CN106618580B - Strabismus and nystagmus head position detection method, device and system - Google Patents

Strabismus and nystagmus head position detection method, device and system Download PDF

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CN106618580B
CN106618580B CN201611203009.8A CN201611203009A CN106618580B CN 106618580 B CN106618580 B CN 106618580B CN 201611203009 A CN201611203009 A CN 201611203009A CN 106618580 B CN106618580 B CN 106618580B
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head position
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CN106618580A (en
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曹奕雯
李晓清
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Peking University First Hospital
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Beijing Funinbook Technology Co ltd
Peking University First Hospital
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    • AHUMAN NECESSITIES
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00Apparatus for testing the eyes; Instruments for examining the eyes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
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    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
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Abstract

The invention discloses a method, a device and a system for detecting head positions of strabismus and nystagmus, which relate to the field of medical instruments, and the method comprises the following steps: acquiring a head video image of a subject, which is acquired by a smart camera mounted in front of the subject, during the period that a doctor guides to bet a sighting target; determining whether the subject's head is in a standard position by analyzing the head video image; when the head of the subject is determined to be in the standard position, taking the head position data of the head of the subject, which is acquired by a head position detector worn on the head of the subject, when the head of the subject is in the standard position as standard head position data; acquiring habitual head position data, collected by the head position detector, of the head of the subject when the head of the subject is in a habitual position from the head position detector; and determining the head position deviation data of the subject according to the standard head position data and the habitual head position data. The embodiment of the invention can improve the accuracy of head position detection.

Description

Strabismus and nystagmus head position detection method, device and system
Technical Field
The invention relates to the field of ophthalmic medical equipment, in particular to a method, a device and a system for detecting head positions of strabismus and nystagmus.
Background
Clinically, the current common qualitative examination means for head position detection of strabismus and nystagmus is visual observation, and only the approximate head position can be known by the method, but the angle value cannot be accurately obtained. A common quantitative inspection means is a graduated scale measurement method, i.e. an angle graduated scale is used to measure the position of the head in three axial directions. The method is inconvenient to check, and the checking result is greatly influenced by human factors.
The prior art provides some head position detection devices. For example, a head-mounted device for detecting a vertical head rotation angle and a horizontal head rotation angle, in which the weight of the device affects the head position of a wearer in a natural state of the head, a large error is present in measurement, and the device does not have a function of checking a face rotation angle (i.e., a face rotation angle). For another example, a head compensation head position measuring instrument, the weight of which also affects the head position of the wearer in the natural state of the head, causes inaccurate measurement values, and the reading of the values is inconvenient and greatly varies. For another example, an automatic compensation head position measuring device is inconvenient to wear and measure, bulky in equipment, and has a large influence on the natural head position, resulting in inaccurate measured values. Further, none of the above devices correct for zero, i.e. no measurement reference is determined, and therefore the measurement of the head position is not accurate and difficult to apply clinically.
Disclosure of Invention
According to the method, the device and the system for detecting the head position of the strabismus and nystagmus provided by the embodiment of the invention, the problem of inaccurate head position measurement is solved.
According to the embodiment of the invention, the method for detecting the head position of strabismus and nystagmus comprises the following steps:
acquiring a head video image of a subject, which is acquired by a smart camera mounted in front of the subject, during the period that a doctor guides to bet a sighting target;
determining whether the subject's head is in a standard position by analyzing the head video image;
when the head of the subject is determined to be in the standard position, taking the head position data of the head of the subject, which is acquired by a head position detector worn on the head of the subject, when the head of the subject is in the standard position as standard head position data;
acquiring habitual head position data, collected by the head position detector, of the head of the subject when the head of the subject is in a habitual position from the head position detector;
and determining the head position deviation data of the subject according to the standard head position data and the habitual head position data.
