CN111772573B - Binocular vergence sensitivity detection device and data processing method thereof - Google Patents

Binocular vergence sensitivity detection device and data processing method thereof Download PDF

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CN111772573B
CN111772573B CN202010642688.9A CN202010642688A CN111772573B CN 111772573 B CN111772573 B CN 111772573B CN 202010642688 A CN202010642688 A CN 202010642688A CN 111772573 B CN111772573 B CN 111772573B
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CN111772573A (en
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陈小荣
王文文
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Chongqing Nengneng Technology Co ltd
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    • AHUMAN NECESSITIES
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    • A61HPHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
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Abstract

The invention discloses a binocular vergence sensitivity detection device and a data processing method thereof, which are simple to operate, reduce professional and experience requirements on vergence sensitivity detection personnel, and improve the detection efficiency and the result reliability. The detection device comprises a stimulation device and a detection system, wherein the stimulation device alternately carries out convergent stimulation and scattered stimulation on the two eyes. The detection system comprises a detection module and a processing module, wherein the detection module detects that the stimulation device switches stimulation types and outputs switching signals, the processing module records the time data according to the time for acquiring the switching signals, and the processing module determines the convergence and dispersion sensitivity, the dispersion time and the convergence time of the eyes according to all the time data recorded in the whole detection process. The method can train the convergence and dispersion sensitivity of the eyes, automatically record time data required by fusion of the eyes under convergence stimulation and dispersion stimulation in the detection process, and determine the convergence and dispersion sensitivity, dispersion time and convergence time of the eyes according to the recorded time data.

Description

Binocular vergence sensitivity detection device and data processing method thereof
Technical Field
The invention relates to the field of equipment for testing and training eyes, in particular to a binocular vergence sensitivity detection device and a data processing method thereof.
Background
The abnormal dispersion of the eyes is one of the main factors causing asthenopia, and various methods are used for checking and training the dispersion function in the clinic of eye vision. Vergence examination includes detection of AC/a, vergence amplitude, vergence sensitivity, etc., wherein vergence sensitivity reflects the ability of the subject's eyes to make vergence response transformation to converging stimulus and scattering stimulus, and is an important index for binocular vision function detection. The operation process of the conventional gather-scatter sensitivity inspection is complicated, the requirements on the professional ability of the inspector and the degree of cooperation of the inspected person are high, the timing and counting are inconvenient, and the error is large. The device is simple to operate, convenient to count, high in result reliability and capable of efficiently detecting the dispersion sensitivity by only an inspector with a certain professional foundation.
Disclosure of Invention
In order to solve the technical problems, the invention provides the binocular vergence sensitivity detection device and the data processing method thereof, which are simple to operate, and can efficiently detect the vergence sensitivity by only an inspector with a certain professional foundation.
The technical proposal is as follows:
in a first aspect, there is provided a binocular vergence sensitivity detection apparatus comprising:
a stimulation device for alternately performing convergence stimulation and dispersion stimulation on both eyes;
the detection system is used for detecting the stimulation type of the stimulation device, recording time data of each time of switching of the stimulation device, wherein the time data comprise the switching time of the stimulation device and the stimulation type corresponding to the stimulation device before switching, and determining the convergence and dispersion sensitivity, the dispersion time and the convergence time of the eyes according to all recorded time data.
With reference to the first aspect, in a first implementation manner of the first aspect, the stimulation device includes a turning mirror, where the turning mirror is provided with a Bo triple prism group, a Bi triple prism group, a turning mirror frame, and a driving device, where the Bo triple prism group and the Bi triple prism group are installed on the turning mirror frame, the turning mirror frame is connected with the driving device, and the driving device drives the turning mirror frame to turn to switch the stimulation category.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the driving device includes a servo motor, a driver, and a key switch, and a driving shaft of the servo motor is connected with the turning frame through a transmission mechanism;
the key switch is used for sending a turnover signal to the driver when being pressed;
and the driver is used for controlling the servo motor to drive the overturning frame to overturn after receiving the overturning signal.
With reference to the first implementation manner of the first aspect, in a third implementation manner of the first aspect, the detection system includes:
the detection module is used for detecting that the stimulation device switches stimulation types and outputting a switching signal;
and the processing module is used for recording the time data according to the time for acquiring the switching signal and determining the convergence and dispersion sensitivity, the dispersing time and the convergence time of the eyes according to all the time data recorded in the whole detection process.
