Control system and method for turning over of intensive care bed based on pulmonary electrical impedance imaging

Abstract

The present application belongs to the field of medical device technology, and more specifically, relates to a control system and method for turning over a monitored bed based on electrical pulmonary impedance imaging, comprising an EIT device, an EIT information acquisition unit, an automatic turning 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; the automatic turning 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 parameters; if the data exceeds the threshold range, the system adjusts the turning parameters to achieve a positive treatment effect; the control unit instructs the monitored bed to perform corresponding position change operations according to the adjusted turning parameters; in this way, the system can dynamically adjust the patient's position, optimize lung ventilation and perfusion, and thereby improve the patient's breathing condition; therefore, the present invention makes bed turning more accurate and effective, which helps to improve the patient's treatment effect.

Description

Technical Field

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

[0002] Electrical impedance tomography (EIT) is currently the only device capable of real-time, dynamic bedside monitoring of a patient's pulmonary ventilation and perfusion. It places electrodes on the chest surface and injects a weak, safe current, measuring changes in surface voltage. Using a corresponding imaging algorithm, it dynamically displays the patient's pulmonary ventilation distribution and blood perfusion status in real time, enabling dynamic bedside monitoring. Electrical impedance tomography (EIT) has been around for three or four decades. After years of technological advancement, EIT has reached a mature clinical application stage, laying the foundation 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:

[0004] ARDS patients, when lying flat, have their lungs affected by lesions and pressure such as phlegm and fluid accumulation. Alveolar collapse areas will appear 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 hypoventilation and hypoperfusion. The patients have difficulty breathing. 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 patient's left lung respiratory state changes positively. When the patient turns over 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 over to the left side, the right chest rises, the space 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 over 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.

[0005] Therefore, how to combine the pulmonary electrical impedance tomography to adjust the patient's body position and thereby change the gravity distribution of the lungs so that the patient's breathing state changes positively is a technical problem that needs to be solved. Summary of the Invention

[0006] The present invention provides a control system and method for turning over a monitored bed based on pulmonary electrical impedance imaging, which aims to adjust the patient's body position in combination with the data of the pulmonary electrical impedance imager, thereby changing the lung gravity distribution and making the patient's respiratory state change positively.

[0007] 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 parameter determination unit, a control unit, and a monitored bed;

[0008] The EIT information acquisition unit is used to acquire information related to the lung ventilation status in the EIT device;

[0009] 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 the information is not within the preset threshold range, changes the automatic turning parameter for the purpose of positive therapy; the changing the automatic turning parameter for the purpose of positive therapy means changing the automatic turning parameter for the purpose of improving the pulmonary ventilation or perfusion state;

[0010] The control unit controls the intensive care bed to execute the automatic turning parameter based on the determined automatic turning parameter.

[0011] The present invention proposes a control system for turning over a monitored bed based on pulmonary electrical impedance imaging guidance, which includes an EIT device, an EIT information acquisition unit, an automatic turning parameter determination unit, a control unit and a monitored bed; the EIT information acquisition unit obtains lung ventilation or perfusion status data provided by the EIT device in real time; then, the automatic turning 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 parameters; if the data exceeds the threshold range, the system adjusts the turning parameters to achieve a positive treatment effect, that is, improves the lung ventilation or perfusion status; the control unit instructs the monitored bed to perform corresponding position change operations according to the adjusted turning 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 more accurate and effective, which helps to improve the patient's treatment effect.

[0012] 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 ΔEELI 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.

[0013] Preferably, 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.

[0014] Preferably, 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.

[0015] Preferably, it further comprises a human-computer interaction interface, and the human-computer interaction interface is used to input the automatic turning parameters.

[0016] 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 includes the following steps:

[0017] Step 1: Acquire information related to lung ventilation or perfusion status from the EIT device based on the EIT information acquisition unit;

[0018] 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;

[0019] 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;

[0020] Step 4: Transmit the set automatic turning parameters to the control unit;

[0021] Step 5: Controlling the intensive care bed to execute the automatic turning parameters based on the control unit;

[0022] Step 6: controlling the intensive care bed to execute a cycle based on the automatic turning cycle time set in the automatic turning parameter through the control unit, and detecting changes in information related to the lung ventilation status in the EIT device during the automatic turning cycle;

[0023] Step 7: If the change in information related to the pulmonary ventilation or perfusion status is within the threshold range, the automatic turning parameters are not changed; if the change in information related to the pulmonary ventilation or perfusion status is not within the threshold range, the automatic turning parameters are changed for the purpose of positive therapy; the changing of the automatic turning parameters for the purpose of positive therapy means changing the automatic turning parameters for the purpose of improving the pulmonary ventilation or perfusion status.

