Early screening system for parkinson's disease

Through the Parkinson's early screening system based on eye movement tracking technology, the comparative analysis of the motor scenario and processor module of eye movement tests is solved in the existing technology with low screening specificity and accuracy, and the screening effect with higher specificity and accuracy is achieved.

WO2025102462A1PCT designated stage expired Publication Date: 2025-05-22SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Patent Information

Application Number
PCT/CN2023/137648
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-11-14
Filing Date
2023-12-08
Publication Date
2025-05-22

AI Technical Summary

Technical Problem

The specificity and accuracy of existing early screening methods for Parkinson's disease are low, making it difficult to effectively distinguish Parkinson's disease from other diseases.

Method used

The Parkinson's early screening system based on eye movement tracking technology is adopted to provide the motion scenario of eye movement test through the movement module. The camera module records the eye movement status, and the processor module compares the differences between eye movement status and motor scenarios to screen for characteristic indicators of Parkinson's disease.

Benefits of technology

It improves the specificity and accuracy of early screening for Parkinson's disease, and can screen patients with Parkinson's disease more early and more accurately, and is suitable for early diagnosis and efficacy evaluation.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides an early screening system for Parkinson's disease, comprising: a movement module, configured to excite an eye movement of a subject; a near-infrared light source, configured to illuminate during eye movement testing; a camera module, configured to record an eye movement condition; and a processor module, configured to process and compare a movement difference between the eye movement condition and the movement module. The screening system for Parkinson's disease of the present invention uses an eye movement technique, records the eye movement excited by the movement module, compares the eye movement condition with the movement scenario to determine whether the movement difference meets a feature of Parkinson's disease, and can be used for screening and diagnosing said disease. A method has advantages of high specificity and high accuracy, and shows a specific index in an early stage of a disease.
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Description

An early screening system for Parkinson's disease Technical Field

[0001] The present invention belongs to the technical field of disease screening, and in particular relates to an early screening system for Parkinson's disease. Background Art

[0002] Existing treatments for Parkinson's disease only improve symptoms but cannot prevent the progression of the disease. Parkinson's disease is the second most common neurodegenerative disease in the elderly, characterized by motor symptoms such as tremors, muscle rigidity, bradykinesia, and postural imbalance. Existing treatments are designed to alleviate symptoms but cannot cure or even halt the course of the disease, and brain cells continue to die. As the disease worsens, patients gradually lose the ability to walk and develop other symptoms besides motor swallowing difficulties, paresthesias, and cognitive decline, placing a heavy burden on medical emergency and home care. The average survival time of Parkinson's patients after diagnosis is only 7-14 years.

[0003] Treatments for Parkinson's disease are urgently needed, but both new and established approaches face challenges. Existing methods are gradually losing efficacy, are prone to numerous side effects, and exhibit significant inter-patient variability. The primary drug, levodopa, typically loses efficacy after 3-5 years, and symptoms fluctuate, often with an "on-off" phenomenon and involuntary movements. Other medications, such as catechol-methyltransferase inhibitors, monoamine oxidase inhibitors, and dopamine agonists, are less effective and have significant side effects. Deep brain stimulation offers immediate and miraculous results, but individual variability is significant, with some patients failing or even experiencing new symptoms. Surgical transplantation and stem cell therapy also exhibit Parkinson's pathology and are ineffective. Furthermore, despite the constant emergence of new treatments and the significant investment in research and development, the success rate of clinical trials continues to decline. Pfizer, the world's largest pharmaceutical company, partnered with IBM and six major pharmaceutical companies to establish a Parkinson's disease development consortium, but announced its withdrawal from new Parkinson's drug development in 2018. This suggests that breakthroughs in treatment approaches are unlikely in the near term.

[0004] Parkinson's disease's neurodegenerative lesions progress slowly, and the body has a strong ability to compensate for these changes. Neuronal damage can progress for up to two decades before motor symptoms appear, and the disease rapidly worsens ten years after the onset of functional symptoms. Early preventive measures, such as exercise and nonsteroidal anti-inflammatory drugs, can reduce the incidence of Parkinson's disease to a certain extent. Therefore, the key to preventing and treating Parkinson's disease currently lies in early detection and treatment, slowing disease progression, and maintaining mild symptoms, allowing patients to maintain their ability to care for themselves.