With reference to the third implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the detection module includes a displacement sensor, where the displacement sensor is configured to detect that the turning mirror turns.
In a second aspect, there is provided a data processing method of a binocular vergence sensitivity detection apparatus, the detection apparatus including a detection system, the data processing method configured by the detection system including:
determining the stimulation type corresponding to the current stimulation device and timing;
detecting whether the stimulation device switches the stimulation type, and recording time data when the stimulation device switches the stimulation type when the stimulation device is detected to switch the stimulation type;
cycling until the detection is finished;
the convergence sensitivity, convergence time and convergence time of both eyes are determined based on all the recorded time data.
With reference to the second aspect, in a first implementation manner of the second aspect, the determining and timing the stimulus category corresponding to the current stimulus device includes: and determining the stimulus category corresponding to the stimulus device at the beginning of detection, and determining the stimulus category corresponding to the stimulus device after each switching in the detection process.
With reference to the first implementation manner of the second aspect, in a second implementation manner of the second aspect, the detection system determines a stimulus category corresponding to the stimulus device at the beginning of detection according to pre-stored stimulus category information, and determines a stimulus category corresponding to the stimulus device after switching according to the stimulus category in the latest recorded time data in the detection process.
With reference to the second aspect, in a third implementation manner of the second aspect, the detection system calculates the convergence sensitivity according to the determined convergence time and the determined convergence time.
With reference to the second aspect, in a fourth implementation manner of the second aspect, the detection system determines the convergence time and the convergence time by using the following method:
classifying all recorded time data according to the stimulus category to obtain a convergence data set and a dispersion data set which respectively correspond to the convergence stimulus and the dispersion stimulus;
processing the convergence data set and the dispersion data set by adopting a dispersion analysis algorithm to remove error data;
the convergence time and the convergence time are calculated according to the processed convergence data set and the convergence data set.
The beneficial effects are that: the binocular convergence and dispersion sensitivity detection device and the data processing method thereof can alternately perform convergence stimulation and dispersion stimulation on the two eyes in the detection process, not only can perform convergence and dispersion sensitivity training on the two eyes, but also can automatically record time data required by fusion of the two eyes under the convergence stimulation and the dispersion stimulation respectively in the detection process, and determine convergence and dispersion sensitivity, dispersion time and convergence time of the two eyes according to the recorded time data. The efficiency of the gather-scatter sensitivity inspection process is improved, and the reliability of result data is improved; and the result of the gather-scatter sensitivity training is automatically recorded, so that the training is more targeted and easier to adhere.
Drawings
FIG. 1 is a schematic block diagram of a detection device of the present invention;
FIG. 2 is a schematic block diagram of a stimulation device;
FIG. 3 is a schematic block diagram of a detection system;
FIG. 4 is a flow chart of a data processing method of the present invention;
FIG. 5 is a specific detection flow chart of a data processing method;
fig. 6 is a flowchart for determining the time of dispersion and the time of convergence.
Detailed Description
The invention is further described below with reference to examples and figures.
The block diagram of the binocular vergence sensitivity detection apparatus shown in fig. 1 includes:
a stimulation device for alternately performing convergence stimulation and dispersion stimulation on both eyes;
the detection system is used for detecting the stimulation type of the stimulation device, recording time data of each time of switching of the stimulation device, wherein the time data comprise the switching time of the stimulation device and the stimulation type corresponding to the stimulation device before switching, and determining the convergence and dispersion sensitivity, the dispersion time and the convergence time of the eyes according to all recorded time data.
Specifically, the vergence sensitivity refers to the vergence period of the eyes within 1 minute, and the vergence period refers to the transition of the eyes from the aggregation state to the dispersion state and then from the dispersion state to the aggregation state. The convergence time refers to the time required for the eyes to move from the dispersed state to the integrated state, and the dispersion time refers to the time required for the eyes to move from the integrated state to the dispersed state.
Upon detection, the subject observed 2 images fused into a single image under convergent stimuli, indicating that both eyes entered the corresponding aggregate state. At this time, the testee can switch the stimulation device to the scattered stimulation to induce the eyes to enter the scattered state, when the testee observes 2 images to fuse into a single image again, the eyes are indicated to enter the corresponding scattered state, and the testee switches the stimulation device to the converged stimulation again to induce the eyes to enter the integrated state. By repeating the steps, the eyes can be alternately induced to enter the aggregation state and the dispersion state, and aggregation and dispersion training of the eyes is completed.