[0024] Preferably, the EIT information acquisition unit in step 1 manually acquires information related to lung ventilation or perfusion status from the EIT device;

[0025] When manually acquiring information related to lung ventilation or perfusion status from the EIT device:

[0026] In step 2, information related to the lung ventilation or perfusion state at any time point is manually selected as a reference parameter;

[0027] 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;

[0028] In step 6, changes in information related to lung ventilation or perfusion status in the EIT device during the automatic cycle are obtained manually;

[0029] In step 7, it is determined whether the change is within the threshold based on manual methods combined with medical knowledge.

[0030] 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, cable connection information collection, or information collection is achieved by integrating the monitoring bed with the EIT;

[0031] When automatically acquiring information related to lung ventilation or perfusion status from an EIT device:

[0032] In step 2, information related to the lung ventilation or perfusion state at any preset time point is used as a reference parameter;

[0033] In step 3, all automatic turning parameters that positively change the pulmonary ventilation or perfusion state are traversed, and the automatic turning parameter with the largest positive change is used as the set automatic turning parameter;

[0034] 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;

[0035] In step 7, it is determined based on a preset threshold range whether the change in the information related to the lung ventilation or perfusion state is within the threshold range.

[0036] Preferably, the threshold range is as follows:

[0037] ;

[0038] Where: Represents information related to the lung ventilation status at the i-th moment; Indicates reference parameters; Indicates the permissible 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.

[0039] The beneficial effects of the present invention include:

[0040] The present invention proposes a control system for turning over a monitored bed based on pulmonary electrical impedance imaging guidance, which includes an EIT device, an EIT information acquisition unit, an automatic turning parameter determination unit, a control unit and a monitored bed; the EIT information acquisition unit obtains lung ventilation or perfusion status data provided by the EIT device in real time; then, the automatic turning 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 parameters; if the data exceeds the threshold range, the system adjusts the turning parameters to achieve a positive treatment effect, that is, improves the lung ventilation or perfusion status; the control unit instructs the monitored bed to perform corresponding position change operations according to the adjusted turning 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 more accurate and effective, which helps to improve the patient's treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. 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 any creative work.

[0042] Figure 1 A schematic diagram of the system architecture provided by an embodiment of the present invention.

[0043] Figure 2 This is a front view of the EIT device provided by an embodiment of the present invention.

[0044] Figure 3 This is the ΔEELI interface of the EIT device provided in an embodiment of the present invention.

[0045] Figure 4 This is a trend chart interface of the EIT equipment provided by an embodiment of the present invention.

[0046] Figure 5 This is the analysis view interface of the EIT device provided in an embodiment of the present invention.

[0047] Figure 6This is a cross-section of an LHM view of an EIT device provided by an embodiment of the present invention.

[0048] Figure 7 A schematic diagram of the operation interface provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the technical problems, technical solutions and beneficial effects to be solved by this application more clearly understood, this application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0050] See also Figure 1 As shown, the preferred embodiment of the present invention is further described;

[0051] Example 1

[0052] 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 parameter determination unit, a control unit, and a monitored bed;

[0053] The EIT information acquisition unit is used to acquire information related to lung ventilation or perfusion status in the EIT device;

[0054] The automatic turning parameter determination unit compares the information related to the pulmonary ventilation or perfusion state with a threshold range. If the information is within the threshold range, the original automatic turning parameter is maintained; if the information is not within the preset threshold range, the automatic turning parameter is changed for the purpose of positive therapy. The changing of the automatic turning parameter for the purpose of positive therapy means changing the automatic turning parameter for the purpose of improving the pulmonary ventilation state.

[0055] The control unit controls the intensive care bed to execute the automatic turning parameter based on the determined automatic turning parameter.

