CN115568867B - Treatment efficacy evaluation method, device and storage medium - Google Patents
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Abstract
The application discloses a treatment effect evaluation method, a device and a storage medium, relating to the technical field of signal processing, wherein the method comprises the following steps: acquiring a first electroencephalogram signal of a target patient in a preset time period; acquiring a second electroencephalogram signal of the target patient in the preset time period after the target patient is treated; and evaluating the curative effect of the treatment according to the change of the first electroencephalogram signal and the second electroencephalogram signal. The problem that whether nerve regulation is effective or not cannot be quantitatively evaluated in the prior art is solved, and the effect that the curative effect of treatment can be further quantified according to the change of the two brain electrical signals is achieved.
Description
Technical Field
The application relates to a treatment effect evaluation method, a treatment effect evaluation device and a storage medium, and belongs to the technical field of signal processing.
Background
Transcranial neuromodulation (e.g., transcranial magnetic stimulation, transcranial electrical stimulation, etc.) is one of the effective methods of treating cognitive disorders, mental disorders, conscious disturbance, and electroencephalogram oscillations are a common assessment indicator of neuromodulation effectiveness; however, the electroencephalogram oscillation is an electroencephalogram signal, and is difficult to quantify, that is, whether the nerve regulation is effective or not cannot be quantitatively evaluated in the existing scheme, and a doctor cannot clearly know the treatment effect.
Disclosure of Invention
The application aims to provide a treatment effect evaluation method, a treatment effect evaluation device and a storage medium, which are used for solving the problems in the prior art.
In order to achieve the above purpose, the present application provides the following technical solutions:
according to a first aspect, embodiments of the present application provide a method for evaluating therapeutic efficacy, the method comprising:
acquiring a first electroencephalogram signal of a target patient in a preset time period;
acquiring a second electroencephalogram signal of the target patient in the preset time period after the target patient is treated;
and evaluating the curative effect of the treatment according to the change of the first electroencephalogram signal and the second electroencephalogram signal.
Optionally, the acquiring the second electroencephalogram signal of the target patient in the preset time period after the target patient is treated includes:
applying stimulation to the brain of the target patient by a preset mode, wherein the preset mode comprises electric stimulation and/or magnetic stimulation;
and acquiring the second electroencephalogram signal of the target patient in the preset time period when the stimulus is applied.
Optionally, the applying stimulation to the brain of the target patient through a preset mode includes:
dividing the first electroencephalogram signal into n frequency bands, wherein n is a positive integer;
for each of m frequency bands, acquiring a peak frequency value of the frequency band and a power value corresponding to the peak frequency value, wherein the m frequency bands are all or part of the n frequency bands;
for each acquired peak frequency value, applying electrical stimulation to the brain of the target patient according to the peak frequency value;
the acquiring the second electroencephalogram signal of the target patient in the preset time period when the stimulus is applied includes:
and acquiring a second electroencephalogram signal of the target patient in the preset time period when the electric stimulation is applied according to each peak frequency value.
Optionally, the evaluating the therapeutic effect according to the change of the first electroencephalogram signal and the second electroencephalogram signal includes:
for each of the m frequency bands, acquiring a power value corresponding to a peak frequency value of a second electroencephalogram signal after the electric stimulation is applied according to the peak frequency value of the frequency band;
and evaluating the curative effect of the treatment according to the power value before electric stimulation and the power value after electric stimulation in each frequency band.
Optionally, the evaluating the therapeutic effect according to the power value before the electric stimulation and the power value after the electric stimulation in each frequency band includes:
for each frequency band, calculating the difference value between the power value after the electric stimulation and the power value before the electric stimulation of the frequency band;
evaluating the therapeutic effect of the treatment based on the difference; wherein the difference and the therapeutic effect are in positive correlation.
Optionally, the obtaining the peak frequency value of the frequency band and the power value corresponding to the peak frequency value includes:
sampling the frequency band according to a preset step length to obtain at least two frequency points;
for each frequency point, obtaining the sum of power values of the frequency point in the preset time period;
and determining the frequency value of the frequency point with the largest sum as the peak frequency value of the frequency band, and determining the largest sum as the power value corresponding to the peak frequency value.
