A method for assisted monitoring of progressive on-set patients based on videos of the fingers

Abstract

The application discloses a kind of progressive on-patients auxiliary monitoring method based on video of pointing, by letting patient lift finger part to do specified opening and closing action and the video recording of finger part action is carried out, then by processing and calculating to video to accurately obtain the kinematics parameter of finger part, medical staff can compare reference by these kinematics parameters and clinical diagnosis boundary table, to assist medical staff to judge the condition of patient;Since the mode of video is used, it can be realized without complex equipment and instruments, and the corresponding result can be quickly obtained, which can effectively eliminate the difference of individual absolute movement ability.

Description

Technical Field

[0001] This invention relates to the field of medical technology, and in particular to an auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video. Background Technology

[0002] Progressive supranuclear palsy (PSP) is a common atypical Parkinson's syndrome, pathologically characterized by abnormal aggregation of Tau protein in neurons, oligodendrocytes, and astrocytes. Diagnosis is highly complex due to the multiple clinical subtypes and overlapping symptoms of Parkinson's disease (PD) and other atypical Parkinson's syndromes. This complexity often leads to a high rate of misdiagnosis. Reliable biomarkers are urgently needed to facilitate early diagnosis and differentiate PSP from other neurodegenerative diseases.

[0003] In existing technologies, auxiliary judgments are made by analyzing a set of reference tables of finger movement parameters. The technologies used to analyze finger-opposing movement parameters mainly fall into two categories: wearable devices and photoelectric analyzers. The former uses motion sensors fixed to the finger to detect movement information of various parts of the finger during finger-opposing movements. However, when a large number of sensors are fixed to the fingertip or joint, it affects finger movement. This effect is more pronounced in patients with movement disorders such as Parkinson's disease and progressive supranuclear palsy. Furthermore, these sensors require professional wear and are time-consuming, making them difficult to apply in outpatient or home monitoring scenarios. The latter uses fixed light transmitters and receivers to convert changes in light signals generated during the finger-opposing movement cycle into motion information. This requires specific areas to fix the transmitter and sensors, and the motion parameter errors are relatively large. Furthermore, existing technologies generally only measure the amplitude, speed, or frequency of finger movements. More importantly, there are differences in absolute motor ability among individuals. PSP patients also commonly exhibit "insufficient contribution" or "dysco-coordination" of the thumb relative to the index finger. Therefore, there is an urgent need for a simpler measurement method that is applicable to multiple scenarios and can effectively measure more parameters, enabling medical staff to make comprehensive judgments on the condition based on more comprehensive data. Summary of the Invention

[0004] To address the technical problem that it is difficult to eliminate an individual's absolute motor ability when using wearable devices or photoelectric analyzers to obtain information on finger movements, this invention provides a solution.

[0005] To achieve the above objectives, the present invention provides an auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video, comprising the following steps:

[0006] A shooting area is generated, and video is recorded of the hand making the expected opening and closing motion within the shooting area;

[0007] The video was analyzed, and the two-dimensional coordinates of the wrist joint, index fingertip, and thumbtip in each frame were tracked.

[0008] The time required for the opening and closing action of the thumb tip and index finger tip is defined as a finger-tapping cycle, the duration of each finger-tapping cycle is denoted as Δt, and the total number of finger-tapping cycles is denoted as n.

[0009] The cycle parameter is calculated using the duration of the finger-tapping cycle; the average parameter is calculated using the total number of finger-tapping cycles and the cycle parameter.

[0010] The reference parameter items calculated using the periodic parameter items and / or the average parameter items are compared with the parameter table to assist in obtaining the monitoring results.

[0011] As an improvement to this application, the extracted analysis video timeline is from the 2nd second after the start of the video to the end of the video.

[0012] As an improvement of this application, after generating the two-dimensional coordinates, a two-dimensional coordinate system is established with the wrist joint as the origin, and all coordinates are normalized.

[0013] As an improvement to this application:

[0014] The periodic parameter is:

[0015] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0016] The average parameter term is:

[0017] The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees;

[0018] The average thumb movement angle Meanφ is used as the reference parameter.

[0019] As an improvement to this application, the periodic parameter is:

[0020] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0021] The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second;

[0022] The average parameter term is:

[0023] The average thumb movement angular velocity MeanT is calculated using the formula: MeanT = 1 / n ΣT, with the unit being degrees per second; the average thumb movement angular velocity MeanT is then used as the reference parameter.

[0024] As an improvement to this application, the periodic parameter is:

[0025] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0026] The average parameter term is:

[0027] The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees;

[0028] The reference parameter item is:

[0029] The coefficient of variation (CVφ) of the thumb period angle is calculated as follows: CVφ = Σφ / Meanφ, where σφ is the standard deviation of the φ value in the same video.

