Laminating plate for measuring nutritional status data of patient

Abstract

The invention relates to a transfer board for measuring nutritional status data of a patient. The transfer board comprises a transfer board body, a weight measuring device, a human body composition analyzing device, a data processing system and a self-adaptive adjusting system, the bed passing plate body is of a structure convenient to fold and disassemble and comprises a telescopic plate body, a folding mattress is arranged in the plate body, and electric lifting mechanisms and translation idler wheels are arranged at the four corners of the plate body. The body weight measuring device comprises a force sensor array distributed on the surface of the passing bed plate; the human body composition analysis device comprises an electrode; the data processing system is used for summarizing weight, body composition and other data and accessing the data to a hospital information system; the self-adaptive adjusting system comprises a sensing layer, a control layer and an execution layer. The body weight and body composition measurement can be synchronously completed in the patient transfer process, automatic collection and management of nutritional status data are achieved, the safety and comfort of patient transfer can be improved through the self-adaptive adjustment system, and the accuracy of measured data is guaranteed through the automatic calibration system.

Description

TECHNICAL FIELD

[0001] The present application relates to a kind of over bed board for measuring patient nutritional status data, belong to medical instrument technical field. BACKGROUND

[0002] At present, critical patients usually need to be measured separately in the process of hospitalization and transportation, which not only increases the workload of medical staff, but also may cause discomfort and even safety risks to patients due to multiple transportation. The existing over bed board mainly functions for patient transportation, lacks integrated nutritional status measurement function, and cannot synchronously obtain the key data such as body weight and body composition of patients during transportation. In addition, the traditional measurement equipment has the problems of complex calibration process, difficult to guarantee data accuracy, unable to adapt to the difference of patient's body type in real time, and low docking efficiency of measurement data and hospital information system, which affects the rapid assessment of patient's nutritional status and the formulation of treatment plan by medical staff. SUMMARY

[0003] To solve the problems existing in the prior art, the present application provides an over bed board for measuring patient nutritional status data, which can synchronously complete the measurement of body weight and body composition during patient transportation, realize the automatic collection and management of nutritional status data, and improve the safety and comfort of patient transportation through self-adaptive adjustment system and ensure the accuracy of measurement data through automatic calibration system.

[0004] To achieve the above purpose, the technical scheme provided by the present application is as follows: an over bed board for measuring patient nutritional status data, comprising an over bed board body, a body weight measurement device, a body composition analysis device, a data processing system and a self-adaptive adjustment system.

[0005] The over bed board body adopts a structure convenient for folding and disassembling, comprising a telescopic plate body, a folding mattress is built-in in the plate body, and an electric lifting mechanism and a translation roller are arranged at four corners. Two groups of telescopic dual-wavelength infrared scanning probes are installed below the folding mattress in the middle of the over bed board, the probes are kept at a distance of 0.5 cm from the surface of the mattress, the probes are equipped with a rotating support driven by a micro stepping motor to realize ±45° angle adjustment and adapt to the lumbar curve of patients with different body types. An infrared positioning lamp is arranged at the edge of the over bed board on both sides, when a patient lies down, the third lumbar vertebra surface projection position is quickly positioned by projecting a cross light spot, and the scanning area of the probe is accurately calibrated.

[0006] The body weight measurement device comprises a force sensor array distributed on the surface of the over bed board, which is used to measure the body weight when transporting the patient, and simultaneously analyzes the body pressure distribution of the patient in real time to identify the pressure characteristics of the third lumbar vertebra corresponding area.

[0007] The human body composition analysis device comprises electrode pieces installed at specific positions on the surface of the overbed board, and after the patient lies down, the electrode pieces are driven to adhere to the skin by air pressure, and based on the principle of bioelectric resistance, multiple measurements are performed by multiple electrode pieces to calculate the overall and local human body composition ratio.

[0008] The data processing system is used for collecting and inputting weight, human body composition and other data into a hospital information system.

[0009] The adaptive adjustment system comprises a perception layer, a control layer and an execution layer, the perception layer is used for acquiring patient weight and body size parameters, the control layer is used for processing data and sending instructions, and the execution layer is used for adjusting the state of the overbed board according to the instructions.

