CN116682556A - Clinical multisource data rehabilitation monitoring method - Google Patents
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Abstract
The application relates to a clinical multisource data rehabilitation monitoring method, which comprises the steps of obtaining clinical multisource rehabilitation data of a cerebral apoplexy patient; based on the clinical multisource rehabilitation data, calculating a clinical rehabilitation score T (T) of the cerebral apoplexy patient in real time, and sending and storing the clinical rehabilitation score T (T) under the identity ID of the cerebral apoplexy patient registered on a background server. Clinical multisource rehabilitation data of a cerebral apoplexy patient can be acquired without admission, and rehabilitation degree self-check is performed based on a preset algorithm. The follow-up patient or family members thereof can log in the background through the intelligent terminal and check the current cerebral apoplexy clinical rehabilitation score T (T) of the cerebral apoplexy patient in real time, and can finish the work of evaluating doctors instead, so that the patient or family members thereof can know the current approximate recovery condition of the cerebral apoplexy patient at any time, the rehabilitation self-check of the cerebral apoplexy patient is carried out, the patient admission measurement flow is saved, and the clinical main treatment examination time is saved through on-line intelligent identification and judgment.
Description
Technical Field
The disclosure relates to the technical field of clinical medical treatment, in particular to a clinical multisource data rehabilitation monitoring method, a monitoring system and electronic equipment.
Background
Cerebral stroke, also known as cerebrovascular accident or stroke, is defined as an acute cerebrovascular disease, a group of diseases that causes ischemia and hypoxia of brain tissue due to sudden rupture or blockage of cerebral arteries for various reasons.
The cerebral apoplexy has the characteristics of high morbidity, high mortality and high disability rate. Different types of cerebral apoplexy have different treatment modes. Since there is a constant lack of effective treatment, prophylaxis is considered the best measure, where hypertension is an important controllable risk factor for stroke, hypotensive treatment is particularly important for the prevention of stroke morbidity and recurrence. Education on popularization of cerebral apoplexy risk factors and premonitory symptoms by the whole population is enhanced, so that cerebral apoplexy can be truly prevented.
For clinical cerebral apoplexy patients, the rehabilitation condition of the cerebral apoplexy patients can be subjected to standardized evaluation by a clinical care doctor, and the current rehabilitation degree of the cerebral apoplexy patients can be evaluated and monitored through rehabilitation evaluation of cerebral apoplexy. For example, the evaluation of the degree of nerve function injury is carried out through the evaluation of the motor function, so that the hemiplegia state of a cerebral apoplexy patient can be evaluated, the method can also be used for the hemiplegia rehabilitation evaluation of the cerebral apoplexy patient, and the current hemiplegia recovery condition of the cerebral apoplexy patient can be judged.
Regardless of how well rehabilitation is assessed, the following inconveniences exist: the clinical care doctor needs to actively intervene and evaluate the cerebral apoplexy patient, and later, the clinical care doctor needs to spend a great deal of time to analyze various cerebral apoplexy data and guide the patient to interact (and the analysis can be completely completed by the patient or the family members of the patient, such as the limb movement condition of the patient); and cerebral apoplexy patients need to be admitted, carry out procedures such as out outpatient registration, registration and the like, and also need to accompany doctors to carry out rehabilitation assessment, so that the cerebral apoplexy patients are also a burden and take a great deal of time.
In addition, the cerebral apoplexy patients can be completely and automatically monitored temporarily under the condition of cerebral apoplexy recovery at home, and the rehabilitation evaluation of the current cerebral apoplexy patients is supported by certain cerebral apoplexy recovery data, so that the patients or families thereof can know the current approximate recovery condition of the cerebral apoplexy patients at any time, and the rehabilitation self-check of the cerebral apoplexy patients is carried out, thereby saving the checking time.
Disclosure of Invention
In order to solve the problems, the application provides a clinical multisource data rehabilitation monitoring method, a monitoring system and electronic equipment.
In one aspect of the present application, a method for clinical multisource data rehabilitation monitoring is provided, comprising the following steps:
acquiring clinical multisource rehabilitation data of a cerebral apoplexy patient in a clinical rehabilitation process, and reporting the clinical multisource rehabilitation data to a background through an intelligent terminal;
the background calculates the clinical rehabilitation score T (T) of the cerebral apoplexy patient in real time based on the clinical multisource rehabilitation data:
wherein,,
S t (alpha) is the brain electricity real-time monitoring signal value of a cerebral apoplexy patient at a certain time;
GCS (t) is an evaluation value of the nerve function injury degree of a cerebral apoplexy patient at a certain time;
g (t) is a recovery value of a cerebral apoplexy patient at a certain time;
k is a rehabilitation fluctuation system, is related to the disease grade of a cerebral apoplexy patient, and takes a natural number in [1-3 ];
the clinical recovery score T (T) is stored in a background database and registered under the identity ID of the stroke patient.