Preferably, said determining whether the head of the subject is in a standard position by analyzing the head video image comprises:
determining facial feature points, eye feature points, nose feature points and ear feature points of the head video image of the subject by carrying out face recognition on the head video image;
determining whether the face of the subject deflects left and right, whether the head tilts left and right, and whether the lower jaw is lifted or retracted according to the feature points of the five sense organs of the video image of the head of the subject;
determining that the head of the subject is in a standard position if the face of the subject is determined not to deflect left and right, the head is determined not to tilt left and right, and the jaw is determined not to lift or retract. .
Preferably, the acquiring, from the head position detector, the habitual head position data of the subject, acquired by the head position detector, when the head of the subject is in the habitual position includes:
acquiring a group of habitual head position data of the head of the subject when the head of the subject is in a habitual position from the head position detector, calculating the mean square error of the group of habitual head position data, and taking the group of habitual head position data as effective data if the mean square error is smaller than a preset threshold;
and repeating the steps to obtain a plurality of groups of effective data, and calculating the average value of the plurality of groups of effective data to be used as the habitual head position data of the subject.
Preferably, the standard head position data includes a shoulder inclination angle, a mandible angle and a facial rotation angle of the head of the subject at a standard position, the habitual head position data includes a shoulder inclination angle, a mandible angle and a facial rotation angle of the head of the subject at a habitual position, and the determining the head position deviation data of the subject according to the standard head position data and the habitual head position data includes:
and subtracting the shoulder inclination angle, the mandible angle and the face rotation angle of the head of the testee at the standard position from the shoulder inclination angle, the mandible angle and the face rotation angle of the head of the testee at the habitual position respectively to obtain head position deviation data of the testee.
According to an embodiment of the present invention, there is provided a storage medium storing a program for implementing the strabismus and nystagmus head position detection method.
According to another embodiment of the present invention, a method for detecting squint and nystagmus head position comprises:
acquiring a head video image of a subject during the period of the subject who is guided to bet a sighting target by a doctor by using an intelligent camera arranged in front of the subject;
determining whether the subject's head is in a standard position by analyzing the head video image;
if the head of the subject is determined to be at the standard position, taking the head position data of the head of the subject, which is acquired by a head position detector worn on the head of the subject, when the head of the subject is at the standard position as standard head position data;
acquiring habitual head position data of the head of the subject when the head of the subject is in a habitual position by using the head position detector;
and determining the head position deviation data of the subject according to the standard head position data and the habitual head position data.
According to an embodiment of the present invention, a head position detection device for strabismus and nystagmus comprises:
the image acquisition module is used for acquiring a head video image of the subject acquired by the intelligent camera during the period that the doctor guides to bet the sighting target from the intelligent camera arranged in front of the subject;
an image processing module for determining whether the subject's head is in a standard position by analyzing the head video image;
and the data processing module is used for taking the head position data of the head of the subject, which is acquired by a head position detector worn on the head of the subject, when the head of the subject is determined to be at the standard position as standard head position data, then acquiring the habitual head position data of the head of the subject, which is acquired by the head position detector and is at the habitual position, and determining the head position deviation data of the subject according to the standard head position data and the habitual head position data.
Preferably, the image processing module determines five sense organ feature points including facial feature points, eye feature points, nose feature points and ear feature points of the video image of the head of the subject by performing face recognition on the video image of the head of the subject, determines whether the face of the subject deflects left and right, whether the head tilts left and right, whether the lower jaw is lifted or recovered according to the five sense organ feature points of the video image of the head of the subject, and determines that the head of the subject is in a standard position if the face of the subject is determined not to deflect left and right, the head is determined not to tilt left and right, and the lower jaw is determined not to lift or recover.
Preferably, the data processing module obtains a group of habitual head position data of the subject when the head of the subject is in the habitual position from the head position detector, calculates a mean square error of the group of habitual head position data, if the mean square error is smaller than a preset threshold, uses the group of habitual head position data as effective data, repeats the above steps to obtain a plurality of groups of effective data, and calculates an average value of the plurality of groups of effective data as the habitual head position data.
