a limiting bent plate is arranged on the connecting plate. According to the device, the first pillow body and the second pillow body which are provided with the expansion air bags are arranged, in the turning-over process, a patient can press the expansion plates, and the situation that the patient slides off from the turning-over pillow in the turning-over process can be effectively avoided by matching with the limiting bent plates on the expansion plates.