Extracorporeal circulation monitoring device

Abstract

The application relates to an extracorporeal circulation detection device. The method comprises a control module, an impedance detection module and a temperature detection module, the control module being connected with the impedance detection module and the temperature detection module; the impedance detection module is arranged at a plurality of preset positions of the head of a to-be-detected object, is used for detecting impedance data of the brain of the to-be-detected object in real time, and is connected with the control module; the temperature detection module is arranged at a plurality of preset positions of the body of the to-be-detected object, is used for detecting body temperature data of the to-be-detected object in real time, and is connected with the control module; the control module is connected with an extracorporeal circulation device, is used for acquiring real-time setting temperature of the extracorporeal circulation device, and determines the state of the extracorporeal circulation device when the extracorporeal circulation device performs extracorporeal circulation on the to-be-detected object according to the impedance data, the body temperature data and the real-time setting temperature. The method can comprehensively and efficiently detect the state of the to-be-detected object in extracorporeal circulation.

Description

Technical Field

[0001] This application relates to the field of condition monitoring technology, and in particular to an extracorporeal circulation monitoring device. Background Technology

[0002] With the development of the medical field, extracorporeal circulation surgery has emerged. This involves temporarily taking over the function of the heart and lungs using an extracorporeal circulation device, allowing surgery to be performed on a resting, bloodless heart. Because extracorporeal circulation is a non-physiological circulatory method, it is necessary to monitor the condition of the patient undergoing extracorporeal circulation to prevent abnormalities.

[0003] Traditional techniques use near-infrared light to irradiate the human body to detect the state of objects undergoing extracorporeal circulation. However, this method cannot comprehensively detect the state of objects undergoing extracorporeal circulation and has a long feedback delay.

[0004] Therefore, there is an urgent need for a solution that can comprehensively and efficiently detect the state of objects undergoing extracorporeal circulation. Summary of the Invention

[0005] Therefore, it is necessary to provide an extracorporeal circulation detection device that can comprehensively and efficiently detect the state of objects undergoing extracorporeal circulation, addressing the aforementioned technical problems.

[0006] In a first aspect, this application provides an extracorporeal circulation detection device. The method includes: a control module, an impedance detection module, and a temperature detection module; the control module is connected to the impedance detection module and the temperature detection module; the impedance detection module is disposed at multiple preset positions on the head of the object to be tested, for real-time detection of impedance data of the brain of the object to be tested, and sends it to the control module; the temperature detection module is disposed at multiple preset positions on the body of the object to be tested, for real-time detection of body temperature data of the object to be tested, and sends it to the control module; the control module is connected to the extracorporeal circulation device, for acquiring the real-time set temperature of the extracorporeal circulation device, and determining the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested based on the impedance data, body temperature data, and real-time set temperature.

[0007] In one embodiment, the impedance detection module includes multiple electrodes, each electrode being disposed at a preset position on the head of the object to be tested; the control module is further configured to perform real-time impedance detection on the brain of the object to be tested through the multiple electrodes based on preset partition impedance detection rules, and determine multiple local impedance data of the brain of the object to be tested.

[0008] In one embodiment, the temperature detection module includes at least four temperature detection components; the four temperature detection components are respectively disposed on the left ear, right ear, nasopharynx, and bladder of the subject to be tested.

[0009] In one embodiment, the control module is further configured to: acquire the real-time set temperature of the extracorporeal circulation device, and receive the plurality of local impedance data and the plurality of body temperature data; fit the real-time set temperature, the plurality of local impedance data and the plurality of body temperature data respectively to determine the real-time set temperature curve, the plurality of local impedance curves, the left ear temperature curve, the right ear temperature curve, the nasopharyngeal temperature curve and the bladder temperature curve; based on the temperature adjustment stage of the extracorporeal circulation device when performing extracorporeal circulation on the subject to be tested, determine the state of the extracorporeal circulation device when performing extracorporeal circulation on the subject to be tested according to the real-time set temperature curve, the plurality of local impedance curves, the left ear temperature curve, the right ear temperature curve, the nasopharyngeal temperature curve and the bladder temperature curve.

[0010] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the heating or cooling phase of extracorporeal circulation of the object to be tested: calculate the average temperature of the left ear within a preset time range based on the left ear temperature curve to determine the average temperature of the left ear; calculate the average temperature of the right ear within a preset time range based on the right ear temperature curve to determine the average temperature of the right ear; calculate the difference between the average temperature of the left ear and the average temperature of the right ear to determine the temperature difference between the left and right ears; calculate the first Pearson correlation coefficient between the real-time set temperature curve and each local impedance curve based on the real-time set temperature curve and multiple local impedance curves; if the absolute value of the temperature difference between the left and right ears is greater than the first temperature difference threshold, or if there is a first Pearson correlation coefficient among the multiple first Pearson correlation coefficients that is greater than the negative correlation threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is a first abnormal state.

[0011] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the heating phase of extracorporeal circulation of the subject to be tested: if the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, and nasopharyngeal temperature curve simultaneously satisfy a first preset condition, a second preset condition, and a third preset condition, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the subject to be tested is a second abnormal state; the first preset condition includes: a first temperature difference between the current real-time set temperature and the current left ear temperature, a second temperature difference between the current real-time set temperature and the current right ear temperature, and a second temperature difference between the current real-time set temperature and the current nasopharyngeal temperature. The third temperature difference is greater than the second temperature difference threshold; the second preset condition includes: the first absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the left ear temperature curve within the preset time range, the second absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the right ear temperature curve within the preset time range, and the third absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the nasopharyngeal temperature curve within the preset time range, are all less than the absolute difference threshold; the third preset condition includes: the slopes of multiple local impedance curves within the preset time range are all greater than the first impedance slope threshold.

