Anesthesia assessment decision-making system and method based on brain department

Abstract

The invention discloses an anesthesia assessment decision-making system and method based on the brain department, and relates to the technical field of the brain department, assessment reference data of a target patient is called according to identity information of the target patient, then the assessment reference data is processed and analyzed, and a capping element array is selected; the evaluation accurate data is divided into a plurality of capping element sequences, a plurality of to-be-processed arrays contained in each capping element sequence are analyzed to determine a plurality of processing sequences of a plurality of capping combinations, and each processing sequence contains one feature of two to-be-processed arrays in the capping combinations; in this way, each capping element sequence does not directly contain the content of the two to-be-processed arrays, and a plurality of quantitative processing sequences are added in the capping element sequence, so that the processed evaluation capping data have higher safety, and the safety of medical data transmission is further ensured; and the risk of patient data leakage in anesthesia assessment decision making is avoided.

Description

Technical Field

[0001] The present invention relates to the field of brain science technology, and in particular to a brain-based anesthesia assessment decision-making system and method. Background Art

[0002] In brain surgery, the precise implementation of anesthesia plays a vital role in the success of the operation and the patient's postoperative recovery. Traditional anesthesia assessment and decision-making mostly rely on the anesthesiologist's clinical experience and understanding of the patient's basic vital signs and limited medical history. However, the high complexity of brain structure and function makes it difficult for this conventional method to meet the requirements of modern brain surgery for refined anesthesia management.

[0003] With the continuous advancement of medical technology, a large amount of data related to patients' brain conditions can be collected and stored. In-depth analysis of these multi-dimensional data can reveal the unique characteristics of individual patients in terms of brain physiology, pathology, and responsiveness to anesthetic drugs, thereby providing an extremely valuable basis for anesthesiologists to formulate more personalized anesthesia plans. Through precise personalized anesthesia plans, problems such as shallow or deep anesthesia depth caused by improper anesthesia dosage can be effectively avoided, thereby significantly reducing the risk of complications such as intraoperative awareness, postoperative cognitive dysfunction, cerebral circulation abnormalities, and respiratory depression, greatly improving the overall safety of brain surgery and the quality of patient prognosis;

[0004] In the process of using patient data for anesthesia assessment and decision-making, data security and privacy protection are indispensable key links. At present, although some medical data transmission adopts key encryption, key management itself is a complex and error-prone process. The key may be leaked due to improper storage, negligence or system vulnerabilities, which will in turn lead to the leakage of patient-related data. Such data leakage incidents will not only infringe on the privacy rights of patients, but also may lead to medical decision-making errors, causing irreparable harm to patients, and will also cause great damage to the reputation and credibility of medical institutions;

[0005] In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0006] The present invention provides an anesthesia assessment decision system and method based on neurology, aiming to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] An anesthesia assessment and decision-making system based on brain science, comprising:

[0009] An information storage unit, used to retrieve the evaluation benchmark data of the target patient after receiving the identity information of the target patient;

[0010] A processing unit is called up to process the evaluation benchmark data of the target patient according to a preset processing rule after receiving the evaluation benchmark data to obtain the evaluation capped data of the target patient;

[0011] The anesthesia assessment receiving end is used to receive and restore the assessment stamped data of the target patient for display.

[0012] Furthermore, the anesthesia assessment receiving end is also used to collect the identity information of the target patient typed by the anesthesiologist, and the identity information includes name, age, gender, telephone number and ID number.

[0013] Furthermore, the processing rules for obtaining the evaluation stamped data of the target patient are as follows:

[0014] S11: from left to right, every four characters in the evaluation processing data are taken as a group of arrays to be processed to obtain a plurality of groups of arrays to be processed, and all the obtained arrays to be processed are marked as A1, A2, ..., Aa from left to right according to the position of each group of arrays to be processed in the evaluation processing data, where a≥1;

[0015] S12: Traverse the arrays A1, A2, ..., Aa to be processed, obtain the number of the arrays to be processed that are consistent with the four-bit binary number of the number 0, and mark the number as the first feature value B0 of the four-bit binary number of the number 0;