As an optional embodiment of the present application, optionally, before acquiring clinical multisource rehabilitation data of a stroke patient in a clinical rehabilitation process, the method further comprises:
the cerebral apoplexy patient logs in a background server through an identity ID of the cerebral apoplexy patient on the intelligent terminal;
the background server registers and stores the identity ID of the cerebral apoplexy patient, carries out medical record identification in a background database according to the identity ID, and retrieves cerebral apoplexy medical record information generated for the cerebral apoplexy patient at the previous time;
and storing the cerebral apoplexy medical record information under the identity ID of the cerebral apoplexy patient, and transmitting the cerebral apoplexy medical record information of the cerebral apoplexy patient to the intelligent terminal through background synchronization.
As an optional embodiment of the present application, optionally after calculating the clinical recovery score T (T) of the stroke patient, further comprising:
issuing the clinical rehabilitation score T (T) to the intelligent terminal logging in the identity ID through a background;
the intelligent terminal receives and visually displays the clinical rehabilitation score T (T).
As an optional embodiment of the present application, optionally, when calculating the clinical recovery score T (T) of the stroke patient, further comprising:
extracting clinical multisource rehabilitation data of the cerebral apoplexy patient at the previous time according to cerebral apoplexy medical record information which is stored in a background database and is generated for the cerebral apoplexy patient at the previous time;
according to the calculation mode (1) in claim 1, the clinical recovery score T of the cerebral apoplexy patient in the previous time is calculated 0 (t)；
Assigning the clinical rehabilitation score T 0 (t) storing in a background database and registering under the identity ID of the stroke patient.
As an optional embodiment of the present application, optionally after calculating the clinical recovery score T (T) of the stroke patient, further comprising:
combining the clinical recovery score T (T) and the clinical recovery score T 0 (t) synchronously issuing the ID to the intelligent terminal logging in the ID through a background;
the intelligent terminal receives and visually displays the clinical rehabilitation score T (T) and the clinical rehabilitation score T 0 (t), and respectively displaying the respective rehabilitation monitoring time.
As an alternative embodiment of the application, optionally, the step S t The method for obtaining (alpha):
acquiring an electroencephalogram monitoring signal diagram of a cerebral apoplexy patient on the same day;
in an electroencephalogram monitoring signal diagram, finding out a time period when an electroencephalogram monitoring signal of a cerebral apoplexy patient is in a stable state;
acquiring an electroencephalogram monitoring signal mean value S in the time period t (0) And calculates the limit value X of the brain electrical signal and the mean value S of the brain electrical monitoring signal in the brain electrical monitoring signal diagram t (0) Variance between:
x is the maximum value S in the brain electricity monitoring signal diagram respectively t (max) and brain electrical signal minimum value S t (min)；
Reporting the S through an intelligent terminal t (alpha) to the background.
As an optional embodiment of the present application, optionally, the method for obtaining GCS (t) includes:
configuring a glasgan coma scale to the intelligent terminal;
and (3) carrying out nerve function injury degree evaluation on the cerebral apoplexy patient, obtaining an evaluation value of the nerve function injury degree of the cerebral apoplexy patient on the same day, and reporting the evaluation value to the background through the intelligent terminal.
As an optional embodiment of the present application, optionally, the method for obtaining G (t) comprises:
configuring a cerebral apoplexy Kang Fuhui repeated typing sub-table on the intelligent terminal;
and scoring the recovery of cerebral apoplexy patients, obtaining the recovery value of cerebral apoplexy of the current day, and reporting the recovery value to the background through the intelligent terminal.