Preferably, the standard head position data includes a shoulder inclination angle, a mandible angle and a facial rotation angle when the head of the subject is at a standard position, the habitual head position data includes a shoulder inclination angle, a mandible angle and a facial rotation angle when the head of the subject is at a habitual position, and the data processing module subtracts the shoulder inclination angle, the mandible angle and the facial rotation angle when the head of the subject is at the standard position from the shoulder inclination angle, the mandible angle and the facial rotation angle when the head of the subject is at the habitual position respectively to obtain head position deviation data of the subject.
According to an embodiment of the present invention, a system for detecting squint and nystagmus head position comprises:
the intelligent camera is erected in front of a subject and is used for acquiring head video images of the subject during the period that a doctor guides to bet a sighting target;
a head position detector worn on the head of the subject and used for acquiring head position data of the subject;
the head position detection device is used for analyzing the head video image to determine whether the head of the subject is at a standard position, if the head of the subject is determined to be at the standard position, the head position data acquired by the head position detector when the head of the subject is at the standard position is used as standard head position data, then the head position data acquired by the head position detector when the head of the subject is at a habitual position is acquired, and the head position deviation data of the subject is determined according to the standard head position data and the habitual head position data.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the embodiment of the invention can improve the accuracy of head position detection, and is suitable for clinically checking the head position of patients with strabismus and nystagmus.
Drawings
FIG. 1 is a flowchart of a method for detecting squint and nystagmus head positions according to an embodiment of the present invention;
FIG. 2 is a block diagram of an apparatus for detecting squint and nystagmus head positions according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for detecting strabismus and nystagmus head positions according to another embodiment of the present invention;
FIG. 4 is a block diagram of a system for detecting squint and nystagmus head positions according to an embodiment of the present invention;
FIG. 5 is a block diagram of an embodiment of the system for detecting squint and nystagmus head positions according to the present invention;
FIG. 6 is a flow chart of an implementation of the strabismus and nystagmus head position detection process of the system of FIG. 5.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and it should be understood that the preferred embodiments described below are only for the purpose of illustrating and explaining the present invention, and are not to be construed as limiting the present invention.
Fig. 1 is a flowchart of a method for detecting squint and nystagmus head positions according to an embodiment of the present invention, as shown in fig. 1, the steps include:
step S101: from a smart camera mounted in front of a subject, a head video image of the subject captured by the smart camera during a period when a physician directs to bet a sighting mark is acquired.
Step S102: determining whether the subject's head is in a standard position by analyzing the head video image.
Step S102 includes: the method comprises the steps of carrying out face recognition on a head video image of a subject, determining five sense organ feature points including face feature points, eye feature points, nose feature points and ear feature points of the head video image of the subject, determining whether the face of the subject deflects left and right, whether the head tilts left and right and whether the lower jaw is lifted or recovered according to the five sense organ feature points of the head video image of the subject, and determining that the head of the subject is in a standard position if the face of the subject does not deflect left and right, the head does not tilt left and right, and the lower jaw does not lift or recover.
And determining whether the face of the subject is symmetrical left and right according to the facial feature points, and if so, indicating that the face is not deflected left and right.
Determining a binocular line by using eye characteristic points of the head video image of the subject, and determining a nasal bone line by using nose characteristic points of the head video image of the subject; and then, establishing a coordinate system by taking the binocular connecting line and the nasal bone line as coordinate axes, comparing the established coordinate system with a preset coordinate system, and determining that the head of the subject is not inclined left and right if the corresponding coordinate axes of the two coordinate systems are parallel or even coincident, for example, the binocular connecting line is parallel or coincident with the X axis of the preset coordinate system.
Wherein, the position relationship between the binaural feature point and the binocular connecting line is used to determine whether the mandible of the subject is lifted or recovered, a reference range can be generally set, and if the binaural feature point is in the reference range, the mandible of the subject is considered not to be lifted or recovered.