[0010] Further improvement of the above technical solution is:

[0011] The perception layer of the adaptive adjustment system comprises a pressure sensor array and a body size detection module; the pressure sensor array adopts a resistance strain type pressure sensor, is uniformly distributed on the surface of the overbed board to form a matrix type layout, and is used for acquiring patient weight and body size contour information; the body size detection module comprises an infrared depth camera or a laser radar, and acquires patient body size parameters by three-dimensional imaging technology, at least including height, shoulder width and hip width data.

[0012] The control layer of the adaptive adjustment system comprises a main control unit and a communication module; the main control unit selects a high-performance microcontroller, is used for receiving perception layer data, running an adaptive adjustment algorithm and sending control instructions to the execution layer; and the communication module integrates a Wi-Fi, Bluetooth or ZigBee communication module, and is used for data interaction with external devices.

[0013] The execution layer of the adaptive adjustment system comprises a lifting device and an alarm device; the lifting device adopts a lifting mechanism driven by an electric push rod or a servo motor, cooperates with a linear guide rail and a ball screw, and is used for dynamically adjusting the height of the overbed board according to the feedback of the pressure sensor; and the alarm device comprises an audible and visual alarm module, and is used for issuing an alarm when a pressure sensor fault, a folding angle exceeding a safety range or a weight exceeding an upper load limit is detected.

[0014] The overbed board is provided with an automatic calibration system connected with the measurement sensor of the perception layer and the main control unit of the control layer, and is used for storing calibration parameters, setting a calibration period and triggering a calibration process; specifically comprising a height calibration module, a weight calibration module and a human body composition analysis calibration module.

[0015] The height calibration module adopts a high-precision laser range finder or a grating ruler as a reference, and automatically calibrates once a week, and triggers an abnormal calibration when the measurement deviation exceeds ±1cm for multiple times in succession;

[0016] Body weight calibration module, using standard weights as reference, automatically calibrated once a month, triggered when the measured data deviates from the actual body weight by more than ±0.5kg.

[0017] Human body composition analysis calibration module, using standard impedance to simulate human tissue electrical impedance characteristics, triggered when the body fat rate of the same test object fluctuates by more than ±2%.

[0018] The overbed board for measuring patient nutritional status data includes a body position and stability monitoring device, specifically including an anti-slip structure and a protection device.

[0019] Anti-slip structure, the surface of the overbed board uses medical-grade silicone or anti-slip plastic with nano-level texture to increase surface friction.

[0020] Protection device, a liftable electric anti-slip rod is arranged at the edge of the overbed board, each anti-slip rod is driven by a micro servo motor, the surface is wrapped with an anti-slip rubber sleeve with a diameter of 30mm and a lifting range of 0-100mm.

[0021] Its control logic is that the system monitors sensor data in real time, when it detects that the patient has a tendency to slip, the main control unit controls the anti-slip rod at the corresponding position to rise to an appropriate height, while supporting manual control.

[0022] The overbed board is provided with an intelligent interaction interface, specifically including a display module, a physical control module, an interaction interface design and a remote control platform.

[0023] Display module, a touch screen is embedded in the side of the overbed board or the head of the bed, with a resolution of 1920×1080, the surface is covered with Corning Gorilla glass, and it supports glove operation.

[0024] Physical control module, including an emergency stop button and a power switch with silicone seal design;

[0025] Interaction interface design, using layered layout, the main interface displays patient basic information and measurement data trend chart, secondary menu provides function options, and Tailwind CSS is used to build responsive layout;

[0026] Remote control platform, including a Web management terminal and a mobile application, the Web management terminal is developed by Vue.js+TypeScript, integrated with ECharts to realize data visualization, and the mobile application uses React Native framework, supporting alarm push, real-time monitoring and remote operation.

[0027] The human body composition analysis device completes human body composition measurement synchronously when the patient passes over the overbed board by arranging multiple electrodes on the surface of the overbed board, and the measurement data is imported into the HIS system with patient information after being summarized by the data processing system.