In another aspect of the present application, a clinical multisource data rehabilitation monitoring system is provided, for implementing the clinical multisource data rehabilitation monitoring method, including:
the intelligent terminal is used for logging in the background and reporting clinical multisource rehabilitation data of the cerebral apoplexy patient in the clinical rehabilitation process to the background;
the background server is used for receiving and calculating clinical rehabilitation scores T (T) of cerebral apoplexy patients in real time based on the clinical multisource rehabilitation data:
wherein,,
S t (alpha) is the brain electricity real-time monitoring signal value of a cerebral apoplexy patient at a certain time;
GCS (t) is an evaluation value of the nerve function injury degree of a cerebral apoplexy patient at a certain time;
g (t) is a recovery value of a cerebral apoplexy patient at a certain time;
k is a rehabilitation fluctuation system, is related to the disease grade of a cerebral apoplexy patient, and takes a natural number in [1-3 ]; and storing the clinical recovery score T (T) in a background database and registering under the identity ID of the stroke patient.
In another aspect, the present application further provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the one clinical multisource data rehabilitation monitoring method when executing the executable instructions.
The application has the technical effects that:
according to the scheme, clinical multisource rehabilitation data of a cerebral apoplexy patient are obtained; based on the clinical multisource rehabilitation data, calculating a clinical rehabilitation score T (T) of the cerebral apoplexy patient in real time, and sending and storing the clinical rehabilitation score T (T) under the identity ID of the cerebral apoplexy patient registered on a background server. Clinical multisource rehabilitation data of a cerebral apoplexy patient can be acquired without admission, and rehabilitation degree self-check is performed based on a preset algorithm. The follow-up patient or family thereof can log in the background through the intelligent terminal and check the current cerebral apoplexy clinical rehabilitation score T (T) of the cerebral apoplexy patient in real time, and can finish the work of evaluating doctors instead, so that the patient or family thereof can know the current approximate recovery condition of the cerebral apoplexy patient at any time, the rehabilitation self-check of the cerebral apoplexy patient is carried out, the patient admission measurement flow is saved, and the clinical rehabilitation self-check of the patient is carried out through on-line intelligent identification and judgment, thereby saving the clinical main treatment check time.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram showing the implementation flow of the clinical multi-source data rehabilitation monitoring method of the present application;
FIG. 2 is a schematic diagram of an application of the rehabilitation monitoring system of the present application;
FIG. 3 shows a graphical representation of the generation of clinical recovery score T (T) for the present application;
FIG. 4 is a diagram showing the contrast of brain electrical signal of normal and epileptic brain stroke patients according to the present application;
fig. 5 shows a schematic application diagram of the electronic device of the present application.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, well known means, elements, and circuits have not been described in detail so as not to obscure the present disclosure.
Example 1
As shown in fig. 1, in one aspect of the present application, a method for clinical multisource data rehabilitation monitoring is provided, which includes the following steps:
s1, acquiring clinical multisource rehabilitation data of a cerebral apoplexy patient in a clinical rehabilitation process, and reporting the clinical multisource rehabilitation data to a background through an intelligent terminal;
s2, calculating clinical rehabilitation scores T (T) of cerebral apoplexy patients in real time based on the clinical multisource rehabilitation data by the background:
wherein,,
S t (alpha) is the brain electricity real-time monitoring signal value of a cerebral apoplexy patient at a certain time;
GCS (t) is an evaluation value of the nerve function injury degree of a cerebral apoplexy patient at a certain time;
g (t) is a recovery value of a cerebral apoplexy patient at a certain time;
k is a rehabilitation fluctuation system, is related to the disease grade of a cerebral apoplexy patient, and takes a natural number in [1-3 ];
and S3, storing the clinical rehabilitation score T (T) in a background database and registering under the identity ID of the cerebral apoplexy patient.
Fig. 2 is a schematic diagram of the implementation main body of the present embodiment.
The scheme is a rehabilitation self-test scheme of a cerebral apoplexy patient, the cerebral apoplexy patient does not need to go to a hospital, the monitoring method is implemented by the patient or the family members of the patient, and then the self-adaptive monitoring and judgment are carried out for the clinical rehabilitation condition of the cerebral apoplexy patient. The clinical rehabilitation self-adaptive evaluation and measurement of the cerebral apoplexy patients are mainly carried out through three cerebral apoplexy rehabilitation monitoring index data, a series of processes such as clinic registration and the like of the patients to a hospital can be avoided, the rehabilitation measurement time is saved, and the rest time, the energy and the cost are saved for the patients and family members of the patients.
