Anesthesia assessment decision system and method based on brain science

Abstract

The present invention discloses an anesthesia assessment decision system and method based on neurology, which relates to the field of neurology technology. The present invention retrieves the assessment benchmark data of the target patient according to the identity information of the target patient, then processes and analyzes the assessment benchmark data, selects a capped element array, and then divides the assessment benchmark data into multiple capped element sequences. For each group of capped element sequences, the multiple arrays to be processed contained therein are analyzed to determine multiple processing series of multiple capped combinations. Each group of processing series contains a feature of two groups of arrays to be processed in the capped combination. In this way, each group of capped element sequences does not directly contain the contents of the two groups of arrays to be processed and multiple groups of quantitative processing series are added to the capped element sequences, so that the processed assessment capped data has higher security, further ensures the security of medical data transmission, and avoids the risk of patient data leakage in anesthesia assessment decision.

Description

Technical Field

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

[0002] In brain surgery, precise anesthesia delivery plays a crucial role in both surgical success and the patient's postoperative recovery. Traditional anesthesia assessment and decision-making largely rely on the anesthesiologist's clinical experience and understanding of the patient's basic vital signs and limited medical history. However, the complex structure and function of the brain make this conventional approach difficult 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 has been collected and stored. In-depth analysis of this multi-dimensional data can reveal the unique characteristics of individual patients in terms of brain physiology, pathology, and responsiveness to anesthetic drugs, providing an extremely valuable basis for anesthesiologists to develop more personalized anesthesia plans. Through precise personalized anesthesia plans, problems such as shallow or deep anesthesia caused by inappropriate anesthetic 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] When using patient data for anesthesia assessment and decision-making, data security and privacy are essential. Currently, although some medical data transmission uses key encryption, key management itself is a complex and error-prone process. Keys can be leaked due to improper storage, human negligence, or system vulnerabilities, which in turn can lead to the disclosure of patient-related data. Such data leaks not only infringe on patients' privacy rights but can also lead to medical decision-making errors, causing irreparable harm to patients and significantly damaging 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-making system and method based on neurology, aiming to solve the problems raised in the above 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, including:

[0009] An information storage unit, configured to retrieve the target patient's assessment benchmark data after receiving the target patient's identity information;

[0010] The processing unit is used to process the evaluation baseline data of the target patient according to the preset processing rules after receiving the evaluation baseline 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.

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

[0013] Furthermore, the processing rules for obtaining the target patient's assessment stamped data are as follows:

[0014] S11: from left to right, every four characters in the evaluation and processing data are used 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 labeled A1, A2, ..., Aa from left to right according to the position of each group of arrays to be processed in the evaluation and processing data, where a≥1;

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

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

[0017] S13: Obtain all the marker 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 adjacent numbers therefrom, and obtain the number of deleted marker subscripts and the number of all remaining marker subscripts after the deletion;

[0018] The number of deleted mark subscripts is calibrated as the second characteristic value C0 of the four-digit 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-digit binary number of the number 0, where adjacent numbers refer to numbers that do not have other numbers between them in the natural order of all the acquired mark subscripts;

[0019] Similarly, the second characteristic values ​​C1, C2, ..., C15 and the third characteristic values ​​D1, D2, ..., D15 of the four-bit binary 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 the preset first and second proportion factors respectively;

[0021] S15: sequentially calculating and obtaining characteristic combined estimation benchmarks E1, E2, ..., E15 of four-digit binary numbers of the numbers 1, 2, ..., 15 according to S14, and selecting the four-digit binary number corresponding to the characteristic combined estimation benchmark with the largest value from the characteristic combined estimation benchmarks E1, E2, ..., E15 as the capped element array of the evaluation processing data;

[0022] S16: dividing the evaluation processed 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 data, mark all the capped meta-sequences divided from left to right as F1, F2, ..., Ff, where f≥1;

[0024] S18: relabeling all 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; and 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 and decision-making method comprises the following steps:

[0028] Step 1: The anesthesia assessment receiving end receives the identity information of the target patient entered 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 target patient's assessment baseline data, the processing unit processes the data according to a preset processing rule to obtain the target patient's assessment capped data, and transmits the assessment capped data to the anesthesia assessment 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 a neuroscience-based anesthesia assessment and decision-making system and method. Compared with the existing technology, it has the following advantages:

