Control system and method for guiding and monitoring sickbed to turn over based on pulmonary electrical impedance tomography

Abstract

The invention belongs to the technical field of medical instruments, and particularly relates to a control system and method for guiding a monitoring sickbed to turn over based on pulmonary electrical impedance tomography, and the system comprises EIT equipment, an EIT information collection unit, an automatic turning-over parameter determination unit, a control unit and a monitoring sickbed; the EIT information acquisition unit acquires lung ventilation or perfusion state data provided by EIT equipment in real time; the automatic turn-over parameter determination unit compares the data with a preset threshold range; if the data is within the threshold range, the system keeps the original turning parameters; if the data exceed the threshold range, the system adjusts the turning parameters to achieve the positive treatment effect; the control unit instructs the monitoring sickbed to carry out corresponding body position change operation according to the adjusted turning-over parameters; by means of the mode, the system can dynamically adjust the body position of a patient, lung ventilation and perfusion are optimized, and then the breathing condition of the patient is improved; therefore, turning over of the sickbed is more accurate and effective, and the treatment effect of the patient can be improved.

Description

Technical Field

[0001] The present application belongs to the field of medical device technology, and more specifically, to a control system and method for turning over a intensive care bed guided by pulmonary electrical impedance imaging. Background Art

[0002] Pulmonary electrical impedance tomography (EIT) is currently the only device that can achieve real-time dynamic monitoring of patients' pulmonary ventilation and perfusion at the bedside. It measures the changes in body surface voltage by placing electrodes on the surface of the human chest and injecting a weak safe current. Through the corresponding imaging algorithm, it can dynamically display the patient's pulmonary ventilation distribution and blood perfusion status in real time, thus achieving dynamic monitoring at the bedside. The electrical impedance imaging technology has been proposed for three or four decades. After years of technological iteration, the clinical application of pulmonary electrical impedance tomography (EIT) has reached a mature stage, which has provided a feasible basis for this invention.

[0003] Turning over can improve the pulmonary ventilation status of patients with respiratory disorders, especially for gravity-dependent diseases such as acute respiratory distress syndrome (ARDS). Changing the distribution of lung gravity can achieve good results; for example: When ARDS patients lie flat, their lungs are affected by lesions such as phlegm and fluid accumulation and pressure. Alveolar collapse occurs on the dorsal side of the left and right lungs. The alveoli in these collapsed areas lose their function of exchanging air and blood, causing the patients to be in a state of low ventilation and low perfusion. They have difficulty breathing, and if enough alveoli collapse, they are very likely to die suddenly from respiratory failure. When the patient turns to the right side, the left chest rises, the space for blood-oxygen gas exchange in the left lung increases, and the ventilation capacity increases, and the respiratory state of the patient's left lung changes positively. When the patient turns from the right side back to the supine position, the collapsed alveoli in the left lung have been partially recruited, the ventilation capacity of the left lung has increased, and the patient's respiratory state has changed positively; when the patient turns to the left side, the right chest rises, the space used for blood, oxygen and gas exchange in the right lung increases, the collapsed alveoli in the right lung have been recruited, the ventilation capacity has increased, and the patient's right lung respiratory state has further changed positively; when the patient turns from the left side back to the supine position, after completing a turning cycle, the collapsed alveoli in both lungs have been partially recruited, the ventilation and perfusion capacity of both lungs have increased, and the patient's respiratory state has changed positively.

[0004] Therefore, how to combine pulmonary electrical impedance imaging to adjust the patient's body position and thereby change the lung gravity distribution so that the patient's breathing state changes positively is a technical problem that needs to be solved. Summary of the invention

[0005] The present invention provides a control system and method for turning over a intensive care bed guided by pulmonary impedance imaging, and intends to adjust the patient's body position in combination with data from a pulmonary impedance imager, thereby changing the lung gravity distribution and causing a positive change in the patient's breathing state.

[0006] A control system for turning over a ICU bed guided by pulmonary electrical impedance imaging, comprising an EIT device, an EIT information acquisition unit, an automatic turning over parameter determination unit, a control unit and a ICU bed; The EIT information acquisition unit is used to acquire information related to the lung ventilation status in the EIT device; The automatic turning parameter determination unit compares the information related to the pulmonary ventilation or perfusion state with a threshold range, and if it is within the threshold range, maintains the original automatic turning parameter; if it is not within the preset threshold range, changes the automatic turning parameter for the purpose of positive chemotherapy; the changing the automatic turning parameter for the purpose of positive chemotherapy means changing the automatic turning parameter for the purpose of improving the pulmonary ventilation or perfusion state; The control unit controls the intensive care bed to execute the automatic turning parameter based on the determined automatic turning parameter.