[0012] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the heating phase of extracorporeal circulation of the object to be tested: if the current left ear temperature and the current right ear temperature are both lower than the temperature threshold, and the slope of the left ear temperature curve and the slope of the right ear temperature curve within the preset time range are both less than the temperature slope threshold, and the slope of multiple local impedance curves within the preset time range is greater than the first impedance slope threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is a first abnormal state.

[0013] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the heating stage of extracorporeal circulation of the object to be tested: if the difference between the maximum slope and the minimum slope of multiple local impedance curves within a preset time range is greater than the slope difference threshold, then the state of the extracorporeal circulation device when it is performing extracorporeal circulation on the object to be tested is a third abnormal state.

[0014] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the cooling phase of extracorporeal circulation of the object to be tested: calculate the second Pearson correlation coefficient between the real-time set temperature curve and the target temperature curve based on the real-time set temperature curve and the target temperature curve; the target temperature curve is any one of the real-time set temperature curve, the left ear temperature curve, the right ear temperature curve, the nasopharyngeal temperature curve, and the bladder temperature curve; if all of the multiple first Pearson correlation coefficients are greater than the negative correlation threshold, and all of the second Pearson correlation coefficients are less than the positive correlation threshold, and there is a local impedance curve among the multiple local impedance curves whose slope is less than the second impedance slope threshold within a preset time range, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the fourth abnormal state.

[0015] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the cooling stage of extracorporeal circulation of the object to be tested: if there is a slope of less than the second impedance slope threshold in the slope of the multiple local impedance curves within a preset time range, then the state of the extracorporeal circulation device when it is performing extracorporeal circulation on the object to be tested is the fifth abnormal state.

[0016] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the heating stage of extracorporeal circulation of the object to be tested: if there is a slope greater than the first impedance slope threshold among the slopes of the multiple local impedance curves within a preset time range, then the state of the extracorporeal circulation device when it is performing extracorporeal circulation on the object to be tested is the sixth abnormal state.

[0017] In one embodiment, the control module is further configured to: when the extracorporeal circulation device is in the deep cryogenic cessation phase of extracorporeal circulation on the object to be tested: if there is a slope greater than the second impedance slope threshold or a slope less than the first impedance slope threshold among the slopes of the multiple local impedance curves within a preset time range, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the seventh abnormal state.

[0018] In one embodiment, the control module is further configured to: calculate the average value of multiple local impedance values ​​at the same time point within a preset time range based on the timestamps of the multiple local impedance curves, and determine a local average impedance curve; calculate the impedance difference between the local average impedance curve and the multiple local impedance curves, and determine multiple impedance difference sequences; if there is an impedance difference greater than an impedance difference threshold among the impedance differences in the multiple impedance difference sequences, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the eighth abnormal state.

[0019] In one embodiment, the extracorporeal circulation detection device further includes an alarm module and a display module, both of which are connected to the control module. The alarm module is used to issue an alarm when the extracorporeal circulation device is in an abnormal state when the extracorporeal circulation of the object to be tested is in an abnormal state. The display module is used to display the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve.

[0020] The aforementioned extracorporeal circulation detection device uses impedance detection modules located at multiple preset positions on the head of the subject to detect impedance data in real time, which is then sent to the control module. Next, temperature detection modules located at multiple preset positions on the body of the subject to detect body temperature data in real time, which is also sent to the control module. Finally, the control module, connected to the extracorporeal circulation device, acquires the real-time set temperature of the extracorporeal circulation device and determines the state of the subject during extracorporeal circulation based on the impedance data, body temperature data, and the real-time set temperature. This allows for comprehensive and efficient detection of the state of the subject undergoing extracorporeal circulation. Attached Figure Description

[0021] Figure 1 This is a block diagram of an extracorporeal circulation detection device in one embodiment;

[0022] Figure 2 This is a schematic diagram of the whole brain impedance curve, nasopharyngeal temperature curve, and bladder temperature curve in one embodiment.

[0023] Figure 3 This is a schematic diagram of the local impedance curve and the real-time set temperature curve in one embodiment;

[0024] Figure 4 This is a schematic diagram of left ear temperature, right ear temperature, left brain impedance, and right brain impedance in another embodiment;

[0025] Figure 5 This is a schematic diagram of the architecture of an extracorporeal circulation detection device in one embodiment.

[0026] Reference numerals: 1. Extracorporeal circulation detection device; 10. Impedance detection module; 20. Temperature detection module; 30. Control module; 40. Extracorporeal circulation equipment. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0028] Traditional techniques detect the state of objects undergoing extracorporeal circulation by irradiating them with near-infrared light. This method utilizes the characteristic of near-infrared light of a specific wavelength to penetrate biological tissues such as the scalp and skull to a depth of several centimeters to detect the state of objects undergoing extracorporeal circulation. However, this method cannot comprehensively detect the state of objects undergoing extracorporeal circulation, and the feedback of detection results is relatively long.

[0029] To address the aforementioned problems, in one embodiment of this application, such as Figure 1 As shown, an extracorporeal circulation detection device 1 is provided, comprising:

[0030] The system includes a control module 30, an impedance detection module 10, and a temperature detection module 20, with the control module 30 connected to the impedance detection module 10 and the temperature detection module 20.

[0031] The impedance detection module 10 is set at multiple preset positions on the head of the object to be tested, and is used to detect the impedance data of the brain of the object to be tested in real time and send it to the control module 30.

[0032] That is, the impedance detection module 10 is used to detect the impedance data of the brain of the object to be tested in real time under the control of the control module 30. The object to be tested is a human body. The impedance detection module 10 is an EIT system, namely electrical impedance imaging, used to detect the impedance data of the brain of the object to be tested in real time, thereby obtaining impedance data. The impedance data consists of local impedance data at multiple preset locations in the brain of the object to be tested.

[0033] Among them, multiple preset locations are different regions of the brain of the target subject.

[0034] The temperature detection module 20 is set at multiple preset positions on the body of the object to be detected, and is used to detect the body temperature data of the object in real time and send it to the control module 30.