Step S103: when the head of the subject is determined to be in the standard position, the head position data of the head of the subject, which is acquired by a head position detector worn on the head of the subject, when the head of the subject is in the standard position is used as standard head position data.
Step S104: and acquiring habitual head position data, acquired by the head position detector, of the head of the subject when the head of the subject is in a habitual position from the head position detector.
Step S104 includes: acquiring a group of habitual head position data of the head of the subject when the head of the subject is in a habitual position from the head position detector, calculating the mean square error of the group of habitual head position data, and taking the group of habitual head position data as effective data if the mean square error is smaller than a preset threshold; and repeating the steps to obtain a plurality of groups of effective data, and calculating the average value of the plurality of groups of effective data to be used as the habitual head position data of the subject.
It should be noted that a head data compensation table may be further set according to the empirical data, that is, the habitual head data is compensated according to the head data compensation table, so as to obtain the compensated habitual head data, which is used for calculating the head deviation in step S105.
Step S105: and determining the head position deviation data of the subject according to the standard head position data and the habitual head position data.
Wherein the standard head data comprises a shoulder inclination angle, a mandible angle and a face rotation angle when the head of the subject is at a standard position; the habitual head position data includes a shoulder inclination angle, a mandible angle and a face rotation angle when the head of the subject is in the habitual position.
Step S105 includes: and subtracting the shoulder inclination angle, the mandible angle and the face rotation angle of the head of the testee at the standard position from the shoulder inclination angle, the mandible angle and the face rotation angle of the head of the testee at the habitual position respectively to obtain head position deviation data of the testee.
It will be understood by those skilled in the art that all or part of the steps in the method according to the above embodiments may be implemented by a program, which may be stored in a computer-readable storage medium, and includes steps S101 to S105 when the program is executed. The storage medium may be ROM/RAM, magnetic disk, optical disk, etc.
Fig. 2 is a block diagram of an apparatus for detecting a facial position of strabismus and nystagmus according to an embodiment of the present invention, as shown in fig. 2, including:
the image acquisition module 11 is used for acquiring a head video image of the subject acquired by the intelligent camera during the period that the doctor guides to bet the sighting target from the intelligent camera arranged in front of the subject.
An image processing module 12, configured to determine whether the head of the subject is in a standard position by analyzing the head video image. Specifically, the image processing module 12 determines five sense organ feature points including facial feature points, eye feature points, nose feature points and ear feature points of the video image of the head of the subject by performing face recognition on the video image of the head of the subject, determines whether the face of the subject is deflected left and right, the head is tilted left and right, and the lower jaw is lifted or retracted according to the five sense organ feature points of the video image of the head of the subject, and determines that the head of the subject is in a standard position if the face of the subject is not deflected left and right, the head is not tilted left and right, and the lower jaw is not lifted or retracted.
A data processing module 13, configured to, when it is determined that the head of the subject is at the standard position, use the head position data, acquired by a head position detector worn on the head of the subject, of the head of the subject at the standard position as standard head position data, then obtain, from the head position detector, habitual head position data, acquired by the head position detector, of the head of the subject at the habitual position, and determine head position deviation data of the subject according to the standard head position data and the habitual head position data. The data processing module 13 obtains a group of habitual head position data of the subject when the head of the subject is in the habitual position from the head position detector, calculates a mean square error of the group of habitual head position data, and if the mean square error is smaller than a preset threshold, uses the group of habitual head position data as effective data, repeats the above steps to obtain a plurality of groups of effective data, and calculates an average value of the plurality of groups of effective data as the habitual head position data. The standard head position data comprises a shoulder inclination angle, a mandible angle and a face rotation angle when the head of the testee is at a standard position, the habitual head position data comprises the shoulder inclination angle, the mandible angle and the face rotation angle when the head of the testee is at a habitual position, and the data processing module 13 subtracts the shoulder inclination angle, the mandible angle and the face rotation angle when the head of the testee is at the standard position from the shoulder inclination angle, the mandible angle and the face rotation angle when the head of the testee is at the habitual position respectively to obtain head position deviation data of the testee.