[0007] The present invention proposes a control system for turning over a monitored bed based on pulmonary electrical impedance imaging guidance, comprising an EIT device, an EIT information acquisition unit, an automatic turning over parameter determination unit, a control unit and a monitored bed; the EIT information acquisition unit acquires lung ventilation or perfusion status data provided by the EIT device in real time; then, the automatic turning over parameter determination unit compares these data with a preset threshold range; if the data is within the threshold range, the system maintains the original turning over parameters; if the data exceeds the threshold range, the system adjusts the turning over parameters to achieve a positive treatment effect, that is, to improve the lung ventilation or perfusion status; the control unit instructs the monitored bed to perform corresponding position change operations according to the adjusted turning over parameters; in this way, the system can dynamically adjust the patient's position, optimize lung ventilation or perfusion, and thus improve the patient's breathing condition; therefore, the dynamic adjustment method based on EIT data makes bed turning over more accurate and effective, which helps to improve the patient's treatment effect.

[0008] Preferably, the information related to the lung ventilation status in the EIT device includes: information related to the lung ventilation or perfusion status provided by the main view of the EIT device, information related to the lung ventilation or perfusion status provided by the △EELI diagram of the EIT device, information related to the lung ventilation or perfusion status in the trend diagram provided by the EIT device, information related to the lung ventilation or perfusion status in the analysis view provided by the EIT device, and information related to the lung ventilation or perfusion status provided by the LHM view provided by the EIT device, or a combination of the above.

[0009] Preferably, the EIT information collection unit collects information by artificial vision information collection, machine vision information collection, cable connection information collection, or by integrating the monitoring bed with the EIT.

[0010] Preferably, the automatic turning over parameters include: back lifting angle, leg lifting angle, left side turning angle of the bed, right side turning angle of the bed, front tilt angle of the bed, rear tilt angle of the bed and automatic turning over cycle time; the automatic turning over cycle time includes: bed lying time, left side turning time of the bed, right side turning time of the bed, front tilt time of the bed and rear tilt time of the bed.

[0011] Preferably, it also includes a human-computer interaction interface, and the human-computer interaction interface is used to input the automatic turning over parameters.

[0012] The control method for turning over a intensive care bed guided by pulmonary electrical impedance imaging is implemented based on the control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging of the present invention, and comprises the following steps: Step 1: Acquire information related to lung ventilation or perfusion status in the EIT device based on the EIT information acquisition unit; Step 2: The automatic turning parameter determination unit selects information related to the pulmonary ventilation or perfusion state at any time point as a reference parameter based on the acquired information related to the pulmonary ventilation or perfusion state; Step 3: The automatic turning parameter determination unit sets the turning parameters based on the reference parameters in order to maximize the positive change of the patient; Step 4: Transmit the set automatic turning parameters to the control unit; Step 5: Controlling the intensive care bed to execute the automatic turning parameters based on the control unit; Step 6: Based on the automatic turning cycle time set in the automatic turning parameter, the control unit controls the intensive care bed to execute a cycle, and in the automatic turning cycle, detects changes in information related to the lung ventilation state in the EIT device; Step 7: If the change of information related to lung ventilation or perfusion status is within the threshold range, the automatic turning parameters will not be changed; if the change of information related to lung ventilation or perfusion status is not within the threshold range, the automatic turning parameters will be changed for the purpose of positive therapy; changing the automatic turning parameters for the purpose of positive therapy means changing the automatic turning parameters for the purpose of improving lung ventilation or perfusion status.

[0013] Preferably, the EIT information acquisition unit in step 1 manually acquires information related to the pulmonary ventilation or perfusion state in the EIT device; When the information related to the pulmonary ventilation or perfusion status in the EIT device is obtained manually: In step 2, information related to the pulmonary ventilation or perfusion state at any time point is manually selected as a reference parameter; In step 3, the automatic turning parameters are set through the human-computer interaction interface based on medical experience to maximize the positive change of the patient; In step 6, the changes of information related to the ventilation or perfusion state of the lungs in the EIT device during the automatic cycle are obtained manually; In step 7, it is determined whether the change is within the threshold based on manual method combined with medical knowledge.

[0014] Preferably, the EIT information collection unit in step 1 is implemented in an automatic collection manner, wherein the automatic collection is machine vision information collection or cable connection information collection or information collection is implemented in a manner where a monitoring bed and EIT are integrated into one; When the automatic acquisition is used to obtain information related to the pulmonary ventilation or perfusion status in the EIT device: In step 2, information related to the pulmonary ventilation or perfusion state at any preset time node is used as a reference parameter; In step 3, all automatic turning parameters that positively change the ventilation or perfusion state of the lungs are traversed, and the automatic turning parameter with the largest positive change is used as the set automatic turning parameter; In step 6, changes in information related to the pulmonary ventilation or perfusion status in the EIT device during the automatic cycle are obtained by automatic acquisition; In step 7, it is determined whether the change of the information related to the pulmonary ventilation or perfusion state is within the threshold range based on the preset threshold range.

[0015] Preferably, the threshold range is as follows: ; Where: Represents information related to the lung ventilation status at the i-th moment; Indicates reference parameters; Indicates the allowable deviation; when When it is 1, it means the data is normal and there is no need to change the automatic turning parameters; when When it is 0, it means the data is abnormal and the automatic turning parameters need to be changed.