[0035] That is, the temperature detection module 20 is used to detect the body temperature data of the subject at different locations and send the detected body temperature data to the control module 30. The temperature detection module 20 is a detection module composed of multiple temperature sensors. For example, the body temperature data of the subject at different locations includes the temperature of the subject's left ear, right ear, nasopharynx, and bladder. That is, the multiple temperature sensors in the temperature detection module 20 are respectively set at the subject's left ear, right ear, nasopharynx, and bladder, thereby detecting the subject's left ear temperature, right ear temperature, nasopharyngeal temperature, and bladder temperature.

[0036] The control module 30 is connected to the extracorporeal circulation device 40 and is used to acquire the real-time set temperature of the extracorporeal circulation device 40, and determine the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested based on the impedance data, body temperature data and real-time set temperature.

[0037] The state of the subject under test during extracorporeal circulation includes a normal state and an abnormal state. Extracorporeal circulation monitoring device 1 is used to maintain extracorporeal circulation in the subject during surgery. The state of the subject under test when the extracorporeal circulation device 40 is performing extracorporeal circulation is determined based on the impedance data, body temperature data, and the real-time set temperature, specifically by comparing the changing trends of the impedance data, body temperature data, and the real-time set temperature during the temperature adjustment phase of extracorporeal circulation.

[0038] In the aforementioned extracorporeal circulation detection device 1, impedance detection modules 10, located at multiple preset positions on the head of the subject, detect impedance data of the subject's brain in real time and send it to the control module 30. Then, temperature detection modules 20, located at multiple preset positions on the body of the subject, detect body temperature data of the subject in real time and send it to the control module 30. Finally, the control module 30, connected to the extracorporeal circulation device 40, obtains the real-time set temperature of the extracorporeal circulation device 40. Based on the impedance data, body temperature data, and real-time set temperature, the state of the extracorporeal circulation device 40 during extracorporeal circulation of the subject is determined, thereby comprehensively and efficiently detecting the state of the subject undergoing extracorporeal circulation.

[0039] In other embodiments of this application, the impedance detection module 10 includes a plurality of electrodes, each electrode being disposed at a preset position on the head of the object to be detected;

[0040] The control module 30 is also used to perform real-time impedance detection on the brain of the target object through the multiple electrodes based on preset partition impedance detection rules, and to determine multiple local impedance data of the brain of the target object.

[0041] Specifically, the control module 30, based on a preset partitioned impedance detection rule, sequentially uses each electrode as a positive excitation electrode, the opposite electrode as a negative excitation electrode, and the remaining electrodes as response electrodes to determine multiple sets of excitation electrodes and response electrodes; or sequentially uses two adjacent electrodes as excitation electrodes and the remaining electrodes as response electrodes to determine multiple sets of excitation electrodes and response electrodes. Then, based on each set of excitation electrodes and the corresponding response electrodes, real-time impedance detection is performed on the brain of the target brain to determine multiple local impedance data of the target brain.

[0042] In this process, the data obtained from real-time impedance detection of the brain of the subject under test for each set of excitation electrodes and their corresponding response electrodes are converted into grayscale images to obtain multiple grayscale images corresponding to each set of excitation electrodes. The grayscale values ​​in the grayscale images represent impedance; the larger the grayscale value, the greater the impedance value. The grayscale images corresponding to each set of excitation electrodes are superimposed to determine the target grayscale image, where the grayscale value at a certain position in the target grayscale image is the average of the grayscale values ​​at the same position in all grayscale images. Based on a preset brain partitioning rule, the target grayscale image is divided into partitions, and the average impedance value represented by the grayscale values ​​of each partition is calculated to determine multiple local impedance data of the brain of the subject under test.

[0043] In other embodiments of this application, the plurality of electrodes are 16 electrodes arranged in a ring. For example, when the first electrode is used as the positive excitation electrode and the ninth electrode is used as the negative excitation electrode, a local impedance data is determined based on the response signals obtained by using all electrodes other than the first electrode and the ninth electrode as response electrodes.

[0044] In other embodiments of this application, the temperature detection module 20 includes at least four temperature detection components; the four temperature detection components are respectively disposed on the left ear, right ear, nasopharynx, and bladder of the subject to be tested.

[0045] That is, the four temperature detection components are respectively installed in the left ear, right ear, nasopharynx, and bladder of the subject to be tested, so as to detect the temperature of the left ear, right ear, nasopharynx, and bladder of the subject to be tested.

[0046] In other embodiments of this application, the control module 30 is further configured to:

[0047] The system acquires the real-time set temperature of the extracorporeal circulation device 40 and receives the multiple local impedance data and the multiple body temperature data.

[0048] The real-time set temperature is the desired temperature for controlling the human body temperature by the extracorporeal circulation device 40. This is achieved by setting multiple set temperatures either by staff or within a preset time period.

[0049] The multiple body temperature data include left ear temperature, right ear temperature, nasopharyngeal temperature, and bladder temperature. The left ear temperature includes multiple temperatures collected at the left ear within a preset time period; the right ear temperature includes multiple temperatures collected at the right ear within a preset time period; the nasopharyngeal temperature includes multiple temperatures collected at the nasopharynx within a preset time period; and the bladder temperature includes multiple temperatures collected at the bladder within a preset time period.

[0050] The real-time set temperature, multiple local impedance data, and multiple body temperature data are fitted to determine the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve.

[0051] The multiple local impedance data are local impedance data of different regions of the object to be detected. The multiple local impedance curves are obtained by fitting each local impedance data separately, thereby obtaining the local impedance curve corresponding to each local impedance data.

[0052] That is, linear fitting is performed on the real-time set temperature, multiple local impedance data, and multiple body temperature data respectively to determine the corresponding linear fitting curves, including the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve.

[0053] Based on the temperature adjustment stage of the extracorporeal circulation device 40 when performing extracorporeal circulation on the subject to be tested, the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the subject to be tested is determined according to the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve and bladder temperature curve.

