8614results about "Nursing beds" patented technology

A limb support fastening arrangement for fastening a limb support to a limb of a wearer is disclosed. The arrangement comprises a first and second fastening portion, the first portion comprising an inflatable chamber comprising an upper and lower chamber wall and a first fastener disposed proximate the upper chamber wall, the lower chamber wall being arranged in use, to extend proximate the limb of the wearer. The second portion similarly comprises an inflatable chamber comprising an upper and lower chamber wall and a second fastener disposed proximate the upper chamber wall, the lower chamber wall being arranged in use, to extend proximate the limb of the wearer. The fastener associated with the first portion is arranged to detachably couple with the fastener associated with the second portion to detachably couple the first and second portions together, by positioning the lower chamber wall of one portion over the upper chamber wall of the other portion.

The invention relates to the technical field of artificial intelligence, and discloses an artificial intelligence-assisted adaptive sickbed control system and method, and the method comprises the steps: carrying out the noise reduction and normalization preprocessing of original physiological data collected by a multi-modal sensor, and obtaining standardized multi-modal data; performing time sequence fusion and dimension reduction to obtain low-dimensional fusion features; performing feature extraction through a multi-branch convolutional neural network to obtain generalization feature representation; the optimal posture demand of the patient is predicted through a long-short term memory network model with an attention mechanism, and an optimal posture demand prediction result is obtained; a layered sickbed adjustment strategy is generated through a double-time-scale reinforcement learning network comprising a priority experience playback mechanism; according to the intelligent sickbed control method and system, the multi-mode sensing data can be comprehensively utilized, the adaptive learning ability is achieved, the intelligent sickbed can be accurately controlled, and the performance and the application effect of the intelligent sickbed are improved.

A patient support apparatus for transporting a patient over a floor surface is described herein. The patient support apparatus includes a drive system with a drive member, a user interface arranged for selective user engagement by a user to operate the drive system, and a control system for operating the drive system. The control system includes a processor configured to determine that the patient transport apparatus is traveling on an inclined floor surface, monitor the user interface for changes in user engagement by a user, and operate the drive system to decelerate the drive member to one of a plurality of positions based on the changes in user engagement.

The invention relates to the technical field of sickbed control, in particular to a control system of an intelligent bed and a control method thereof. The method comprises the following steps: acquiring structural data of the intelligent bed; carrying out human body fitting area gravity sensor deployment on the intelligent bed structure data to obtain sickbed sensor deployment data; performing gravity sensor data acquisition on the sickbed sensor deployment data to obtain an initial gravity sensor data set; carrying out data matrix processing on the gravity sensor data set to generate a multi-dimensional pressure sensing matrix; acquiring user pain part data and bed board motor initial position data; and performing pressure distribution mode recognition on the multi-dimensional pressure sensing matrix to obtain a uniform distribution mode and a concentrated distribution mode. According to the invention, through the personalized support regulation, global attitude optimization and real-time feedback mechanism of the intelligent bed, the control accuracy and intelligence of the intelligent bed are improved.

A patient transport apparatus includes a base, a patient support deck, a plurality of wheels, a plurality of brakes, and an electro-mechanical braking system. The electro-mechanical braking system includes a linkage and an electrical braking assembly. The linkage is operatively coupled to the brakes to place the brakes in a braked state, a released state, or other state. The electrical braking assembly includes an actuator assembly that moves the linkage via a driving member. A user interface includes an input control for user engagement. A brake control circuit includes a hold circuit to generate an enable signal with a predetermined voltage in response to the user engagement with the input control, maintain the enable signal for a predetermined period following user disengagement with the input control, and operate the actuator assembly with the enable signal to move the driving member within the predetermined period.

Disclosed herein is a system, apparatus and method directed to automated adjustment of a positioning of a drainage bag based on at least an amount of tension within a tubing extending from the drainage bag. The system, apparatus and method pertain to an automated drainage bag actuation system that includes at least a first railing, a control box coupled to the first railing and configured to receive mounting fasteners that couple a drainage bag to the control box, the control box including a tension load cell sensor, a first motor, and circuitry electrically coupled to the first motor and the tension load cell sensor. The circuitry is configured to receive data from the tension load cell sensor indicating an amount of tension in tubing extending from the drainage bag and transmit one or more electrical signals to activate the first motor causing adjustment of a positioning of the drainage bag.