[0005] There is no definitive method for early diagnosis of Parkinson's disease. Despite extensive research, the scientific community has repeatedly validated biochemical and imaging tests, including genetics, cerebrospinal fluid, blood, ultrasound, CT, and MRI, all of which have reported abnormalities. However, their correlation with Parkinson's disease is limited, with low sensitivity and specificity. Therefore, the International Parkinson's and Movement Disorder Society (MDS) considers these findings as risk markers for Parkinson's disease rather than diagnostic criteria.

[0006] Currently, Parkinson's disease diagnosis and staging are still primarily based on symptom presentation. Due to extensive involvement of brain regions outside the substantia nigra, various non-motor disorders such as olfactory loss, sleep disorders, and autonomic nervous system disorders can persist for several years. Therefore, MDS divides Parkinson's disease into an asymptomatic preclinical phase, a prodromal phase with non-motor symptoms, and a clinical phase with the onset of motor symptoms, based on symptom onset. These non-motor disorders are considered prodromal manifestations and have also been used in literature to predict Parkinson's disease. However, the age of onset of Parkinson's disease is primarily between 50 and 60 years old, and these manifestations are relatively common, with low specificity for Parkinson's disease. Therefore, more objective and accurate detection methods are needed.

[0007] Early screening and diagnosis of Parkinson's disease involves testing before core motor symptoms develop. Currently, these methods fall into two categories: physical tests such as biochemical and imaging tests, and non-motor symptoms such as olfactory impairment, sleep disorders, and autonomic nervous system dysfunction. Both methods have low specificity and are therefore not included in diagnostic criteria.

[0008] Eye movement is precise and fast, with a rich set of indicators, and different indicator systems have been formed in different research directions. It has been found that after the onset of Parkinson's disease, eye movement characteristics change, including increased latency of eye saccades, decreased gain of pursuit, decreased frequency and amplitude of gaze shifts, and reduced blinking. Technical issues

[0009] Existing Parkinson's eye movement experiments use indicators such as gaze, saccade, tracking, and blinking. These four movements are all consciously controlled, actively initiated, intermittent behaviors, and lack continuity. They all show reduced movement, which may be caused by diseases such as dementia in addition to Parkinson's. The saccade results may be caused by difficulties in initiating movements, or by reasons such as slowed nerve transmission. Therefore, the existing eye movement results have poor specificity for Parkinson's disease. Among the core symptoms of Parkinson's disease, bradykinesia and postural imbalance are more common in the elderly, tremor is a static tremor, and rigidity is manifested as rhythmic gear-like movement. The most unique manifestation of Parkinson's disease is delayed movement initiation, gradual acceleration, and inability to stop in time. The aforementioned eye movement results fail to reflect the unique indicators for distinguishing Parkinson's disease from other diseases.

[0010] Based on this, the present application provides an early screening system for Parkinson's disease, which uses some indicators of eye tracking technology as a method for Parkinson's screening, diagnosis and efficacy evaluation, and can screen early Parkinson's disease patients with strong specificity and high accuracy. Technical Solutions

[0011] The purpose of the present invention is to provide an early screening system for Parkinson's disease, so as to solve the technical problems of low specificity and low accuracy of Parkinson's disease screening in the prior art.

[0012] An early screening system for Parkinson's disease, comprising:

[0013] The motion module provides subjects with motion scenarios for eye movement testing to stimulate their eye movements;

[0014] A near-infrared light source, used for lighting the eye movement test process of the motion module;

[0015] A camera module is used to record and track the eye movements of the subject during the eye movement test using the motion module;

[0016] The processor module is used to process and compare the difference in movement status between the eye movement status recorded and tracked by the camera module and the movement scenario provided by the movement module.

[0017] In the present invention, the eye movement conditions include the frequency, amplitude, phase delay, and movement disorder of large swings.

[0018] Furthermore, the eye movement status is processed by subtracting the orbital movement data from the pupil movement data, which can eliminate the test deviation caused by head movement and improve the test accuracy.

[0019] In the present invention, the movement scenarios of the eye movement test include passive movement scenarios and active movement scenarios. The movement scenarios are distinguished based on whether the subject actively performs eye movements to perform the eye movement test or passively induces eye movements to perform the eye movement test during the test.

[0020] In some embodiments of the present invention, the motion module is a device that provides an active motion scenario to the subject; the motion module has a visual target for the subject's eyes to actively follow.

[0021] Furthermore, the visual target performs a swinging motion.

[0022] Furthermore, the oscillating motion includes one of sinusoidal oscillation, cosine oscillation, and sawtooth oscillation.

[0023] Furthermore, the oscillation frequency is 0.5 Hz-1 Hz.