[0016] Similarly, the first characteristic quantities B1, B2, ..., B15 of the four-bit binary numbers of the numbers 1, 2, ..., 15 are obtained in sequence;

[0017] S13: Obtain all the mark subscripts of the array to be processed that are consistent with the four-digit binary number of the number 0 from the array to be processed A1, A2, ..., Aa, and delete the adjacent numbers therefrom to obtain the number of the deleted mark subscripts and the number of all the mark subscripts remaining after the deletion;

[0018] The number of deleted mark subscripts is calibrated as the second characteristic value C0 of the four-bit binary number of the number 0, and the number of all remaining mark subscripts after the deletion is calibrated as the third characteristic value D0 of the four-bit binary number of the number 0, wherein adjacent numbers refer to that there is no other number interval between two numbers in the natural order arrangement presented by all the acquired mark subscripts;

[0019] Similarly, the second characteristic quantities C1, C2, ..., C15 and the third characteristic quantities D1, D2, ..., D15 of the four-bit binary numbers of the numbers 1, 2, ..., 15 are obtained in sequence;

[0020] S14: Calculate the characteristic combined estimation benchmark E0 of the four-bit binary number of the number 0 using the formula E0=B0×ɑ1+(C0 / D0)×ɑ2, where ɑ1 and ɑ2 are respectively the preset first and second proportion factors;

[0021] S15: according to S14, characteristic combined estimation benchmarks E1, E2, ..., E15 of four-bit binary numbers of numbers 1, 2, ..., 15 are calculated in sequence, and the four-bit binary number corresponding to the characteristic combined estimation benchmark with the largest value is selected from the characteristic combined estimation benchmarks E1, E2, ..., E15 as the stamped element array of the evaluation processing data;

[0022] S16: dividing the evaluation processing data into a plurality of capping element sequences according to the capping element array;

[0023] S17: according to the position of each capped meta-sequence in the evaluation processing data, mark all the capped meta-sequences divided into F1, F2, ..., Ff from left to right, where f≥1;

[0024] S18: re-label all the to-be-processed arrays constituting the capping element sequence F1 as G1, G2, ..., Gg in order from left to right, where g≥1; when g is an odd number, capping the capping element sequence F1 is performed according to a preset odd number capping rule to obtain a capping processing sequence of the capping element sequence F1; when g is an even number, capping the capping element sequence F1 is performed according to a preset even number capping rule to obtain a capping processing sequence of the capping element sequence F1;

[0025] S19: Obtain the capping processing sequence of the capping element sequences F2, F3, ..., Ff in sequence according to S18;

[0026] The capping processing sequences of the capping meta-sequences F1, F2, ..., Ff are spliced ​​in the order of the capping meta-sequences F1, F2, ..., Ff to obtain the evaluation capping data of the target patient.

[0027] A brain-based anesthesia assessment decision-making method comprises the following steps:

[0028] Step 1: The anesthesia assessment receiving end receives the identity information of the target patient keyed in by the anesthesiologist and transmits it to the information storage unit;

[0029] Step 2: The information storage unit retrieves the target patient's assessment benchmark data based on the received target patient's identity information and transmits it to the retrieval processing unit;

[0030] Step 3: after receiving the evaluation benchmark data of the target patient, the processing unit processes the data according to a preset processing rule to obtain the evaluation capped data of the target patient, and transmits the evaluation capped data to the anesthesia evaluation receiving terminal;

[0031] Step 4: After receiving the transmitted assessment stamped data of the target patient, the anesthesia assessment receiving end restores the assessment stamped data to obtain the assessment baseline data of the target patient, and displays the assessment baseline data of the target patient to the anesthesiologist for review.