[0028] The over-bed board body adopts a telescopic structure, and the height can be adjusted up and down, and rollers are arranged at the head and tail of the bed to realize left-right translation, so that the patient is convenient to pass through the bed.

[0029] The lifting device receives the pressure data fed back by the pressure sensor in real time during the adjustment process, and dynamically adjusts the sensitivity of the pressure sensor, so as to adapt to the measurement requirements of patients with different weights.

[0030] According to the above technical scheme, the over-bed board for measuring the nutritional status data of the patient is provided, and the integration of transfer and measurement is realized by integrating various functional modules and an intelligent control system.

[0031] (1) The technical scheme adopted by the present application integrates the body weight measuring device, the human body composition analysis device and the over-bed board body, synchronously completes the collection of nutritional status data during the patient transfer process, reduces the secondary handling of the patient, and improves the medical work efficiency.

[0032] (2) The adaptive adjustment system adopted by the present application can dynamically adjust the state of the over-bed board according to the weight and body shape parameters of the patient through the collaborative work of the perception layer, the control layer and the execution layer, and improves the safety and comfort of the patient transfer.

[0033] (3) The automatic calibration system adopted by the present application sets different calibration mechanisms for height, weight and human body composition analysis, so as to ensure the accuracy and reliability of the measurement data.

[0034] (4) The data processing system adopted by the present application realizes the seamless connection of the measurement data and the hospital information system, so as to facilitate the medical staff to obtain and manage the nutritional status data of the patient in real time, and provides strong support for clinical diagnosis and treatment.

[0035] (5) The body position and stability monitoring device and the intelligent interactive interface adopted by the present application further improve the safety and operation convenience of the equipment, and meet the special needs of the transfer and monitoring of the critical patient. DETAILED DESCRIPTION

[0036] Figure 1 Overall structure diagram of over-bed board;

[0037] Figure 2 Module block diagram of adaptive adjustment system;

[0038] Figure 3 Work flow chart of automatic calibration system.

[0039] In the figure: 1, telescopic plate body; 2, folding mattress; 3, electric lifting mechanism; 4, roller; 5, anti-skid rod; 6, touch screen; DETAILED DESCRIPTION

[0040] The application will be described in greater detail in connection with the accompanying drawings and specific embodiments, but the scope of protection of the application is not limited to the following examples.

[0041] In the technical solutions provided by the application, a patient nutrition status data measuring over-bed board, as shown in Figure 1 、 Figure 2 and Figure 3 , comprises an over-bed board body, a body weight measuring device, a human body composition analysis device, a data processing system and an adaptive adjustment system.

[0042] The over-bed board body adopts a structure convenient for folding and dismounting, comprising a telescopic board body 1, a folding mattress 2 built-in the board body, an electric lifting mechanism 3 and a translation roller 4 arranged at the four corners; two groups of telescopic dual-wavelength infrared scanning probes are installed below the folding mattress in the middle of the over-bed board, the probes are kept at a distance of 0.5 cm from the surface of the mattress, the probes are equipped with a rotating support driven by a micro stepping motor to realize ±45° angle adjustment and adapt to the lumbar curve of patients of different body types; infrared positioning lamps are arranged at the two side edges of the over-bed board, when a patient lies down, the third lumbar vertebra surface projection position is quickly positioned by projecting a cross light spot, and the scanning area of the probes is accurately calibrated;

[0043] The body weight measuring device comprises a force sensor array distributed on the surface of the over-bed board, which is used for measuring the body weight when the patient is transferred and simultaneously analyzing the body pressure distribution of the patient in real time to identify the pressure characteristics of the third lumbar vertebra corresponding area;

[0044] The human body composition analysis device comprises an electrode sheet, which is installed at a specific position on the surface of the over-bed board, after the patient lies down, the electrode sheet is driven by air pressure to adhere to the skin, based on the bioelectric resistance principle, multiple measurements are performed through multiple electrode sheets to calculate the overall and local human body composition ratio;

[0045] The data processing system is used for collecting and inputting the body weight, human body composition and other data into the hospital information system;

[0046] The adaptive adjustment system comprises a perception layer, a control layer and an execution layer, the perception layer is used for acquiring the body weight and body type parameters of the patient, the control layer is used for processing data and sending instructions, and the execution layer is used for adjusting the state of the over-bed board according to the instructions.