[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 capped element array, and then the evaluation benchmark data is divided into multiple capped element sequences. For each group of capped element sequences, the multiple arrays to be processed contained therein are analyzed to determine the first, second, third, and fourth processing series of multiple capped combinations, and then the capped processing series are spliced ​​to obtain the capped processing series of each group of capped element sequences. Each group of processing series contains a feature of the two groups of arrays to be processed in the capped combination. In this way, each group of capped element sequences does not directly contain the contents of the two groups of arrays to be processed and multiple groups of quantitative processing series are added to the capped element sequences, so that the processed evaluation capped data has confusing and complexity, and the processed evaluation capped data has higher security, further ensures the security of medical data transmission, and avoids 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 clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

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

[0038] The information source is used to retrieve the patient's evaluation benchmark data stored therein after receiving the patient's identity information, wherein the evaluation benchmark data refers to data related to brain anesthesia evaluation. 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 examination 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 the assessment benchmark data of a plurality of patients;

[0041] After receiving the transmitted identity information of the target patient, the information storage unit obtains 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 the preset processing rules. The processing rules are as follows:

[0044] S11: from left to right, every four characters in the evaluation and processing data are used 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 labeled A1, A2, ..., Aa from left to right according to the position of each group of arrays to be processed in the evaluation and processing data, where a≥1;

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

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

[0047] S13: Obtain all the marker 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 adjacent numbers therefrom, and obtain the number of deleted marker subscripts and the number of all remaining marker subscripts after the deletion;

[0048] The number of deleted mark subscripts is calibrated as the second characteristic value C0 of the four-digit 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-digit binary number of the number 0, where adjacent numbers refer to numbers that do not have other numbers between them in the natural order of all the acquired mark subscripts;

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

[0050] Similarly, the second characteristic values ​​C1, C2, ..., C15 and the third characteristic values ​​D1, D2, ..., D15 of the four-bit binary 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 the preset first and second proportion factors respectively;

[0052] S15: Calculate and obtain characteristic combined estimation benchmarks E1, E2, ..., E15 of the four-digit binary numbers 1, 2, ..., 15 in sequence according to S14;

[0053] Selecting a four-bit binary number corresponding to the largest feature combined estimation benchmark from the feature combined estimation benchmarks E1, E2, ..., E15 as the capped 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 capped element sequence being composed of a plurality of groups of to-be-processed arrays with consecutive mark subscripts in the to-be-processed arrays A1, A2, ..., Aa, and the to-be-processed array with the smallest mark subscript value among all the to-be-processed arrays constituting each capped element sequence being 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 divided several capped element sequences 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 data, mark all the capped meta-sequences divided from left to right as F1, F2, ..., Ff, 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, 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. 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: Perform a bitwise AND operation on all characters constituting the combination to be processed G1 and all characters constituting the combination to be processed Gg, and concatenate the results of the bitwise operation to obtain a 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 the AND operation of the first character in the combination to be processed G1 and the first character in the combination to be processed Gg. Similarly, the second, third, and fourth characters in the first processing sequence are the result of the 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: Perform a bitwise OR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenate the results of 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. Similarly, 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: Perform bitwise XOR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenate the results of 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 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 use the character string 11 as the mapping string for the first character constituting the combination G1 to be processed; if they are consistent and both are 0, then use the character string 10 as the mapping string for 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 use the character string 00 as the mapping string for 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 use the character string 01 as the mapping string for the first character constituting the combination G1 to be processed, and so on, to obtain the mapping strings for 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 treatment 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 a bitwise 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 of the bitwise operation to obtain a first processing sequence capping the combination H1;

[0073] From left to right, the first character in the first processing sequence is the result of the AND operation of the first character in the combination to be processed H1 and the first character in the combination to be processed Hg. Similarly, the second, third, and fourth characters in the first processing sequence are the result of the 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: Perform a bitwise OR operation on all characters constituting the combination H1 to be processed and all characters constituting the combination Hg to be processed, and concatenate the results of 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 an OR operation of the first character in the combination to be processed H1 and the first character in the combination to be processed Hg. Similarly, the second, third, and fourth characters in the second processing sequence are the result of an 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: Perform bitwise XOR operation on all characters constituting the combination H1 to be processed and all characters constituting the combination Hg to be processed, and concatenate the results of 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 result of the first character in the combination to be processed H1 and the first character in the combination to be processed Hg. Similarly, 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 H1 and the second, third, and fourth characters in the combination to be processed Hg.

