CN114376549A - Cognitive function assessment and prediction system for cerebral hemorrhage minimally invasive surgery - Google Patents
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Abstract
The invention discloses a cognitive function assessment and prediction system for cerebral hemorrhage minimally invasive surgery. The brain hemorrhage cognition assessment interactive device comprises a brain hemorrhage cognition assessment interactive module, a data analysis presentation module, a storage module and a display terminal, wherein the brain hemorrhage cognition assessment interactive module is connected with the data analysis module; the data analysis presentation module is connected with the storage module, and the display terminal is connected with the cerebral hemorrhage cognition assessment interaction module and the data analysis presentation module through the server. The system has simple structure and convenient use, and can be used for one-time evaluation of patients through the cognitive evaluation system interaction component arranged in the device. The time signal of the brain activity of the user is collected and processed to obtain the periodic fluctuation characteristic of the target blood flow signal along with the time, and the effect of the cognitive function of the patient after the cerebral hemorrhage operation is evaluated on the basis of the weighting of the cognitive function.
Description
Technical Field
The invention relates to postoperative cognitive assessment and prediction of cerebral hemorrhage patients, and particularly provides a cognitive function assessment and prediction system for cerebral hemorrhage minimally invasive surgery.
Background
Spontaneous cerebral hemorrhage is the first cause of death and disability of adults in China, and has the characteristics of high morbidity, high disability rate, high death rate, high recurrence rate and the like. Many cerebral hemorrhage patients will appear cognitive dysfunction, greatly affect their quality of life, and currently, for spontaneous cerebral hemorrhage, minimally invasive surgery is a research hotspot in recent years at home and abroad. However, at present, no research reports how the minimally invasive treatment of spontaneous cerebral hemorrhage affects the cognitive function of the brain and the effect of predicting the treatment by functional activities of brain areas are yet unknown at home and abroad. The conventional method mainly comprises a scale questionnaire, and the method is subjective and mainly has the following problems:
firstly, a single scale evaluation method is adopted, and monitoring of other postoperative clinical objective indexes of a cerebral hemorrhage patient is omitted;
secondly, whether the cerebral hemorrhage patient is evaluated according to requirements after operation is monitored without adopting related technical means;
thirdly, the attention on the aspect of postoperative prediction is not enough, and the intervention on a specific brain region cannot be accurately carried out.
The prior art is still subject to significant limitations. Therefore, the prior art still has a great gap in popularization and application and needs to be filled.
Disclosure of Invention
The invention aims to provide a system for evaluating and predicting the cognitive function of cerebral hemorrhage minimally invasive surgery aiming at the defects of the prior art. The cognitive function assessment and prediction system for the cerebral hemorrhage minimally invasive surgery can provide an effective method for cerebral hemorrhage patients, and the training mode can improve the matching degree and participation degree of children on cognitive intervention training. Secondly, the system provides a method for objectively and subjectively evaluating and predicting the cerebral hemorrhage after operation, and brings specific periodic fluctuation signals of the cerebral blood flow of a patient into the treatment process as indexes of evaluation and prediction effects.
A cognitive function assessment and prediction system for cerebral hemorrhage minimally invasive surgery comprises a cerebral hemorrhage cognitive assessment interaction module (1), a data analysis module (2), a data analysis presentation module (3), a storage module (4) and a display terminal (5), wherein the cerebral hemorrhage cognitive assessment interaction module (1) is connected with the data analysis module (2), and the data analysis module (2) is connected with the data analysis presentation module (3); the data analysis presentation module (3) is connected with the storage module (4), and the display terminal (5) is connected with the cerebral hemorrhage cognition assessment interaction module (1) and the data analysis presentation module (3) through the server.
The data analysis module: and selecting Low-Frequency Amplitude ALFF (Amplitude of Low Frequency Fluctuation) corresponding to the brain area according to the setting, and performing automatic weighting analysis according to the result of the corresponding cognitive assessment scale.
The data analysis and presentation module: the cognitive function and the imaging evaluation result of the patient can be observed and presented, and the postoperative treatment effect of the patient can be further evaluated and predicted according to the weighting condition of the cognitive function and the imaging evaluation result.