[0032] The present invention provides an anesthesia assessment decision system and method based on brain science. Compared with the prior art, it has the following beneficial effects:

[0033] The present invention retrieves the evaluation benchmark data of the target patient according to the identity information of the target patient, and then processes the evaluation benchmark data. During the processing, the evaluation benchmark data is analyzed to select a stamped element array, and then the evaluation benchmark data is divided into a plurality of stamped element sequences. For each group of stamped element sequences, the plurality of arrays to be processed contained therein are analyzed to determine the first, second, third, and fourth processing series of a plurality of stamped combinations, and then the first, second, third, and fourth processing series are spliced ​​to obtain the stamped processing series of each group of stamped element sequences. Each group of processing series includes a feature of the two groups of arrays to be processed in the stamped combination, thereby making each group of stamped element sequences not directly include the contents of the two groups of arrays to be processed and adding a plurality of quantitative processing series to the stamped element sequences, so that the processed evaluation stamped data has confusing and complexity, and the processed evaluation stamped data has higher security, further ensuring the security of medical data transmission, and avoiding the risk of patient data leakage in anesthesia evaluation decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a system block diagram of the present invention;

[0035] Figure 2 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 , Figure 2 , the present application provides a brain-based anesthesia assessment decision system and method, including an information source end and an anesthesia assessment receiving end;

[0038] The information source is used to retrieve the evaluation benchmark data of the patient stored therein after receiving the patient's identity information, wherein the evaluation benchmark data refers to data related to the evaluation of cerebral anesthesia. In this application, the evaluation benchmark data includes past medical history, allergy history, family genetic disease history, blood routine test result data, coagulation function test result data, liver and kidney function test result data, head CT or MRI test result data, cerebral angiography data, electroencephalogram data, evoked potential data and neuropsychological test result data, etc.;

[0039] Identity information includes but is not limited to the patient's name, age, gender, telephone number, and ID number;

[0040] The information source end includes an information storage unit and a retrieval processing unit, wherein the information storage unit stores evaluation benchmark data of a number of patients;

[0041] After receiving the transmitted identity information of the target patient, the information storage unit acquires the evaluation benchmark data of the target patient stored in the information storage unit according to the identity information, and transmits the evaluation benchmark data of the target patient to the retrieval processing unit;

[0042] After receiving the transmitted evaluation benchmark data of the target patient, the retrieval processing unit performs binary conversion on the evaluation benchmark data, and calibrates the converted data as the evaluation processing data of the target patient;

[0043] After obtaining the evaluation processing data of the target patient, the retrieval processing unit processes the evaluation processing data according to a preset processing rule, and the processing rule is as follows:

[0044] S11: from left to right, every four characters in the evaluation processing data are taken as a group of arrays to be processed to obtain a plurality of groups of arrays to be processed, and all the obtained arrays to be processed are marked as A1, A2, ..., Aa from left to right according to the position of each group of arrays to be processed in the evaluation processing data, where a≥1;

[0045] S12: Traverse the arrays A1, A2, ..., Aa to be processed, obtain the number of the arrays to be processed that are consistent with the four-bit binary number of the number 0, and mark the number as the first feature value B0 of the four-bit binary number of the number 0;

[0046] Similarly, the first characteristic quantities B1, B2, ..., B15 of the four-bit binary numbers of the numbers 1, 2, ..., 15 are obtained in sequence;

[0047] S13: Obtain all the mark subscripts of the array to be processed that are consistent with the four-digit binary number of the number 0 from the array to be processed A1, A2, ..., Aa, and delete the adjacent numbers therefrom to obtain the number of the deleted mark subscripts and the number of all the mark subscripts remaining after the deletion;

[0048] The number of deleted mark subscripts is calibrated as the second characteristic value C0 of the four-bit binary number of the number 0, and the number of all remaining mark subscripts after the deletion is calibrated as the third characteristic value D0 of the four-bit binary number of the number 0, wherein adjacent numbers refer to that there is no other number interval between two numbers in the natural order arrangement presented by all the acquired mark subscripts;

[0049] For example, the obtained mark subscripts are 1, 3, 4, 7, 9, 11, 13, 14, and 19, among which there are two groups of adjacent numbers, one group is 3 and 4, and the other group is 13 and 14. After deleting, the remaining mark subscripts are 1, 7, 9, 11, and 19.