[0078] SS25: compare all characters constituting the combination to be processed H1 with all characters constituting the combination to be processed Hg for consistency, specifically, the first character constituting the combination to be processed H1 and the first character constituting the combination to be processed Hg: if they are consistent and both are 1, then use the character string 11 as the mapping string for the first character constituting the combination to be processed H1; if they are consistent and both are 0, then use the character string 10 as the mapping string for the first character constituting the combination to be processed H1; if they are inconsistent, and the first character constituting the combination to be processed H1 is 1, then use the character string 00 as the mapping string for the first character constituting the combination to be processed H1; if they are inconsistent, and the first character constituting the combination to be processed H1 is 0, then use the character string 01 as the mapping string for the first character constituting the combination to be processed H1, and so on, to obtain the mapping strings for the second, third, and fourth characters constituting the combination to be processed H1 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] splicing 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 capped data of the target patient, and the anesthesia assessment receiving end is further used to restore the assessment capped data of the target patient after receiving the assessment capped data to obtain the assessment baseline data of the target patient, and display the assessment baseline 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 and are not intended to limit the present invention. 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. An anesthesia assessment and decision-making system based on brain science, characterized in that: include: An information storage unit, configured to retrieve the target patient's assessment benchmark data after receiving the target patient's identity information; The processing unit is used to perform binary conversion on the evaluation baseline data of the target patient after receiving the evaluation baseline data, mark the converted data as the evaluation processing data of the target patient, and process the data according to the preset processing rules to obtain the evaluation capped data of the target patient. The processing rules are as follows: S11: from left to right, every four characters in the evaluation processing data are used 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 labeled 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 arrays to be processed that are consistent with the four-digit binary number of the number 0, and mark the number as the first feature value B0 of the four-digit binary number of the number 0; Similarly, the first characteristic quantities B1, B2, ..., B15 of the four-bit binary numbers 1, 2, ..., 15 are obtained in sequence; S13: Obtain all the marker 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 adjacent numbers therefrom, and obtain the number of deleted marker subscripts and the number of all remaining marker subscripts after the deletion; The number of deleted mark subscripts is calibrated as the second characteristic value C0 of the four-digit 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-digit binary number of the number 0, where adjacent numbers refer to numbers that do not have other numbers between them in the natural order of all the acquired mark subscripts; Similarly, the second characteristic values ​​C1, C2, ..., C15 and the third characteristic values ​​D1, D2, ..., D15 of the four-bit binary numbers 1, 2, ..., 15 are obtained in sequence; S14: Use the formula E0=B0× 1+(C0 / D0)× 2 Calculate the characteristic combined estimation benchmark E0 of the four-bit binary number of the number 0, where 1. 2 are the preset first and second proportion factors respectively; S15: sequentially calculating and obtaining characteristic combined estimation benchmarks E1, E2, ..., E15 of four-digit binary numbers of the numbers 1, 2, ..., 15 according to S14, and selecting the four-digit binary number corresponding to the characteristic combined estimation benchmark with the largest value from the characteristic combined estimation benchmarks E1, E2, ..., E15 as the capped element array of the evaluation processing data; S16: dividing the evaluation processed 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 data, mark all the capped meta-sequences divided from left to right as F1, F2, ..., Ff, where f≥1; S18: All the to-be-processed arrays constituting the capping element sequence F1 are relabeled 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 the preset odd number capping rule to obtain a capping processing sequence of the capping element sequence F1. When g is an even number, the capping element sequence F1 is capped according to the preset even number capping rule to obtain a capping processing sequence of the capping element sequence F1. The odd number capping rule is as follows: SS11: G1 and Gg, G2 and and As a set of stamped combinations, the corresponding Recorded as SS12: Perform a bitwise AND operation on all characters constituting the combination to be processed G1 and all characters constituting the combination to be processed Gg, and concatenate the results of the bitwise operation to obtain a first processing sequence of the capped combination H1; SS13: Perform a bitwise OR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenate the results of the bitwise operation to obtain a second processing sequence capped with the combination H1; SS14: Perform bitwise XOR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenate the results of the bitwise operation to obtain a third processing sequence capped with the combination H1; SS15: Compare all characters constituting the pending combination G1 with all characters constituting the pending combination Gg for consistency, and obtain a fourth processing sequence capped with the combination H1 based on the comparison results; 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; S19: Obtain the capping processing sequence of the capping element sequences F2, F3, ..., Ff in sequence according to S18; splicing 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; The anesthesia assessment receiving end is used to receive and restore the assessment stamped data of the target patient.