Furthermore, the interaction module is connected with the data analysis module and the data analysis presentation module and comprises a patient information collection unit, a scale evaluation unit, an imaging data reading unit and an expert interaction area unit. The interactive module can set the post-operation evaluation and prediction modes of the cerebral hemorrhage patient: 1. assessment of cognitive function; 2. the low frequency amplitude of cerebral blood flow is set.
The assessment of cognitive function includes language and motor.
The cerebral hemorrhage cognition assessment interactive module (1) comprises a patient information collection unit (6), a cognition scale unit (7), an imaging data reading unit (8) and an expert interactive area unit (9); the information acquired by the cognition scale unit (7) and the imaging data reading unit (8) is determined by the expert interaction area unit (9) according to the specific cognition function.
The data analysis module (2) comprises a cognitive assessment analysis unit (10) and an image prediction analysis unit (11), wherein the cognitive assessment analysis unit (10) comprises a language function score and a motor function score, and a score within the range of M +/-1.5 SD is given according to the postoperative cognitive level of the patient based on a normative level benchmark score M and a corresponding score which is larger than or smaller than the normative benchmark score M +/-1.5 times standard deviation.
The data analysis presentation module (3) comprises a data analysis unit I, a data analysis unit II and a data analysis unit III; the data analysis presentation unit I is used for presenting the language function and the motor function analysis of the patient; the data analysis presenting unit II is used for presenting the low-frequency amplitude analysis of the cerebral blood flow signals of the patient; and the data analysis and presentation unit III is used for presenting the low-frequency amplitude of the cerebral blood flow signal of the patient after weighted statistics and the scale score.
The cognition scale evaluation unit (7) and the imaging data reading unit (8) are respectively connected with the cognition evaluation analysis unit (10) and the image prediction analysis unit (11) in the data analysis module (3).
The data analysis module (2) performs data analysis according to the low-frequency amplitude value information and the cognitive function scale information acquired by the cerebral hemorrhage cognitive assessment interaction module (1), and sends an analysis result to the data analysis presentation module (3).
The cerebral hemorrhage cognition evaluation interaction module (1) and the data analysis presentation module (3) are connected with a display terminal (5); the display terminal (5) is provided with a digital display interface, and any monitoring data can be selected to be displayed in real time or played back.
A cognitive function assessment and prediction method for cerebral hemorrhage minimally invasive surgery comprises the following steps:
step S1: inputting and setting cognitive parameters of a patient through a cerebral hemorrhage cognitive assessment interactive module (1);
step S2: setting a patient evaluation mode, and setting language function parameters and motion function parameters in the cognitive parameters;
step S3: and weighting the low-frequency amplitude value information and the cognitive function scale information displayed by the display terminal (5), thereby evaluating the cognitive function effect after the cerebral hemorrhage operation.
Further, step S1 is specifically as follows:
the cerebral hemorrhage cognition assessment interactive module (1) comprises a patient information collection unit (6), a cognition scale unit (7), an imaging data reading unit (8) and an expert interactive area unit (9); the information acquired by the cognition scale unit (7) and the imaging data reading unit (8) is determined by the expert interaction area unit (9) according to the specific cognition function; the patient information collecting unit is used for collecting basic information of the patient, including name, age, sex, focus and admission condition; the cognitive scale unit (7) is used for acquiring a scoring scale; the imaging data reading unit (8) is used for acquiring imaging scanning.