[0050] Similarly, the second characteristic quantities C1, C2, ..., C15 and the third characteristic quantities D1, D2, ..., D15 of the four-bit binary numbers of the numbers 1, 2, ..., 15 are obtained in sequence;

[0051] S14: Calculate the characteristic combined estimation benchmark E0 of the four-bit binary number of the number 0 using the formula E0=B0×ɑ1+(C0 / D0)×ɑ2, where ɑ1 and ɑ2 are respectively the preset first and second proportion factors;

[0052] S15: according to S14, characteristic combined estimation benchmarks E1, E2, ..., E15 of four-bit binary numbers of numbers 1, 2, ..., 15 are calculated in sequence;

[0053] Selecting a four-bit binary number corresponding to the feature combined evaluation benchmark with the largest value from the feature combined evaluation benchmarks E1, E2, ..., E15 as the stamped element array of the evaluation processing data;

[0054] S16: dividing the evaluation processing data into a plurality of capped element sequences according to the capped element array, each of which is composed of a plurality of groups of to-be-processed arrays with consecutive marking subscripts in the to-be-processed arrays A1, A2, ..., Aa, and the to-be-processed array with the smallest marking subscript value among all the to-be-processed arrays constituting each capped element sequence is consistent with the capped element array;

[0055] Among all the arrays to be processed that constitute each capping element sequence, only one array to be processed is consistent with the capping element array;

[0056] It should be noted here that the several capped element sequences divided are composed of the arrays to be processed A1, A2, ..., Aa;

[0057] S17: according to the position of each capped meta-sequence in the evaluation processing data, mark all the capped meta-sequences divided into F1, F2, ..., Ff from left to right, where f≥1;

[0058] S18: Re-label all the to-be-processed arrays constituting the capping element sequence F1 as G1, G2, ..., Gg in order from left to right, where g≥1. When g is an odd number, the capping element sequence F1 is capped according to a preset odd number capping rule to obtain a capping processing sequence of the capping element sequence F1. The odd number capping rule is as follows:

[0059] SS11: G1 and Gg, G2 and Gg-1, ..., and As a set of stamped combinations, the corresponding marks are H1, H2, ...,

[0060] SS12: performing bitwise AND operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenating the results obtained by the bitwise operation to obtain the first processing sequence of the capped combination H1;

[0061] From left to right, the first character in the first processing sequence is the result of AND operation of the first character in the combination to be processed G1 and the first character in the combination to be processed Gg, and so on, the second, third, and fourth characters in the first processing sequence are the result of AND operation of the second, third, and fourth characters in the combination to be processed G1 and the second, third, and fourth characters in the combination to be processed Gg;

[0062] SS13: Performing an OR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenating the results obtained by the bitwise operation to obtain a second processing sequence capped with the combination H1;

[0063] From left to right, the first character in the second processing sequence is the result of the OR operation of the first character in the combination to be processed G1 and the first character in the combination to be processed Gg, and so on, the second, third, and fourth characters in the second processing sequence are the result of the OR operation of the second, third, and fourth characters in the combination to be processed G1 and the second, third, and fourth characters in the combination to be processed Gg;

[0064] SS14: performing bitwise XOR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenating the results obtained by the bitwise operation to obtain a third processing sequence capped with the combination H1;

[0065] From left to right, the first character in the second processing sequence is the XOR result of the first character in the combination to be processed G1 and the first character in the combination to be processed Gg, and so on, the second, third, and fourth characters in the second processing sequence are the XOR results of the second, third, and fourth characters in the combination to be processed G1 and the second, third, and fourth characters in the combination to be processed Gg;

[0066] SS15: compare all characters constituting the combination G1 to be processed with all characters constituting the combination Gg to be processed bit by bit for consistency. Specifically, the first character constituting the combination G1 to be processed and the first character constituting the combination Gg to be processed: if they are consistent and both are 1, then character string 11 is used as the mapping string of the first character constituting the combination G1 to be processed; if they are consistent and both are 0, then character string 10 is used as the mapping string of the first character constituting the combination G1 to be processed; if they are inconsistent, and the first character constituting the combination G1 to be processed is 1, then character string 00 is used as the mapping string of the first character constituting the combination G1 to be processed; if they are inconsistent, and the first character constituting the combination G1 to be processed is 0, then character string 01 is used as the mapping string of the first character constituting the combination G1 to be processed, and so on, to obtain the mapping strings of the second, third, and fourth characters constituting the combination G1 to be processed in turn;