Fig. 3 is a flowchart of a method for detecting squint and nystagmus head positions according to another embodiment of the present invention, as shown in fig. 3, the method includes the steps of:
step S201: video images of the head of the subject, including images of the head of the subject in various positions, are acquired during the period when the physician directs to bet the sighting target by using a smart camera mounted in front of the subject.
Step S202: and analyzing the head video image to determine whether the head of the subject is in a standard position, specifically, determining that the head of the subject is in the standard position when the face of the subject is not deflected left and right, the head is not inclined left and right, and the lower jaw is not lifted or recovered by using facial feature points, eye feature points, nose feature points and ear feature points obtained by face recognition of the head video image.
Step S203: and if the head of the subject is determined to be at the standard position, taking the head position data of the head of the subject, which is acquired by a head position detector worn on the head of the subject, when the head of the subject is at the standard position as standard head position data.
Step S204: and acquiring habitual head position data of the head of the subject when the head of the subject is in the habitual position by using the head position detector.
In order to obtain stable habitual head position data, a group of habitual head position data of the subject in the habitual position can be obtained from the head position detector, the mean square error of the group of habitual head position data is calculated, and if the mean square error is smaller than a preset threshold value, the group of habitual head position data is used as effective data; and repeating the steps to obtain a plurality of groups of effective data, and calculating the average value of the plurality of groups of effective data to be used as the habitual head position data of the subject.
Further, a head data compensation table may be set, that is, the habitual head data is compensated according to the head data compensation table to obtain compensated habitual head data, which is used for calculating the head deviation in step S105 to improve data reliability.
Step S205: and determining the head position deviation data of the subject according to the standard head position data and the habitual head position data.
That is, the examinee visually observes the optotype right in front, collects the standard head position data when the head position is "right" and the normal head position data when the head position is natural by the head position detector, and calculates the head position deviation of the two head positions.
Fig. 4 is a block diagram of a system for detecting squint and nystagmus head position according to an embodiment of the present invention, as shown in fig. 4, including:
the intelligent camera 20 is erected in front of the subject, specifically located 2-3 meters in front of the subject, and is configured to acquire a head video image of the subject during the period when the physician guides to bet the visual target, for example, during the period when the subject watches the visual target by swinging the head up, down, left, and right under the guidance of the physician, the camera module of the intelligent camera acquires the head video image of the subject, and the acquired head video image is wirelessly transmitted to the head position detection device 10 in real time through the wireless communication module of the intelligent camera.
The head position detector 30 is worn on the head of the subject, particularly on the forehead of the head of the subject, and is used for acquiring head position data of the subject. Specifically, the head position detecting device 30 processes the data collected by the angle sensor to obtain head position data when the head of the subject reaches different positions during the period of swinging the head, and wirelessly transmits the head position data to the head position detecting device 10 in real time through the wireless communication module.
The head position detection device 10 is disposed at any position capable of wirelessly communicating with the head position detector 30 and the smart camera 20, and configured to analyze the head video image to determine whether the head of the subject is at a standard position, and if it is determined that the head of the subject is at the standard position, take the head position data acquired by the head position detector when the head of the subject is at the standard position as standard head position data, then acquire the head position data acquired by the head position detector when the head of the subject is at a habitual position, and determine the head position deviation data of the subject according to the standard head position data and the habitual head position data. The head position detecting device 10 includes an image acquisition module 11, an image processing module 12 and a data processing module 13 of fig. 2, and can implement the corresponding functions described in fig. 2. That is, the head position detecting device 20 is in wireless communication with the smart camera 20 and the head position detecting device 30, respectively, to acquire the video image of the head of the subject and the corresponding head position data, identifying a video image of the head of a subject, determining feature points of five sense organs including facial feature points, eye feature points, nose feature points and ear feature points, determining whether the face of the subject deflects left and right, whether the head tilts left and right, and whether the lower jaw is lifted or recovered according to the feature points of the five sense organs of the video image of the head of the subject, if determining that the face of the subject does not deflect left and right, the head does not tilt left and right, and the lower jaw is not lifted or recovered, determining that the head of the subject is at the standard position, taking the corresponding head data obtained from the head position detector as the standard head data, and finally determining the deviation between the head data when the head of the subject is at the habitual position and the standard by taking the standard head data as the standard.