The subject may alternately perform convergent and divergent stimulation on both eyes using the stimulation device, wherein the convergent stimulation may deviate light rays incident on the eyes to the temporal sides of the eyes, thereby inducing the eyes to converge into a collective state. The spreading stimulus may cause light rays incident to the eyes to deviate toward the nose side of the eyes, thereby inducing the abduction of the eyes to a spread state.
In the detection process, the detection system can automatically record the stimulus category of the induced eyes before switching each time the stimulus device is switched, and the time required for the eyes to transition to the corresponding state under the stimulus of the stimulus category. After the detection is finished, the detection system can count the convergence and dispersion sensitivity, the dispersion time and the convergence time of the eyes in the whole detection process according to all recorded time data. Therefore, the testee can automatically detect the sensitivity of the binocular vergence without matching with professional inspectors.
In this embodiment, preferably, in order to facilitate the detection of the testee, the stimulating device includes a turning mirror, where the turning mirror is provided with a Bo prism group and a Bi prism group, where the Bo prism group and the Bi prism group include 2 Bo prisms and Bi prisms that are arranged side by side, respectively, and the Bo prism group and the Bi prism group may be arranged in parallel up and down on the turning mirror frame or the translation mirror frame, or may be arranged on the plane rotation mirror frame according to a certain angle intersection.
The Bo triple prism group and the Bi triple prism group can respectively induce the eyes to enter a collection state and a dispersion state, and the types of the triple prism groups in front of the eyes can be switched by turning the turning mirror so as to achieve the corresponding stimulation types of the switching stimulation device.
In order to facilitate the operation of a testee, the turning mirror is provided with a driving device, and the driving device is connected with a turning mirror frame provided with a Bo triple prism group and a Bi triple prism group to drive the turning mirror frame to turn. In this embodiment, as shown in fig. 2, the driving device includes a servo motor, a driver, and a key switch, where a driving shaft of the servo motor is connected to the stimulation device through a transmission mechanism, the key switch is used to send a turning signal to the driver when pressed, and the driver is used to control the servo motor to drive the turning frame to turn after receiving the turning signal. The specific installation structure of the whole tilting mirror is basically the same as that of the prior patent (publication No. CN 208808450U).
The control signal end of the driver is connected with a signal source through a key switch, when the influence fusion is observed by a testee to form a single image during detection, the driver can obtain a turnover signal only by pressing the key switch, so that the servo motor is controlled to rotate, and the servo motor drives the turnover mirror bracket to turn over by a certain angle through a transmission mechanism, so that the lens group in front of the eyes of the testee can be switched, and the stimulation type of the stimulation device is switched.
In this embodiment, preferably, as shown in fig. 1, the detection system includes:
the detection module is used for detecting that the stimulation device switches stimulation types and outputting a switching signal;
and the processing module is used for recording the time data according to the time for acquiring the switching signal and determining the convergence and dispersion sensitivity, the dispersing time and the convergence time of the eyes according to all the time data recorded in the whole detection process.
Specifically, as shown in fig. 3, the processing module may include a processor, to which a timing module, a memory, a signal interface circuit, and the like are connected. The timing module is used for timing, the memory is used for storing time data, and the signal interface circuit is used for being in signal connection with the detection module.
When the detection module detects that the turning mirror turns over, the detection module can send a switching signal to the processor, and after the processor obtains the switching signal through the signal interface circuit, the stimulation type corresponding to the current stimulation device can be determined according to the stimulation type corresponding to the time data which is newly recorded in the memory. And simultaneously, starting timing through the timing module until the switching signal sent by the detection module is acquired again. The processor generates time data according to the switching time recorded by the timing module and the stimulation category, and stores the time data in the memory. After the detection is finished, the processor can call all stored time data from the memory terminal to calculate so as to obtain convergence sensitivity, convergence time and convergence time.
In this embodiment, preferably, in order to detect the turning of the turning mirror, the detection module includes a displacement sensor provided on the turning mirror for detecting the turning of the turning mirror.
In this embodiment, for convenience in installation and detection, the displacement sensor is an encoder, and a rotating shaft of the encoder is connected with a servo motor, and a specific connection structure is the same as a connection structure of the existing encoder and the motor. The signal output end of the encoder is connected with the processor through a matched signal interface circuit. When the servo motor rotates, the encoder is triggered to generate a pulse signal, and the pulse signal generated by the encoder can be transmitted to the processor as a switching signal.