[0056] As a possible implementation of this embodiment, the information related to the pulmonary ventilation or perfusion status in the EIT device includes: information related to the pulmonary ventilation or perfusion status provided by a main view of the EIT device, information related to the pulmonary ventilation or perfusion status provided by a ΔEELI graph of the EIT device, information related to the pulmonary ventilation or perfusion status in a trend graph provided by the EIT device, information related to the pulmonary ventilation or perfusion status in an analysis view provided by the EIT device, and information related to the pulmonary ventilation or perfusion status provided by a LHM view provided by the EIT device, or a combination thereof.

[0057] 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 scope of the present invention.

[0058] The main view of the EIT device provides real-time lung ventilation and perfusion dynamics, status and curves, as well as tidal frequency, ventilation center and other visual interfaces. Based on the information in any of these interfaces, we can understand the lung ventilation status;

[0059] The ΔEELI graph of the EIT device provides the impedance change from the start of inspiration to the start of the next breath during a respiratory cycle, that is, the change in electrical impedance from one end of exhalation to the next, reflecting the change in the residual air volume in the lungs at the end of exhalation over a period of time;

[0060] The trend graph provided by the EIT device provides a qualitative and quantitative reflection of the changes in lung ventilation or lung perfusion at any two time points within the monitoring area, observing the distribution and changes of lung ventilation and perfusion in the lungs over a period of time;

[0061] 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 high frequency matching index, DI-low frequency loss index, SI-high frequency loss index, GI-global heterogeneity index, etc.

[0062] The above-mentioned five EIT device view information provides five different view interfaces focusing on different clinical applications. However, for guiding the setting of automatic turning parameters for intensive care beds, 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; based on the change of the difference, the turning parameters for the positive treatment of the current patient are selected and provided to the control unit.

[0063] 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 the patients, that is, positive improvement; for example, for ARDS patients, a positive increase in lung ventilation is a positive improvement for the patients, 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 increases positively, indicating that the ventilation from the ventral side to the dorsal side is more uniform, it will only be a positive improvement for the patient if it increases positively; 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 condition of the patient.

[0064] 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.

[0065] Regarding the description of the four acquisition methods mentioned above, the currently optimal method is to use manual or machine vision to acquire data. The reason is that the current EIT device has no external port. If communication with the EIT device is required, the only way to acquire data is to add a port to the EIT device. To improve it, the manufacturer must make improvements, which cannot be applied to clinical practice in a timely manner and will also increase the manufacturing cost of the EIT device. The cost increase of an integrated method will be even higher. Therefore, using manual or machine vision methods is the lowest cost and easy to implement. Reading the numerical value on the screen by machine vision is a conventional technical means, so it will not be described in detail in this invention. It only requires installing a camera and pointing the camera towards the screen of the EIT device to achieve this. How to set the algorithm to read the numerical value is a conventional technical means in this field and will not be described in detail in this invention.

[0066] 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.

[0067] As a possible implementation of this embodiment, a human-computer interaction interface is further included, and the human-computer interaction interface is used to input the automatic turning parameters.

[0068] The present invention proposes a control system for turning over a monitored bed based on electrical pulmonary impedance imaging guidance, which includes an EIT device, an EIT information acquisition unit, an automatic turning parameter determination unit, a control unit and a monitored bed; the EIT information acquisition unit obtains lung ventilation status data provided by the EIT device in real time; then, the automatic turning 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 parameters; if the data exceeds the threshold range, the system adjusts the turning parameters to achieve a positive treatment effect, that is, improves the lung ventilation status; the control unit instructs the monitored bed to perform corresponding position change operations according to the adjusted turning parameters; in this way, the system can dynamically adjust the patient's position, optimize lung ventilation, and thus improve the patient's breathing condition; therefore, the dynamic adjustment method based on EIT data makes bed turning more accurate and effective, which helps to improve the patient's treatment effect and comfort.

[0069] Example 2

[0070] 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;

[0071] The main view information of the EIT device includes: ventilation and perfusion impedance dynamic diagrams, ventilation and perfusion impedance state diagrams, ventilation and perfusion impedance reference diagrams, global lung ventilation impedance curve, global lung perfusion impedance curve, ventilation impedance curve state curve in each quadrant, ventilation and perfusion impedance percentage in each quadrant, tidal frequency, ventilation center, reference point, etc.