Further, step S2 is specifically as follows:
step S21: acquiring cognitive scale data acquired by the cerebral hemorrhage cognitive assessment interactive module (1) and a signal blood flow value acquired by brain activity, and forming a time domain signal of the brain activity time of a patient;
step S22: fourier transform is carried out on the time domain signal of the brain activity time signal of the patient to obtain the amplitude distribution of a focus region frequency domain;
where ω denotes frequency, t denotes time, e-iωtIs a complex variable function;
step S23: and further calculating the periodic fluctuation D of the blood flow signal of the brain of the patient according to the concerned period, namely the frequency band and the Fourier change result:
where ω denotes frequency, T denotes cycle time, FTN represents the number of frequency points of the current frequency band as a Fourier change function;
step S24: the method comprises the following steps of carrying out weighting calculation on periodic fluctuation of a brain blood flow signal according to cognitive assessment information of a patient, wherein the cognitive assessment information comprises a language condition and a motion condition, and the weighting calculation is as follows:
wherein, represents the weighted low frequency amplitude, x1、x2、…、xkRepresenting blood flow in different areas of the brain, f1、f2、…、fkWeights corresponding to blood flows of different areas of the brain in the cognitive assessment scale are obtained, and n represents the sum of the current quantity to be weighted;
step S25: calculating the weighted low-frequency amplitude ALFF of the last cerebral hemorrhage patient after the whole-brain voxel average of the fluctuation value of the cerebral blood flow period of the patient;
ALFFR＝ALFFD*SORCED/ICH+ALFFL*SORCEL/ICH
wherein, ALFFRRepresenting the weighted low frequency amplitude; ALFFDRepresenting low frequency amplitude of the motion region; SORCEDA functional score representing a motion zone; ALFFLRepresenting low frequency amplitudes of the speech region; SORCELA functional score representing a language region; ICH represents the total score.
Furthermore, the data analysis module comprises a cognitive assessment analysis unit and an image prediction analysis unit, wherein the cognitive assessment analysis unit is divided into a language function score and a motor function score, the device can give a score based on a standard score M of a standard level of a patient after operation and a corresponding score which is larger than or smaller than the standard score M plus or minus 1.5 times of Standard Deviation (SD), namely the score within the range of M plus or minus 1.5 SD according to the postoperative cognitive level of the patient, and the score is divided into grades according to the score size to be a difference; performing the following steps; three grades are good.
Further, the data analysis and presentation module comprises a storage module, a data analysis unit 1 (for analyzing the language and motor function of the patient), a data analysis unit 2 (for analyzing the low-frequency amplitude of the cerebral blood flow signal of the patient), a data analysis unit 3 (for performing weighted statistics on the low-frequency amplitude of the cerebral blood flow signal of the patient and the scale score), and a display terminal.
The power management unit is characterized in that: including battery power, battery charging, charging/power path management, etc.
The display terminal is characterized in that: any index can be selected for real-time monitoring display or playback display; and analyzing the multiple prediction indexes to evaluate the cognitive function recovery effect of the patient.
Due to the adoption of the technical scheme, the invention has the following advantages:
the cognitive function evaluation and prediction system for the cerebral hemorrhage minimally invasive surgery provided by the invention has the advantages that the structure is simple, the use is convenient, and the patient can be evaluated at one time through the cognitive evaluation system interaction component arranged in the device. The time signal of the brain activity of the user is collected and processed to obtain the periodic fluctuation characteristic of the target blood flow signal along with the time, and the effect of the cognitive function of the patient after the cerebral hemorrhage operation is evaluated on the basis of the weighting of the cognitive function.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a block diagram of a routine setup module implemented in accordance with the present invention;
FIG. 3 is a schematic flow chart of a data analysis method of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
The first embodiment is as follows: as shown in fig. 1, the invention includes a cerebral hemorrhage cognition assessment interactive module 1, a data analysis module 2, a data analysis presentation module 3, a storage module 4 and a display terminal 5, wherein the cerebral hemorrhage cognition assessment interactive module 1 is connected with the data analysis module 2, and the data analysis module 2 is connected with the data analysis presentation module 3; the data analysis presentation module 3 is connected with the storage module 4, and the display terminal 5 is connected with the cerebral hemorrhage cognition assessment interactive module 1 and the data analysis presentation module 3 through a server;
example two: as shown in fig. 2, the cerebral hemorrhage cognitive assessment interactive module 1 is used for collecting patient information and assessing related cognitive functions, and is connected with the data analysis module 2 and the data analysis presentation module 3. The cerebral hemorrhage cognition assessment interactive module 1 comprises a patient information collection unit 6, a cognition scale unit 7, an imaging data reading unit 8 and an expert interactive area unit 9.