A patient support apparatus includes a frame, a support surface, a caregiver control panel, a patient control panel, and a controller. The caregiver control panel includes a lock out control that, when manually activated by a caregiver, locks out one or more particular controls on the patient control panel. The controller is also adapted to automatically lock out the one or more particular controls, irrespective of the state of the lock out control, in response to a triggering event. The triggering event may include one or more of the following: the arming of an exit detection system, the arming of a monitoring system, the passage of a predetermined time period, the use of a scale, the zeroing of the scale, the receipt of a fall risk score for the patient, etc. The caregiver control panel may allow the caregiver to select what patient controls are automatically locked out.

The invention discloses an AI intelligent control pressure sore prevention self-adaptive mattress system which comprises a mattress body provided with a polymer support column structure covering in all directions and designed into a plurality of areas, and the areas are accurately divided to support a human body and disperse pressure; the sensor array module is used for recording monitoring data of contact between each part of a human body and a plurality of areas of the mattress body in real time; the AI chip control module integrates an advanced algorithm and a processor and is used for receiving and analyzing the monitoring data from the sensor and sending out a control instruction based on an analysis result; and the database management module is used for storing monitoring data of patients with different weights, heights, ages and body positions and is used for predicting and early warning pressure sore risks. According to the invention, pressure sore risk areas can be accurately identified in a zoning manner, pressure, temperature and humidity information can be monitored in real time, and meanwhile, a proper pressure state is automatically adjusted, so that the occurrence of pressure sores is effectively prevented.

An absorbent structure, including a sensor system, can sense and measure the level of wetness contained within the absorbent structure as well as sense and measure environmental conditions. The sensor system may include passive RFID sensors or tags, RFID readers, antenna, a tuning module, a processing module, a memory module and a wireless communication module. The absorbent structure may further include two or more sensors, with a first sensor placed in a first area most likely to first be exposed to liquid and a second sensor spaced apart from the first sensor in an area likely to be exposed to liquid only after the absorbent structure has become more saturated.

The invention belongs to the technical field of intelligent medical treatment, and discloses a camera-free intelligent vital sign monitoring patient bed system which comprises a sickbed body, a vital sign monitoring module, a state sensing module, an abnormal behavior recognition module, an intelligent reminding module and a computer terminal. The sickbed body is used for sensing whether a patient is on the bed, the lying position and the body movement condition, the vital sign monitoring module is used for monitoring vital signs of the patient in real time, the state sensing module is used for judging the life state of the patient, and the abnormal behavior recognition module is used for recognizing whether the behavior of the patient is abnormal. The intelligent reminding module is used for reminding medical staff to pay attention to the condition of the patient, and the computer terminal is used for displaying the real-time state of the patient in each sickbed. According to the camera-free intelligent vital sign monitoring patient bed system, the vital signs, states and behaviors of the patient can be monitored in real time on the premise that the privacy of the patient is protected, and a nurse is reminded to deal with abnormal conditions in time.

A hinge assembly for a bed includes a hinge guide assembly connected to a head section of the bed, and a bed frame assembly mounted portion connected to the bed frame assembly. The hinge guide assembly forms curved guide tracks that receive roller bearings mounted to the bed frame assembly mounted portion. The connection between the hinge guide assembly and roller bearings results in angular rotation of the head section relative to the bed frame assembly.

A person support apparatus, such as a bed, cot, stretcher, or the like, includes an exit detection system that has, in some embodiments, multiple user-selectable modes. A first mode issues an alert in response to a static condition being met and the second mode issues an alert in response to a dynamic condition being met. The static condition may be defined by an unchanging boundary that triggers an alert if the occupant's center of gravity crosses the boundary. The dynamic condition may be defined by a changing boundary that triggers an alert if the occupant's center of gravity crosses it. The changing boundary may change based upon the occupant's height, weight, BMI, vital sign, or other characteristic. The changing boundary may also change based upon a position of one or more components of the person support apparatus, such as a siderail or Fowler section.

A controlling system method docking for a mobile patient bed with a medical device. The method may include: obtaining, based on a docking instruction, positioning information of a target; controlling, based on the positioning information of the target, a movement of the mobile patient bed; and in response to determining that the mobile patient bed moves into a docking region of the medical device, controlling the mobile patient bed to dock with the medical device using a first docking structure on the mobile patient bed and a second docking structure on the medical device, wherein the first docking structure and the second docking structure are mechanical connection structures. By adopting the embodiments of the present disclosure, an operator may carry a mobile device to move, and control the movement of the patient bed by continuously changing a position of the mobile device, or may enable the patient bed to obtain an automatically planned path through the positioning information of the medical device and to move along the automatically planned path.