[0024] Furthermore, the visual target is a physical target or a virtual target. When the visual target is a physical target, the corresponding device is a physical device provided with the physical target and having other structures connected to the visual target so as to cause the physical target to perform a swinging motion. When the visual target is a virtual target, the device is a display terminal, and the display terminal displays the visual target performing a swinging motion.

[0025] The present invention may be improved as follows: the visual target is a virtual target, the motion module is a display terminal, and the visual target is displayed on the display terminal.

[0026] Furthermore, the visual target performs a swinging motion on the display terminal.

[0027] Furthermore, the display terminal includes a mobile device, a computer, and a television.

[0028] In some embodiments of the present invention, the motion module is a mobile phone, the camera module is a camera included in the mobile phone, and the near-infrared light source is fixed on the mobile phone.

[0029] In some embodiments of the present invention, the visual target is a physical target, and the motion module is a physical device provided with the physical target and has other structures connected to the physical target.

[0030] In some embodiments of the present invention, the movement module is a device that provides a passive movement scenario to the subject.

[0031] In the present invention, the motion module has a structure for fixing the subject, so that the subject's body follows the device to make the same movement, and the eyeballs follow the device to move passively.

[0032] Furthermore, the device performs an oscillating motion or a rotating motion.

[0033] Furthermore, the oscillating motion includes one of sinusoidal oscillation, cosine oscillation, and sawtooth oscillation.

[0034] Furthermore, the oscillation frequency is 0.5 Hz-1 Hz.

[0035] Furthermore, the rotational motion is a rotation in one direction with a certain acceleration.

[0036] In some embodiments of the present invention, the motion module includes a rotating chair, a motor and a fixed shaft; the rotating chair is movably connected to the fixed shaft, and the motor is transmission-connected to the rotating chair, so that the rotating chair performs swinging motion or rotational motion around the fixed shaft.

[0037] A method for early screening of Parkinson's disease comprises the following steps: a subject performs an eye movement test through a motion scenario to obtain an eye movement condition; and processes and compares the eye movement condition and the difference in movement condition between the motion scenarios. Beneficial effects

[0038] The present invention has the following beneficial effects:

[0039] (1) The early screening system for Parkinson's disease of the present invention utilizes eye movement technology to perform eye movement tests through a motion module. The camera module obtains the eye movement status of the eyeball and compares it with the motion status between the motion scenarios provided by the motion module. The system then screens for Parkinson's disease in its early stages based on whether the difference between the two meets the characteristic indicators of Parkinson's disease. This method has strong specificity and high accuracy.

[0040] (2) The eye movement indicators of the method of the present invention are easy to quantify and can accurately judge the severity, progression and efficacy of Parkinson's disease. During the test, only the eyes are photographed or the body is rotated, which does not cause damage to the body and can be performed repeatedly.

[0041] (3) The visual target test of the present invention does not require gaze calibration before the test and has no special requirements for gaze accuracy. The test is convenient and fast, and is convenient for people to self-check. The neural reflex used in the rotation test is not affected by consciousness and can screen Parkinson's patients more accurately and earlier. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and specific implementation methods.

[0043] FIG1 is a schematic diagram of the overall structure of a system for early screening of Parkinson's disease according to an embodiment of the present invention;

[0044] FIG2 is a third embodiment of the present invention, an early screening system for Parkinson's disease;

[0045] Figure 3 shows characteristic indicators of Parkinson's disease using sinusoidal motion as an example;

[0046] Figure 4 shows characteristic indicators of Parkinson's disease using sawtooth motion as an example;

[0047] Figure 5 shows characteristic indicators of Parkinson's disease using acceleration motion as an example;

[0048] Figure 6 shows the test results of a real Parkinson's patient;

[0049] The markings in the figure are as follows: 1. Mobile phone; 2. Camera; 3. Near-infrared light source; 4. Visual target; 5. Rotating chair; 6. Motor; 7. Eye tracker; 8. Base plate; 9. Body fixator; 10. Head fixator. Modes for Carrying Out the Invention

[0050] The main symptoms of Parkinson's disease include resting tremor and gear-like movements caused by muscle rigidity, and unique symptoms include delayed initiation of movement and gradual acceleration. Eye movement is sensitive and high-speed. The present invention selects appropriate eye movement indicators, including the frequency, amplitude, and phase delay of large swings, and the frequency, amplitude, interruption, and movement disorder of micro-movements of the eye and micro-dilation of the pupil, to characterize the specific manifestations of Parkinson's disease. According to the different eye movement test motion scenarios provided to the subjects, the test can be divided into two types. One is the active movement scenario of the visual target test. In this mode, the motion module in the system provides the visual target, and the subject actively follows the movement of the visual target with his or her eyes; the other is the passive movement scenario of the rotation test. In this mode, the motion module in the system fixes the subject's body, and the motion module moves, causing the subject's eyes to passively follow the movement of the motion module and perform corresponding follow-up movements.