[0054] It should be noted that the extracorporeal circulation process includes skin preparation, extracorporeal circulation start-up, cooling, closure, deep cryogenic circulation shutdown, heating, and termination. The temperature adjustment phase includes cooling, deep cryogenic circulation shutdown, and heating. It should be noted that deep cryogenic circulation shutdown is the phase where the temperature remains constant. The control module 30 can determine the state of the extracorporeal circulation device 40 during extracorporeal circulation of the object under test based on various curves.

[0055] For example, based on the temperature adjustment phase of the extracorporeal circulation device 40 when the test object is subjected to extracorporeal circulation, the state during extracorporeal circulation is determined by comparing whether the changing trends of the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve and bladder temperature curve correspond to the changing trends of the temperature adjustment phase.

[0056] It should be noted that the control module 30 is also used to determine the whole brain impedance curve by superimposing multiple local impedance curves.

[0057] For example, such as Figure 2 As shown, the total transmission impedance, i.e., the whole brain impedance curve, is represented.

[0058] It should be noted that the temperature adjustment phase of extracorporeal circulation works by adjusting the temperature of the blood within the subject being tested. Since heat is conducted from warmer areas to cooler areas, this adjusts the temperature of various parts of the subject. Therefore, ideally, the individual temperature curves do not change with the real-time set temperature curve; that is, there is a data tracking phenomenon between the individual temperature curves and the real-time set temperature curve.

[0059] It should be noted that, under normal circumstances, the temperature of various parts of the human body changes in accordance with the set temperature of the extracorporeal circulation device 40. The temperature change trend of various parts of the human body changes with the set temperature of the extracorporeal circulation device 40, that is, it is positively correlated. Furthermore, if... Figure 3 As shown, the local impedance curve and the real-time set temperature curve are negatively correlated, where the impedance curve is a local impedance curve and the temperature curve is the real-time set temperature curve.

[0060] In a specific embodiment of this application, after a new temperature value is set in the extracorporeal circulation device 40, for example, from 20 degrees Celsius to 22 degrees Celsius, under normal circumstances, the measured temperature of different parts of the human body will change from 20 degrees Celsius to 22 degrees Celsius within a certain period of time (the temperature of different parts of the body follows the same pattern, with the temperature of the left and right ears following the same pattern for 10 minutes and the temperature of the bladder following the same pattern for 5 minutes).

[0061] In abnormal situations, during the cooling phase, the changing trends of the measured local impedance curves are inconsistent. For example, the Pearson correlation coefficient between one local impedance curve and the real-time set temperature curve is greater than 0.6, while the Pearson correlation coefficient between another local impedance curve and the real-time set temperature curve is less than 0.4. This indicates that the brain cooling is uneven and there may be poor blood flow.

[0062] Under abnormal conditions, during the deep hypothermic circulatory arrest phase, the whole brain impedance curve is positively correlated with each local impedance curve. The Pearson correlation coefficient between the whole brain impedance curve and each local impedance curve should be greater than 0.8. If it is less than 0.8, it indicates a possible problem. If it is less than 0.5, it indicates a problem.

[0063] It should be noted that the whole brain impedance curve is obtained by superimposing the various local impedance curves.

[0064] During the warming process, the measured body temperature data will follow the real-time set temperature of the extracorporeal circulation device 40. Within a certain period of time, the measured temperature will tend to the real-time set temperature. If the body temperature data does not change to the range within 5 minutes, it will alert the staff to poor blood flow. If it does not change to the range within 10 minutes, it will alert the staff to blockage.

[0065] The trend of the whole brain impedance curve is consistent with the trend of the local impedance curves and shows a positive correlation. If the absolute value of the Pearson correlation coefficient between the whole brain impedance curve and the local impedance curves is small, it indicates poor blood flow. If the absolute value of the Pearson correlation coefficient remains at a small value for a long time, it indicates cerebral obstruction.

[0066] During the postoperative period, once the body temperature returns to normal, and while maintaining the same body temperature before and after surgery, observe whether the impedance of various local areas in the brain has returned to normal. If the absolute value of the difference between each local impedance and the normal local impedance is within the error range, the postoperative brain risk is considered low; if it is outside the error range, it is marked as a possible brain risk.

[0067] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the heating or cooling phase of the extracorporeal circulation of the object to be tested:

[0068] Based on the left ear temperature curve, calculate the average left ear temperature within a preset time range to determine the average left ear temperature.

[0069] That is, calculate the average value of each left ear temperature value in the left ear temperature curve, and use it as the average temperature of the left ear.

[0070] Based on the right ear temperature curve, calculate the average right ear temperature within a preset time range to determine the average right ear temperature.

[0071] That is, calculate the average value of each right ear temperature value in the right ear temperature curve, and use it as the average temperature of the right ear.

[0072] Calculate the difference between the average temperature of the left and right ears to determine the temperature difference between the left and right ears.

[0073] That is, the temperature difference between the left ear and the right ear is calculated, and the result of the difference is taken as the temperature difference between the left and right ears.

[0074] Based on the real-time set temperature curve and multiple local impedance curves, the first Pearson correlation coefficient between the real-time set temperature curve and each local impedance curve is calculated.

[0075] It should be noted that the Pearson correlation coefficient is a parameter characterizing the correlation between two curves, and its value ranges from -1 to 1. When the Pearson correlation coefficient is between 0 and -1, it indicates that the two curves are negatively correlated, and the smaller the Pearson correlation coefficient, the stronger the negative correlation between the two curves. When the Pearson correlation coefficient is between 0 and 1, it indicates that the two curves are positively correlated, and the larger the Pearson correlation coefficient, the stronger the positive correlation between the two curves.

[0076] It should be noted that there is a negative correlation between the real-time set temperature curve and each local impedance curve.