[0016] The beneficial effects of the present invention include: The present invention proposes a control system for turning over a monitored bed based on pulmonary electrical impedance imaging guidance, comprising an EIT device, an EIT information acquisition unit, an automatic turning over parameter determination unit, a control unit and a monitored bed; the EIT information acquisition unit acquires lung ventilation or perfusion status data provided by the EIT device in real time; then, the automatic turning over parameter determination unit compares these data with a preset threshold range; if the data is within the threshold range, the system maintains the original turning over parameters; if the data exceeds the threshold range, the system adjusts the turning over parameters to achieve a positive treatment effect, that is, to improve the lung ventilation or perfusion status; the control unit instructs the monitored bed to perform corresponding position change operations according to the adjusted turning over parameters; in this way, the system can dynamically adjust the patient's position, optimize lung ventilation or perfusion, and thus improve the patient's breathing condition; therefore, the dynamic adjustment method based on EIT data makes bed turning over more accurate and effective, which helps to improve the patient's treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] Figure 1 A schematic diagram of a system architecture provided by an embodiment of the present invention.

[0019] Figure 2 This is a front view of the EIT device provided by an embodiment of the present invention.

[0020] Figure 3 This is the ΔEELI interface of the EIT device provided in the embodiment of the present invention.

[0021] Figure 4 A trend chart interface of an EIT device provided in an embodiment of the present invention.

[0022] Figure 5 This is an analysis view interface of an EIT device provided in an embodiment of the present invention.

[0023] Figure 6 This is a cross-section of an LHM view of an EIT device provided by an embodiment of the present invention.

[0024] Figure 7 A schematic diagram of an operation interface provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0026] See also Figure 1 As shown, the best embodiment of the present invention is further described; Example 1

[0027] A control system for turning over a ICU bed guided by pulmonary electrical impedance imaging, comprising an EIT device, an EIT information acquisition unit, an automatic turning over parameter determination unit, a control unit and a ICU bed; The EIT information acquisition unit is used to acquire information related to the ventilation or perfusion status of the lungs in the EIT device; The automatic turning parameter determination unit compares the information related to the pulmonary ventilation or perfusion state with a threshold range, and if it is within the threshold range, maintains the original automatic turning parameter; if it is not within the preset threshold range, changes the automatic turning parameter for the purpose of positive chemotherapy; the changing the automatic turning parameter for the purpose of positive chemotherapy means changing the automatic turning parameter for the purpose of improving the pulmonary ventilation state; The control unit controls the intensive care bed to execute the automatic turning parameter based on the determined automatic turning parameter.

[0028] As a possible implementation of this embodiment, the information related to the pulmonary ventilation or perfusion state in the EIT device includes: information related to the pulmonary ventilation or perfusion state provided by the main view of the EIT device, information related to the pulmonary ventilation or perfusion state provided by the ΔEELI diagram of the EIT device, information related to the pulmonary ventilation or perfusion state in the trend diagram provided by the EIT device, information related to the pulmonary ventilation or perfusion state in the analysis view provided by the EIT device, and information related to the pulmonary ventilation or perfusion state provided by the LHM view provided by the EIT device, or a combination of the above; It should be noted that: with the development of EIT technology, the patient's lung ventilation and perfusion status information provided by the new EIT view is also within the technical coverage of the present invention.

[0029] The main view of the EIT device provides real-time dynamics, status and curves of lung ventilation and perfusion, tidal frequency, ventilation center and other view interfaces. Based on the information of any of the interface diagrams, we can understand the state of lung ventilation. The ΔEELI graph of the EIT device provides the impedance change from the start of inspiration to the start of the next breath in a breathing cycle, that is, the impedance change value from the end of one exhalation to the end of the next exhalation, reflecting the change of the residual air volume in the lungs at the end of exhalation over a period of time; The trend graph provided by the EIT device provides a qualitative and quantitative reflection of the results of changes in lung ventilation or lung perfusion at any two time points in the monitoring area, and observes the distribution and changes of lung ventilation and perfusion in the lungs over a period of time; The analysis view provided by the EIT device is a ventilator PEEP titration view; the LHM view provided by the EIT device provides MI-low frequency and high frequency matching index, DI-low frequency missing index, SI-high frequency missing index, GI-overall heterogeneity index, etc.

[0030] The view information of the above five EIT devices is five different view interfaces provided for different clinical application focuses. However, for guiding the automatic turning parameter setting of the intensive care bed, the essential basis for determining the automatic turning parameters of the present invention is to compare the difference between the reference state that EIT can provide and the change of the selected existing state, that is, the difference; the turning parameters for the positive treatment of the current patient are selected according to the change of the difference and provided to the control unit.

[0031] It should be pointed out here that the positive treatment referred to in the present invention does not refer to positive and negative values. For different diseases or patients, the values ​​described in the images, curves, and numerical values ​​all have positive and negative values, and the positive and negative values ​​here may be positive treatments for patients, that is, positive improvements; for example, for ARDS patients, a positive increase in lung ventilation is a positive improvement for the patient, but excessive lung ventilation will cause lung damage, and a negative increase in lung ventilation will become a positive improvement in this treatment stage; for another example, for a specific parameter, as long as it progresses in one direction, it is a positive improvement for the patient. For example, the ventilation center CoV, only if its data grows positively, indicating that the ventilation from the ventral side to the dorsal side is more uniform, it only grows positively, and it is a positive improvement for the patient; therefore, the positive treatment described in the present invention does not refer to positive and negative values, but refers to a treatment method that is beneficial to the current state of the patient.