[0067] The mapping strings of the second, third and fourth characters constituting the combination to be processed G1 are concatenated in the order of the first, second, third and fourth characters to obtain a fourth processing sequence of the capped combination H1;

[0068] SS16: Concatenate the first, second, third and fourth processing sequences of the capping combination H1 in the order of the first, second, third and fourth sequences to obtain the capping processing sequence of the capping element sequence F1;

[0069] It should be noted here that No processing is done;

[0070] When g is an even number, the capping element sequence F1 is capped according to the preset even number capping rule to obtain the capping processing sequence of the capping element sequence F1. The even number capping rule is as follows:

[0071] SS21: G1 and Gg, G2 and Gg-1, ..., and As a set of stamped combinations, the corresponding marks are H1, H2, ...,

[0072] SS22: performing an AND operation on all characters constituting the combination H1 to be processed and all characters constituting the combination Hg to be processed, and concatenating the results obtained by the bitwise operation to obtain a first processing sequence capped with the combination H1;

[0073] From left to right, the first character in the first processing sequence is the result of AND operation of the first character in the combination to be processed H1 and the first character in the combination to be processed Hg, and so on, the second, third, and fourth characters in the first processing sequence are the result of AND operation of the second, third, and fourth characters in the combination to be processed H1 and the second, third, and fourth characters in the combination to be processed Hg;

[0074] SS23: Performing an OR operation on all characters constituting the combination H1 to be processed and all characters constituting the combination Hg to be processed, and concatenating the results obtained by the bitwise operation to obtain a second processing sequence capped with the combination H1;

[0075] From left to right, the first character in the second processing sequence is the result of the OR operation of the first character in the combination to be processed H1 and the first character in the combination to be processed Hg, and so on, the second, third, and fourth characters in the second processing sequence are the result of the OR operation of the second, third, and fourth characters in the combination to be processed H1 and the second, third, and fourth characters in the combination to be processed Hg;

[0076] SS24: performing bitwise XOR operation on all characters constituting the combination H1 to be processed and all characters constituting the combination Hg to be processed, and concatenating the results obtained by the bitwise operation to obtain a third processing sequence capped with the combination H1;

[0077] From left to right, the first character in the second processing sequence is the XOR operation result of the first character in the combination to be processed H1 and the first character in the combination to be processed Hg, and so on, the second, third, and fourth characters in the second processing sequence are the XOR operation results of the second, third, and fourth characters in the combination to be processed H1 and the second, third, and fourth characters in the combination to be processed Hg;

[0078] SS25: compare all characters constituting the combination H1 to be processed with all characters constituting the combination Hg to be processed bit by bit for consistency. Specifically, the first character constituting the combination H1 to be processed and the first character constituting the combination Hg to be processed: if they are consistent and both are 1, then character string 11 is used as the mapping string of the first character constituting the combination H1 to be processed; if they are consistent and both are 0, then character string 10 is used as the mapping string of the first character constituting the combination H1 to be processed; if they are inconsistent, and the first character constituting the combination H1 to be processed is 1, then character string 00 is used as the mapping string of the first character constituting the combination H1 to be processed; if they are inconsistent, and the first character constituting the combination H1 to be processed is 0, then character string 01 is used as the mapping string of the first character constituting the combination H1 to be processed, and so on, to obtain the mapping strings of the second, third, and fourth characters constituting the combination H1 to be processed in turn;

[0079] The mapping strings of the second, third and fourth characters constituting the combination H1 to be processed are concatenated in the order of the first, second, third and fourth characters to obtain a fourth processing sequence of the capped combination H1;

[0080] SS26: Concatenate the first, second, third, and fourth processing sequences of the capping combination H1 in the order of the first, second, third, and fourth sequences to obtain the capping processing sequence of the capping element sequence F1;

[0081] S19: Obtain the capping processing sequence of the capping element sequences F2, F3, ..., Ff in sequence according to S18;

[0082] Concatenating the capping processed sequences of the capping meta-sequences F1, F2, ..., Ff in the order of the capping meta-sequences F1, F2, ..., Ff to obtain the evaluation capping data of the target patient;

[0083] transmitting the target patient's assessment stamped data to an anesthesia assessment receiving terminal;