[0047] The perception layer of the adaptive adjustment system comprises a pressure sensor array and a body size detection module; the pressure sensor array adopts a resistance strain pressure sensor, is uniformly distributed on the surface of the deck board to form a matrix layout, and is used to acquire patient weight and body size contour information; the body size detection module comprises an infrared depth camera or a laser radar, and acquires patient body size parameters through three-dimensional imaging technology, at least including height, shoulder width and hip width data.

[0048] The control layer of the adaptive adjustment system comprises a master control unit and a communication module; the master control unit selects a high-performance microcontroller, is used to receive perception layer data, run an adaptive adjustment algorithm, and send control instructions to the execution layer; the communication module integrates a Wi-Fi, Bluetooth or ZigBee communication module, and is used to interact with external devices.

[0049] The execution layer of the adaptive adjustment system comprises a lifting device and an alarm device; the lifting device adopts a lifting mechanism driven by an electric push rod or a servo motor, cooperates with a linear guide rail and a ball screw, and is used to dynamically adjust the height of the deck board according to the feedback of the pressure sensor; the alarm device comprises an audible and visual alarm module, and is used to issue an alarm when a pressure sensor fault, a folding angle exceeding a safety range or a weight exceeding an upper load limit is detected.

[0050] The deck board is provided with an automatic calibration system connected with the measurement sensor of the perception layer and the master control unit of the control layer, and is used to store calibration parameters, set a calibration period and trigger a calibration process; specifically comprising a height calibration module, a weight calibration module and a human body composition analysis calibration module;

[0051] The height calibration module adopts a high-precision laser range finder or a grating ruler as a reference, automatically calibrates once a week, and triggers an abnormal calibration when the measurement deviation exceeds ±1cm for multiple times in succession;

[0052] The weight calibration module adopts a standard weight as a reference, automatically calibrates once a month, and triggers a calibration when the measurement data deviates from the actual weight by more than ±0.5kg;

[0053] The human body composition analysis calibration module adopts a standard impedance to simulate the electrical impedance characteristics of human tissues, and triggers a calibration when the body fat rate of the same test object fluctuates by more than ±2%.

[0054] The deck board for measuring patient nutritional status data comprises a body position and stability monitoring device, specifically comprising an anti-skid structure and a protection device;

[0055] The anti-skid structure adopts a medical-grade silica gel or an anti-skid plastic with nano-level texture on the surface of the deck board to increase the surface friction;

[0056] The guard device is provided with liftable anti-skid rods 5 on both sides of the over-bed board, each of which is driven by a micro servo motor and wrapped with an anti-skid rubber sleeve with a diameter of 30 mm and a lifting range of 0-100 mm;

[0057] The control logic is to monitor the sensor data in real time, and when the patient is detected to have a falling trend, the main control unit controls the corresponding position anti-skid rod to rise to an appropriate height, while supporting manual control.

[0058] The over-bed board is provided with an intelligent interaction interface, specifically including a display module, a physical control module, an interaction interface design, and a remote control platform.

[0059] The display module is a touch screen 6 embedded on the side of the over-bed board or the head of the bed with a resolution of 1920x1080 and a surface covered with Corning Gorilla glass, supporting glove operation.

[0060] The physical control module includes an emergency stop button and a power switch with a silica gel sealing design.

[0061] The interaction interface design adopts a layered layout, with the main interface displaying patient basic information and measurement data trend graphs, and the secondary menu providing function options, using Tailwind CSS to build a responsive layout.

[0062] The remote control platform includes a Web management end and a mobile application, with the Web management end developed using Vue.js+TypeScript and integrated with ECharts for data visualization, and the mobile application using the React Native framework to support alarm pushing, real-time monitoring, and remote operation.