[0077] It should be noted that the formula for calculating the Pearson correlation coefficient is as follows:

[0078]

[0079] in, The Pearson correlation coefficient is the coefficient between curve x and curve y. For the i-th data in curve x, This represents the average value of all data points in curve x. Let be the i-th data in curve y. This represents the average value of all data points in the curve y.

[0080] If the absolute value of the temperature difference between the left and right ears is greater than the first temperature difference threshold, or if one of the multiple first Pearson correlation coefficients is greater than the negative correlation threshold, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the subject to be tested is a first abnormal state. It should be noted that the first temperature difference threshold and the negative correlation threshold are thresholds set based on historical relevant data and can be adjusted according to actual circumstances.

[0081] It should be noted that among the multiple first Pearson correlation coefficients, the presence of a first Pearson correlation coefficient greater than the negative correlation threshold indicates that the correlation between each local impedance curve and the real-time set temperature curve is weak.

[0082] The first abnormal state indicates that there is a blockage in the brain of the subject being tested.

[0083] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the heating phase of extracorporeal circulation of the object to be tested:

[0084] If the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, and nasopharyngeal temperature curve simultaneously meet the first preset condition, the second preset condition, and the third preset condition, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the second abnormal state.

[0085] It should be noted that the second abnormal state is the presence of an obstruction within the body of the object being tested.

[0086] The first preset condition includes: the first temperature difference between the current real-time set temperature and the current left ear temperature, the second temperature difference between the current real-time set temperature and the current right ear temperature, and the third temperature difference between the current real-time set temperature and the current nasopharyngeal temperature, all of which are greater than the second temperature difference threshold.

[0087] It should be noted that the current real-time set temperature is the last real-time set temperature value in the real-time set temperature curve, the current left ear temperature is the last left ear temperature value in the left ear temperature curve, the current right ear temperature is the last right ear temperature value in the right ear temperature curve, and the current nasopharyngeal temperature is the last nasopharyngeal temperature value in the nasopharyngeal temperature curve.

[0088] The first temperature difference is obtained by subtracting the last real-time set temperature value in the real-time set temperature curve from the last left ear temperature value in the left ear temperature curve. The second temperature difference is obtained by subtracting the last real-time set temperature value in the real-time set temperature curve from the last right ear temperature value in the right ear temperature curve. The third temperature difference is obtained by subtracting the last real-time set temperature value in the real-time set temperature curve from the last nasopharyngeal temperature value in the nasopharyngeal temperature curve.

[0089] The second temperature difference threshold is a threshold set based on relevant historical data and can be adjusted according to actual conditions.

[0090] The second preset condition includes: the first absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the left ear temperature curve within the preset time range, the second absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the right ear temperature curve within the preset time range, and the third absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the nasopharyngeal temperature curve within the preset time range, all of which are less than the absolute difference threshold.

[0091] It should be noted that the slope of the curve within the preset time range is obtained by dividing the difference between the last value and the first value of the curve within the preset range by the preset time.

[0092] It should be noted that the second preset condition indicates that the temperature curves do not change with the changes in the real-time set temperature curve, that is, there is no data following phenomenon between the temperature curves and the real-time set temperature curve.

[0093] The first absolute difference is the absolute value of the difference between the slope of the real-time set temperature curve within the preset time range and the slope of the left ear temperature curve within the preset time range. The second absolute difference is the absolute value of the difference between the slope of the real-time set temperature curve within the preset time range and the slope of the right ear temperature curve within the preset time range. The third absolute difference is the absolute value of the difference between the slope of the real-time set temperature curve within the preset time range and the slope of the nasopharyngeal temperature curve within the preset time range.

[0094] It should be noted that the first absolute difference is obtained by subtracting the slope of the real-time set temperature curve within the preset time range from the slope of the left ear temperature curve within the preset time range; the second absolute difference is obtained by subtracting the slope of the real-time set temperature curve within the preset time range from the slope of the right ear temperature curve within the preset time range; and the third absolute difference is obtained by subtracting the slope of the real-time set temperature curve within the preset time range from the slope of the nasopharyngeal temperature curve within the preset time range.

[0095] The third preset condition includes: the slope of multiple local impedance curves within a preset time range is greater than the first impedance slope threshold.

[0096] If the slopes of multiple local impedance curves within a preset time range are all greater than the first impedance slope threshold, it indicates that the trend of the multiple local impedance curves within the preset time range is stable.

[0097] It should be noted that the first impedance slope threshold is a threshold set based on relevant historical data and can be adjusted according to the actual situation.

[0098] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the heating phase of extracorporeal circulation of the object to be tested:

[0099] If the current left ear temperature and the current right ear temperature are both below the temperature threshold, and the slopes of the left ear temperature curve and the right ear temperature curve within the preset time range are both less than the temperature slope threshold, and the slopes of multiple local impedance curves within the preset time range are all greater than the first impedance slope threshold, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the first abnormal state.

[0100] It should be noted that both the temperature slope threshold and the first impedance slope threshold are set based on historical data and can be adjusted according to actual conditions.

[0101] It should be noted that the first abnormal condition is that there is a blockage in the brain of the subject being tested.

[0102] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the heating phase of extracorporeal circulation of the object to be tested:

[0103] If the difference between the maximum and minimum slopes of multiple local impedance curves within a preset time range is greater than the slope difference threshold, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the third abnormal state.

[0104] The third abnormal condition is that there is a local blockage in the brain of the subject being tested.

[0105] That is, the slope of each local impedance curve within a preset time range is calculated, and the slopes of each local impedance curve within the preset time range are sorted from smallest to largest. The largest and smallest slopes are selected, and the difference between the largest and smallest slopes is calculated. The result of the difference is compared with the slope difference threshold. If it is greater than the threshold, the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the third abnormal state.

[0106] It should be noted that if the difference between the maximum and minimum slopes of multiple local impedance curves within a preset time range is greater than the slope difference threshold, it indicates that the changing trends of the multiple local impedance curves are inconsistent, and the trends in some regions are different, which indicates that there is a local blockage in the brain of the subject being tested.