[0051] With respect to the first visual target test active movement scenario mode, the Parkinson's disease early screening system of the present invention includes:

[0052] The movement module provides subjects with active movement scenarios for eye movement testing to stimulate their eye movements;

[0053] A near-infrared light source, used for lighting the eye movement test process of the motion module;

[0054] A camera module is used to record and track the eye movements of the subject during the eye movement test using the motion module;

[0055] The processor module is used to process and compare the difference between the eye movement recorded and tracked by the camera module and the movement scenario provided by the movement module. The specific embodiment is as follows:

[0056] Example 1

[0057] As shown in Figure 1, the early screening system for Parkinson's disease includes a mobile phone. The mobile phone serves as a motion module that provides the subject with an active eye movement test scenario. Its display screen displays a virtual visual target for the subject's eyes to actively follow. The mobile phone's camera serves as a camera module for recording and tracking the subject's eye movements during the eye movement test. The mobile phone is equipped with an external near-infrared light source to provide the camera module with near-infrared imaging conditions; the near-infrared light source can also be selected from a mobile phone with a built-in near-infrared light source. The connection method between the camera module and the near-infrared light source is not limited to a separate setup; an infrared camera that directly combines the camera module and the near-infrared light source can also be selected. The processor module can be an external independent processor or a processor built into the mobile phone. Its specific form is not limited, as long as it can be used to compare the eye movement status with the movement scenario provided by the motion module. In this embodiment, the mobile phone's built-in processor is used to perform a comparative analysis of the eye movement status and the movement scenario provided by the motion module.

[0058] The visual target displayed on the mobile phone screen undergoes an oscillatory motion. This oscillatory motion is characterized by amplitude and includes regular patterns such as sinusoidal, cosine, and sawtooth, as well as other irregular patterns. This regular oscillation facilitates testing and data processing, saving time and increasing efficiency. The movement pattern of the virtual visual target on the mobile phone screen can be programmed without specific restrictions, as long as the virtual target can be displayed on the screen with a corresponding oscillatory motion.

[0059] The implementation process of the present invention is described below using a visual target performing sinusoidal oscillation.

[0060] During the test, the subject kept their body and head as still as possible while fixating their eyes on a visual target on the phone screen and following its movements. The visual target began moving from rest, oscillating back and forth on the phone screen in an oscillatory pattern that conformed to a sinusoidal function, with a frequency of 0.5Hz-1Hz. As shown in Figure 3, the initial amplitude was 0, and the time at this point was recorded as 0. Eye movements were tracked using a near-infrared light source and camera module for 10 minutes, as shown in Figure 3. Eye movement indicators included the frequency, amplitude, and phase delay of large eye movements, as well as the frequency, amplitude, interruptions, and movement disturbances of micro-eye movements and pupil dilations. Characteristic changes in Parkinson's disease patients include phase delays in large eye movements, which gradually recover, and after a period of time, some values ​​of phase, frequency, and amplitude are faster than those of the external visual target. Furthermore, there were discontinuous movements, intermittent interruptions, and disturbances in micro-pupil dilations. Taking the sinusoidal pattern as an example, eye movements have a delayed onset compared to visual oscillations, a smaller amplitude, gradually become equal, then exceed in frequency and amplitude, and finally stabilize at a constant value, as shown in Figure 3. Other regular oscillation patterns of visual targets, such as cosine and sawtooth patterns, also exhibit these distinct characteristics. The difference between cosine and sinusoidal oscillations lies in the different initial phases of the motion. The sawtooth pattern is shown in Figure 4.

[0061] In this embodiment, the motion module can be used with other display terminals, such as computers and televisions, in addition to mobile phones. Any display terminal that can display a virtual visual target and provide the subject's eyes with an active motion scenario, i.e., a swinging motion of the virtual visual target, can be used. These devices can implement the technical solution of this embodiment to achieve the goal of screening for early-stage Parkinson's disease patients. The visual test in this embodiment is convenient and quick, can be completed using a standard mobile phone and a mobile phone / computer app, and is easy to download, apply, and promote. It can be used for daily self-examination by the elderly and potential patients.