The data analysis module 2 comprises a cognitive assessment analysis unit 10 and an image prediction analysis unit 11, wherein the cognitive assessment analysis unit 10 is divided into a language function score and a motor function score, can give a score based on a standard score M of a standard level of a patient after operation and a corresponding score which is larger than or smaller than the standard score M plus or minus 1.5 times of Standard Deviation (SD), namely the score within the range of M plus or minus 1.5 SD according to the cognitive level of the patient after operation, and is divided into three grades of poor, medium and good according to the score.
The data analysis presentation module 3 comprises a data analysis unit I, a data analysis unit II and a data analysis unit III. The data analysis presentation unit I is used for presenting the language function and the motor function analysis of the patient; the data analysis presenting unit II is used for presenting the low-frequency amplitude analysis of the cerebral blood flow signals of the patient; and the data analysis and presentation unit III is used for presenting the low-frequency amplitude of the cerebral blood flow signal of the patient after weighted statistics and the scale score.
Furthermore, the cognitive scale evaluation unit 7 and the imaging data reading unit 8 are respectively connected with a cognitive evaluation analysis unit 10 and an imaging prediction analysis unit 11 in the data analysis module 3;
the data analysis module 2 performs data analysis according to the low-frequency amplitude value information and the cognitive function scale information acquired by the cerebral hemorrhage cognitive assessment interactive module 1, and sends an analysis result to the data analysis presentation module 3.
The cerebral hemorrhage cognition evaluation interaction module 1 and the data analysis presentation module 3 are connected with a display terminal 5; the display terminal 5 is provided with a digital display interface, and can select any monitoring data to display in real time or display in a playback mode.
As shown in fig. 3, a method for implementing the system for evaluating and predicting cognitive function in minimally invasive cerebral hemorrhage surgery is as follows:
step S1: inputting and setting cognitive parameters of a patient through a cerebral hemorrhage cognitive assessment interactive module 1;
step S2: setting a patient evaluation mode, and setting language function parameters and motion function parameters in the cognitive parameters;
step S3: and weighting the low-frequency amplitude value information and the cognitive function scale information displayed by the display terminal 5, thereby evaluating the cognitive function effect after the cerebral hemorrhage operation.
Further, step S1 is specifically as follows:
brain hemorrhage cognitive assessment interaction module 1: collecting basic information of the patient through a patient information collecting unit, wherein the basic information comprises name, age, sex, focus, admission condition and the like; and performing cognitive assessment on the patient according to the relevant admission information, specifically scanning an (ICH) score scale and an iconography (structural MRI and fMRI), transmitting the scanned data to an expert interaction area unit, and selecting a specific cognitive function area by an expert (inputting coordinates of a focal area and automatically determining the coordinates).
The scoring scale is obtained through a cognitive scale evaluating unit 7; the imaging scan is acquired by the imaging information reading unit 8.
Further, the step S2 is specifically implemented as follows:
setting a patient evaluation mode, and setting language function parameters and motor function parameters in the cognitive parameters; weighting is carried out based on the low-frequency amplitude value information and the cognitive function scale information displayed by the display terminal 5, and then the cognitive function effect after the cerebral hemorrhage operation is evaluated. The analysis result is displayed through the display terminal 5; as shown in fig. 3, the data analysis module 2 specifically includes the following steps:
the cerebral hemorrhage cognition assessment interactive module 1 is used for collecting patient information and assessing relevant cognitive functions, and is connected with the data analysis module 2 and the data analysis presentation module 3. The cerebral hemorrhage cognition assessment interactive module 1 comprises a patient information collection unit 6, a cognition scale unit 7, an imaging data reading unit 8 and an expert interactive area unit 9.
Step S21: acquiring cognitive scale data acquired by the cerebral hemorrhage cognitive assessment interactive module 1 and a signal blood flow value acquired by brain activity, and forming a time domain signal of the brain activity time of the patient;
step S22: fourier transform is carried out on the time domain signal of the brain activity time signal of the patient to obtain the amplitude distribution of a focus region frequency domain;
where ω denotes frequency, t denotes time, e-iωtIs a complex variable function.