[0107] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the cooling phase of extracorporeal circulation of the object to be tested:

[0108] Based on the real-time set temperature curve and the target temperature curve, calculate the second Pearson correlation coefficient between the real-time set temperature curve and the target temperature curve;

[0109] If all of the first Pearson correlation coefficients are greater than the negative correlation threshold, and all of the second Pearson correlation coefficients are less than the positive correlation threshold, and there is a local impedance curve among the multiple local impedance curves whose slope is less than the second impedance slope threshold within a preset time range, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the fourth abnormal state.

[0110] The target temperature curve can be any one of the following: real-time set temperature curve, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve.

[0111] That is, it is determined whether multiple first Pearson correlation coefficients are all greater than the negative correlation threshold, and whether each second Pearson correlation coefficient is less than the positive correlation threshold. It is also determined whether there is a local impedance curve among multiple local impedance curves whose slope is less than the second impedance slope threshold within a preset time range. If all the determination results are yes, it indicates that the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the fourth abnormal state.

[0112] It should be noted that among multiple local impedance curves, the local impedance curve whose slope is less than the second impedance slope threshold within a preset time range is defined as: one or more local impedance curves among multiple local impedance curves have a slope less than the second impedance slope threshold within a preset time range.

[0113] It should be noted that the real-time set temperature curve is positively correlated with each temperature curve.

[0114] For example, such as Figure 4 The diagram shows the temperature of the left ear, the temperature of the right ear, the impedance of the left brain, and the impedance of the right brain.

[0115] It should be noted that the target temperature curve can be any one of the following: the left ear temperature curve, the right ear temperature curve, the nasopharyngeal temperature curve, and the bladder temperature curve. Furthermore, although this embodiment only calculates the second Pearson correlation coefficient between the real-time set temperature curve and the target temperature curve, in practical applications, the second Pearson correlation coefficients between the real-time set temperature curve and each of the individual temperature curves will be calculated.

[0116] The fourth abnormal state is that there is a blockage in the region corresponding to the local impedance curve whose slope is less than the second impedance slope threshold within a preset time range.

[0117] It should be noted that, in other embodiments of this application, the extracorporeal circulation detection device 1 further includes a parameter detection module, which is disposed at multiple preset positions of the extracorporeal circulation device 40, for real-time detection of device parameter data of the extracorporeal circulation device 40, and sends the data to the control module 30. The parameter detection module includes at least four data reading modules, which are disposed at multiple preset positions of the extracorporeal circulation device 40, and are respectively used to detect the real-time set temperature, real-time perfusion flow rate, real-time perfusion pressure, and real-time perfusion blood temperature of the extracorporeal circulation device 40.

[0118] It should be noted that, in this embodiment, the parameter detection module is a multifunctional module that includes a CPU, a temperature sensor, a flow sensor, and a pressure sensor and is installed on the circulation pipeline of the extracorporeal circulation detection device 1. The CPU is used to obtain the real-time set temperature of the extracorporeal circulation device 40 and send it to the control module 30. The temperature sensor is used to detect the real-time perfusion blood temperature, the flow sensor is used to detect the real-time perfusion flow rate, and the pressure sensor is used to detect the real-time perfusion pressure.

[0119] The real-time set temperature is the target temperature of the subject under test when the current extracorporeal circulation device 40 performs extracorporeal circulation. The real-time perfusion flow rate is the flow rate of blood perfused into the subject under test when the current extracorporeal circulation device 40 performs extracorporeal circulation. The real-time perfusion pressure is the pressure of blood perfused into the subject under test when the current extracorporeal circulation device 40 performs extracorporeal circulation. The real-time perfused blood temperature is the blood temperature of the subject under test when the current extracorporeal circulation device 40 performs extracorporeal circulation.

[0120] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the cooling phase of extracorporeal circulation of the object to be tested:

[0121] If any of the local impedance curves within a preset time range has a slope less than the second impedance slope threshold, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the fifth abnormal state.

[0122] When the slope of the real-time perfusion blood temperature within a preset time range is within a preset decreasing range, the real-time perfusion flow rate is within a preset flow rate range, and the real-time perfusion pressure is within a preset pressure range, if one or more local impedance curves among the multiple local impedance curves have a slope less than the second impedance slope threshold within a preset time range, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the fifth abnormal state.

[0123] It should be noted that when the real-time perfusion blood temperature and flow rate are within the normal range, it indicates that the overall blood vessels of the subject are patent and the blood perfusion process is smooth. During the cooling phase, the cooler blood diffuses with the blood circulation, thereby lowering the overall temperature of the subject. However, if there is partial blockage in the blood vessels of the brain, it can lead to inconsistent brain impedance.

[0124] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the heating phase of extracorporeal circulation of the object to be tested:

[0125] When the slope of the real-time perfusion blood temperature is within a preset time range and the real-time perfusion flow rate is within a preset flow rate range and the real-time perfusion pressure is within a preset pressure range, if there is a slope greater than the first impedance slope threshold among the slopes of the multiple local impedance curves within the preset time range, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the sixth abnormal state.

[0126] It should be noted that when the real-time perfusion blood temperature and flow rate are within the normal range, it indicates that the overall blood vessels of the subject are patent and the blood perfusion process is smooth. During the warming phase, the warmer blood diffuses with the blood circulation, thereby increasing the overall temperature of the subject. However, if there is partial blockage in the blood vessels of the brain, it can lead to inconsistent brain impedance.

[0127] In other embodiments of this application, the control module 30 is further configured to: when the extracorporeal circulation device 40 is in the deep cryogenic circulatory shutdown phase during extracorporeal circulation of the object to be tested:

[0128] When the slope of the real-time perfusion blood temperature within a preset time range is within a preset stable range, the real-time perfusion flow rate is within a preset flow rate range, and the real-time perfusion pressure is within a preset pressure range, if any of the slopes of the multiple local impedance curves within the preset time range has a slope greater than the second impedance slope threshold, or a slope less than the first impedance slope threshold, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the seventh abnormal state.