As shown in fig. 4, the data processing method of the binocular vergence sensitivity detection device includes:
step 1, determining the stimulus category corresponding to the current stimulus device and timing;
step 2, detecting whether the stimulation device switches the stimulation type, and recording time data during switching when detecting that the stimulation device switches the stimulation type;
cycling until the detection is finished;
and step 3, determining convergence sensitivity, convergence time and convergence time of the two eyes according to all recorded time data.
Specifically, as shown in fig. 5, after the detection starts, the processor of the detection system first initializes the system, and then starts timing through the timing module, and determines the stimulus category corresponding to the current stimulus device. And then, judging whether a switching signal sent by the encoder is acquired or not, if not, continuing to count time by the processor through the timing module, and continuing to judge. If the processor acquires the switching signal, the processor determines the switching time according to the time recorded by the timing module and generates time data in combination with the stimulation type, then the processor sends the generated time data to the memory, and the timing module starts timing and determines the stimulation type corresponding to the stimulation device. And finally, the processor retrieves all time data from the memory, and calculates the convergence sensitivity, convergence time and convergence time according to the retrieved time data.
In this embodiment, preferably, the determining and timing the stimulus category corresponding to the current stimulus device includes: determining the stimulus category corresponding to the stimulus device at the beginning of detection, and determining the stimulus category corresponding to the stimulus device after each overturn in the detection process.
When the detection starts, the detection system can determine the stimulus type corresponding to the stimulus device when the detection starts according to pre-stored stimulus type information, the stimulus type information can be directly set in the memory manually, or after each detection, the processor can generate and store the stimulus type information in the memory according to the stimulus type in the last recorded time data.
After determining the stimulus category corresponding to the detection start turning mirror, the detection system can generate time data of the turning mirror at the initial time and store the time data in a memory. And the corresponding stimulation type of the turning mirror after each turning can be determined according to the stimulation type of the time data which is recorded by the memory. In order to facilitate determination of the latest recorded time data, the memory sequentially stores the time data according to the generation time of the data.
In this embodiment, the detection system calculates the vergence sensitivity based on the determined vergence time and vergence time. The vergence sensitivity refers to the vergence period number completed in unit time, the vergence period comprises convergence and vergence of the eye, the total duration required by one vergence period can be calculated through convergence time for converting the eye with a vergence state into a gathering state and vergence time for converting the eye with the gathering state into the vergence state, and the vergence sensitivity can be calculated.
In this embodiment, preferably, as shown in fig. 6, the detection system determines the convergence time and the convergence time by using the following method:
step 2-1, classifying all recorded time data according to the stimulus category to obtain a convergence data set and a dispersion data set which respectively correspond to convergence stimulus and dispersion stimulus;
step 2-2, adopting a dispersion analysis algorithm to process the convergence data set and the dispersion data set, and removing error data;
and 2-3, calculating convergence time and dispersion time according to the processed convergence data set and the dispersion data set.
In order to improve the accuracy of data and accurately evaluate the convergence and dispersion balance conditions of the two eyes, the embodiment adopts a big data analysis method to calculate convergence time and dispersion time. Specifically:
first, after retrieving the time data from the memory, the processor classifies each item of time data into a collection data set and a dispersion data set according to the stimulation category in the time data.
And then, respectively counting the total data quantity and the total switching time of the time data in the convergence data set and the dispersion data set, respectively calculating the average time required by the eyes from the dispersion state to the aggregation state and the average time required by the eyes from the aggregation state to the dispersion state in the whole detection process according to the total switching time and the total data quantity corresponding to the convergence data set and the dispersion data set, respectively eliminating the time data with high deviation degree in the convergence data set and the dispersion data set according to the average time required by the eyes from the aggregation state to the dispersion state, and generating the processed convergence data set and the dispersion data set according to the residual time data.
Finally, a convergence time average and a dispersion time average are calculated based on the processed convergence data set and the dispersion data set, thereby determining the convergence time average and the dispersion time average.