[0063] The human body composition analysis device measures the human body composition by setting multiple electrodes on the surface of the over-bed board when the patient passes through the bed, and the measurement data is imported into the HIS system with the patient information after being summarized by the data processing system.

[0064] The over-bed board body adopts a telescopic structure, which can be adjusted in height up and down, and rollers 4 are arranged at the head and tail of the bed to realize left and right translation, facilitating the patient to pass through the bed.

[0065] The lifting device receives pressure data feedback from the pressure sensor in real time during adjustment, dynamically adjusts the sensitivity of the pressure sensor, and adapts to the measurement needs of patients with different weights.

[0066] Example 1: A male patient was admitted to the intensive care unit (ICU) due to multiple fractures and organ damage caused by a serious car accident. The patient is 175 cm tall and needs to use an overbed board for pre-hospital transfer and assessment. The device uses the smart self-checking program of the healthcare staff to start the overbed board, and calibrates various data. During the data processing system and hospital information system interface debugging, the data back check mechanism is added, and the zero error in the transmission process is ensured through bidirectional data comparison.

[0067] The healthcare staff moves the overbed board to the side of the emergency stretcher, and the adaptive adjustment system's sensing layer not only uses an infrared body scanner to obtain patient size parameters, but also combines millimeter wave radar technology to create a three-dimensional model of the patient's body surface contour. After comprehensive analysis of the data, the electric lifting mechanism adjusts the height of the overbed board with an accuracy of 0.1 mm, seamlessly connecting with the stretcher. During the patient's translation process, the automatically extended bed board is placed under the patient's body, completing the automatic transfer. When the patient is placed on the overbed board, the force sensor array obtains the patient's weight as 70.2 kg in real time, and the pressure distribution sensor identifies the pressure value of the third lumbar region as 25 mmHg. The electrodes adhere to the skin under the action of air pressure, synchronously completing bioelectrical impedance measurement and ultrasonic scanning, obtaining basic data such as body fat rate and muscle mass. The dual-wavelength infrared probe is driven by a mechanical arm, scans the third lumbar position marked by an infrared positioning lamp at an inclination angle of 15°, and obtains the infrared image of the skeletal muscle in this region. The scanning process only takes 20 seconds. After time and space calibration, the multi-modal data is transmitted to the data processing system synchronously, generating a complete report containing the third lumbar skeletal muscle index.

[0068] To verify the accuracy of the overbed board measurement data, after the patient's condition stabilizes, dual-energy X-ray absorptiometry (DXA), considered the "gold standard" for body composition analysis, is used to measure the patient again. At the same time, MRI is used to measure the third lumbar skeletal muscle index. The comparison of measurement data is shown in Table 1.

[0069] Table 1 Comparison of measurement data

[0070] Measurement Index Overboard plate measurement data DXA measurement data / MRI Error Body weight (kg) 75.32 75.35 0.04% Body fat rate (%) 27.95 28.05 0.36% Muscle mass (kg) 28.38 28.42 0.14% Third lumbar skeletal muscle index (cm2 / m2) 40.55 40.68 0.32% Skeletal muscle density (g / cm3) 1.048 1.050 0.19% Water content (L) 36.25 36.32 0.19%

[0071] According to Table 1, the error of each indicator of the overbed board is within the standard range, which can provide near "gold standard" data support for the nutritional status assessment of critically ill patients, and help healthcare staff to develop more accurate individualized nutrition support plans, which has great significance for improving patient prognosis and improving the level of intensive care treatment.

[0072] In this embodiment, the over-bed board body is made of high-strength lightweight material, and the telescopic range of the telescopic board body is set according to clinical needs, which is convenient for adapting to the width of different hospital beds. The built-in folding mattress of the board body is made of medical-grade material, which has good comfort and air permeability, and provides support during patient transfer. The four-corner electric lifting mechanism is driven by a servo motor, cooperates with a linear guide rail and a ball screw, and realizes precise adjustment of the height of the over-bed board. The adjustment range is 0-100mm, which meets the docking needs of different hospital bed heights. The translation roller adopts a mute design, which facilitates the movement of the over-bed board in the horizontal direction and improves the transfer efficiency.