[0129] It should be noted that during the deep hypothermic circulatory arrest phase, if the subject has cerebral hemorrhage, the brain impedance will decrease; or if there is cerebral infarction, the brain impedance will increase. This trend is inconsistent with the impedance change trend in the part where the blood vessels are open.

[0130] In other embodiments of this application, the control module 30 is further configured to:

[0131] Based on the timestamps of the multiple local impedance curves, the average value of multiple local impedance values ​​at the same timestamp within a preset time range is calculated to determine the local average impedance curve.

[0132] The average value of multiple local impedance values ​​at the same timestamp within a preset time range is calculated, and the local average impedance curve is determined by fitting the values.

[0133] Calculate the impedance difference between the local average impedance curve and multiple local impedance curves respectively, and determine multiple impedance difference sequences.

[0134] The impedance difference between the local average impedance curve and the multiple local impedance curves at each time point within a preset time range is calculated to obtain multiple impedance difference values, and then multiple impedance difference value sequences are determined.

[0135] If there is an impedance difference greater than the impedance difference threshold among the multiple impedance difference sequences, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the eighth abnormal state.

[0136] It should be noted that when the blood vessels in the brain are unobstructed, the impedance curve difference is within a certain range. If the patient has a brain hemorrhage, the impedance will decrease, or if there is a cerebral infarction, the impedance will increase, and the impedance difference with the unobstructed part of the blood vessel will be larger.

[0137] If there is an impedance difference greater than the impedance difference threshold among the multiple impedance difference sequences, specifically: if there are one or more impedance differences greater than the impedance difference threshold among the multiple impedance differences in each impedance difference sequence, then the state of the extracorporeal circulation device 40 when performing extracorporeal circulation on the object to be tested is the eighth abnormal state.

[0138] In other embodiments of this application, the extracorporeal circulation detection device 1 further includes an alarm module and a display module, both of which are connected to the control module 30.

[0139] The alarm module is used to issue an alarm when the extracorporeal circulation device 40 is in an abnormal state during extracorporeal circulation of the object to be tested.

[0140] In other embodiments of this application, the alarm module is a buzzer. When the extracorporeal circulation device 40 is in an abnormal state during extracorporeal circulation of the object to be tested, the alarm module will sound an alarm.

[0141] The display module is used to display the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve.

[0142] For example, Figure 5 This is a schematic diagram of the architecture of the extracorporeal circulation detection device 1, wherein the host is the control module 30, the display is the display module, the temperature module is the temperature detection component, and the impedance detection module 10 includes 16 electrodes.

[0143] In a specific embodiment of this application, the device needs to issue a prompt when the following occurs:

[0144] 1. If the temperature difference between the left and right ears exceeds the set threshold, or if the trend of multiple local impedance curves has a weak correlation with the trend of the real-time set temperature curve (i.e., neither positive nor negative correlation is obvious), it suggests that there is a blockage in the brain of the subject being tested.

[0145] 2. The temperatures of the left ear, right ear, and nasopharynx were all significantly lower than the real-time set temperature of the extracorporeal circulation device 40, and there was no data tracking phenomenon. At the same time, multiple local impedance curves remained stable (indicating that blood was not supplied to the head), indicating that there was an obstruction in the body of the subject being tested.

[0146] 3. The nasopharyngeal temperature, bladder temperature and the real-time set temperature of the extracorporeal circulation device 40 kept up with the data, but the left ear temperature and right ear temperature were low and stable. At the same time, multiple local impedance curves remained stable, indicating that there was a blockage in the brain of the subject being tested, that is, blood was not being supplied to the brain.

[0147] 4. The temperatures of the left ear, right ear, nasopharynx, and bladder were all lower than the 40°C set temperature of the extracorporeal circulation device, but there was a data tracking phenomenon; moreover, the changing trends of multiple local impedance curves were inconsistent, and the trends of some areas were different, indicating that there was a local blockage in the brain.

[0148] 5. During the cooling process, if the changing trends of the local impedance curve, the left ear temperature curve, and the right ear temperature curve are inconsistent with the changing trend of the real-time set temperature curve, i.e., the correlation is not obvious, and the curves of local brain regions lag, that is, during the cooling phase, the local impedance of multiple brain regions will gradually increase as the temperature decreases. If the local impedance of a certain region does not increase, or only increases slowly after a period of time, it indicates that there is a blockage, which will alert the staff.

[0149] It should be noted that the extracorporeal circulation monitoring device 1 can provide brain protection, perform whole-brain impedance monitoring, provide staff with trend references of brain impedance, and efficiently provide staff with impedance information during aortic arch replacement surgery (extracorporeal circulation surgery).

[0150] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0151] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. An extracorporeal circulation detection apparatus characterized by comprising: The extracorporeal circulation detection device includes: The system includes a control module, an impedance detection module, and a temperature detection module, wherein the control module is connected to the impedance detection module and the temperature detection module. The impedance detection module is set at multiple preset positions on the head of the object to be tested, and is used to detect the impedance data of the brain of the object to be tested in real time and send it to the control module. The temperature detection module is set at multiple preset positions on the body of the object to be detected, and is used to detect the body temperature data of the object in real time and send it to the control module. The control module is connected to the extracorporeal circulation device and is used to acquire the real-time set temperature of the extracorporeal circulation device, and determine the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested based on the impedance data, body temperature data and real-time set temperature; The control module is also used for: The system acquires the real-time set temperature of the extracorporeal circulation device and receives multiple local impedance data and multiple body temperature data. The real-time set temperature, multiple local impedance data, and multiple body temperature data are fitted to determine the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve. Based on the temperature adjustment phase of the extracorporeal circulation device during extracorporeal circulation of the subject under test, the state of the extracorporeal circulation device during extracorporeal circulation of the subject under test is determined according to the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve; The control module is also used when the extracorporeal circulation device is in the heating phase of extracorporeal circulation of the object to be tested: If the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve and nasopharyngeal temperature curve simultaneously meet the first preset condition, the second preset condition and the third preset condition, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the second abnormal state. The first preset condition includes: the first temperature difference between the current real-time set temperature and the current left ear temperature, the second temperature difference between the current real-time set temperature and the current right ear temperature, and the third temperature difference between the current real-time set temperature and the current nasopharyngeal temperature, all of which are greater than the second temperature difference threshold. The second preset condition includes: the first absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the left ear temperature curve within the preset time range, the second absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the right ear temperature curve within the preset time range, and the third absolute difference between the slope of the real-time set temperature curve within the preset time range and the slope of the nasopharyngeal temperature curve within the preset time range, all of which are less than the absolute difference threshold. The third preset condition includes: the slope of multiple local impedance curves within a preset time range is greater than the first impedance slope threshold.