[0072] Pulmonary ventilation (LPB) and perfusion (HPB) impedance dynamic images are real-time images of pulmonary ventilation and perfusion, reflecting the patient's respiratory swing during the respiratory cycle;

[0073] The pulmonary ventilation (LPB) impedance state diagram is a diagram of the patient's pulmonary ventilation state during one respiratory cycle. The pulmonary perfusion (HPB) impedance state diagram is a diagram of the pulmonary blood perfusion impedance value averaged over 5 seconds.

[0074] 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 entire lung during the monitoring time.

[0075] The local pulmonary ventilation impedance curve is a graph showing the changes in pulmonary ventilation impedance in a local area of ​​the lung, i.e., in the 1st to 4th quadrants, during the monitoring period. The 1st to 4th quadrants can be divided horizontally from ventral to dorsal, or divided into four equal parts, top, bottom, left, and right, as shown in the figure.

[0076] Percentage of regional lung ventilation and lung perfusion: the percentage of each area in the local area of ​​the lung, that is, in the 1st to 4th quadrants;

[0077] Ventilation center reflects the uniformity of lung ventilation in the ventral and dorsal directions. A larger ratio indicates more ventilation in the dorsal part of the lung.

[0078] Tidal frequency is the respiratory rate;

[0079] The cut-off frequency is the number of video frames displayed per minute.

[0080] 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 includes the following steps:

[0081] 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;

[0082] Step 2: Use the ventilation rate of 12% in the second quadrant as a reference parameter. At this time, the patient is in a supine position, and the angle parameters of the monitoring bed are in the initial state, that is, 0 degrees for left and right roll, 0 degrees for back lift, 0 degrees for leg lift, and 0 degrees for front and back tilt.

[0083] Step 3: Since the second quadrant reflects insufficient ventilation of the left ventral lung, according to the theory that turning over can change the patient's respiratory disorder, it should be turned to the right side. The medical staff adjusted the monitoring bed to select the right side turning angle parameters: Assume that when the right turn is adjusted to 25 degrees, the back is raised to 30 degrees, and the leg is raised to 15 degrees, the ventilation ratio of the second quadrant rises to 20%. If these parameters are changed again, the ventilation ratio will be lower than 20%, indicating that the maximum positive change in the patient's breathing can be 20% by changing the patient's turning parameters. According to the patient's condition, 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 to the right side for 30 minutes, returning to the flat state for 10 minutes, and turning to the left side at 0 degrees.

[0084] Step 4: Enter the automatic turning cycle time as follows: right turn 25 degrees, back lift 30 degrees, leg lift 15 degrees, and the following: lying flat for 10 minutes, right turn for 30 minutes, return to lying flat for 10 minutes, and left turn 0 degrees into the human-machine dialogue page of the intensive care bed; the human-machine dialogue page transmits the entered automatic turning parameters to the control unit;

[0085] Step 5: Controlling the intensive care bed to execute the automatic turning parameters based on the control unit;

[0086] 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 manually observes the change of the ventilation ratio of the second quadrant of the EIT main view during the automatic turning cycle;

[0087] Step 7: If the change in the information related to the lung ventilation status is within the threshold range, the automatic turning parameter is not changed. If the change in the information related to the lung ventilation status is not within the threshold range (based on manual methods combined with medical knowledge 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.

[0088] Example 3

[0089] This embodiment is also described in detail based on the main view information of the EIT device;

[0090] 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 includes the following steps:

[0091] Step 1: Acquire information related to the lung ventilation status from the EIT device using an EIT information acquisition unit; the EIT information acquisition unit is implemented in an automatic acquisition manner, such as machine vision information acquisition, cable connection information acquisition, or information acquisition achieved by integrating a monitoring bed with the EIT;

[0092] By automatically collecting EIT main view information, the ventilation percentage of the second quadrant of the main view is used as a monitoring reference;

[0093] Step 2: Use the ventilation rate of 12% in the second quadrant as a reference parameter. At this point, the patient is in a supine position, and the angle parameters of the monitoring bed are in the initial state, i.e., 0 degrees for left and right roll, 0 degrees for back lift, 0 degrees for leg lift, and 0 degrees for front and back tilt.