Three cerebral apoplexy rehabilitation monitoring index data are mainly as follows:
1、S t and (alpha) is the brain electricity real-time monitoring signal value of a cerebral apoplexy patient at a certain time. The brain electrical monitor can be purchased at home by a patient or family members thereof to monitor brain electrical signals, and brain electrical real-time signal real-time values of the brain electrical signals of the cerebral apoplexy patient on each day and each time of each day can be monitored, especially brain electrical monitoring of the cerebral apoplexy patient in a sleep time period can be obtained, so that relatively stable brain electrical monitoring signal values can be obtained. After electroencephalogram monitoring, electroencephalogram signals obtained through follow-up monitoring can be output in a mode of an electroencephalogram monitoring signal diagram, the map data packet can be issued to an intelligent terminal and reported to a background server by the intelligent terminal, the background server analyzes the electroencephalogram monitoring signal map, and electroencephalogram monitoring signal values at all times in the map are extracted in real time to obtain specific S t (α)。
2. GCS (t) is an evaluation value of the degree of nerve function damage of a cerebral apoplexy patient at a certain time.
3. G (t) is a recovery value of a cerebral apoplexy patient at a certain time.
This embodiment is in addition to S t And (alpha) is acquired through an electroencephalogram monitor, and other two index data, namely a nerve function injury degree evaluation value and a rehabilitation recovery value, of GCS (t) and G (t) can be evaluated or scored by an evaluation determination/scoring table respectively configured on the intelligent terminal. The two-term value acquisition may be performed by the patient or the patient's family member in place of the clinician, and may be performed at home.
The GCS evaluation scale can adopt a standard evaluation scale of the current cerebral apoplexy medical evaluation. For evaluation scoring of the recovery value, evaluation scoring may be performed by a recovery scoring table for stroke. The rehabilitation recovery value can be obtained by scoring the rehabilitation condition of the cerebral apoplexy patient in different time periods.
The two scales are scoring scales, and can adopt the standard of the existing medicine for evaluating cerebral apoplexy and can also adopt the custom standard.
When three index data are calculated and written into the formula of the calculation module/model in the background, S is needed t The writing time of (alpha) is based on, for example, S t After calculation of (α), the time of writing in formula (1) in the calculation module is the time point T of the day, and the writing time of GCS (T) and G (T) should not exceed: t+/-12 h, and avoids the great fluctuation of the illness state of patients with overlong time. And S is t The calculation of (α) is preferably calculated with the time period of patient sleep, then background submissions of GCS (t) and G (t) may be made a few hours before the patient sleeps.
In this embodiment, the default S is the condition of the stroke patient with increased time and increased daily t The (alpha) is stable and unchanged, the GCS (T) continuously grows slowly (the change between the former and latter days can be basically kept unchanged, so that the patient can continuously unconscious or awake for a period of days, the change can be ignored, the stability between the former and latter days is considered), and the clinical rehabilitation score T (T) of the G (T) gradually increases, and the trend is gradually increased.
Therefore, T (T) is represented by the product of the three index values. Wherein, cerebral apoplexy patient can improve or worsen gradually in rehabilitation process, and cerebral apoplexy patient's state of illness grade can divide into tertiary, and for example hemorrhagic cerebral apoplexy can divide into tertiary: light-duty, medium-duty and heavy-duty,
k=1: light patient consciousness is clear or shallow coma, and light hemiplegia; k=1
k=2: middle-sized patients are moderately coma, limb complete hemiplegia, and equal or mild differences of pupils at two sides;
k=3: heavy patients are deeply coma, bilateral mydriasis, complete hemiplegia of limbs and loss of brain rigidity;
therefore, k is a rehabilitation fluctuation system and is related to the disease grade of a cerebral apoplexy patient, and the value of k is a natural number in [1-3 ].
The k value is also kept approximately constant for a period of days.
As shown in fig. 3, the background may generate a graph (time-score graph) of the clinical rehabilitation score T (T), and display the T (T) value at each monitoring evaluation time point. The intelligent terminal can be synchronously issued, the patient and family members thereof can see the dynamic curve of the daily clinical rehabilitation score of the patient and the change of the daily clinical rehabilitation score, so that the portable monitoring function for timely, simply and conveniently monitoring the cerebral apoplexy rehabilitation condition is provided.
The daily clinical recovery score T (T) of the cerebral apoplexy patient is calculated through a background configuration algorithm, and the clinical recovery score T (T) is stored in a background database and registered under the identity ID of the cerebral apoplexy patient.
Cerebral apoplexy patients and their families can log in a background server through an intelligent terminal, and timely check the clinical rehabilitation score T (T) of each day and combine the clinical rehabilitation score T of the previous day 0 (T) comparing and judging the current clinical recovery score T (T) to the previous clinical recovery score T (the previous day) 0 (t) whether there is improvement.