Optionally, the evaluating the therapeutic effect according to the change of the first electroencephalogram signal and the second electroencephalogram signal includes:
dividing the first electroencephalogram signal and the second electroencephalogram signal into n frequency bands respectively, wherein n is a positive integer;
for each electroencephalogram signal, acquiring a peak frequency value of each of m frequency bands and a power value corresponding to the peak frequency value, wherein the m frequency bands are all or part of the n frequency bands;
and for each frequency band in the m frequency bands, evaluating the treatment effect according to the power value of the frequency band in the first electroencephalogram signal and the power value of the frequency band in the second electroencephalogram signal.
Optionally, the evaluating the therapeutic effect according to the power value of the frequency band in the first electroencephalogram signal and the power value of the frequency band in the second electroencephalogram signal includes:
calculating a difference value between the power value of the frequency band in the second electroencephalogram signal and the power value of the frequency in the first electroencephalogram signal;
and evaluating the treatment effect according to the calculated difference value, wherein the difference value and the treatment effect are in positive correlation.
In a second aspect, there is provided a therapeutic efficacy assessment device comprising a memory having stored therein at least one program instruction and a processor for implementing the method according to the first aspect by loading and executing the at least one program instruction.
In a third aspect, there is provided a computer storage medium having stored therein at least one program instruction that is loaded and executed by a processor to implement the method of the first aspect.
Acquiring a first electroencephalogram signal of a target patient in a preset time period; acquiring a second electroencephalogram signal of the target patient in the preset time period after the target patient is treated; and evaluating the curative effect of the treatment according to the change of the first electroencephalogram signal and the second electroencephalogram signal. The problem that whether nerve regulation is effective or not cannot be quantitatively evaluated in the prior art is solved, and the effect that the curative effect of treatment can be further quantified according to the change of the two brain electrical signals is achieved.
The foregoing description is only an overview of the present application, and is intended to provide a better understanding of the present application, as it is embodied in the following description, with reference to the preferred embodiments of the present application and the accompanying drawings.
Drawings
FIG. 1 is a flow chart of a method for evaluating therapeutic effect according to an embodiment of the present application;
fig. 2 is a schematic diagram of an acquisition point for acquiring an electroencephalogram signal according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the application are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the description of the present application, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art. In addition, the technical features of the different embodiments of the present application described below may be combined with each other as long as they do not collide with each other.
Referring to fig. 1, a flowchart of a method for evaluating therapeutic effect according to an embodiment of the present application is shown, and as shown in fig. 1, the method includes:
step 101, acquiring a first electroencephalogram signal of a target patient in a preset time period;
in actual implementation, the signal acquisition conditions of the application are as follows: the sampling rate was 512Hz, low pass filtered 30Hz, high pass filtered 0.5Hz, recorded at 19 acquisition points (Fp 1, fp2, F3, F4, C3, C4, P3, P4, O1, O2, F7, F8, T3, T4, T5, T6, fz, cz, pz) of the 10-20 international system by means of individual scalp electrodes, with the earlobe as reference electrode. For example, please refer to fig. 2, which illustrates a schematic diagram of each acquisition point when the present application acquires an electroencephalogram signal.
The step obtains signals of the 19 electrode positions of the target patient in a preset time period in a first state, and further obtains a first electroencephalogram signal. The first state may be a state when the target patient is not treated or is subjected to preliminary treatment.
The preset time period may be a default time period or a custom time period of the system, for example, may be 3 minutes.
In general, the first electroencephalogram signal is a signal acquired and stored in advance by the above-described acquisition method, and therefore, this step is generally to read the first electroencephalogram signal from the memory. For example, when a doctor needs to know the curative effect of treatment, the doctor can trigger to acquire and store a first electroencephalogram signal acquired and stored when the patient of interest makes the latest visit.