Step S23: and further calculating the periodic fluctuation D of the blood flow signal of the brain of the patient according to the concerned period, namely the frequency band and the Fourier change result:
where ω denotes frequency, T denotes cycle time, FTAnd n represents the number of frequency points of the current frequency band as a Fourier change function.
Step S24: the method comprises the following steps of carrying out weighting calculation on periodic fluctuation of a brain blood flow signal according to cognitive assessment information of a patient, wherein the cognitive assessment information comprises a language condition and a motion condition, and the weighting calculation is as follows:
wherein, represents the weighted low frequency amplitude, x1、x2、…、xkRepresenting blood flow in different areas of the brain, f1、f2、…、fkAnd n represents the sum of the current quantity to be weighted for the corresponding weights of the blood flows of different areas of the brain in the cognitive assessment scale.
Step S25: after the fluctuation value of the cerebral blood flow period of the patient is averaged by whole-brain voxels, the weighted low-frequency amplitude ALFF of the patient with the latest cerebral hemorrhage is calculated (weighted amplitude of low frequency fluctuation).
ALFFR＝ALFFD*SORCED/ICH+ALFFL*SORCEL/ICH
Wherein, ALFFRRepresenting the weighted low frequency amplitude; ALFFDRepresenting low frequency amplitude of the motion region; SORCEDA functional score representing a motion zone; ALFFLRepresenting low frequency amplitudes of the speech region; SORCELA functional score representing a language region; ICH represents the total score.
Claims (10)
1. A cognitive function assessment and prediction system for cerebral hemorrhage minimally invasive surgery is characterized by comprising a cerebral hemorrhage cognitive assessment interaction module (1), a data analysis module (2), a data analysis presentation module (3), a storage module (4) and a display terminal (5), wherein the cerebral hemorrhage cognitive assessment interaction module (1) is connected with the data analysis module (2), and the data analysis module (2) is connected with the data analysis presentation module (3); the data analysis presentation module (3) is connected with the storage module (4), and the display terminal (5) is connected with the cerebral hemorrhage cognition assessment interaction module (1) and the data analysis presentation module (3) through the server.
2. The system for assessing and predicting the cognitive function of the minimally invasive cerebral hemorrhage surgery according to claim 1, wherein the cerebral hemorrhage cognitive assessment interaction module (1) comprises a patient information collection unit (6), a cognition scale unit (7), an imaging data reading unit (8) and an expert interaction area unit (9); the information acquired by the cognition scale unit (7) and the imaging data reading unit (8) is determined by the expert interaction area unit (9) according to the specific cognition function.
3. The system for assessing and predicting cognitive functions in minimally invasive cerebral hemorrhage surgery according to claim 2, wherein the data analysis module (2) comprises a cognitive assessment analysis unit (10) and an image prediction analysis unit (11), wherein the cognitive assessment analysis unit (10) comprises a language function score and a motor function score, and a score based on a normative level benchmark score M and a score corresponding to a standard deviation greater than or less than the normative benchmark score M ± 1.5 times, i.e., a score within a range of M ± 1.5 × SD, is given according to the post-operative cognitive level of the patient.
4. The system for assessing and predicting the cognitive function of minimally invasive cerebral hemorrhage surgery according to claim 1, wherein the data analysis presenting module (3) comprises a data analysis unit I, a data analysis unit II and a data analysis unit III; the data analysis presentation unit I is used for presenting the language function and the motor function analysis of the patient; the data analysis presenting unit II is used for presenting the low-frequency amplitude analysis of the cerebral blood flow signals of the patient; and the data analysis and presentation unit III is used for presenting the low-frequency amplitude of the cerebral blood flow signal of the patient after weighted statistics and the scale score.
5. The system for assessing and predicting cognitive function in minimally invasive cerebral hemorrhage surgery according to claim 3, wherein the cognitive scale assessment unit (7) and the imaging data reading unit (8) are respectively connected with the cognitive assessment analysis unit (10) and the imaging prediction analysis unit (11) in the data analysis module (3).