[0032] As a possible implementation of this embodiment, the EIT information collection unit collects information by artificial vision information collection, machine vision information collection, cable connection information collection, or by integrating a monitoring bed with the EIT.

[0033] Regarding the description of the above four collection methods, the best method at present is to use manual method or machine vision method for collection. The reason is that the current EIT device has no external port. If communication with the EIT device is required, the port of the EIT device can only be increased to obtain data. To improve it, it needs to be improved by the manufacturer, which cannot be applied to clinical practice in a timely manner, and will also increase the manufacturing cost of the EIT device. The cost increased by using an integrated method will be even higher; therefore, the cost of using manual or machine vision is the lowest and easy to implement; and reading the value on the screen by machine vision is a conventional technical means, so the present invention will not repeat it; it only needs to install a camera, and the camera is facing the screen of the EIT device to achieve it, and how to set the algorithm to read the value is a conventional technical means in this field, so it will not be repeated in the present invention.

[0034] As a possible implementation method of this embodiment, the automatic turning parameters include: back lifting angle, leg lifting angle, left side turning angle of the bed, right side turning angle of the bed, front tilt angle of the bed, rear tilt angle of the bed and automatic turning cycle time; the automatic turning cycle time includes: bed lying time, left side turning time of the bed, right side turning time of the bed, front tilt time of the bed and rear tilt time of the bed.

[0035] As a possible implementation manner of this embodiment, a human-computer interaction interface is also included, and the human-computer interaction interface is used to input the automatic turning over parameters.

[0036] The present invention proposes a control system for turning over a monitored bed based on pulmonary electrical impedance imaging guidance, comprising an EIT device, an EIT information acquisition unit, an automatic turning over parameter determination unit, a control unit and a monitored bed; the EIT information acquisition unit acquires lung ventilation status data provided by the EIT device in real time; then, the automatic turning over parameter determination unit compares these data with a preset threshold range; if the data is within the threshold range, the system maintains the original turning over parameters; if the data exceeds the threshold range, the system adjusts the turning over parameters to achieve a positive treatment effect, that is, improves the lung ventilation state; the control unit instructs the monitored bed to perform corresponding position change operations according to the adjusted turning over parameters; in this way, the system can dynamically adjust the patient's position, optimize lung ventilation, and thereby improve the patient's breathing condition; therefore, the dynamic adjustment method based on EIT data makes bed turning over more accurate and effective, which helps to improve the patient's treatment effect and comfort.

[0037] Example 2

[0038] In this embodiment, the main view information of the EIT device is mainly used, and this embodiment is described in detail through manual observation and adjustment; The main view information of the EIT device includes: ventilation and perfusion impedance dynamic diagram, ventilation and perfusion impedance state diagram, ventilation and perfusion impedance reference diagram, global lung ventilation impedance curve, global lung perfusion impedance curve, ventilation impedance curve in each quadrant state curve, ventilation and perfusion impedance in each quadrant percentage, tidal frequency, ventilation center, reference point, etc. The dynamic images of lung ventilation (LPB) and perfusion (HPB) impedance are real-time images of lung ventilation and perfusion, which reflect the respiratory swing of the patient during the respiratory cycle. The pulmonary ventilation (LPB) impedance state diagram is a state diagram of the pulmonary ventilation of a patient in one respiratory cycle. The pulmonary perfusion (HPB) impedance state diagram is a state diagram of the average pulmonary blood perfusion impedance value within 5 seconds; The global pulmonary ventilation impedance curve and the global pulmonary perfusion impedance curve are curves showing the impedance changes of pulmonary ventilation and pulmonary perfusion in the whole lung domain during the monitoring time. The local pulmonary ventilation impedance curve is a curve chart showing the change of pulmonary ventilation impedance in the local area of ​​the lung, i.e., in the 1st to 4th quadrants during the monitoring time. The 1st to 4th quadrants can be divided horizontally from the ventral side to the dorsal side, or divided into four equal parts up, down, left, and right as shown in the figure. The percentage of local lung ventilation and lung perfusion is the percentage of the local area of ​​the lung, that is, the percentage of the respective area in the 1st to 4th quadrants; Ventilation center reflects the uniformity of lung ventilation in the ventral and dorsal directions. The larger the ratio, the more ventilation there is in the dorsal part of the lung. The tidal frequency is the respiratory rate; The cut-off frequency is the number of video frames displayed per minute.