Step 102, obtaining a second electroencephalogram signal of the target patient in a preset time period after treatment;
when a patient suffers from the neurological disease, the patient can be treated by means of transcranial electrical stimulation or transcranial electrical stimulation, or drug treatment, etc., and in order to obtain the treatment effect of the treatment for a period of time, the application can acquire a second brain electrical signal of the target patient in a preset period of time after the treatment.
The term "after treatment" as used herein refers to a treatment that has been performed to a certain extent with respect to the time of the acquisition in step 101, but the untreated state in step 101 or the state after a certain period of treatment is not limited, and the treatment result in this step is not limited, and may be a recovery or a non-recovery, which is not limited in this aspect of the present application.
The second electroencephalogram signal is acquired in a similar manner to the above steps, except that the time for acquiring and measuring the target patient is different, step 101 is the previous acquisition, and the step is the acquisition after a certain treatment.
In addition, when the second electroencephalogram signal is actually obtained, the target patient can be in a natural state, namely in a resting state, and a certain stimulus can be applied to the target patient, so that the specific implementation of the step is different based on different implementation modes.
For the first possible implementation manner, that is, when the target patient is in a natural state, that is, in a resting state, the second electroencephalogram signal may be directly obtained, and the obtaining manner is similar to that of step 101, which is not described herein.
For a second possible implementation, that is, when a certain stimulus needs to be applied to the target patient, this step may include:
firstly, applying stimulation to the brain of a target patient in a preset mode, wherein the preset mode comprises electric stimulation and/or magnetic stimulation;
the application is exemplified by applying electrical stimulation, which can be performed on a target patient using a transcranial electrical stimulator using a current of a certain intensity (typically 0.5mA-2 mA).
In actual implementation, the method comprises the following steps:
(1) Dividing the first electroencephalogram signal into n frequency bands, wherein n is a positive integer;
the first electroencephalogram signal is divided into n frequency bands according to frequencies, for example, into 0.5Hz-4Hz (international electroencephalogram is commonly named as delta wave), 4Hz-8Hz (sitz wave), 8Hz-14Hz (alpha wave), 14Hz-30Hz (beta wave), 30Hz-40Hz (gamma wave). Of course, in actual implementation, the segments may be performed by other segmentation methods, which is not limited in the present application.
(2) Obtaining a peak frequency value of the frequency band and a power value corresponding to the peak frequency value for each of the m frequency bands;
wherein the m frequency bands are all or part of the n frequency bands. In practical implementation, a doctor may select one or more of n frequency bands according to personal needs, which is not limited by the present application.
Optionally, the step includes:
A. sampling the frequency band according to a preset step length to obtain at least two frequency points;
for each frequency band, sampling each frequency band to obtain at least two frequency points. For example, taking 8Hz-14Hz (alpha wave) as an example, 8-14Hz is divided into 60 different frequency points according to a step size of 0.1 Hz.
B. For each frequency point, obtaining the sum of power values of the frequency point in a preset time period;
and obtaining the sum of the power values of the frequency points in a preset time period for each frequency point obtained by sampling.
C. And determining the frequency value of the frequency point with the largest sum as the peak frequency value of the frequency band, and determining the largest sum as the power value corresponding to the peak frequency value.
For example, if the frequency point at which the sum of the calculated power values is maximum is 10.5Hz, the peak frequency value of the frequency band can be determined as 10.5Hz, and correspondingly, the sum of the calculated power values is determined as the power value corresponding to the peak frequency value, for example, 100.
Similarly, a peak frequency value and a power value of each of the m frequency bands, for example, a frequency band (delta wave) of 0.5Hz-4Hz, may be obtained, and the calculated peak frequency value is 3.5Hz, and the power value is 30; for another example, in the 4Hz-8Hz frequency band (Sitower wave), the calculated Sitower peak frequency value is 6.1 Hz, and the power value is 35.
(3) For each peak frequency value obtained, applying electrical stimulation to the brain of the target patient according to the peak frequency value.