[0084] The anesthesia assessment receiving end is used to receive the assessment stamped data of the target patient, and the anesthesia assessment receiving end is further used to restore the assessment stamped data to obtain the assessment benchmark data of the target patient after receiving the assessment stamped data of the target patient, and display the assessment benchmark data of the target patient to the anesthesiologist for review;

[0085] The anesthesia assessment receiving end is also used to collect the identity information of the target patient typed by the anesthesiologist and transmit the identity information of the target patient to the information source end;

[0086] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0087] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A brain-based anesthesia assessment and decision-making system, characterized in that: include: An information storage unit, used to retrieve the evaluation benchmark data of the target patient after receiving the identity information of the target patient; A processing unit is called up to process the evaluation benchmark data of the target patient according to a preset processing rule after receiving the evaluation benchmark data to obtain the evaluation capped data of the target patient; The anesthesia assessment receiving end is used to receive and restore the assessment stamped data of the target patient for display.

2. The anesthesia assessment and decision-making system based on brain science according to claim 1, characterized in that: The anesthesia assessment receiving end is also used to collect the identity information of the target patient typed in by the anesthesiologist, which includes name, age, gender, telephone number and ID number.

3. The anesthesia assessment and decision-making system based on brain science according to claim 1, characterized in that: The evaluation benchmark data include past medical history, allergy history, family genetic disease history, blood routine test results, coagulation function test results, liver and kidney function test results, head CT or MRI examination results, cerebral angiography data, electroencephalogram data, evoked potential data and neuropsychological test results data.

4. The anesthesia assessment and decision-making system based on brain science according to claim 1, characterized in that: The processing rules for obtaining the target patient's assessment stamped data are as follows: S11: from left to right, every four characters in the evaluation processing data are taken as a group of arrays to be processed to obtain a plurality of groups of arrays to be processed, and all the obtained arrays to be processed are marked as A1, A2, ..., Aa from left to right according to the position of each group of arrays to be processed in the evaluation processing data, where a≥1; S12: Traverse the arrays A1, A2, ..., Aa to be processed, obtain the number of the arrays to be processed that are consistent with the four-bit binary number of the number 0, and mark the number as the first feature value B0 of the four-bit binary number of the number 0; Similarly, the first characteristic quantities B1, B2, ..., B15 of the four-bit binary numbers of the numbers 1, 2, ..., 15 are obtained in sequence; S13: Obtain all the mark subscripts of the array to be processed that are consistent with the four-digit binary number of the number 0 from the array to be processed A1, A2, ..., Aa, and delete the adjacent numbers therefrom to obtain the number of the deleted mark subscripts and the number of all the mark subscripts remaining after the deletion; The number of deleted mark subscripts is calibrated as the second characteristic value C0 of the four-bit binary number of the number 0, and the number of all remaining mark subscripts after the deletion is calibrated as the third characteristic value D0 of the four-bit binary number of the number 0, wherein adjacent numbers refer to that there is no other number interval between two numbers in the natural order arrangement presented by all the acquired mark subscripts; Similarly, the second characteristic quantities C1, C2, ..., C15 and the third characteristic quantities D1, D2, ..., D15 of the four-bit binary numbers of the numbers 1, 2, ..., 15 are obtained in sequence; S14: Calculate the characteristic combined estimation benchmark E0 of the four-bit binary number of the number 0 using the formula E0=B0×ɑ1+(C0 / D0)×ɑ2, where ɑ1 and ɑ2 are respectively the preset first and second proportion factors; S15: according to S14, characteristic combined estimation benchmarks E1, E2, ..., E15 of four-bit binary numbers of numbers 1, 2, ..., 15 are calculated in sequence, and the four-bit binary number corresponding to the characteristic combined estimation benchmark with the largest value is selected from the characteristic combined estimation benchmarks E1, E2, ..., E15 as the stamped element array of the evaluation processing data; S16: dividing the evaluation processing data into a plurality of capping element sequences according to the capping element array; S17: according to the position of each capped meta-sequence in the evaluation processing data, mark all the capped meta-sequences divided into F1, F2, ..., Ff from left to right, where f≥1; S18: re-label all the to-be-processed arrays constituting the capping element sequence F1 as G1, G2, ..., Gg in order from left to right, where g≥1; when g is an odd number, capping the capping element sequence F1 is performed according to a preset odd number capping rule to obtain a capping processing sequence of the capping element sequence F1; when g is an even number, capping the capping element sequence F1 is performed according to a preset even number capping rule to obtain a capping processing sequence of the capping element sequence F1; S19: Obtain the capping processing sequence of the capping element sequences F2, F3, ..., Ff in sequence according to S18; The capping processing sequences of the capping meta-sequences F1, F2, ..., Ff are spliced ​​in the order of the capping meta-sequences F1, F2, ..., Ff to obtain the evaluation capping data of the target patient.