[0039] The control method for turning over a intensive care bed guided by pulmonary electrical impedance imaging is implemented based on the control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging of the present invention, and comprises the following steps: Step 1: Obtain the main view information of the EIT device based on the EIT information acquisition unit. Figure 2 It can be seen that the ventilation percentage of the second quadrant of the main view is used as a monitoring reference; Step 2: The ventilation rate of the second quadrant is 12% as the reference parameter. At this time, the patient is in a supine state, and the angle parameters of the monitoring bed are in the initial state, that is, left and right side turning 0 degrees, back lifting 0 degrees, leg lifting 0 degrees, and front and back tilt 0 degrees; Step 3: Since the second quadrant reflects the lack of ventilation of the left ventral lung, according to the theory of turning over to change the patient's respiratory disorder, it should be turned to the right side. The medical staff adjusted the parameters of the right turning angle of the intensive care bed: Assuming that when the right turning is adjusted to 25 degrees, the back is raised to 30 degrees, and the leg is raised to 15 degrees, the ventilation proportion of the second quadrant rises to 20%. If these parameters are changed again, the ventilation proportion will be lower than 20%, indicating that the maximum value of the positive change in the patient's breathing can be 20% by changing the patient's turning parameters. According to the patient's condition, at this time, the automatic turning advantage parameters of S2 can be set as: right turning 25 degrees, back raising 30 degrees, leg raising 15 degrees, and the automatic turning cycle time is: lying flat for 10 minutes, turning to the right side for 30 minutes, returning to the supine state for 10 minutes, and turning to the left side at 0 degrees; Step 4: Enter the right turn 25 degrees, back lift 30 degrees, leg lift 15 degrees, and automatic turning cycle time as follows: lying flat for 10 minutes, turning right for 30 minutes, returning to lying flat for 10 minutes, and turning left for 0 degrees into the human-machine dialogue page of the intensive care bed; the human-machine dialogue page transmits the input automatic turning parameters to the control unit; Step 5: Controlling the intensive care bed to execute the automatic turning parameters based on the control unit; Step 6: Based on the automatic turning cycle time set in the automatic turning parameter, the control unit controls the intensive care bed to execute the cycle, and during the automatic turning cycle, manually observes the change of the ventilation proportion of the second quadrant of the EIT main view; Step 7: If the change of the information related to the lung ventilation status is within the threshold range, the automatic turning parameter is not changed; if the change of the information related to the lung ventilation status is not within the threshold range (based on manual methods combined with knowledge in the medical field to determine whether the change is within the threshold), the automatic turning parameter is changed for the purpose of positive treatment; the change of the automatic turning parameter for the purpose of positive treatment means changing the automatic turning parameter for the purpose of improving the lung ventilation status.

[0040] Example 3

[0041] This embodiment is also described in detail based on the main view information of the EIT device; The control method for turning over a intensive care bed guided by pulmonary electrical impedance imaging is implemented based on the control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging of the present invention, and comprises the following steps: Step 1: Acquire information related to the pulmonary ventilation status in the EIT device based on the EIT information acquisition unit; the EIT information acquisition unit is implemented in an automatic acquisition manner, and the automatic acquisition is achieved by machine vision information acquisition or cable connection information acquisition or by integrating the monitoring bed and the EIT into one; By automatically collecting EIT main view information, the ventilation percentage of the second quadrant of the main view is used as a monitoring reference; Step 2: The ventilation rate of the second quadrant is 12% as the reference parameter. At this time, the patient is lying flat, and the angle parameters of the monitoring bed are in the initial state, that is, 0 degrees for left and right side turning, 0 degrees for back lifting, 0 degrees for legs lifting, and 0 degrees for front and back tilting; Step 3: Since the second quadrant reflects the lack of ventilation of the left ventral lung, according to the theory that turning over can change the patient's respiratory disorder, it should be turning over to the right side. The medical staff adjusts the monitoring bed to select the right turning angle parameters: Assuming that the doctor adjusts the angle of the monitoring bed to turn right 25 degrees, back rise 30 degrees, and leg rise 15 degrees, the ventilation proportion of the second quadrant rises to 20%. If these parameters are changed again, the ventilation proportion will be lower than 20%, indicating that the above turning angle parameters are optimal. At this time, the automatic turning advantage parameters of S2 can be set as: right turn 25 degrees, back rise 30 degrees, leg rise 15 degrees, and the automatic turning cycle time is: lying flat for 10 minutes, turning right for 30 minutes, returning to lying flat for 10 minutes, and turning left for 0 degrees; Step 4: Transmit the set automatic turning parameters to the control unit; Description of cyclic automatic turning: There are two ways to turn ARDS patients: turning the patient face down in the prone position and turning the patient face up in the supine position; when the alveoli in the 3rd and 4th quadrants of the patient collapse and ventilation is insufficient, the patient is often turned in the prone position under deep sedation, that is, the patient is in the prone position with his head down and his back up for 8 to 12 hours a day or longer, and severe cases require mechanical ventilation; in this embodiment, Figure 2 The patient shown has a second quadrant respiratory disorder, which is a respiratory disorder on the ventral side of the lungs, so the patient is facing up and is turned over cyclically without sedation; the turning cycle time setting of the cyclic automatic turning is applicable to both prone and supine turning; when turning over in the prone position, the lifting angles of the patient's back and legs are both 0 degrees. This example shows that the patient is turning over in the supine position with his face up, so the lifting angles of the back and legs can be set; Step 5: Controlling the intensive care bed to execute the automatic turning parameters based on the control unit; Step 6: Based on the automatic turning cycle time set in the automatic turning parameter, the control unit controls the intensive care bed to execute a cycle, and in the automatic turning cycle, automatically collects the ventilation ratio change of the second quadrant of the EIT main view; Step 7: if the change of the information related to the pulmonary ventilation status is within the threshold range, the automatic turning parameter is not changed; if the change of the information related to the pulmonary ventilation status is not within the threshold range, the automatic turning parameter is changed for the purpose of positive treatment; the changing of the automatic turning parameter for the purpose of positive treatment means changing the automatic turning parameter for the purpose of improving the pulmonary ventilation status; The threshold ranges are as follows: ; Where: Represents information related to the lung ventilation status at the i-th moment; Indicates reference parameters; Indicates the allowable deviation; when When it is 1, it means the data is normal and there is no need to change the automatic turning parameters; when When it is 0, it means the data is abnormal and the automatic turning parameters need to be changed; like The value of is 20, is 1; then if ; It means that the ventilation ratio is lower than the lowest value of the threshold range, and the monitoring bed needs to increase the right turning parameter. Assuming that the built-in side turning angle of the monitoring bed is 2 degrees per step, the monitoring bed automatically adjusts the turning parameters as follows: right turning 27 degrees, back lifting 30 degrees, leg lifting 15 degrees, and the automatic turning cycle time is: lying flat for 10 minutes, right turning for 30 minutes, returning to the flat state for 10 minutes, and left turning 0 degrees.