[0062] Example 2

[0063] This embodiment differs from the first embodiment in that the motion module that provides the subject's eyes with active motion scenarios is different. In this embodiment, the motion module includes a physical visual target, i.e., a physical visual target structure, such as a physical ball, and further structures connected to the physical ball to cause the ball to swing. The testing process and operating principles are identical to those of the first embodiment.

[0064] When the body or head moves, the eyeballs move in the opposite direction to stabilize the image of the environment on the retina. This phenomenon is called the vestibulo-ocular reflex. The second passive movement scenario of the rotation test of the present invention uses this neural reflex for early screening of Parkinson's disease. The rotation test has higher accuracy than the visual test. The rotation test is based on the neural reflex "vestibulo-ocular reflex" and is spontaneous and not under conscious control. The visual test requires the subject's eyes to actively follow the target movement, which is under conscious control and will be affected by other factors such as attention and fatigue level. Many Parkinson's patients have varying degrees of dementia and cannot follow the target movement with their eyes well. However, the neural reflex is not affected by dementia. Therefore, the rotation test is more accurate than the visual test.

[0065] For the second rotation test passive movement scenario, the Parkinson's disease early screening system of the present invention includes:

[0066] The movement module provides subjects with passive movement scenarios for eye movement testing to stimulate their eye movements;

[0067] A near-infrared light source, used for lighting the eye movement test process of the motion module;

[0068] A camera module is used to record and track the eye movements of the subject during the eye movement test using the motion module;

[0069] The processor module is used to process and compare the difference between the eye movement recorded and tracked by the camera module and the movement scenario provided by the movement module. The specific embodiment is as follows:

[0070] Example 3

[0071] As shown in Figure 2, the early screening system for Parkinson's disease provides the subject with a passive motion scenario for eye movement testing. Specifically, the basic components of the motion module include a rotating chair, a motor, a fixed shaft, and a speed monitor. The fixed shaft is fixed to a fixed base plate, the rotating chair is movably connected to the fixed shaft, and the motor is connected to the rotating chair in a transmission manner, so that the rotating chair performs a swinging motion or a rotating motion around the fixed shaft. The speed monitor records the motion data of the motion module and transmits it to the processor module. The motion module may also include a body fixator and a head fixator. The body fixator and the head fixator are respectively fixed to the rotating chair. The body fixator can make the subject's body movement closer to the movement of the rotating chair, making the screening results more accurate. The head fixator can reduce head swing, avoid excessive head movement during rotation, reduce the impact on the subject's eye movement, and make the screening results more accurate.

[0072] The near-infrared light source and the camera module are fixed on the rotating chair and are arranged directly opposite the eyes of the subject. There is no limitation on the fixing method of the processor module. It can be fixed on the rotating chair or it can be connected externally in other ways, and it can be used to compare the eye movement status of the eyeball and the difference in movement status between the movement scenarios provided by the movement module. In this embodiment, the near-infrared light source, the camera module and the processor module can also be integrated into one structure to form an eye tracker. The eye tracker can be made into a head-mounted type and worn directly on the subject's head, or the eye tracker can be a remote measurement eye tracker installed and fixed on the rotating chair. A commercial eye tracker with a camera function, a near-infrared light source and a processor can also be selected.

[0073] A swivel chair performs either oscillatory or rotational motion around a vertical fixed axis. Oscillatory motion is an amplitude-based motion. Specific oscillatory motions include regular oscillations such as sinusoidal, cosine, and sawtooth patterns, as well as other irregular patterns. Regular oscillations facilitate testing and data processing, saving time and increasing efficiency. Rotational motion is rotation in a clockwise or counterclockwise direction with an acceleration of a.

[0074] The following describes the implementation process of a motion module rotating chair performing sinusoidal swinging about a fixed axis.

[0075] During the test, the subject sat in a powered swivel chair, their body secured with a body restraint to prevent them from falling during the chair's rotation. Their head was also restrained to prevent excessive head movement during rotation, which could affect eye movement results. The powered swivel chair oscillated sinusoidally around a vertical fixed axis from a stationary position. The oscillation pattern followed a sine function, meaning the relationship between the amplitude and time of the oscillation followed a sine function, with a frequency of 0.5Hz-1Hz. This is shown in Figure 3. Simultaneously, a near-infrared light source and camera module were used to track the subject's eye movements. The test lasted 10 minutes, capturing eye movement data.