By adopting the scheme, the cerebral apoplexy patient can acquire clinical multisource rehabilitation data without admission, and the rehabilitation degree self-check is performed based on a preset algorithm. The follow-up patient or family thereof can log in the background through the intelligent terminal and check the current cerebral apoplexy clinical rehabilitation score T (T) of the cerebral apoplexy patient in real time, and can finish the work of evaluating doctors instead, so that the patient or family thereof can know the current approximate recovery condition of the cerebral apoplexy patient at any time, the rehabilitation self-check of the cerebral apoplexy patient is carried out, the patient admission measurement flow is saved, and the clinical rehabilitation self-check of the patient is carried out through on-line intelligent identification and judgment, thereby saving the clinical main treatment check time.
As an optional embodiment of the present application, optionally, before acquiring clinical multisource rehabilitation data of a stroke patient in a clinical rehabilitation process, the method further comprises:
the cerebral apoplexy patient logs in a background server through an identity ID of the cerebral apoplexy patient on the intelligent terminal;
the background server registers and stores the identity ID of the cerebral apoplexy patient, carries out medical record identification in a background database according to the identity ID, and retrieves cerebral apoplexy medical record information generated for the cerebral apoplexy patient at the previous time;
and storing the cerebral apoplexy medical record information under the identity ID of the cerebral apoplexy patient, and transmitting the cerebral apoplexy medical record information of the cerebral apoplexy patient to the intelligent terminal through background synchronization.
On the intelligent terminal, the background server can be logged in through an applet, an APP or a webpage, re-or secondary login (secondary login in this embodiment) can be performed through the patient identity ID, the background server registers and stores the identity ID logged in by the terminal, and specific background identity authentication and login storage ID are completed by the configured background management system. The background server may be a database server of a hospital, such as a background visit management server. If the patient logs in the identity ID again, a case is generated for the patient and the identity ID is stored in a hospital background management system, the background can directly carry out case identification in a background database according to the identity ID after the patient logs in the background, and the information of the cerebral apoplexy medical record generated for the cerebral apoplexy patient before is called out, that is, if the patient carries out clinic or hospitalization before, the identity ID of the patient is stored in the hospital background management system, and the corresponding cerebral apoplexy medical record information is bound under the identity ID, and the information can be directly called out after the patient logs in.
The patient can apply for correcting the disease grade in the medical record to the background through the terminal according to the disease condition of the patient. The k value may also be reported by itself.
As an optional embodiment of the present application, optionally after calculating the clinical recovery score T (T) of the stroke patient, further comprising:
issuing the clinical rehabilitation score T (T) to the intelligent terminal logging in the identity ID through a background;
the intelligent terminal receives and visually displays the clinical rehabilitation score T (T).
If the clinical rehabilitation score is calculated by the background, the terminal can issue the score to the terminal logging in the ID, and after logging in the background, the terminal can also check the score and display the score on a display screen of the terminal.
As an optional embodiment of the present application, optionally, when calculating the clinical recovery score T (T) of the stroke patient, further comprising:
extracting clinical multisource rehabilitation data of the cerebral apoplexy patient at the previous time according to cerebral apoplexy medical record information which is stored in a background database and is generated for the cerebral apoplexy patient at the previous time;
according to the calculation mode (1) in claim 1, the clinical recovery score T of the cerebral apoplexy patient in the previous time is calculated 0 (t)；
Assigning the clinical rehabilitation score T 0 (t) storing in a background database and registering under the identity ID of the stroke patient.
In this embodiment, the algorithm in step S2 is adopted, and the calculation of the clinical rehabilitation score of the stroke patient can be implemented. Thus, in addition to the calculation of the recovery score for a stroke patient in a steady state, in particular in a sleep state, during a certain period of the day, the clinical recovery score for the previous or previous day may be calculated, after which the recovery score for the current and previous day may be obtained. Thus, the patient or the family of the patient is convenient to compare the rehabilitation condition of the patient.
See in particular the description above.
As an optional embodiment of the present application, optionally after calculating the clinical recovery score T (T) of the stroke patient, further comprising:
combining the clinical recovery score T (T) and the clinical recovery score T 0 (t) synchronously issuing the ID to the intelligent terminal logging in the ID through a background;
the intelligent terminal receives and visually displays the clinical rehabilitation score T (T) and the clinical rehabilitation score T 0 (t), and respectively displaying the respective rehabilitation monitoring time.