[0073] The force sensor array of the body weight measurement device is composed of a plurality of high-precision resistance strain pressure sensors, which are uniformly distributed on the surface of the over-bed board to form a matrix layout. When the patient lies on the over-bed board, the sensor array collects real-time pressure data at each point, and the patient's weight is calculated by the data processing system. This measurement method can avoid the inconvenience of traditional body weight scales requiring patients to stand, and is particularly suitable for critically ill patients.

[0074] The electrodes of the human body composition analysis device are arranged at specific positions on the surface of the over-bed board. When the patient passes through, the electrodes come into contact with the patient's body. Based on the bioelectrical impedance principle, the body fat rate, muscle mass and other human body composition indicators of the patient are calculated by applying a weak current and measuring the resistance impedance value. The device can complete the measurement without additional operation of the patient, reducing the discomfort of the patient.

[0075] The data processing system adopts a high-performance processor to receive the data of the body weight measurement device and the human body composition analysis device in real time, and after summarizing and processing, it accesses the hospital information system (HIS) through the network interface to realize the automatic storage and sharing of patient nutrition status data. Medical staff can query the measurement data of the patient at any time through the hospital information system to provide a basis for diagnosis and treatment.

[0076] In the perception layer of the adaptive adjustment system, the pressure sensor array not only measures the weight, but also monitors the pressure distribution of the patient on the over-bed board in real time to obtain body shape contour information. The body shape detection module's infrared depth camera or laser radar is installed at an appropriate position on the over-bed board, and the body shape parameters such as height, shoulder width and hip width of the patient are obtained through three-dimensional imaging technology. The main control unit of the control layer receives the data of the perception layer, runs the adaptive adjustment algorithm, calculates the optimal height and state of the over-bed board according to the weight and body shape parameters of the patient, and sends control instructions to the execution layer. The lifting device of the execution layer adjusts the height of the over-bed board according to the instructions, so that the over-bed board is kept horizontal with the target hospital bed, facilitating patient transfer; when an abnormal situation is detected, the alarm device issues an audible and visual alarm to remind medical staff.

[0077] The automatic calibration system is connected with the measurement sensor of the perception layer and the master control unit of the control layer, the body height calibration module is calibrated automatically every week by using a high-precision laser range finder or a grating ruler as a reference, when the measurement deviation exceeds ±1 cm for multiple times, an abnormal calibration process is triggered, the body weight calibration module is calibrated automatically every month by using a standard weight, when the measurement data deviates from the actual body weight by more than ±0.5 kg, the calibration is automatically started, and the body composition analysis calibration module adopts a standard impedance to simulate the electrical impedance characteristics of human tissues, when the body fat rate of the same test object fluctuates by more than ±2%, the calibration is triggered, so that the accuracy of the measurement data is ensured.

[0078] The anti-skid structure of the body position and stability monitoring device is covered with medical-grade silica gel or anti-skid plastic with nano-level texture on the surface of the overbed board, so that the surface friction is increased and the patient is prevented from slipping; the electric anti-skid rods of the protection device are arranged at the edges of the overbed board, each anti-skid rod is driven by a micro servo motor, is wrapped with an anti-skid rubber sleeve, has a diameter of 30 mm and a lifting range of 0-100 mm. The system monitors the sensor data in real time, when it is detected that the patient has a tendency to slip, the master control unit controls the anti-skid rods at the corresponding positions to rise to an appropriate height to prevent the patient from slipping, and meanwhile supports the medical staff to manually control the lifting of the anti-skid rods.