[0030] As an improvement to this application, the periodic parameter is:

[0031] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0032] The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second;

[0033] The average parameter term is:

[0034] The average angular velocity of the thumb movement, MeanΤ, is calculated using the formula: MeanΤ = 1 / n ΣΤ, with the unit being degrees per second;

[0035] The reference parameter item is:

[0036] The coefficient of variation of the thumb periodic angular velocity is calculated as: CVT = ΣT / MeanT, where σφ is the standard deviation of the φ value in the same video.

[0037] As an improvement to this application, the periodic parameter is:

[0038] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0039] The reference parameter item is:

[0040] The maximum thumb angle Maxφ in the same video is calculated using the formula Maxφ = Max(φ1, φ2, φ3… φn), with the unit being degrees.

[0041] As an improvement to this application, the periodic parameter is:

[0042] The thumb cycle angle φ is calculated using the formula: φ = arccos OA1• OA2 / |OA1|•|OA2|, in degrees; where A1 is the closed point formed by the thumb tip in the same finger-tapping cycle, A2 is the open point formed by the thumb tip in the same finger-tapping cycle, and O is the marker point of the wrist joint;

[0043] The finger-pairing period angle θ is calculated using the formula: θ = arccos OA3• OB / |OA3|•|OB|, in degrees; where A3 is the opening point formed by the index fingertip in the same finger-pairing period, and B is the opening point formed by the thumbtip in the same finger-pairing period.

[0044] The average parameter term is:

[0045] The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees;

[0046] The average finger angle Meanθ is calculated using the formula: Meanθ = 1 / n Σ θ, in degrees;

[0047] The reference parameter item is:

[0048] The average percentage of thumb movement angle is calculated using the formula: Meanφ / Meanθ*100%.

[0049] As an improvement to this application, the periodic parameter is:

[0050] The thumb cycle angle φ is calculated using the formula: φ = arccos OA1• OA2 / |OA1|•|OA2|, in degrees; where A1 is the closed point formed by the thumb tip in the same finger-tapping cycle, A2 is the open point formed by the thumb tip in the same finger-tapping cycle, and O is the marker point of the wrist joint;

[0051] The finger-pairing period angle θ is calculated using the formula: θ = arccos OA3• OB / |OA3|•|OB|, in degrees; where A3 is the opening point formed by the index fingertip in the same finger-pairing period, and B is the opening point formed by the thumbtip in the same finger-pairing period.

[0052] The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second;

[0053] The periodic angular velocity ω is calculated using the formula: ω = θ / Δt, with units of degrees per second;

[0054] The average parameter term is:

[0055] The average angular velocity of the thumb movement, MeanΤ, is calculated using the formula: MeanΤ = 1 / n ΣΤ, with the unit being degrees per second;

[0056] The average finger angular velocity Meanω is calculated using the formula: Meanω = 1 / n Σ ω, with the unit being degrees per second;

[0057] The reference parameter item is:

[0058] The average percentage of thumb movement angular velocity is calculated using the formula: MeanΤ / Meanω * 100%.

[0059] The beneficial effects of this invention are as follows: Compared with the prior art, this invention provides an auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-based video. This method involves having the patient raise their fingers to perform a specified opening and closing motion, and recording the finger movements on video. The video is then processed and calculated to accurately derive the kinematic parameters of the fingers. Medical personnel can then compare these kinematic parameters with clinical diagnostic threshold tables to assist in assessing the patient's condition. Because it uses video, it can be implemented without complex equipment and instruments, and can quickly produce corresponding results, effectively eliminating individual differences in absolute motor ability. Attached Figure Description

[0060] Figure 1 This is a process flow diagram of the present invention. Detailed Implementation

[0061] To more clearly illustrate the present invention, the invention will be further described below with reference to the accompanying drawings.

[0062] In the following description, specific examples are given to provide a more in-depth understanding of the invention. It is obvious that the described embodiments are merely some, not all, of the embodiments of the invention. It should be understood that the specific embodiments described are for illustrative purposes only and are not intended to limit the scope of the invention.

[0063] It should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of the said feature, integral, step, operation, element, or component, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, or combinations thereof.

[0064] To address the aforementioned technical problems, this application provides an auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video. Please refer to the appendix. Figure 1 This includes the following steps:

[0065] Generate a shooting area and record video of the hand making the expected opening and closing motion within the shooting area;

[0066] Analyze the video and track the two-dimensional coordinates of the wrist joint, index fingertip, and thumbtip in each frame of the image; use the computer vision library MediaPipe to automatically identify and track the wrist joint, index fingertip, and thumbtip in each frame of the image to achieve the acquisition of two-dimensional coordinates;

[0067] The time required for the opening and closing action of the thumb and index finger is taken as a finger-tapping cycle. The duration of each finger-tapping cycle is denoted as Δt, and the total number of finger-tapping cycles is denoted as n. It is easy to understand that the total number of finger-tapping cycles n can be understood as the number of finger-tapping actions.