[0094] Step 3: Since the second quadrant reflects insufficient ventilation of the left ventral lung, according to the theory that turning over can change the patient's respiratory disorder, it should be turning on the right side. The medical staff adjusts the monitoring bed to select the right turning angle parameters: Assume that when the doctor adjusts the angle of the monitoring bed to 25 degrees to the right, 30 degrees to the back, and 15 degrees to the leg, the ventilation ratio of the second quadrant rises to 20%. If these parameters are changed again, the ventilation ratio 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 turning 25 degrees, back lifting 30 degrees, leg lifting 15 degrees, and the automatic turning cycle time is: lying flat for 10 minutes, turning on the right side for 30 minutes, returning to lying flat for 10 minutes, and turning on the left side at 0 degrees.

[0095] Step 4: Transmit the set automatic turning parameters to the control unit;

[0096] Explanation 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 the head down and the back up for 8 to 12 hours a day or longer. In severe cases, mechanical ventilation is required; in this embodiment, Figure 2 The patient shown has a second-quadrant respiratory disorder, which is located on the ventral side of the lungs. Therefore, the patient is facing up and is not sedated, so cyclic automatic turning is selected. The cyclic automatic turning cycle time setting applies to both prone and supine turning. When turning in the prone position, the elevation angles of the patient's back and legs are both 0 degrees. This example shows the patient turning in the supine position with their face up, so the elevation angles of the back and legs can be set.

[0097] Step 5: Controlling the intensive care bed to execute the automatic turning parameters based on the control unit;

[0098] 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 automatically collects the ventilation ratio change of the second quadrant of the EIT main view during the automatic turning cycle;

[0099] Step 7: If the change in the information related to the pulmonary ventilation status is within the threshold range, the automatic turning parameter is not changed; if the change in 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 therapy; the changing of the automatic turning parameter for the purpose of positive therapy means changing the automatic turning parameter for the purpose of improving the pulmonary ventilation status;

[0100] The threshold ranges are as follows:

[0101] ;

[0102] Where: Represents information related to the lung ventilation status at the i-th moment; Indicates reference parameters; Indicates the permissible 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;

[0103] like The value of is 20, is 1; then if This indicates that the ventilation percentage is below the minimum threshold. The patient bed needs to increase the right-side rollover parameters. Assuming the patient bed's built-in rollover angle is set to 2 degrees per increment, the patient bed automatically adjusts the rollover parameters to: right roll 27 degrees, back lift 30 degrees, and leg lift 15 degrees. The automatic rollover cycle time is: 10 minutes flat, 30 minutes right-side rollover, 10 minutes back flat, and 0 degrees left-side rollover.

[0104] like , indicating that the ventilation ratio is higher than the preset value of 20%, and the patient bed needs to reduce the right-side turning parameters. Assuming the built-in side turning angle of the patient bed is set to 2 degrees per increment, the patient bed automatically adjusts the turning parameters to: right turning 23 degrees, back raising 30 degrees, and leg raising 15 degrees. The automatic turning cycle time is: 10 minutes in supine position, 30 minutes in right-side turning, 10 minutes in return to supine position, and 0 degrees in left-side turning.

[0105] Based on the above, it can be seen that when automatically adjusting the rollover angle, the setting is based on the positive rotation when 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 this embodiment, how to preset the turning rule so that when the change of the information related to the lung ventilation status is detected to be outside the threshold range, the corresponding turning adjustment is made is a conventional technical means in this field, and therefore it will not be described in detail in the present invention.

[0106] Of course, this embodiment also includes an automatic alarm. During the cycle, when it is detected that the ventilation ratio 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 respiratory disorder, and medical staff need to be asked to deal with it; therefore, the medical staff is reminded by an automatic alarm, wherein the automatic alarm adopts an audible and visual alarm method, and it is only necessary to electrically connect the audible and visual 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 operation of the audible and visual alarm module.

[0107] Example 4

[0108] This embodiment guides the automatic turning of the monitored bed based on the EIT ΔEELI graph interface information. The process of this embodiment is the same as that of Embodiment 2 and Embodiment 3, the only difference being the collected data and the data for comparison. That is, the set threshold value only needs to correspond to the collected data.

[0109] The △EELI graph of EIT provides the impedance change from the start of inspiration to the start 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 in 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 end-expiratory lung impedance at point C and the end-expiratory lung impedance at point Ref;

[0110] Unlike the main view, which reflects multiple EIT information of the patient, the ΔEELI diagram 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 here.