The invention discloses a safety monitoring system for a nursing sickbed. The safety monitoring system comprises a sensing module, a data transmission module, a data processing module, an alarm module and a display and interaction module. The sensing module collects physiological data and environmental data of a patient on a sickbed, the data transmission module transmits the data to the data processing module through wireless communication, and the data processing module performs anomaly detection and trend prediction based on the collected data and calculates a safety risk score of the patient. When the safety risk score exceeds a preset threshold value, the alarm module sends out an alarm signal. And the display and interaction module displays the real-time data, the risk score and the prediction result of the patient to a nurse, and supports the nurse to carry out interaction operation through a terminal. According to the system, by integrating various sensors and an advanced data processing technology, comprehensive monitoring and accurate early warning on the safety of a patient are achieved, the falling risk of the patient is effectively reduced, the nursing quality is improved, the workload of nursing personnel is relieved, and the medical cost is reduced.

In some implementations, a prone face pillow may include a body having a top surface, a bottom surface, a right-side surface, a left-side surface, and an internal cavity being open at the top surface and the bottom surface. In addition, the prone face pillow may include a right-side intubation tube channel having a non-horizontal pathway and a left-side intubation tube channel having a non-horizontal pathway. Moreover, the prone face pillow may a right-side slot and a left-side slot each configured to allow insertion of an intubation tube into the left-side channel. Also, the prone face pillow may include a right-side perforation pattern and a left-side perforation pattern, where the right-side or left-side perforation pattern must be broken prior to insertion of the intubation tube.

Disclosed herein is a system, apparatus and method directed to automated adjustment of a positioning of a drainage bag based on at least an amount of tension within a tubing extending from the drainage bag. The system, apparatus and method pertain to an automated drainage bag actuation system that includes at least a first railing, a control box coupled to the first railing and configured to receive mounting fasteners that couple a drainage bag to the control box, the control box including a tension load cell sensor, a first motor, and circuitry electrically coupled to the first motor and the tension load cell sensor. The circuitry is configured to receive data from the tension load cell sensor indicating an amount of tension in tubing extending from the drainage bag and transmit one or more electrical signals to activate the first motor causing adjustment of a positioning of the drainage bag.

The invention relates to the technical field of movement mechanism design, and provides an adjustable virtual center rotation device which comprises a rack, a movable part, an overturning unit and an adjusting unit. The movable part is arranged on the rack. The overturning unit is connected with the movable part so as to drive the movable part to overturn. The adjusting unit is arranged on the rack, a moving seat is arranged on the adjusting unit, the adjusting unit is configured to be capable of driving the moving seat to move in at least one direction, and the moving seat is connected with the overturning unit so as to adjust the overturning center position of the overturning unit. Through the synergistic effect of the overturning unit and the adjusting unit, the rotation center of the movable part can be accurately adjusted, so that the rotation center of the movable part is kept consistent with the body rotation centers of different users. The problem that a traditional nursing bed is poor in adaptability due to the fact that the rotation center is fixed is effectively solved, and personalized nursing is provided for users of different heights and body types. The application range of the nursing bed is greatly widened, and a user who is tall or short can have comfortable back lifting experience.

Disclosed are a high-barrier inflatable cushion and a preparation process therefor, which related to the technical fields of high-barrier inflatable cushions. The preparation process includes the following steps: material feeding, heating, vacuum counter-pressure molding, spray cooling, air cooling and drying, die-cutting, and thermal bonding. The high-barrier inflatable cushion comprises an airbag forming material and an airbag base material. The airbag forming material is prepared by laminating a TPU-EVOH composite with Lycra fabric, the TPU-EVOH composite has a total thickness of 0.4-0.8 mm, and the Lycra fabric has a gram weight of 150-230 g / m2. The airbag base material is prepared by laminating the TPU-EVOH composite with non-woven fabric, the TPU-EVOH composite has a total thickness of 0.1-0.3 mm, and the non-woven fabric has a gram weight of 60-80 g / m2.

A patient support apparatus and a method of notifying persons within a vicinity of the patient support apparatus are disclosed. The patient support apparatus includes a patient support structure for supporting a patient, an actuator for moving the patient, a notification system, and a controller coupled to the notification system and the actuator. The controller receives a selection of a remote control function via a communication network, generates a notification in response to receiving the selection of the remote control function, and transmits an output signal to the actuator based on the selection of the remote control function. The notification system executes the notification prior to the controller transmitting the output signal to the actuator.