The system may be accompanied by a physical rectification device for determining the accuracy of the sensors in the head position detector, which may be a conventional bubble level and angle gauge, or other rectification device. After the system is used for a long time, the physical correction instrument can be used for determining the measurement accuracy of the head position detector, for example, if the data collected by the head position detector is different from the reference data of the level, the measurement of a sensor in the head position detector is inaccurate, and the head position detector needs to be replaced in time.
The detection step of the system comprises:
step 1: the doctor guides the subject to watch the sighting mark, so that the head of the subject swings up and down and left and right. The subject's head approaches and reaches the "positive" position (i.e., the standard position).
Step 2: the head position detector 30 collects the head position of the subject during the head swing period of the subject, specifically including the shoulder inclination angle, the mandible angle and the face rotation angle, and sends the head position to the head position detection device 10, and meanwhile, the intelligent camera 20 collects the head video image of the subject during the head swing period of the subject and sends the head video image to the head position detection device 10.
And step 3: the head position detection device 10 performs image recognition to obtain feature points of the five sense organs, and determines that the head of the subject is at the standard position according to the feature points of the five sense organs, and uses the corresponding shoulder inclination angle, jaw angle and face rotation angle as standard head position data when the head of the subject is right.
The above steps 1 to 3 are steps of determining a measurement reference.
And 4, step 4: the head of the subject is in a natural state, namely a habitual state.
And 5: when the head of the examinee is in the habitual state, the head position detector 30 acquires the shoulder inclination angle, the mandible angle and the face rotation angle of the head of the examinee in the habitual position, and transmits the shoulder inclination angle, the mandible angle and the face rotation angle to the head position detection device 10.
Step 6: the head position detection device 10 compares the shoulder inclination angle, the mandible angle and the face rotation angle in the step 5 with the standard shoulder inclination angle, the mandible angle and the face rotation angle respectively to obtain relative head position data.
The above-mentioned steps 5 to 6 are measurement steps.
Fig. 5 is an architecture diagram of a strabismus and nystagmus head position detection system provided by an embodiment of the present invention, and currently, when a strabismus and nystagmus patient is in clinical examination, a traditional observation method and an estimation method are usually adopted to calculate and determine the position of the head and the nystagmus frequency of an eyeball of the patient, which is more empirical and requires more experience level of a physician, and a larger error exists in measurement, as shown in fig. 5, the strabismus and nystagmus head position detection system provided by the embodiment of the present invention provides a powerful guarantee for the precise medical treatment of the physician by wearing a miniaturized measurement device (i.e., a head position detector) on the patient and recording and evaluating the head position angle and the nystagmus frequency of the patient on a management software (i.e., a computer management system, which realizes the function of the head position detection device) through the internet of things technology.
Fig. 6 is a flowchart illustrating an implementation of the process of head position detection for strabismus and nystagmus of the system shown in fig. 5, and as shown in fig. 6, the present invention is a head position detection system for strabismus and nystagmus of a patient, which integrates a head position detector, a computer management system and a video identification system (i.e., a video camera). The strabismus and nystagmus head position detection system comprises three parts of head position detection of a patient, zero calibration of the head position of the patient (namely, a head 'positive' position or a standard position), and system acquisition and processing. In the detection process, a head position detection module (namely a head position detector) is firstly installed or worn for a patient, video camera equipment (namely a video camera) is erected at a distance of 2-3 meters from the patient, the patient is relaxed, and the vision examination process is completed, so that detection data are transmitted to computer management software through the head equipment and the video equipment, and data processing and information recording are carried out through the management software.
