21 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-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.

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 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.

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.

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 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 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 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.

The utility model generally relates to the technical field of medical equipment, in particular to a non-accompanying sickbed capable of preventing people from falling, which comprises a bedstead, side guardrails, end guardrails, a movable baffle and a mounting frame, the side guardrails are arranged on two sides of the bedstead, the end guardrails are arranged at two ends of the bedstead, the mounting frame is arranged close to the end guardrail at the tail end, and the movable baffle is arranged on the mounting frame. The mounting frame is detachably connected with the bed frame, the movable baffles are rotatably arranged on the two sides of the mounting frame and used for filling gaps between the side guardrails and the end guardrails, and the sickbed is enclosed through the side guardrails, the end guardrails and the movable baffles. According to the hospital bed, the side guardrails, the end guardrails and the movable baffles enclose the hospital bed to form a closed enclosure area, compared with an existing hospital bed, a patient can be protected in all directions, the accident that the patient falls off the bed is avoided, the movable baffles and the side guardrails can be folded when the hospital bed is not used, storage is convenient, and use is convenient. The patient is not affected to get in and out.

The utility model discloses an operating bed anti-falling assembly and an operating bed, the operating bed anti-falling assembly is arranged on the operating bed, the operating bed anti-falling assembly comprises shoulder stoppers, side stoppers and stopping rods, the shoulder stoppers are arranged at the end part of the operating bed, and the two shoulder stoppers are symmetrically arranged; the two side baffles are symmetrically arranged on the two sides of the operating bed and used for providing blocking protection for the two side edges of the operating bed. One end of the blocking rod is hinged to the end, away from the operating bed, of the shoulder block, and the blocking rod can rotate relative to the shoulder block. When the anti-falling assembly of the operating bed is used, the shoulder baffle can support the shoulders of a patient placed on the operating bed in a supine position with a low head and a high foot, the two side baffles can protect the two sides of the patient, the blocking rod can rotate relative to the shoulder baffle so as to be erected between the chest and the clavicle of the patient, and the anti-falling assembly of the operating bed can prevent the patient from falling off. And the probability that the patient falls off the bed when lying on the supine position with the low head and the high feet is greatly reduced.

A damping device (40) for a patient lifting device (100a, b), the damping device (40) comprising a body (42) formed of a deformable visco-elastic material; and at least one aperture (41) configured to receive a connecting unit (21, 22) of the patient lifting device (110a, b), wherein the damping device (40) is configured, when positioned between a patient sling (20) of the patient lifting device (100a, b) and a patient hoist (200a, b) of the patient lifting device (100a, b), to dissipate kinetic energy by deformation in response to a shock load occurring during a patient fall.