And for each acquired peak frequency value, performing transcranial electric stimulation on the brain of the target patient by taking each peak frequency value as an initial discharge stimulation frequency. Of course, in actual implementation, each peak frequency value may be corrected, and transcranial electric stimulation may be performed with the corrected peak frequency value as the initial discharge stimulation frequency. And correcting each peak frequency value, wherein the correction of each peak frequency value comprises correction of the peak frequency value according to positive and negative preset values.
Second, a second brain electrical signal of the target patient in a preset time period when the stimulus is applied is acquired.
In the above steps, m frequency bands are set, and when m is greater than 1, the step can be correspondingly implemented as follows: and acquiring a second electroencephalogram signal of the target patient in a preset time period when the electric stimulation is applied according to each peak frequency value. That is, m second electroencephalogram signals can be correspondingly acquired.
Step 103, evaluating the curative effect of the treatment according to the change of the first brain electrical signal and the second brain electrical signal.
In a first possible embodiment of the present application, the step comprises:
firstly, dividing a first electroencephalogram signal and a second electroencephalogram signal into n frequency bands respectively, wherein n is a positive integer;
secondly, for each electroencephalogram signal, obtaining a peak frequency value and a power value corresponding to the peak frequency value of each of m frequency bands, wherein the m frequency bands are all or part of n frequency bands;
the above two steps are similar to the specific implementation in the above embodiment, and will not be repeated here.
Thirdly, for each of the m frequency bands, evaluating the therapeutic effect according to the power value of the frequency band in the first electroencephalogram signal and the power value of the frequency band in the second electroencephalogram signal.
Optionally, the step includes:
(1) Calculating the difference value between the power value of the frequency band in the second electroencephalogram signal and the power value of the frequency in the first electroencephalogram signal;
(2) And evaluating the treatment effect according to the calculated difference value, wherein the difference value and the treatment effect are in positive correlation.
That is, the larger the difference value is, the better the therapeutic effect is in the interval time period of the two electroencephalogram signals, and on the contrary, the smaller the difference value is, the worse the therapeutic effect is.
In actual implementation, after treatment, the power values of different wave bands may be the same or different, that is, the same treatment mode may have the same or different curative effects on the clinical characteristics corresponding to the different wave bands.
In a second possible embodiment of the present application, the step comprises:
firstly, for each of m frequency bands, acquiring a power value corresponding to a peak frequency value of a second electroencephalogram signal after electric stimulation is applied according to the peak frequency value of the frequency band;
for example, for a delta wave, after applying electrical stimulation using a peak frequency value of the delta band, obtaining the peak frequency value of the delta band and a corresponding power value in the second electroencephalogram signal; for another example, for the sitagliptin wave, after the electrical stimulation is applied using the peak frequency value of the sitagliptin band, the peak frequency value of the sitagliptin band and the corresponding power value in the second electroencephalogram signal are obtained. And so on.
Second, the therapeutic effect is evaluated according to the power value before and after the electric stimulation of each frequency band.
Specifically, the step may include:
(1) For each frequency band, calculating the difference value between the power value after the electric stimulation and the power value before the electric stimulation of the frequency band;
(2) Evaluating the therapeutic effect based on the difference; wherein the difference and the therapeutic effect are in positive correlation.
That is, the larger the difference value is, the better the therapeutic effect is in the interval time period of the two electroencephalogram signals, and on the contrary, the smaller the difference value is, the worse the therapeutic effect is.
It should be noted that after the therapeutic effect is obtained, the therapeutic effect can be displayed, and the medical staff can adjust the therapeutic mode according to the actual effect after viewing.
In summary, the first electroencephalogram signal of the target patient in the preset time period is obtained; acquiring a second electroencephalogram signal of the target patient in the preset time period after the target patient is treated; and evaluating the curative effect of the treatment according to the change of the first electroencephalogram signal and the second electroencephalogram signal. The problem that whether nerve regulation is effective or not cannot be quantitatively evaluated in the prior art is solved, and the effect of quantitatively evaluating the curative effect according to the change of the two brain electrical signals is achieved.