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 entered 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 assessment benchmark data includes 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: In S16, each of the divided capped element sequences is composed of a number of groups of to-be-processed arrays with consecutive mark subscripts in the to-be-processed arrays A1, A2, ..., Aa, and the to-be-processed array with the smallest mark 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.

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

6. A brain-based anesthesia assessment and decision-making method, characterized in that: The following steps are involved: Step 1: The anesthesia assessment receiving end receives the identity information of the target patient entered 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 target patient's evaluation baseline data, the processing unit performs binary conversion on the evaluation baseline data, calibrates the converted data as the target patient's evaluation processing data, and processes it according to the preset processing rules to obtain the target patient's evaluation stamped data. The processing rules are as follows: S11: from left to right, every four characters in the evaluation processing data are used 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 labeled 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 arrays to be processed that are consistent with the four-digit binary number of the number 0, and mark the number as the first feature value B0 of the four-digit binary number of the number 0; Similarly, the first characteristic quantities B1, B2, ..., B15 of the four-bit binary numbers 1, 2, ..., 15 are obtained in sequence; S13: Obtain all the marker 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 adjacent numbers therefrom, and obtain the number of deleted marker subscripts and the number of all remaining marker subscripts after the deletion; The number of deleted mark subscripts is calibrated as the second characteristic value C0 of the four-digit 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-digit binary number of the number 0, where adjacent numbers refer to numbers that do not have other numbers between them in the natural order of all the acquired mark subscripts; Similarly, the second characteristic values ​​C1, C2, ..., C15 and the third characteristic values ​​D1, D2, ..., D15 of the four-bit binary numbers 1, 2, ..., 15 are obtained in sequence; S14: Use the formula E0=B0× 1+(C0 / D0)× 2 Calculate the characteristic combined estimation benchmark E0 of the four-bit binary number of the number 0, where 1. 2 are the preset first and second proportion factors respectively; S15: sequentially calculating and obtaining characteristic combined estimation benchmarks E1, E2, ..., E15 of four-digit binary numbers of the numbers 1, 2, ..., 15 according to S14, and selecting the four-digit binary number corresponding to the characteristic combined estimation benchmark with the largest value from the characteristic combined estimation benchmarks E1, E2, ..., E15 as the capped element array of the evaluation processing data; S16: dividing the evaluation processed 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 data, mark all the capped meta-sequences divided from left to right as F1, F2, ..., Ff, where f≥1; S18: All the to-be-processed arrays constituting the capping element sequence F1 are relabeled 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 the preset odd number capping rule to obtain a capping processing sequence of the capping element sequence F1. When g is an even number, the capping element sequence F1 is capped according to the preset even number capping rule to obtain a capping processing sequence of the capping element sequence F1. The odd number capping rule is as follows: SS11: G1 and Gg, G2 and and As a set of stamped combinations, the corresponding Recorded as SS12: Perform a bitwise AND operation on all characters constituting the combination to be processed G1 and all characters constituting the combination to be processed Gg, and concatenate the results of the bitwise operation to obtain a first processing sequence of the capped combination H1; SS13: Perform a bitwise OR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenate the results of the bitwise operation to obtain a second processing sequence capped with the combination H1; SS14: Perform bitwise XOR operation on all characters constituting the combination G1 to be processed and all characters constituting the combination Gg to be processed, and concatenate the results of the bitwise operation to obtain a third processing sequence capped with the combination H1; SS15: Compare all characters constituting the pending combination G1 with all characters constituting the pending combination Gg for consistency, and obtain a fourth processing sequence capped with the combination H1 based on the comparison results; 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; S19: Obtain the capping processing sequence of the capping element sequences F2, F3, ..., Ff in sequence according to S18; splicing the capping processing 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, and transmitting the evaluation capping data to the anesthesia evaluation receiving end; 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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