The clinical rehabilitation score of the current day and the previous day can be checked at the same time on the intelligent terminal, or can be displayed on a graph shown in fig. 3, and coordinates, namely corresponding real-time rehabilitation score and time coordinates, can be displayed at each time point on the graph.
As an alternative embodiment of the application, optionally, the step S t The method for obtaining (alpha):
acquiring an electroencephalogram monitoring signal diagram of a cerebral apoplexy patient on the same day;
in an electroencephalogram monitoring signal diagram, finding out a time period when an electroencephalogram monitoring signal of a cerebral apoplexy patient is in a stable state;
acquiring an electroencephalogram monitoring signal mean value S in the time period t (0) And calculates the limit value X of the brain electrical signal and the mean value S of the brain electrical monitoring signal in the brain electrical monitoring signal diagram t (0) Variance between:
x is the maximum value S in the brain electricity monitoring signal diagram respectively t (max) and brain electrical signal minimum value S t (min)；
Reporting the S through an intelligent terminal t (alpha) to the background.
The brain electrical monitoring real-time signal value is a signal value that a brain stroke patient is in a brain electrical stable state and in a stable state on the same day or in a certain time period.
As shown in fig. 4, fig. a is a normal brain wave signal, the fluctuation of which is not large, and the peak and trough of the brain wave signal are in smooth transition. And as shown in the graph b, the brain wave spectrum is an brain wave spectrum of a patient suffering from cerebral apoplexy and epileptic, the noise in the brain wave spectrum is clear, and the peak value fluctuation is large.
The epileptic cerebral apoplexy patient is in the rehabilitation stage, and the time period of the current brain electrical monitoring signal in a stable state is required to be found from the brain electrical signal map of the current day or a certain time period of the current day. As shown in fig. b, between the time nodes T1 and T2, the fluctuation is relatively smaller than the previous noise (the wave can be intercepted on the brain wave image, and the wave is automatically intercepted in a wave band with the fluctuation amplitude being biased to be stable), so that the wave can be considered as a relatively stable brain wave image of the epileptic brain stroke patient.
On the signal plot between time nodes T1 and T2, the signal peak of each peak trough can be found. The signal peaks can be monitored and output through an electroencephalogram monitor to obtain a peak value set M, and then an electroencephalogram monitoring signal mean value between T1 and T2 is obtained through calculation (after each peak value is orderly output to obtain the set M, each peak value in the peak value set M is orderly arranged in size, and the maximum value and the minimum value in the peak value set M are found). After calculating the mean value of the peak set M, the peak variance calculation between the time nodes T1 and T2 is needed, for example, the difference calculation between the maximum value and the minimum value in the peak set M and the mean value is needed. The sorting algorithm can be a self-setting algorithm program on a background calculation model.
Specifically calculating the maximum value S in the electroencephalogram monitoring signal diagram in the peak value set M t (max) and brain electrical signal minimum value S t (min) and the average value S respectively t (0) The variance between the two is respectively obtained, and half of the sum of the variances is taken as S t And (c) reporting the value of (alpha) to the background. The background may write the value into expression (1) (the same applies below).
As an optional embodiment of the present application, optionally, the method for obtaining GCS (t) includes:
configuring a glasgan coma scale to the intelligent terminal;
and (3) carrying out nerve function injury degree evaluation on the cerebral apoplexy patient, obtaining an evaluation value of the nerve function injury degree of the cerebral apoplexy patient on the same day, and reporting the evaluation value to the background through the intelligent terminal.
The glasgang coma scale (GCS score is less than or equal to 8 and is classified into coma state, and is a severe brain injury, 9-12 are classified into moderate injury, and 13-15 are classified into mild injury).
The system can be configured on an intelligent terminal, and patients or family members of the system can score the patients on a mobile phone, and the patients are uploaded to the background after scoring.
The specific operation can be that after the terminal logs in the APP, the Grassgo coma table is called in the background of the APP to perform scoring calculation, after scoring, the background is submitted, and the background writes the GCS (t) score into the (1).
As an optional embodiment of the present application, optionally, the method for obtaining G (t) comprises:
configuring a cerebral apoplexy Kang Fuhui repeated typing sub-table on the intelligent terminal;
and scoring the recovery of cerebral apoplexy patients, obtaining the recovery value of cerebral apoplexy of the current day, and reporting the recovery value to the background through the intelligent terminal.