A bed is provided having a base frame, a patient support assembly connected to the base frame. The patient support assembly is rotatable adjacent the foot end of the bed to place the patient support assembly, including the head section and foot section thereof, in a generally vertical position to allow a patient to exit the bed in a standing orientation.

The invention discloses an intelligent pressure self-adaptive anti-bedsore nursing mattress system which comprises a flexible pressure sensing layer configured on the surface of a mattress and used for monitoring pressure distribution data of all parts of the body of a lying person in real time; the multi-air-chamber dynamic adjusting structure comprises a plurality of independent air chambers capable of being inflated and deflated, and the air chambers are distributed in the mattress and used for adjusting the supporting pressure of the corresponding areas according to instructions; the edge intelligent control module analyzes data based on a preset artificial intelligence algorithm to predict a bedsore occurrence risk area, and generates a control instruction according to a prediction result to drive the multi-air-chamber dynamic adjustment structure to adjust the pressure of each air chamber; and the environment regulation and control system comprises a temperature and humidity sensor and a microenvironment regulation device. Through real-time body pressure monitoring, AI risk prediction, dynamic pressure regulation and temperature and humidity coordinated regulation and control, local pressure can be remarkably reduced, a high-risk area can be early warned in advance, and a local microenvironment is improved, so that bedsores are effectively prevented, and nursing dependence is reduced.

The present invention discloses an air mattress system including a first protection cell group disposed on one side of a support cell group. The first protection cell group includes a first middle cell having a height not exceeding a support surface, so as to preserve smooth routing paths for medical treatment pipelines and prevent obstructed flow of fluids. A front and a rear of the first protection cell group are respectively provided with a first front cell and a first rear cell, both of which are provided with bottom air chambers. When a patient needs to be transferred, the bottom air chambers are controlled to be deflated so that tops of the first front cell and the first rear cell are substantially lowered to be near the support surface to provide the patient with an unobstructed transition during the transfer. When the height of the first protection cell group needs to be restored, only the bottom air chambers need to be inflated and a bed height suitable for a patient to lay on can be quickly restored. The present invention attends to requirements of both smooth pipeline routings and ease of transfer for a patient, hence improving practicability and quality of care of the air mattress system.

The invention relates to an accurate collision-free automatic docking control method which is characterized by comprising the following steps: S1, remote guidance: triggering an automatic docking signal, establishing a three-dimensional semantic map, completing autonomous positioning, planning a docking path, performing real-time obstacle avoidance navigation, and executing safe and stable movement to reach a pre-docking position; s2, posture adjustment: when reaching the pre-docking position, determining the target posture of the target docking object and the posture of the object to be docked, and adjusting the posture of the object to be docked to the pre-docking posture; and S3, short-range docking: based on motion compensation, detecting a motion error, generating a motion correction instruction according to error signal feedback, and realizing collision-free accurate docking. The movement function and the body position changing function of the intelligent wheelchair are achieved through the intelligent wheelchair, smooth and stable switching can be achieved in the changing process of the intelligent wheelchair, and meanwhile the intelligent wheelchair is an indoor power assisting system, has the obstacle avoiding walking function and can be in collision-free automatic butt joint with a bed body and a closestool.

The invention discloses a bedsore prevention and body position management system and method.The system comprises a mattress, a multi-mode sensing unit, a central processing unit and a body position adjusting unit, the mattress is used for providing lying support for a patient, the multi-mode sensing unit is arranged on the mattress, the central processing unit is arranged on the mattress, and the body position adjusting unit is arranged on the central processing unit. The multi-mode sensing unit is used for collecting pressure distribution data, temperature and humidity data and body posture data of a bedridden patient in real time, and the central processing unit is in communication connection with the multi-mode sensing unit and used for receiving, fusing and processing the data collected by the multi-mode sensing unit and conducting bedsore risk assessment based on a preset bedsore risk model. The central processing unit is used for generating a bedsore risk level and a body position management instruction, and the body position adjusting unit is arranged in the mattress, connected with the central processing unit and used for receiving and executing the body position management instruction so as to adjust the distribution of pressure borne by the body surface of a patient. According to the system, real-time monitoring of bedsore risks and automatic body position adjustment are achieved, the nursing load is relieved, and the nursing efficiency and quality are improved.