The head detector is a small and portable device, is mounted on the forehead of the head of a patient and is tightly attached to the forehead of the patient, the head detector measures the head position of the patient through a position sensor (such as a multi-axis angle sensor), multi-angle data measured by the position sensor calculates the degrees of a shoulder inclination angle, a mandibular angle and a face rotation angle of the head position of the patient in a quaternion fitting mode, and the angle data is wirelessly transmitted to a computer management system through a Zigbee technology. In the measurement process of the head position detector, the position of the starting point of the head position of the patient (namely the head 'positive' position or the standard position) needs to be determined, the zero point determination of the head position is realized by an intelligent camera, after the patient wears the head position detector, a doctor guides a subject to watch by using a visual target, and guides the subject to get the habit of the head position, in the process, the intelligent camera calculates the head position information of the patient, and the algorithm is approximately: the head of a patient is approximated to be a circular rigid body, and through a video recognition technology, if the absolute position of a coordinate system formed by a double-eye line and a nasal bone line is judged to be matched with the preset zero position of an intelligent camera, the face is bilaterally symmetrical, the position of a double-eye feature and the position of a double-eye connecting line are in a reference range, the completion of the zero calibration work of the head position is determined, and the head position angle data at the moment is recorded. After the system finishes the work of checking zero, the relative head angle data of the patient is measured, the measured head angle data can be uploaded to a computer management system at the frequency of 20HZ, the computer management software receives the measured data and establishes the personal detection record of the patient, when the head position is detected to tend to be stable, the detection data is recorded and stored in the management system, and the algorithm is approximate: receiving 10 seconds of head information data, about 200 data, and calculating a numerical value through a filtering algorithm, and recording effective data when the mean square error of the numerical value is less than 0.1. Repeating the steps for 2 to 3 times, calculating an average value, and finally accurately measuring the head position data of the patient through the strabismus and nystagmus detector. The obtained head position data is compared with the head position data recorded when the head position is zero, so that relative head position data is obtained, namely, the relative head position data is head position angle data of the head position in the habitual state of the patient relative to the standard head position by taking the standard head position as a reference.
In summary, the embodiments of the present invention have the following technical effects:
the embodiment of the invention has little influence on the natural head position of the testee, can improve the data accuracy and shorten the detection time.
Although the present invention has been described in detail hereinabove, the present invention is not limited thereto, and various modifications can be made by those skilled in the art in light of the principle of the present invention. Thus, modifications made in accordance with the principles of the present invention should be understood to fall within the scope of the present invention.

Claims (8)

1. An apparatus for detecting the head position of strabismus and nystagmus, comprising:
the image acquisition module is used for acquiring a head video image of the subject acquired by the intelligent camera during the period that the doctor guides to bet the sighting target from the intelligent camera arranged in front of the subject;
the image processing module is connected with the image acquisition module and is used for analyzing the head video image of the subject obtained by the image acquisition module during the period that the doctor guides to bet the sighting target so as to determine whether the head of the subject is in a standard position;
the data processing module is connected with the image processing module and is used for taking the head position data of the head of the subject in the standard position acquired by the head position detector worn on the head of the subject as standard head position data when the head of the subject is determined to be in the standard position by analyzing the head video image of the subject during the period that the doctor guides to bet the sighting target; and determining the head position deviation data of the testee according to the standard head position data and the habitual head position data of the testee when the head of the testee is in the habitual position, which is acquired by the head position detector.