6. The system for assessing and predicting the cognitive function of the minimally invasive cerebral hemorrhage surgery according to claim 3, wherein the data analysis module (2) performs data analysis according to the low-frequency amplitude value information and the cognitive function scale information acquired by the cerebral hemorrhage cognitive assessment interactive module (1), and sends the analysis result to the data analysis presentation module (3).
7. The system for assessing and predicting the cognitive function of the cerebral hemorrhage minimally invasive surgery according to claim 3, wherein the cerebral hemorrhage cognitive assessment interactive module (1) and the data analysis and presentation module (3) are connected with a display terminal (5); the display terminal (5) is provided with a digital display interface, and any monitoring data can be selected to be displayed in real time or played back.
8. A method for evaluating and predicting cognitive function of cerebral hemorrhage minimally invasive surgery is characterized by comprising the following steps:
step S1: inputting and setting cognitive parameters of a patient through a cerebral hemorrhage cognitive assessment interactive module (1);
step S2: setting a patient evaluation mode, and setting language function parameters and motion function parameters in the cognitive parameters;
step S3: and weighting the low-frequency amplitude value information and the cognitive function scale information displayed by the display terminal (5), thereby evaluating the cognitive function effect after the cerebral hemorrhage operation.
9. The method for assessing and predicting cognitive function in minimally invasive cerebral hemorrhage surgery according to claim 8, wherein the step S1 is as follows:
the cerebral hemorrhage cognition assessment interactive module (1) comprises a patient information collection unit (6), a cognition scale unit (7), an imaging data reading unit (8) and an expert interactive area unit (9); the information acquired by the cognition scale unit (7) and the imaging data reading unit (8) is determined by the expert interaction area unit (9) according to the specific cognition function; the patient information collecting unit is used for collecting basic information of the patient, including name, age, sex, focus and admission condition; the cognitive scale unit (7) is used for acquiring a scoring scale; the imaging data reading unit (8) is used for acquiring imaging scanning.
10. The method for assessing and predicting cognitive function in minimally invasive cerebral hemorrhage surgery according to claim 8, wherein the step S2 is as follows:
step S21: acquiring cognitive scale data acquired by the cerebral hemorrhage cognitive assessment interactive module (1) and a signal blood flow value acquired by brain activity, and forming a time domain signal of the brain activity time of a patient;
step S22: fourier transform is carried out on the time domain signal of the brain activity time signal of the patient to obtain the amplitude distribution of a focus region frequency domain;
where ω denotes frequency, t denotes time, e-iωtIs a complex variable function;
step S23: and further calculating the periodic fluctuation D of the blood flow signal of the brain of the patient according to the concerned period, namely the frequency band and the Fourier change result:
where ω denotes frequency, T denotes cycle time, FTN represents the number of frequency points of the current frequency band as a Fourier change function;
step S24: the method comprises the following steps of carrying out weighting calculation on periodic fluctuation of a brain blood flow signal according to cognitive assessment information of a patient, wherein the cognitive assessment information comprises a language condition and a motion condition, and the weighting calculation is as follows:
wherein, represents the weighted low frequency amplitude, x1、x2、…、xkRepresenting blood flow in different areas of the brain, f1、f2、…、fkWeights corresponding to blood flows of different areas of the brain in the cognitive assessment scale are obtained, and n represents the sum of the current quantity to be weighted;
step S25: calculating the weighted low-frequency amplitude ALFF of the last cerebral hemorrhage patient after the whole-brain voxel average of the fluctuation value of the cerebral blood flow period of the patient;
ALFFR＝ALFFD*SORCED/ICH+ALFFL*SORCEL/ICH
wherein, ALFFRRepresenting the weighted low frequency amplitude; ALFFDRepresenting low frequency amplitude of the motion region; SORCEDA functional score representing a motion zone; ALFFLRepresenting low frequency amplitudes of the speech region; SORCELA functional score representing a language region; ICH represents the total score.
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