[0111] It's important to note that if this difference is positive, it indicates an increase, and the EELI graph appears light blue. If it is negative, the EELI graph appears orange, indicating a decrease. There's no absolute good or bad in this regard. For example, for patients with COPD, the goal is to reduce hyperventilation, so a negative value is good. However, for patients with lung collapse, a positive value is good, reflecting increased ventilation. The choice of point C is based on clinical decision-making. For example, if treatment is scheduled around 11:00, point C should be chosen at 11:00.

[0112] 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 this field, so this embodiment will not be repeated.

[0113] Example 5

[0114] This embodiment guides the patient bed to automatically turn over based on the EIT trend chart interface information. The process of this embodiment 5 is the same as that of embodiments 2 and 3, the only difference being that the collected data and the data for comparison are different, that is, the set threshold value corresponds to the collected data.

[0115] The EIT trend graph provides a qualitative and quantitative reflection of the changes in pulmonary ventilation or perfusion at any two time points within the monitoring area. It observes the distribution and changes of pulmonary ventilation and perfusion in the lungs over a period of time. Unlike the EELI graph that reflects positive end-expiratory pressure, this graph reflects the distribution and changes of pulmonary ventilation and perfusion during the respiratory cycle. In clinical applications, it is only necessary to compare the difference between point C and point Ref, which is relatively simple. The clinical application steps are the same as those in Example 1 and will not be repeated here.

[0116] See also Figure 4 The trend view has three sets of views. The first is the ventilation and perfusion difference change graph, or LPB change C vs. Ref. This graph is the LPB value at point C minus the LPB value at point Ref. You can see that ventilation conditions in zones 1, 2, 3, and 4 are all orange, indicating a decrease. Only a small blue patch appears in the middle of zones 1 and 2, indicating a positive increase in ventilation in these areas. The HPB change C vs. Ref graph also subtracts the HPB value at point C from the HPB value at point Ref. This graph shows a weak orange patch in zone 1, indicating decreased blood perfusion in zone 1, while no change occurs in other zones. The LPB and HPB graphs for point Ref are in the center, and the one on the right is for point C. The time interval between the two points is 10 minutes.

[0117] The trend view is to select a reference point to compare the breath. It is different from the EELI graph that reflects the positive end-expiratory pressure. This one reflects the whole 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 at the reference point Ref are better. Figure 4 There are two trend curves. The blue upper one represents lung ventilation. You can see that the trend from the reference point Ref to point C is downward, reflecting that ventilation at Ref is better than at C. The red lower one represents lung perfusion, which shows blood flow and reflects pulmonary hypertension. The blood perfusion between the two points can be compared, and Ref is also more adequate than C. These two curves can also monitor the air-to-blood ratio, or V / Q. Since the tidal volume (V) of lung ventilation and the blood flow (Q) of lung perfusion are directly proportional to the EIT resistances L(PB) and H(PB), L / H = V / Q * K, where K is verified based on clinical data.

[0118] 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 this field, so this embodiment will not be repeated.

[0119] Example 6

[0120] Based on the EIT analysis view interface information, the monitoring bed is automatically turned over. The process of this embodiment 6 is the same as that of embodiments 2 and 3. The only difference is that the collected data and the comparison data are different, that is, the set threshold value corresponds to the collected data.

[0121] See also Figure 5 The EIT analysis view provides a ventilator PEEP titration view, which is a view module 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, this view interface can be used to guide the automatic turning of the monitoring bed with EIT.

[0122] In clinical applications, the difference in PEEP points is compared, and the operating steps are the same as those in Example 2 or Example 3, and will not be repeated.

[0123] Example 7

[0124] The EIT LHM view interface information guides the monitored bed to automatically turn over. The process of this embodiment 7 is the same as that of embodiments 2 and 3. The only difference is that the collected data and the comparison data are different, that is, the set threshold value corresponds to the collected data.

[0125] See also Figure 6 The LHM view of EIT provides a distribution status view of the changes in various dedicated indices. The main indices it contains are: MI--low-frequency and high-frequency matching index, DI--low-frequency missing index, SI--high-frequency missing index, L--lung ventilation, H--lung perfusion, L / H--air-blood ratio, GI--global heterogeneity index, CoV--ventilation center, etc.

[0126] In clinical applications, the changes in each index are compared, and the operating steps are the same as those in Example 2 or Example 3, and will not be repeated.