The invention relates to the technical field of pressure sore nursing, discloses an intelligent nursing system for pressure sore nursing of a patient suffering from cerebral infarction and a back raising optimization method, and is particularly used for solving the problem that the risk of pressure sore deterioration is caused due to the fact that the patient suffering from cerebral infarction cannot sense local pressure and abnormal shearing force in the back raising process in time due to feeling and dyskinesia. The system comprises a data acquisition module, a feature extraction module, a feature fusion module, a feature dimension reduction module, a pressure sore risk prediction module, a feedback control module and a back-up execution module, and the method is based on a target function, and dynamically adjusts back-up execution parameters in combination with acquired data and pressure sore risk scores and grades obtained through analysis. According to the method, multi-modal data are collected in real time, the body posture, motion trail, local stress, shearing force and pressure of the patient in the back raising process are comprehensively considered, closed-loop control is optimized through an objective function, the back raising speed, angle and supporting force are dynamically adjusted, and pressure sore aggravation or secondary injury of the patient after cerebral infarction in the back raising process is prevented.

A patient support, such as a mattress, includes a plurality of inflatable bladders. Depth sensors are included in the support that measure the degree of penetration of a patient into the mattress. An air pressure sensor is also included that measures the pressure inside at least one bladder. A suitable inflation level of the mattress is determined by monitoring the rate of change of the depth with respect to air pressure as the bladder is either inflated or deflated. By detecting an inflection point in the graphical relationship of the depth and pressure outputs, a suitable inflation point for the bladders is determined that reduces interface pressures experienced by the patient, yet does not overly sink the patient into the mattress to a degree of discomfort. Analyzing the outputs of the depth and pressure sensors can also be used to detect a patient's heart rate and respiration rate.

The invention relates to an intelligent transfer vehicle and electric sickbed linkage positioning method and system, and the method comprises the steps: obtaining the recognition information of an electric sickbed, and the recognition information comprises position information and posture information; acquiring self attitude data of the intelligent transfer vehicle, fusing the identification information, the self attitude data of the intelligent transfer vehicle and the surrounding environment information, and generating a three-dimensional docking path; the posture parameters of the intelligent transfer vehicle are continuously adjusted in the moving process; in the process of navigating and moving along the three-dimensional docking path, receiving structure state information of the electric sickbed in real time for judging whether a preset docking condition is met or not; after a preset docking condition is met and the intelligent transfer vehicle completes adjustment, a docking completion prompt signal is sent out; after a docking completion prompt signal is received, patient transfer operation is executed, and the patient is transferred from the electric sickbed to the intelligent transfer vehicle platform. The method has the effect of improving the safety in the patient transfer process.

Disclosed is an anti-snoring pillow, including a pillow bottom plate, a sleeping posture sensor is fixedly connected to a lower surface of the pillow bottom plate, and a sleeping posture airbag and a main control box are fixedly connected to an upper surface of the pillow bottom plate, wherein a head position sensor is fixedly connected to an upper surface of the sleeping posture airbag, an anti-snoring airbag is fixedly connected to an upper surface of the head position sensor, and the main control box is in communication connection with an air pump box, the air pump box is connected to the sleeping posture airbag and the anti-snoring airbag through pipelines, and wherein the sleeping posture sensor and the head position sensor are in communication connection with the main control box, and a pillow supporting cotton is provided on the upper surface of the pillow bottom plate.

The invention discloses an intelligent accompanying method and an emotion monitoring device, which are applied to an emotion monitoring intelligent bed, and the method comprises the steps: obtaining emotion data of a user, the emotion data comprising voice features, expression features and posture change features; judging different emotion data to obtain different emotional states, and obtaining a target emotional state of the user according to the different emotional states and preset weight information of the different emotional states; when the target emotional state is an abnormal state, sending out a first feedback signal; and according to the first feedback signal, guiding the user to perform voice interaction through a semantic analysis model, and outputting an audio reply corresponding to the user voice information. According to the method, the emotion state of the user can be detected and fed back in real time, the emotion of the user is adjusted in a voice dialogue communication mode, and the nursing quality of the user is improved.

A bed is provided having a base frame, a patient support assembly connected to the base frame. The patient support assembly is rotatable adjacent the foot end of the bed to place the patient support assembly, including the head section and foot section thereof, in a generally vertical position to allow a patient to exit the bed in a standing orientation.