[0042] like , indicating that the ventilation ratio is higher than the preset value of 20%, and the monitoring bed needs to reduce the right turning parameters. Assuming that the built-in side turning angle of the monitoring bed is 2 degrees per step, the monitoring bed automatically adjusts the turning parameters as follows: right turning 23 degrees, back lifting 30 degrees, leg lifting 15 degrees, and the automatic turning cycle time is: lying flat for 10 minutes, right turning for 30 minutes, returning to the flat state for 10 minutes, and left turning 0 degrees.

[0043] Based on the above, it can be known that when the rollover angle is automatically adjusted, the setting is based on the positive rotation in the preset, and how to set its rollover rule is based on the common knowledge in the medical field, so it will not be repeated in the present invention. For example, the above mentioned In the example of when, how to preset the turning rule so that when it is detected that the change of the information related to the lung ventilation status is not within the threshold range, the corresponding turning adjustment is made is a conventional technical means in the field, so it will not be repeated in the present invention.

[0044] Of course, the present embodiment also includes automatic alarm. During the cycle, when it is detected that the ventilation proportion of the second quadrant changes to less than 12%, it means that the automatic turning over has developed in a direction that is not conducive to changing the patient's breathing disorder, and medical staff needs to be asked to deal with it; therefore, the medical staff is reminded by automatic alarm, wherein the automatic alarm adopts the form of sound and light alarm, and it is only necessary to electrically connect the sound and light alarm module to the control unit, and obtain the above-mentioned information when it is less than 12% through the control unit to control the sound and light alarm module to work.

[0045] Example 4

[0046] This embodiment guides the intensive care bed to automatically turn over based on the △EELI graph interface information of EIT. The process of this embodiment is the same as that of Embodiment 2 and Embodiment 3. The only difference is that the collected data and the compared data are different, that is, the set threshold value corresponds to the collected data. The △EELI graph of EIT provides the impedance change from the beginning of inspiration to the beginning of the next inspiration in a respiratory cycle, that is, the impedance change value from the end of one exhalation to the end of the next exhalation, reflecting the change of the residual air volume in the lungs at the end of exhalation over a period of time. This change is Figure 3 The difference between the lung impedance at the end of expiration at point C and the lung impedance at the end of expiration at point Ref; Different from the main view reflecting multiple EIT information of the patient, the ΔEELI view reflects the end-of-respiration state. In clinical applications, it is only necessary to compare the difference between point C and point Ref, which is relatively simple. The operation steps in clinical applications are the same as those in Example 1 and will not be repeated. It should be noted that if this difference is positive, it means an increase, and the EELI graph is lake blue. If it is negative, the EELI graph is orange, which means a decrease. There is no absolute good or bad in its positive or negative. For example, for patients with COPD, we hope that their hyperventilation can be reduced, so a negative value is good at this time. But for patients with lung collapse, a positive value is good, reflecting that the ventilation volume has increased. The selection of point C is made according to clinical decisions. For example, if the treatment time is around 11 o'clock, point C is selected at 11 o'clock.

[0047] Therefore, based on the above description, applying the data of Example 4 to the processing flow of Example 2 or Example 3 is a conventional technical means in the field, so this embodiment will not be repeated.

[0048] Example 5

[0049] This embodiment guides the intensive care bed to automatically turn over based on the trend chart interface information of EIT; the process of this embodiment 5 is the same as that of embodiment 2 and embodiment 3, and the only difference is that the collected data and the compared data are different, that is, the set threshold value corresponds to the collected data; The trend graph of EIT provides qualitative and quantitative results reflecting the changes in pulmonary ventilation or pulmonary perfusion at any two time points in the monitoring area; observes the distribution and changes of pulmonary ventilation and perfusion in the lungs over a period of time, which is different from the EELI graph reflecting the positive end-expiratory pressure. This reflects the distribution and changes of pulmonary ventilation and perfusion in the respiratory cycle; in clinical applications, only the difference between point C and point Ref needs to be compared, which is relatively simple. The operating steps in clinical applications are the same as those in Example 1 and will not be repeated.