Cerebral apoplexy Kang Fuhui scoring table contains scoring for rehabilitation exercise of four limbs and other parts, for example, exercise function assessment can be adopted: brunstrom's hemiplegia score, for example, the limb can be lifted, curled 45 °, no disorder, score 1. Specific rehabilitation recovery scoring criteria may be customized by the patient or implemented according to hospital criteria.
Therefore, the application can complete the self-monitoring of the recovery degree of cerebral apoplexy at home, and the patient or family members thereof can know the recovery condition of the patient by comparing the clinical recovery scores T (T) before and after, thereby saving the clinic measurement time.
It should be apparent to those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a flash memory (flash memory), a hard disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Example 2
Based on the implementation principle of embodiment 1, in another aspect of the present application, a clinical multisource data rehabilitation monitoring system is provided, for implementing the clinical multisource data rehabilitation monitoring method, which includes:
the intelligent terminal is used for logging in the background and reporting clinical multisource rehabilitation data of the cerebral apoplexy patient in the clinical rehabilitation process to the background;
the background server is used for receiving and calculating clinical rehabilitation scores T (T) of cerebral apoplexy patients in real time based on the clinical multisource rehabilitation data:
wherein,,
S t (alpha) is the brain electricity real-time monitoring signal value of a cerebral apoplexy patient at a certain time;
GCS (t) is an evaluation value of the nerve function injury degree of a cerebral apoplexy patient at a certain time;
g (t) is a recovery value of a cerebral apoplexy patient at a certain time;
k is a rehabilitation fluctuation system, is related to the disease grade of a cerebral apoplexy patient, and takes a natural number in [1-3 ]; and storing the clinical recovery score T (T) in a background database and registering under the identity ID of the stroke patient.
The interaction flow between the intelligent terminal and the background server is specifically described in embodiment 1.
The modules or steps of the application described above may be implemented in a general-purpose computing device, they may be centralized in a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by a computing device, such that they may be stored in a memory device and executed by a computing device, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
Example 3
As shown in fig. 5, in still another aspect, the present application further provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the one clinical multisource data rehabilitation monitoring method when executing the executable instructions.
Embodiments of the present disclosure provide for an electronic device that includes a processor and a memory for storing processor-executable instructions. Wherein the processor is configured to implement any of the foregoing methods of clinical multisource data rehabilitation monitoring when executing the executable instructions.
Here, it should be noted that the number of processors may be one or more. Meanwhile, in the electronic device of the embodiment of the disclosure, an input device and an output device may be further included. The processor, the memory, the input device, and the output device may be connected by a bus, or may be connected by other means, which is not specifically limited herein.
The memory is a computer-readable storage medium that can be used to store software programs, computer-executable programs, and various modules, such as: a program or module corresponding to a clinical multisource data rehabilitation monitoring method in an embodiment of the disclosure. The processor executes various functional applications and data processing of the electronic device by running software programs or modules stored in the memory.
The input device may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings of the device/terminal/server and function control. The output means may comprise a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. The clinical multisource data rehabilitation monitoring method is characterized by comprising the following steps of:
acquiring clinical multisource rehabilitation data of a cerebral apoplexy patient in a clinical rehabilitation process, and reporting the clinical multisource rehabilitation data to a background through an intelligent terminal;
the background calculates the clinical rehabilitation score T (T) of the cerebral apoplexy patient in real time based on the clinical multisource rehabilitation data:
wherein,,
S t (alpha) is the brain electricity real-time monitoring signal value of a cerebral apoplexy patient at a certain time;
GCS (t) is an evaluation value of the nerve function injury degree of a cerebral apoplexy patient at a certain time;
g (t) is a recovery value of a cerebral apoplexy patient at a certain time;
k is a rehabilitation fluctuation system, is related to the disease grade of a cerebral apoplexy patient, and takes a natural number in [1-3 ];
the clinical recovery score T (T) is stored in a background database and registered under the identity ID of the stroke patient.
2. The method of claim 1, further comprising, prior to acquiring clinical multisource rehabilitation data of a stroke patient during clinical rehabilitation:
the cerebral apoplexy patient logs in a background server through an identity ID of the cerebral apoplexy patient on the intelligent terminal;
the background server registers and stores the identity ID of the cerebral apoplexy patient, carries out medical record identification in a background database according to the identity ID, and retrieves cerebral apoplexy medical record information generated for the cerebral apoplexy patient at the previous time;
and storing the cerebral apoplexy medical record information under the identity ID of the cerebral apoplexy patient, and transmitting the cerebral apoplexy medical record information of the cerebral apoplexy patient to the intelligent terminal through background synchronization.