[0079] The display module of the intelligent interaction interface is a 10.1-inch IPS touch screen embedded in the head of the overbed board, has a resolution of 1920x1080, is covered with Corning gorilla glass on the surface, supports glove operation and is convenient for the medical staff to view and operate under various conditions; the emergency stop button and the power switch of the physical control module are designed with silica gel sealing to prevent liquid from seeping in and ensure the safety of operation; the interaction interface is designed with a layered layout, the main interface displays the basic information of the patient and a trend chart of the measurement data, the secondary menu provides function options, a responsive layout is constructed by using Tailwind CSS, and the operation is convenient and intuitive; the web management end of the remote control platform is developed by using Vue.js+TypeScript, realizes data visualization by integrating ECharts, the medical staff can access it through a browser to view the patient data and the device status; the mobile application is developed by using the React Native framework, supports alarm pushing, real-time monitoring and remote operation, and is convenient for the medical staff to manage the device and view the patient information anytime and anywhere.

[0080] In summary, the overbed board for measuring the nutritional status data of a patient provided by the application realizes multiple functions such as patient transfer, body weight measurement, human body composition analysis, data management and self-adaptive adjustment through the cooperative work of various functional modules, has the advantages of convenient operation, accurate measurement, high safety, efficient data management and the like, meets the demand of the nutritional status monitoring of a critical patient in the process of hospitalization and transfer, and has good clinical application value.

Claims

1. An under-bed platform for measuring nutritional status data of a patient, characterized in that, The utility model relates to a kind of adaptive adjustable overbed board, including: overbed board body, body weight measuring device, human body composition analysis device, data processing system and adaptive adjustment system. The overbed board body adopts the structure of being convenient to fold and disassemble, including telescopic board body, folding mattress is built-in in board body, four corners are equipped with electric lifting mechanism and translation roller;Two groups of telescopic double-wavelength infrared scanning probes are installed below the folding mattress in the middle of overbed board, probe and bed mattress surface keep 0.5cm interval, probe is equipped with the rotating support of micro stepping motor drive, realize ±45 ° angle adjustment, adapt to the lumbar curve of patient of different body shape;Infrared positioning lamp is equipped with in the edge of overbed board, when patient lies, the third lumbar vertebra surface projection position is quickly positioned by projecting cross light spot, auxiliary probe accurate calibration scanning area; The body weight measuring device includes a force sensor array distributed on the surface of the overbed board, which is used to measure the body weight when transferring the patient, and simultaneously analyzes the body pressure distribution of the patient in real time to identify the pressure characteristics of the third lumbar vertebra corresponding area. The human body composition analysis device includes an electrode sheet installed on a specific position on the surface of the overbed board. After the patient lies down, the electrode sheet is driven by air pressure to adhere to the skin. Based on the bioelectric resistance principle, multiple measurements are performed through multiple electrode sheets to calculate the overall and local human body composition ratio. The data processing system is used to collect and access the hospital information system with the data such as body weight and human body composition. The adaptive adjustment system includes a perception layer, a control layer and an execution layer. The perception layer is used to obtain the body weight and body shape parameters of the patient. The control layer is used to process data and send instructions. The execution layer is used to adjust the state of the overbed board according to the instructions. The perception layer of the adaptive adjustment system includes a pressure sensor array and a body shape detection module. The pressure sensor array adopts a resistance strain type pressure sensor, which is uniformly distributed on the surface of the overbed board to form a matrix layout, and is used to obtain the body weight and body shape contour information of the patient. The body shape detection module includes an infrared depth camera or a laser radar, which obtains the body shape parameters of the patient through three-dimensional imaging technology, including at least height, shoulder width and hip width data.

2. The through deck for measuring patient nutritional status data according to claim 1, wherein: The control layer of the adaptive adjustment system includes a master control unit and a communication module. The master control unit selects a high-performance microcontroller, which is used to receive the data of the perception layer, run the adaptive adjustment algorithm and send control instructions to the execution layer. The communication module integrates Wi-Fi, Bluetooth or ZigBee communication module, which is used to interact with external devices.