5. The anesthesia assessment and decision-making system based on brain science according to claim 4, characterized in that: In S16, each of the divided capped element sequences is composed of a number of groups of to-be-processed arrays with consecutive marking subscripts in the to-be-processed arrays A1, A2, ..., Aa, and the to-be-processed array with the smallest marking subscript value among all the to-be-processed arrays constituting each capped element sequence is consistent with the capped element array; Among all the arrays to be processed that constitute each capping element sequence, only one array to be processed is consistent with the capping element array.

6. The anesthesia assessment and decision-making system based on brain science according to claim 4, characterized in that: S18, the odd-number capping rule of the capping processing sequence obtained by capping the capping element sequence F1 is as follows: SS11: G1 and Gg, G2 and and As a set of capped combinations, the corresponding marks are SS12: performing bitwise AND operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenating the results obtained by the bitwise operation to obtain the first processing sequence of the capped combination H1; SS13: Performing an OR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenating the results obtained by the bitwise operation to obtain a second processing sequence capped with the combination H1; SS14: performing bitwise XOR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenating the results obtained by the bitwise operation to obtain a third processing sequence capped with the combination H1; SS15: compare all characters constituting the combination G1 to be processed with all characters constituting the combination Gg to be processed bit by bit for consistency, and obtain a fourth processing sequence of the capped combination H1 according to the comparison result; SS16: Concatenate the first, second, third and fourth processing number sequences of the capping combination H1 in the order of the first, second, third and fourth number sequences to obtain the capping processing sequence of the capping element sequence F1.

7. The anesthesia assessment and decision-making system based on brain science according to claim 6, characterized in that: In S15, the fourth processing sequence of the stamped combination H1 is obtained, which is as follows: the first character of the combination G1 to be processed and the first character of the combination Gg to be processed: if they are consistent and both are 1, the character string 11 is used as the mapping string of the first character of the combination G1 to be processed; if they are consistent and both are 0, the character string 10 is used as the mapping string of the first character of the combination G1 to be processed; if they are inconsistent, and the first character of the combination G1 to be processed is 1, the character string 00 is used as the mapping string of the first character of the combination G1 to be processed; if they are inconsistent, and the first character of the combination G1 to be processed is 0, the character string 01 is used as the mapping string of the first character of the combination G1 to be processed, and so on, to obtain the mapping strings of the second, third, and fourth characters constituting the combination G1 to be processed in turn; The mapping strings of the second, third and fourth characters constituting the combination to be processed G1 are concatenated in the order of the first, second, third and fourth characters to obtain the fourth processing sequence of the capping combination H1.

8. A method for anesthesia assessment and decision-making based on brain science, characterized in that: The following steps are involved: Step 1: The anesthesia assessment receiving end receives the identity information of the target patient keyed in by the anesthesiologist and transmits it to the information storage unit; Step 2: The information storage unit retrieves the target patient's assessment benchmark data based on the received target patient's identity information and transmits it to the retrieval processing unit; Step 3: after receiving the evaluation benchmark data of the target patient, the processing unit processes the data according to a preset processing rule to obtain the evaluation capped data of the target patient, and transmits the evaluation capped data to the anesthesia evaluation receiving terminal; Step 4: After receiving the transmitted assessment stamped data of the target patient, the anesthesia assessment receiving end restores the assessment stamped data to obtain the assessment baseline data of the target patient, and displays the assessment baseline data of the target patient to the anesthesiologist for review.

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