[0068] The periodic parameter is calculated using the duration of the finger-tapping cycle; the average parameter is calculated using the total number of finger-tapping cycles and the periodic parameter.

[0069] The reference parameters calculated using periodic and / or average parameters are compared with the parameter table to help obtain monitoring results.

[0070] During the actual video recording process, a camera or smartphone fixed on a tripod should be used to record video in a uniformly lit environment (recommended resolution 1920×1080, frame rate 30fps or higher). The user's actions should be as follows: The subject sits in front of the camera, 1 meter away, with their palm fully exposed and facing the lens, thumb and forefinger parallel to the camera plane, and the other three fingers naturally spread. After hearing the "start" command, the subject should perform a continuous, rapid, and large-amplitude tapping motion with their thumb and forefinger for at least 12 seconds, until the "stop" command is heard. The left and right hands are tested separately for recording purposes. It is evident that by having patients raise their fingers to perform specified opening and closing movements and recording these movements on video, and then processing and calculating the video to accurately derive the kinematic parameters of the fingers, medical staff can compare these kinematic parameters with clinical diagnostic threshold tables to assist in assessing the patient's condition. Because it uses video, it can be implemented without complex equipment and instruments. Furthermore, by constructing a two-dimensional coordinate system using the wrist joint, index fingertip, and thumbtip in the image, it can quickly obtain corresponding results while effectively eliminating individual differences in absolute motor ability.

[0071] In this embodiment, the timeline of the video to be analyzed is from the 2nd second after the start of the video to the end of the video. The stable tapping cycle that appears in this time period is selected for analysis, which can effectively eliminate the start-up and fatigue effects and make the obtained parameters more accurate.

[0072] In this embodiment, after generating two-dimensional coordinates, a two-dimensional coordinate system is established with the wrist joint as the origin, and all coordinates are normalized to eliminate the influence of shooting distance and individual hand size differences, thereby obtaining better finger movement parameters.

[0073] In the specific scheme, the finger motion parameters can be divided into two types: periodic parameters and average parameters. Periodic parameters include: finger-opposing period angle θ, finger-opposing period angular velocity ω, thumb period angle φ, and thumb period angular velocity T. Average parameters include: average finger-opposing angle Mean θ, average finger-opposing angular velocity Mean ω, average thumb motion angle Mean φ, and average thumb motion angular velocity Mean T. Further calculations of the periodic and average parameters yield the following parameters: maximum thumb angle Maxφ, percentage of average thumb motion angle, and percentage of average thumb motion angular velocity. These parameters, combined with diagnostic thresholds, ultimately assist medical personnel in making judgments. Please refer to Table 1 below for specific parameters.

[0074] Table 1

[0075] Finger motion parameters Diagnostic threshold <![CDATA[ Average thumb movement angle (°)]]> ＜11.7 Average angular velocity of thumb movement (° / s) ＜23.36 Maximum thumb movement angle (°) ＜9.61 <![CDATA[ Average thumb movement angle Percentage (%) ＜36.04 Average thumb movement angular velocity percentage (%) ＜35.64 Thumb period angle variation coefficient 4 ＞0.28 Thumb periodic angular velocity variation coefficient 5 ＞0.36

[0076] Furthermore, based on the finger movement parameters in the table above, the specific calculation process will be explained in detail below:

[0077] Example 1:

[0078] The periodic parameter is:

[0079] The thumb period angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. Here, A1 is the closed point formed by the thumb tip in the same interphalangeal striking cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal striking cycle. O is the marker point of the wrist joint. The thumb period angle φ is the angle between the vectors pointing from the wrist key point (O) to the closed point A1 and the open point A2 of the thumb tip within the same cycle.

[0080] The average parameter is:

[0081] The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees;

[0082] The average thumb movement angle Meanφ is used as a reference parameter.

[0083] Example 2:

[0084] The periodic parameter is:

[0085] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. Where A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0086] The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second;

[0087] The average parameter is:

[0088] The average thumb angular velocity MeanT is calculated using the formula: MeanT = 1 / n ΣT, with the unit being degrees per second; the average thumb angular velocity MeanT is used as a reference parameter.