[0050] See also Figure 4The trend view has three groups of views. The first one is the ventilation and perfusion difference change graph. That is, the LPB change C vs Ref, which is the image that appears when the LPB value of point C is subtracted from the LPB value of point Ref. It can be seen that the ventilation conditions in areas 1, 2, 3, and 4 are all orange and are decreasing. Only a small blue block appears in the middle of areas 1 and 2. The ventilation condition in this area is positively increasing. The following HPB change C vs Ref, also uses the HPB value of point C to subtract the HPB value of point Ref, reflecting that the perfusion condition has a weak orange block in area 1, and there is no change in other areas, indicating that in area 1, blood perfusion is weakened, and there is no change in other areas. The middle is the LPB and HPB graph of point Ref, and the one on the right is point C. The time interval scale between the two points is 10 minutes.

[0051] The trend view is to select a reference point to compare the breathing. It is different from the EELI chart that reflects the positive end-expiratory pressure. This chart reflects the situation of the entire respiratory cycle, such as Figure 4 As shown, the ventilation conditions of zones 2 and 4 at point C are worse, while the ventilation conditions of zones 2 and 4 of LPB at the reference point Ref are better. Figure 4 There are two trend curves. The blue one on top is for pulmonary ventilation. It can be seen that the reference point Ref is downward to point C, reflecting that the ventilation condition at point Ref is better than that at point C. The red one on the bottom is for pulmonary perfusion, which is the blood flow condition and reflects the pulmonary hypertension condition. The blood perfusion between the two points can be compared, and Ref is more sufficient than C. These two curves can also monitor the air-to-blood ratio, that is, the V / Q value. Since the tidal volume V value of pulmonary ventilation and the blood flow Q value of pulmonary perfusion are proportional to the L (PB) resistance value and the H (PB) resistance value of EIT, L / H=V / Q*K, where K is verified based on clinical data.

[0052] Therefore, based on the above description, applying the data of Example 5 to the processing flow of Example 2 or Example 3 is a conventional technical means in the field, so this embodiment will not be repeated.

[0053] Example 6

[0054] Based on the EIT analysis view interface information, the monitoring bed is guided to automatically turn over. The process of this embodiment 6 is the same as that of the embodiments 2 and 3. The only difference is that the collected data and the compared data are different, that is, the set threshold value corresponds to the collected data; See also Figure 5 The EIT analysis view provides a ventilator PEEP titration view, which is a view section that assists in adjusting the ventilator to select the optimal PEEP value for titration. In the combined application scenario of the ventilator and the monitoring bed turning over, this view interface can be used to guide the automatic turning of the monitoring bed with EIT.

[0055] In clinical applications, the difference in PEEP points is compared, and the operation steps are the same as those in Example 2 or Example 3, and will not be repeated.

[0056] Example 7

[0057] The LHM view interface information of the EIT guides the intensive care bed to automatically turn over. The process of this embodiment 7 is the same as that of the embodiments 2 and 3, and the only difference is that the collected data and the compared data are different, that is, the set threshold value corresponds to the collected data; See also Figure 6 The LHM view of EIT provides a distribution status view of the changes in various special indexes. The main indexes it contains are: MI--low-frequency and high-frequency matching index, DI--low-frequency missing index, SI--high-frequency missing index, L--pulmonary ventilation, H--pulmonary perfusion, L / H--air-blood flow ratio, GI--overall heterogeneity index, CoV--ventilation center, etc.

[0058] In clinical applications, the changes of each index are compared, and the operation steps are the same as those in Example 2 or Example 3, and will not be repeated.

[0059] As an implementation of any of the above embodiments, the intensive care bed of the present invention adopts the intensive care bed of Chengdu Jiangxue Medical Equipment Co., Ltd., which is provided with an operation interface, and the intensive care bed can realize automatic control of the bed based on the automatic turning parameters of the present invention, wherein the operation interface is as follows: Figure 7 As shown, Figure 7 The control panel is the operating interface of the present invention, through which corresponding automatic turning parameters can be input, and then the control unit controls the corresponding driving device to drive the bed to turn over accordingly. Since the bed is a prior art, it will not be described in detail in this application.

[0060] In any of the above embodiments, the EIT view is the view of the EIT product of Beijing Huarui Boshi Medical Imaging Co., Ltd. If the EIT product view interface of other different companies is used, it may be different, but the EIT monitoring method is the same and there is no conflict with the present invention.