The present application also provides a therapeutic effect assessment device comprising a memory having stored therein at least one program instruction and a processor for implementing the method as described above by loading and executing the at least one program instruction.
The present application also provides a computer storage medium having stored therein at least one program instruction that is loaded and executed by a processor to implement a method as described above.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (5)
1. A therapeutic effect assessment device, the device being configured to:
acquiring a first electroencephalogram signal of a target patient in a preset time period;
acquiring a second electroencephalogram signal of the target patient in the preset time period after the target patient is treated;
evaluating a therapeutic effect according to the change of the first electroencephalogram signal and the second electroencephalogram signal;
the acquiring the second electroencephalogram signal of the target patient in the preset time period after treatment comprises the following steps:
applying stimulation to the brain of the target patient by a preset mode, wherein the preset mode comprises electric stimulation and/or magnetic stimulation;
acquiring the second electroencephalogram signal of the target patient in the preset time period when the stimulus is applied;
the applying stimulation to the brain of the target patient in a preset mode comprises the following steps:
dividing the first electroencephalogram signal into n frequency bands, wherein n is a positive integer;
for each of m frequency bands, acquiring a peak frequency value of the frequency band and a power value corresponding to the peak frequency value, wherein the m frequency bands are all or part of the n frequency bands;
for each acquired peak frequency value, applying electrical stimulation to the brain of the target patient according to the peak frequency value;
the acquiring the second electroencephalogram signal of the target patient in the preset time period when the stimulus is applied includes:
acquiring a second electroencephalogram signal of the target patient in the preset time period when the electric stimulation is applied according to each peak frequency value;
the evaluating the therapeutic effect according to the change of the first brain electrical signal and the second brain electrical signal comprises:
for each of the m frequency bands, acquiring a power value corresponding to a peak frequency value of a second electroencephalogram signal after the electric stimulation is applied according to the peak frequency value of the frequency band;
evaluating the curative effect of the treatment according to the power value before electric stimulation and the power value after electric stimulation in each frequency band;
the step of evaluating the therapeutic effect according to the power value before and after the electric stimulation of each frequency band comprises the following steps:
for each frequency band, calculating the difference value between the power value after the electric stimulation and the power value before the electric stimulation of the frequency band;
evaluating the therapeutic effect of the treatment based on the difference; wherein the difference and the therapeutic effect are in positive correlation;
the obtaining the peak frequency value of the frequency band and the corresponding power value at the peak frequency value includes:
sampling the frequency band according to a preset step length to obtain at least two frequency points;
for each frequency point, obtaining the sum of power values of the frequency point in the preset time period;
and determining the frequency value of the frequency point with the largest sum as the peak frequency value of the frequency band, and determining the largest sum as the power value corresponding to the peak frequency value.
2. The apparatus of claim 1, wherein said evaluating a therapeutic effect based on changes in said first and second brain electrical signals comprises:
dividing the first electroencephalogram signal and the second electroencephalogram signal into n frequency bands respectively, wherein n is a positive integer;
for each electroencephalogram signal, acquiring a peak frequency value of each of m frequency bands and a power value corresponding to the peak frequency value, wherein the m frequency bands are all or part of the n frequency bands;
and for each frequency band in the m frequency bands, evaluating the treatment effect according to the power value of the frequency band in the first electroencephalogram signal and the power value of the frequency band in the second electroencephalogram signal.
3. The apparatus of claim 2, wherein the evaluating the therapeutic effect based on the power value of the frequency band in the first electroencephalogram signal and the power value of the frequency band in the second electroencephalogram signal comprises:
calculating a difference value between the power value of the frequency band in the second electroencephalogram signal and the power value of the frequency in the first electroencephalogram signal;
and evaluating the treatment effect according to the calculated difference value, wherein the difference value and the treatment effect are in positive correlation.
4. The apparatus of claim 1, further comprising a memory having at least one program instruction stored therein and a processor that loads and executes the at least one program instruction.
5. The apparatus of claim 1, further comprising a computer storage medium having at least one program instruction stored therein, the at least one program instruction being loaded and executed by the processor.
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