3. The method of clinical multisource data rehabilitation monitoring according to claim 1, further comprising, after calculating the clinical rehabilitation score T (T) of the stroke patient:
issuing the clinical rehabilitation score T (T) to the intelligent terminal logging in the identity ID through a background;
the intelligent terminal receives and visually displays the clinical rehabilitation score T (T).
4. The method for clinical multisource data rehabilitation monitoring according to claim 3, wherein when calculating the clinical rehabilitation score T (T) of a stroke patient, further comprising:
extracting clinical multisource rehabilitation data of the cerebral apoplexy patient at the previous time according to cerebral apoplexy medical record information which is stored in a background database and is generated for the cerebral apoplexy patient at the previous time;
according to the calculation mode (1) in claim 1, the clinical recovery score T of the cerebral apoplexy patient in the previous time is calculated 0 (t)；
Assigning the clinical rehabilitation score T 0 (t) storing in a background database and registering under the identity ID of the stroke patient.
5. The method of clinical multisource data rehabilitation monitoring according to claim 4, further comprising, after calculating the clinical rehabilitation score T (T) of the stroke patient:
combining the clinical recovery score T (T) and the clinical recovery score T 0 (t) synchronously issuing the ID to the intelligent terminal logging in the ID through a background;
the intelligent terminal receives and visually displays the clinical rehabilitation score T (T) and the clinical rehabilitation score T 0 (t), and respectively displaying the respective rehabilitation monitoring time.
6. The method of claim 1, wherein S t The method for obtaining (alpha):
acquiring an electroencephalogram monitoring signal diagram of a cerebral apoplexy patient on the same day;
in an electroencephalogram monitoring signal diagram, finding out a time period when an electroencephalogram monitoring signal of a cerebral apoplexy patient is in a stable state;
acquiring an electroencephalogram monitoring signal mean value S in the time period t (0) And calculates the limit value X of the brain electrical signal and the mean value S of the brain electrical monitoring signal in the brain electrical monitoring signal diagram t (0) Variance between:
x is the maximum value S in the brain electricity monitoring signal diagram respectively t (max) and brain electrical signal minimum value S t (min)；
Reporting the S through an intelligent terminal t (alpha) to the background.
7. The method of clinical multisource data rehabilitation monitoring according to claim 1, wherein the method of obtaining GCS (t):
configuring a glasgan coma scale to the intelligent terminal;
and (3) carrying out nerve function injury degree evaluation on the cerebral apoplexy patient, obtaining an evaluation value of the nerve function injury degree of the cerebral apoplexy patient on the same day, and reporting the evaluation value to the background through the intelligent terminal.
8. The method for clinical multisource data rehabilitation monitoring according to claim 1, wherein the method for acquiring G (t) comprises the steps of:
configuring a cerebral apoplexy Kang Fuhui repeated typing sub-table on the intelligent terminal;
and scoring the recovery of cerebral apoplexy patients, obtaining the recovery value of cerebral apoplexy of the current day, and reporting the recovery value to the background through the intelligent terminal.
9. A clinical multisource data rehabilitation monitoring system for implementing the clinical multisource data rehabilitation monitoring method according to any one of claims 1 to 8, comprising:
the intelligent terminal is used for logging in the background and reporting clinical multisource rehabilitation data of the cerebral apoplexy patient in the clinical rehabilitation process to the background;
the background server is used for receiving and calculating clinical rehabilitation scores T (T) of cerebral apoplexy patients in real time based on the clinical multisource rehabilitation data:
wherein,,
S t (alpha) is the brain electricity real-time monitoring signal value of a cerebral apoplexy patient at a certain time;
GCS (t) is an evaluation value of the nerve function injury degree of a cerebral apoplexy patient at a certain time;
g (t) is a recovery value of a cerebral apoplexy patient at a certain time;
k is a rehabilitation fluctuation system, is related to the disease grade of a cerebral apoplexy patient, and takes a natural number in [1-3 ]; and storing the clinical recovery score T (T) in a background database and registering under the identity ID of the stroke patient.
10. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the clinical multisource data rehabilitation monitoring method of any one of claims 1-8 when executing the executable instructions.
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| CN117612713B (en) * | 2023-10-08 | 2024-06-11 | 郑州大学 | Intelligent analysis system and method for cerebral apoplexy behavior based on cloud computing |
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