3. The overbed table for measuring patient nutritional status data according to claim 1, wherein: ​ 4. The overbed table for measuring patient nutritional status data according to claim 1, wherein: The execution layer of the adaptive adjustment system includes a lifting device, an alarm device, and a multi-axis mechanical arm assembly; the lifting device adopts a lifting mechanism driven by an electric push rod or a servo motor, cooperates with a linear guide rail and a ball screw, and is used for dynamically adjusting the height of the table top according to the feedback of the pressure sensor; the alarm device includes an audible and visual alarm module, and is used for issuing an alarm when a pressure sensor fault, a folding angle exceeding a safety range, or a body weight exceeding an upper limit of load bearing is detected; the multi-axis mechanical arm assembly automatically adjusts the height, angle, and inclination of an infrared scanning probe according to the patient body size data obtained by the perception layer, and the mechanical arm assembly completes the probe position calibration within 2 seconds when the third lumbar vertebra is detected to be deviated by the infrared positioning lamp, so that the scanning area error is ensured to be not more than 3 mm.

5. The overbed table for measuring patient nutritional status data according to claim 1, wherein: The table top is provided with an automatic calibration system connected with the measurement sensor of the perception layer and the main control unit of the control layer, and is used for storing calibration parameters, setting a calibration period, and triggering a calibration process; specifically, the automatic calibration system includes a body calibration module, a body weight calibration module, and a human body composition analysis calibration module; The body calibration module adopts a high-precision laser range finder or a grating ruler as a reference, and is automatically calibrated once a week; when the measurement deviation exceeds ±1cm for multiple times in succession, abnormal calibration is triggered; The body weight calibration module adopts a standard weight as a reference, and is automatically calibrated once a month; when the measurement data deviates from the actual body weight by more than ±0.5kg, calibration is triggered; The human body composition analysis calibration module adopts a standard impedance to simulate the electrical impedance characteristics of human tissues; when the body fat rate fluctuation of the same test object exceeds ±2%, calibration is triggered.

6. The overbed table for measuring patient nutritional status data according to claim 1, wherein: The table top is provided with a body position and stability monitoring device, specifically including an anti-skid structure and a protection device; The anti-skid structure adopts medical-grade silica gel or anti-skid plastic with nano-level texture on the surface of the table top to increase the surface friction; The protection device is provided with liftable electric anti-skid rods on both side edges of the table top, each anti-skid rod is driven by a micro servo motor, the surface is wrapped with an anti-skid rubber sleeve with a diameter of 30mm and a lifting range of 0-100mm; The control logic is that the system monitors sensor data in real time, when it is detected that the patient has a tendency to slip, the main control unit controls the corresponding position anti-skid rod to rise to an appropriate height, and manual control is also supported.

7. The overbed table for measuring patient nutritional status data according to claim 1, wherein: The table top is provided with an intelligent interaction interface, specifically including a display module, a physical control module, an interaction interface design, and a remote control platform; The display module is embedded with a touch screen on the side of the table top or the head of the bed, with a resolution of 1920x1080, and the surface is covered with Corning Gorilla glass, supporting glove operation; The physical control module includes an emergency stop button and a power switch with a silica gel sealed design; The interaction interface design adopts a layered layout, the main interface displays patient basic information and a measurement data trend chart, a secondary menu provides function options, and Tailwind CSS is used to build a responsive layout; The remote control platform includes a web management terminal and a mobile application, the web management terminal is developed by using Vue.js+TypeScript, and data visualization is realized by integrating ECharts, and the mobile application adopts a React Native framework and supports alarm pushing, real-time monitoring and remote operation.

8. The overbed table for measuring patient nutritional status data according to claim 1, wherein: The human body composition analysis device synchronously completes human body composition measurement when a patient passes the bed plate by arranging multiple electrodes on the surface of the bed plate, and measurement data is introduced into a HIS system with patient information after being summarized by the data processing system.

9. The overbed table for measuring patient nutritional status data according to claim 1, wherein: The bed plate body adopts a telescopic structure, and the height can be adjusted up and down, and rollers are arranged at the head and tail of the bed to realize left-right translation, so that the patient can pass the bed conveniently.

10. The overbed table for measuring patient nutritional status data according to claim 1, wherein: The lifting device receives pressure data fed back by the pressure sensor in real time during the adjusting process, and dynamically adjusts the sensitivity of the pressure sensor, so as to adapt to the measurement requirements of patients with different weights.

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