[0061] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A control system for turning over a intensive care bed guided by pulmonary impedance imaging, characterized in that: It includes EIT equipment, EIT information collection unit, automatic turning parameter determination unit, control unit and monitoring bed; The EIT information acquisition unit is used to acquire information related to the ventilation or perfusion status of the lungs in the EIT device; The automatic turning parameter determination unit compares the information related to the pulmonary ventilation or perfusion state with a threshold range, and if the information is within the threshold range, maintains the original automatic turning parameter; If it is not within the preset threshold range, the automatic turning parameter is changed for the purpose of positive chemotherapy; the automatic turning parameter is changed for the purpose of positive chemotherapy, which means that the automatic turning parameter is changed for the purpose of improving the ventilation or perfusion state of the lungs; The control unit controls the intensive care bed to execute the automatic turning parameter based on the determined automatic turning parameter.

2. The control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to claim 1 is characterized in that: The information related to the pulmonary ventilation or perfusion state in the EIT device includes: information related to the pulmonary ventilation or perfusion state provided by the main view of the EIT device, information related to the pulmonary ventilation or perfusion state provided by the ΔEELI diagram of the EIT device, information related to the pulmonary ventilation or perfusion state in the trend diagram provided by the EIT device, information related to the pulmonary ventilation or perfusion state in the analysis view provided by the EIT device, and information related to the pulmonary ventilation or perfusion state provided by the LHM view provided by the EIT device, or a combination of the above.

3. The control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to claim 1, characterized in that: The EIT information collection unit collects information by artificial vision information collection, machine vision information collection, cable connection information collection, or by integrating the monitoring bed with the EIT.

4. The control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to claim 1, characterized in that: The automatic turning over parameters include: back lifting angle, leg lifting angle, left side turning angle of the bed, right side turning angle of the bed, front tilt angle of the bed, rear tilt angle of the bed and automatic turning over cycle time; the automatic turning over cycle time includes: bed lying time, left side turning time of the bed, right side turning time of the bed, front tilt time of the bed and rear tilt time of the bed.

5. The control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to claim 1, characterized in that: It also includes a human-computer interaction interface, which is used to input the automatic turning over parameters.

6. A control method for turning over a intensive care bed based on pulmonary electrical impedance imaging, characterized in that: The control system for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to any one of claims 1 to 5 is implemented, comprising the following steps: Step 1: Acquire information related to lung ventilation or perfusion status in the EIT device based on the EIT information acquisition unit; Step 2: The automatic turning parameter determination unit selects information related to the pulmonary ventilation or perfusion state at any time point as a reference parameter based on the acquired information related to the pulmonary ventilation or perfusion state; Step 3: The automatic turning parameter determination unit sets the turning parameters based on the reference parameters in order to maximize the positive change of the patient; Step 4: Transmit the set automatic turning parameters to the control unit; Step 5: Controlling the intensive care bed to execute the automatic turning parameters based on the control unit; Step 6: Based on the automatic turning cycle time set in the automatic turning parameter, the control unit controls the intensive care bed to execute a cycle, and in the automatic turning cycle, detects changes in information related to the lung ventilation state in the EIT device; Step 7: If the change of information related to lung ventilation or perfusion status is within the threshold range, the automatic turning parameters will not be changed; if the change of information related to lung ventilation or perfusion status is not within the threshold range, the automatic turning parameters will be changed for the purpose of positive therapy; changing the automatic turning parameters for the purpose of positive therapy means changing the automatic turning parameters for the purpose of improving lung ventilation or perfusion status.

7. The control method for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to claim 6, characterized in that: The EIT information acquisition unit in step 1 manually acquires information related to the pulmonary ventilation or perfusion status in the EIT device; When the information related to the pulmonary ventilation or perfusion status in the EIT device is obtained manually: In step 2, information related to the pulmonary ventilation or perfusion state at any time point is manually selected as a reference parameter; In step 3, the automatic turning parameters are set through the human-computer interaction interface based on medical experience to maximize the positive change of the patient; In step 6, the changes of information related to the ventilation or perfusion state of the lungs in the EIT device during the automatic cycle are obtained manually; In step 7, it is determined whether the change is within the threshold based on manual method combined with medical knowledge.

8. The control method for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to claim 6, characterized in that: The EIT information collection unit in step 1 is implemented by automatic collection, wherein the automatic collection is machine vision information collection, cable connection information collection, or information collection is implemented by integrating the monitoring bed and the EIT; When the automatic acquisition is used to obtain information related to the pulmonary ventilation or perfusion status in the EIT device: In step 2, information related to the pulmonary ventilation or perfusion state at any preset time node is used as a reference parameter; In step 3, all automatic turning parameters that positively change the ventilation or perfusion state of the lungs are traversed, and the automatic turning parameter with the largest positive change is used as the set automatic turning parameter; In step 6, changes in information related to lung ventilation or perfusion status in the EIT device during the automatic cycle are obtained by automatic acquisition; In step 7, it is determined whether the change in the information related to the lung ventilation state is within the threshold range based on the preset threshold range.

9. The control method for turning over a intensive care bed guided by pulmonary electrical impedance imaging according to claim 8, characterized in that: The threshold ranges are as follows: ； Where: Represents information related to the lung ventilation status at the i-th moment; Indicates reference parameters; Indicates the allowable deviation; when When it is 1, it means the data is normal and there is no need to change the automatic turning parameters; when When it is 0, it means the data is abnormal and the automatic turning parameters need to be changed.

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