2. The apparatus according to claim 1, wherein the image processing module determines five sense organ feature points including facial feature points, eye feature points, nose feature points and ear feature points of the video image of the head of the subject by performing face recognition on the video image of the head, determines whether the face of the subject is deflected left and right, whether the head is tilted left and right and whether the lower jaw is lifted or retracted according to the five sense organ feature points of the video image of the head of the subject, and determines that the head of the subject is in a standard position if the face of the subject is not deflected left and right, the head is not tilted left and right and the lower jaw is not lifted or retracted.
3. The apparatus according to claim 1, wherein the data processing module obtains a set of habitual head position data of the subject when the head of the subject is in the habitual position from the head position detector, calculates a mean square error of the habitual head position data, and if the mean square error is smaller than a preset threshold, uses the habitual head position data as effective data, repeats the above steps to obtain a plurality of sets of effective data, and calculates an average value of the effective data as the habitual head position data.
4. The apparatus according to any one of claims 1-3, wherein the standard head position data comprises a shoulder inclination angle, a jaw angle and a facial rotation angle of the head of the subject when the head of the subject is at a standard position, the habitual head position data comprises a shoulder inclination angle, a jaw angle and a facial rotation angle of the head of the subject when the head of the subject is at a habitual position, and the data processing module subtracts the shoulder inclination angle, the jaw angle and the facial rotation angle of the head of the subject when the head of the subject is at a standard position from the shoulder inclination angle, the jaw angle and the facial rotation angle of the head of the subject when the head of the subject is at the habitual position to obtain head position deviation data of the subject.
5. A system for detecting squint and nystagmus head position, comprising:
the intelligent camera is erected in front of a subject and is used for acquiring head video images of the subject during the period that a doctor guides to bet a sighting target;
the head position detector is worn on the head of the subject and used for acquiring head position data of the subject and sending the acquired head position data to the data processing module;
the image acquisition module is used for acquiring a head video image of the subject acquired by the intelligent camera during the period that the doctor guides to bet the sighting target from the intelligent camera arranged in front of the subject;
the image processing module is connected with the image acquisition module and is used for determining whether the head of the subject is in a standard position or not by analyzing the head video image of the subject acquired by the image acquisition module during the period that the doctor guides to bet the visual target;
the data processing module is connected with the image processing module and is used for determining the head position data of the subject when the head of the subject is in the standard position, acquired by a head position detector worn on the head of the subject, as the standard head position data when the head of the subject is in the standard position by analyzing the head video images of the subject during the period that the doctor guides to bet the visual targets; and determining the head position deviation data of the testee according to the standard head position data and the habitual head position data of the testee when the head of the testee is in the habitual position, which is acquired by the head position detector.
6. The system of claim 5, wherein the image processing module determines the facial feature points, eye feature points, nose feature points and ear feature points of the video images of the head of the subject by performing face recognition on the video images of the head, determines whether the face of the subject is deflected left and right, whether the head is tilted left and right and whether the lower jaw is lifted or retracted according to the feature points of the five sense organs of the video images of the head of the subject, and determines that the head of the subject is in a standard position if the face of the subject is not deflected left and right, the head is not tilted left and right and the lower jaw is not lifted or retracted.
7. The system according to claim 5, wherein the data processing module obtains a set of habitual head position data of the subject when the head of the subject is in the habitual position from the head position detector, calculates a mean square error of the habitual head position data, and if the mean square error is smaller than a preset threshold, uses the habitual head position data as effective data, repeats the above steps to obtain a plurality of sets of effective data, and calculates an average value of the effective data as the habitual head position data.
8. The system according to any one of claims 5 to 7, wherein the standard head position data includes a shoulder inclination angle, a jaw angle and a face rotation angle when the head of the subject is at a standard position, the habitual head position data includes a shoulder inclination angle, a jaw angle and a face rotation angle when the head of the subject is at a habitual position, and the data processing module subtracts the shoulder inclination angle, the jaw angle and the face rotation angle when the head of the subject is at a standard position from the shoulder inclination angle, the jaw angle and the face rotation angle when the head of the subject is at a habitual position, respectively, to obtain head position deviation data of the subject.
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