[0076] Figure 6 shows the results of the rotation test on a real Parkinson's disease case.

[0077] Normal people have quick reaction times, and the frequency, amplitude, and phase of eye movements are basically consistent with external motion stimuli. The differences in frequency and amplitude are generally ≤5%, and the phase lag is ≤0.2 seconds.

[0078] Movements in Parkinson's disease patients start slowly and gradually accelerate. Therefore, the initial phase lag in Figure 6 is large, the frequency is slow, and the amplitude (converted to the rotation angle in Figure 3) is small. Movement gradually accelerates, with the frequency and phase essentially aligning with the movement module, but there is movement overshoot, so the amplitude (rotation angle) exceeds the movement module. Another core symptom of Parkinson's disease is resting tremor, which is why the waveform in Figure 6 has large up-and-down oscillations. This tremor can be alleviated with movement, so the waveform oscillation is reduced when the eye movement is faster on the right side of the figure. Other regular oscillation patterns of electric swivel chairs, such as cosine and sawtooth oscillations, also exhibit these characteristics.

[0079] The following describes the implementation process of the motion module rotating chair rotating in one direction with acceleration.

[0080] After the subject begins the test, the electric rotating chair rotates in one direction at an acceleration a from rest. At the same time, the subject's eye movements are tracked through a near-infrared light source and a camera module. The test lasts for 3 minutes, and the eye movement status is obtained, as shown in Figure 5.

[0081] The visual test for stimulating active eye movement and the rotation test for stimulating passive eye movement in the present invention are suitable for different application scenarios. The visual test equipment is relatively simple and cheap, and is suitable for community hospitals or patient self-testing. However, it requires the subject to look at and follow the visual target. Parkinson's patients are prone to dementia, and some patients cannot actively cooperate. The rotation test uses a neural reflex, which is not affected by consciousness and dementia, is not easy to disguise, and the results are more accurate. However, professional equipment is required and it is suitable for hospital examinations. In addition, patients with tinnitus and vertigo cannot undergo rotation tests. For this group of people, a visual test can be selected.

[0082] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. An early screening system for Parkinson's disease, It is characterized in that include: The motion module provides subjects with motion scenarios for eye movement testing to stimulate their eye movements; A near-infrared light source, used for lighting during the eye movement test of the motion module; A camera module, used to record and track the eye movement of the subject during the eye movement test through the motion module; The processor module is used to process and compare the difference in motion conditions between the eye movement conditions recorded and tracked by the camera module and the motion scenarios provided by the motion module.

2. The Parkinson's disease early screening system according to claim 1, It is characterized in that The movement scenarios of the eye movement test include passive movement scenarios and active movement scenarios.

3. The Parkinson's disease early screening system according to claim 2, It is characterized in that The motion module is a device for providing an active motion scenario to the subject; the motion module has a visual target for the subject's eyes to actively follow, and the visual target performs a swinging motion.

4. The Parkinson's disease early screening system according to claim 3, It is characterized in that The oscillating motion includes one of a sinusoidal oscillation, a cosine oscillation, and a sawtooth oscillation.

5. The Parkinson's disease early screening system according to any one of claims 2 to 4, It is characterized in that The visual target is a virtual target, the motion module is a display terminal, and the visual target is displayed on the display terminal.

6. The Parkinson's disease early screening system according to claim 2, It is characterized in that The motion module is a device that provides a passive motion scenario to the subject's eyes; the motion module has a structure that fixes the subject so that the subject's body follows the device to make the same movement, and the eyeballs follow the device to move passively; the motion module performs swinging motion or rotational motion.

7. The Parkinson's disease early screening system according to claim 6, It is characterized in that The swinging motion includes one of sinusoidal swing, cosine swing and sawtooth swing; the rotational motion is rotation in one direction with a certain acceleration.

8. The Parkinson's disease early screening system according to claim 7, It is characterized in that The motion module includes a swivel chair, a motor and a fixed shaft; the swivel chair is movably connected to the fixed shaft, and the motor is transmission-connected to the swivel chair, so that the swivel chair performs a swinging motion or a rotating motion around the fixed shaft.

9. The Parkinson's disease early screening system according to claim 1, It is characterized in that The eye movement conditions include the frequency, amplitude, phase delay, and movement disorder of large swings.

10. The Parkinson's disease early screening system according to claim 9, It is characterized in that The eye movement status is obtained by subtracting the orbital movement data from the pupil movement data.

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