[0127] As an implementation of any of the above embodiments, the monitoring bed of the present invention adopts the monitoring bed of Chengdu Jiangxue Medical Equipment Co., Ltd., which is provided with an operation interface, and the monitoring 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 7Its control panel is the operating interface described in the present invention. The corresponding automatic turning parameters can be entered through the control panel, and then the corresponding driving device is controlled by its control unit 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.

[0128] 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 view interface of EIT products of other different companies is used, it may be different, but the EIT monitoring method is the same and does not conflict with the present invention.

[0129] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A control system for turning over a intensive care bed guided by pulmonary electrical 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 lung ventilation or perfusion 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 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 parameters are changed for the purpose of positive treatment; The purpose of the positive treatment to change the automatic turning parameter means to change the automatic turning parameter for the purpose of improving the ventilation or perfusion state of the lungs; 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 flat time, bed left side turning time, bed right side turning time, bed front tilt time, and bed rear tilt time; The control unit controls the intensive care bed to execute the automatic turning parameters based on the determined automatic turning parameters.

2. The control system for turning over a intensive care bed guided by electrical pulmonary impedance imaging according to claim 1, characterized in that: The information related to the pulmonary ventilation or perfusion status in the EIT device includes: information related to the pulmonary ventilation or perfusion status provided by the main view of the EIT device, information related to the pulmonary ventilation or perfusion status provided by the ΔEELI graph of the EIT device, information related to the pulmonary ventilation or perfusion status in the trend graph provided by the EIT device, information related to the pulmonary ventilation or perfusion status in the analysis view provided by the EIT device, and information related to the pulmonary ventilation or perfusion status provided by the LHM view provided by the EIT device, or a combination thereof; The △EELI graph provides the impedance change from the start of inspiration to the start of the next breath in a respiratory cycle, that is, the change in electrical impedance from the end of one exhalation to the end of the next, reflecting the change in the residual air volume in the lungs at the end of exhalation over a period of time. The LHM view provides a distribution view of the changes in various dedicated indices, including: MI--low-frequency high-frequency matching index, DI--low-frequency loss index, SI--high-frequency loss index, L--lung ventilation, H--lung perfusion, L / H--air-to-blood ratio, GI--global heterogeneity index, and CoV--ventilation center.

3. The control system for turning over a intensive care bed guided by electrical pulmonary 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 electrical pulmonary 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 parameters.

5. 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 4 is implemented, comprising the following steps: Step 1: Acquire information related to lung ventilation or perfusion status from 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: controlling the intensive care bed to execute a cycle based on the automatic turning cycle time set in the automatic turning parameter through the control unit, and detecting changes in information related to the lung ventilation status in the EIT device during the automatic turning cycle; Step 7: If the change in information related to the pulmonary ventilation or perfusion status is within the threshold range, the automatic turning parameters are not changed; if the change in information related to the pulmonary ventilation or perfusion status is not within the threshold range, the automatic turning parameters are changed for the purpose of positive therapy; the changing of the automatic turning parameters for the purpose of positive therapy means changing the automatic turning parameters for the purpose of improving the pulmonary ventilation or perfusion status.

6. The control method for turning over a patient bed guided by electrical pulmonary impedance imaging according to claim 5, characterized in that: The EIT information acquisition unit in step 1 manually acquires information related to lung ventilation or perfusion status from the EIT device; When manually acquiring information related to lung ventilation or perfusion status from the EIT device: In step 2, information related to the lung 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, changes in information related to lung ventilation or perfusion status 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 methods combined with medical knowledge.

7. The control method for turning over a patient bed guided by electrical pulmonary impedance imaging according to claim 5, characterized in that: The EIT information collection unit in step 1 is implemented by automatic collection, wherein the automatic collection is implemented by machine vision information collection, cable connection information collection, or information collection by integrating the monitoring bed with the EIT; When automatically acquiring information related to lung ventilation or perfusion status from an EIT device: In step 2, information related to the lung ventilation or perfusion state at any preset time point is used as a reference parameter; In step 3, all automatic turning parameters that positively change the pulmonary ventilation or perfusion state 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.

8. The control method for turning over a patient bed guided by electrical pulmonary impedance imaging according to claim 7, 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 permissible 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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