Finally, it should be noted that the above description is only a preferred embodiment of the present invention, and that many similar changes can be made by those skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (9)

1. A binocular vergence sensitivity detection device, characterized by comprising:
the stimulation device is used for alternately carrying out convergence stimulation and dispersion stimulation on the two eyes and respectively inducing the two eyes to enter a collection state and a dispersion state;
the detection system is used for detecting the stimulation type switched by the stimulation device and recording time data of each switching time of the stimulation device, wherein the time data comprises the stimulation type corresponding to the stimulation device before switching and time required by the transition of the eyes to the corresponding state under the stimulation of the stimulation type, and the detection system determines the convergence and dispersion sensitivity, the dispersion time and the convergence time of the eyes according to all the recorded time data;
the vergence sensitivity refers to the vergence period number of the two eyes in one minute, the vergence period refers to the total time length required by one vergence period calculated when the two eyes transition from the aggregation state to the dispersion state and then from the dispersion state to the aggregation state, and the vergence sensitivity can be calculated by calculating the total time length required by one vergence period when the eyes transition from the dispersion state to the aggregation state and the vergence time when the eyes transition from the aggregation state to the dispersion state.
2. The binocular vergence sensitivity detection apparatus of claim 1, characterized in that: the stimulation device comprises a turnover mirror, wherein the turnover mirror is provided with a Bo triple prism group, a Bi triple prism group, a turnover mirror frame and a driving device, the Bo triple prism group and the Bi triple prism group are arranged on the turnover mirror frame, the turnover mirror frame is connected with the driving device, and the driving device drives the turnover mirror frame to turn over so as to switch stimulation types.
3. The binocular vergence sensitivity detection apparatus of claim 2, wherein the driving apparatus includes a servo motor, a driver and a key switch, a driving shaft of the servo motor is connected with the tilting frame via a transmission mechanism;
the key switch is used for sending a turnover signal to the driver when being pressed;
and the driver is used for controlling the servo motor to drive the overturning frame to overturn after receiving the overturning signal.
4. The binocular vergence sensitivity detection apparatus of claim 2, wherein the detection system includes:
the detection module is used for detecting that the stimulation device switches stimulation types and outputting a switching signal;
the processing module is used for recording the time data according to the time for acquiring the switching signal and determining the convergence and dispersion sensitivity, the dispersing time and the convergence time of the eyes according to all the time data recorded in the whole detection process;
the total time length required by one convergence period can be calculated by the convergence time for the eye to be converted from the convergence state to the convergence state and the convergence time for the eye to be converted from the convergence state to the convergence state, so that the convergence sensitivity can be calculated.
5. The binocular vergence sensitivity detection apparatus of claim 4, characterized in that the detection module includes a displacement sensor for detecting the turning of the turning mirror.
6. A data processing method of a binocular vergence sensitivity detection apparatus, characterized in that the detection apparatus includes a detection system, the data processing method configured by the detection system comprising:
determining the stimulation type corresponding to the current stimulation device and timing;
detecting whether the stimulation device switches the stimulation category, and when the stimulation device is detected to switch the stimulation category, recording time data during switching, wherein the time data comprises the stimulation category corresponding to the stimulation device before switching and the time required for the eyes to transition to the corresponding state under the stimulation of the stimulation category;
cycling until the detection is finished;
determining convergence sensitivity, convergence time and convergence time of the eyes according to all recorded time data;
the vergence sensitivity refers to the vergence period number of the two eyes in one minute, the vergence period refers to the total time length required by one vergence period when the two eyes transition from the aggregation state to the dispersion state and then from the dispersion state to the aggregation state, and the vergence sensitivity can be calculated by the convergence time used when the eyes transition from the dispersion state to the aggregation state and the dispersion time used when the eyes transition from the aggregation state to the dispersion state.
7. The method for processing data of a binocular vergence sensitivity detection apparatus according to claim 1, wherein the determining and timing a stimulus category corresponding to a current stimulus apparatus includes: and determining the stimulus category corresponding to the stimulus device at the beginning of detection, and determining the stimulus category corresponding to the stimulus device after each switching in the detection process.
8. The data processing method of the binocular vergence sensitivity detection apparatus of claim 7, characterized in that: the detection system determines the stimulation type corresponding to the stimulation device at the beginning of detection according to pre-stored stimulation type information, and determines the stimulation type corresponding to the stimulation device after switching according to the stimulation type in the latest recorded time data in the detection process.
9. The method for processing data of a binocular vergence sensitivity detection apparatus of claim 6, characterized in that said detection system determines convergence time and vergence time by:
classifying all recorded time data according to the stimulus category to obtain a convergence data set and a dispersion data set which respectively correspond to the convergence stimulus and the dispersion stimulus;
processing the convergence data set and the dispersion data set by adopting a dispersion analysis algorithm to remove error data;
the convergence time and the convergence time are calculated according to the processed convergence data set and the convergence data set.
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