2. The extracorporeal circulation detection device according to claim 1, characterized in that, The impedance detection module includes multiple electrodes, each of which is set at a preset position on the head of the object to be tested. The control module is also used to perform real-time impedance detection on the brain of the target object through the multiple electrodes based on preset partition impedance detection rules, and to determine multiple local impedance data of the brain of the target object.

3. The extracorporeal circulation detection device according to claim 2, characterized in that, The temperature detection module includes at least four temperature detection components; the four temperature detection components are respectively located in the left ear, right ear, nasopharynx, and bladder of the subject to be tested.

4. The extracorporeal circulation detection device according to claim 1, characterized in that, The control module is also used when the extracorporeal circulation device is in the heating or cooling phase of the extracorporeal circulation process on the object to be tested: Based on the left ear temperature curve, calculate the average left ear temperature within a preset time range to determine the average left ear temperature; Based on the right ear temperature curve, calculate the average right ear temperature within a preset time range to determine the average right ear temperature; Calculate the difference between the average temperature of the left ear and the average temperature of the right ear to determine the temperature difference between the left and right ears; Based on the real-time set temperature curve and multiple local impedance curves, calculate the first Pearson correlation coefficient between the real-time set temperature curve and each local impedance curve. If the absolute value of the temperature difference between the left and right ears is greater than the first temperature difference threshold, or if there is a first Pearson correlation coefficient among the multiple first Pearson correlation coefficients that is greater than the negative correlation threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the first abnormal state.

5. The extracorporeal circulation detection device according to claim 1, characterized in that, The control module is also used when the extracorporeal circulation device is in the heating phase of extracorporeal circulation of the object to be tested: If the current temperature of the left ear and the current temperature of the right ear are both below the temperature threshold, and the slopes of the left ear temperature curve and the right ear temperature curve within the preset time range are both less than the temperature slope threshold, and the slopes of multiple local impedance curves within the preset time range are all greater than the first impedance slope threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the first abnormal state.

6. The extracorporeal circulation detection device according to claim 1, characterized in that, The control module is also used when the extracorporeal circulation device is in the heating phase of extracorporeal circulation of the object to be tested: If the difference between the maximum and minimum slopes of multiple local impedance curves within a preset time range is greater than the slope difference threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the third abnormal state.

7. The extracorporeal circulation detection device according to claim 4, characterized in that, The control module is also used when the extracorporeal circulation device is in the cooling phase of extracorporeal circulation of the object to be tested: Based on the real-time set temperature curve and the target temperature curve, calculate the second Pearson correlation coefficient between the real-time set temperature curve and the target temperature curve; the target temperature curve is any one of the left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve and bladder temperature curve. If all of the first Pearson correlation coefficients are greater than the negative correlation threshold, and all of the second Pearson correlation coefficients are less than the positive correlation threshold, and there is a local impedance curve among the multiple local impedance curves whose slope is less than the second impedance slope threshold within a preset time range, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the fourth abnormal state.

8. The extracorporeal circulation detection device according to claim 1, characterized in that, The control module is also used to: when the extracorporeal circulation device is in the cooling phase of extracorporeal circulation of the object to be tested: If any of the local impedance curves within a preset time range has a slope less than the second impedance slope threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the fifth abnormal state.

9. The extracorporeal circulation detection device according to claim 1, characterized in that, The control module is also used to: when the extracorporeal circulation device is in the heating phase of extracorporeal circulation of the object to be tested: If any of the local impedance curves within a preset time range has a slope greater than the first impedance slope threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the sixth abnormal state.

10. The extracorporeal circulation detection device according to claim 1, characterized in that, The control module is also used to: when the extracorporeal circulation device is in the deep cryogenic cycle-stop phase during extracorporeal circulation of the object to be tested: If any of the local impedance curves within a preset time range has a slope greater than the second impedance slope threshold, or a slope less than the first impedance slope threshold, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the seventh abnormal state.

11. The extracorporeal circulation detection device according to claim 1, characterized in that, The control module is also used for: Based on the timestamps of the multiple local impedance curves, the average value of multiple local impedance values ​​at the same timestamp within a preset time range is calculated to determine the local average impedance curve. Calculate the impedance difference between the local average impedance curve and multiple local impedance curves respectively, and determine multiple impedance difference sequences; If there is an impedance difference greater than the impedance difference threshold among the multiple impedance difference sequences, then the state of the extracorporeal circulation device when performing extracorporeal circulation on the object to be tested is the eighth abnormal state.

12. The extracorporeal circulation detection device according to any one of claims 4 to 11, characterized in that, The extracorporeal circulation detection device further includes an alarm module and a display module, both of which are connected to the control module. The alarm module is used to trigger an alarm when the extracorporeal circulation device is in an abnormal state when the extracorporeal circulation of the object to be tested is in an abnormal state. The display module is used to display the real-time set temperature curve, multiple local impedance curves, left ear temperature curve, right ear temperature curve, nasopharyngeal temperature curve, and bladder temperature curve.

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