[0089] Example 3:

[0090] The periodic parameter is:

[0091] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. Where A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0092] The average parameter is:

[0093] The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees;

[0094] The reference parameters are:

[0095] The coefficient of variation (CVφ) of the thumb period angle is calculated as follows: CVφ = Σφ / Meanφ, where σφ is the standard deviation of the φ value in the same video.

[0096] Example 4:

[0097] The periodic parameter is:

[0098] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. Where A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0099] The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second;

[0100] The average parameter is:

[0101] The average angular velocity of the thumb movement, MeanΤ, is calculated using the formula: MeanΤ = 1 / n ΣΤ, with the unit being degrees per second;

[0102] The reference parameters are:

[0103] The coefficient of variation of the thumb periodic angular velocity is calculated as: CVT = ΣT / MeanT, where σφ is the standard deviation of the φ value in the same video.

[0104] Example 5:

[0105] The periodic parameter is:

[0106] The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. Where A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint.

[0107] The reference parameters are:

[0108] The maximum thumb angle Maxφ in the same video is calculated using the formula Maxφ = Max(φ1, φ2, φ3… φn), with the unit being degrees.

[0109] Example 6:

[0110] The periodic parameter is:

[0111] The thumb cycle angle φ is calculated using the formula: φ = arccos OA1• OA2 / |OA1|•|OA2|, in degrees; where A1 is the closed point formed by the thumb tip in the same interphalangeal striking cycle, A2 is the open point formed by the thumb tip in the same interphalangeal striking cycle, and O is the marker point of the wrist joint; the thumb cycle angle φ is the angle between the wrist marker point (O) and the vector pointing to the closed point A1 and the open point A2 of the thumb tip.

[0112] The finger-pairing period angle θ is calculated using the formula: θ = arccos OA3• OB / |OA3|•|OB|, in degrees; where A3 is the opening point formed by the index fingertip in the same finger-pairing period, and B is the opening point formed by the thumbtip in the same finger-pairing period; the finger-pairing period angle θ is the maximum value of the angle between the vector from the wrist marker point (O) to the index fingertip opening point A3 and the vector from the wrist marker point (O) to the thumbtip opening point B within the same finger-pairing period;

[0113] The average parameter is:

[0114] The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees;

[0115] The average finger angle Meanθ is calculated using the formula: Meanθ = 1 / n Σ θ, in degrees;

[0116] The reference parameters are:

[0117] The average percentage of thumb movement angle is calculated using the formula: Meanφ / Meanθ*100%.

[0118] Example 7:

[0119] The periodic parameter is:

[0120] The thumb cycle angle φ is calculated using the formula: φ = arccos OA1• OA2 / |OA1|•|OA2|, in degrees; where A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle, and O is the marker point of the wrist joint;

[0121] The angle θ of the interphalangeal period is calculated by the formula: θ = arccos OA3• OB / ∣OA3∣•∣OB∣, in degrees; where A3 is the opening point formed by the tip of the index finger in the same interphalangeal tapping cycle, and B is the opening point formed by the tip of the thumb in the same interphalangeal cycle.

[0122] The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second;

[0123] The periodic angular velocity ω is calculated using the formula: ω = θ / Δt, with units of degrees per second;

[0124] The average parameter is:

[0125] The average angular velocity of the thumb movement, MeanΤ, is calculated using the formula: MeanΤ = 1 / n ΣΤ, with the unit being degrees per second;

[0126] The average finger angular velocity Meanω is calculated using the formula: Meanω = 1 / n Σ ω, with the unit being degrees per second;

[0127] The reference parameters are:

[0128] The average percentage of thumb movement angular velocity is calculated using the formula: MeanΤ / Meanω * 100%.

[0129] It is worth further explaining that in Examples 6 and 7, the two ratios can effectively quantify the contribution of the thumb in the overall finger-to-finger movement, effectively eliminating the differences in the absolute range of motion of individuals.

[0130] The advantages of this invention are:

[0131] By having patients raise their fingers to perform specified opening and closing movements and recording the finger movements on video, the kinematic parameters of the fingers can be accurately obtained through video processing and calculation. Medical staff can then compare these kinematic parameters with clinical diagnostic threshold tables to assist in assessing the patient's condition. Because it uses video, it can be done without complex equipment and instruments, and can quickly produce corresponding results, which can effectively eliminate individual differences in absolute motor ability.

[0132] The above-disclosed embodiments are merely a few specific examples of the present invention, but the present invention is not limited thereto. Any variations that can be conceived by those skilled in the art should fall within the protection scope of the present invention.

Claims

1. A method for auxiliary monitoring of patients with progressive supranuclear palsy based on finger-to-finger video, characterized in that, Includes the following steps: A shooting area is generated, and video is recorded of the hand making the expected opening and closing motion within the shooting area; The video was analyzed, and the two-dimensional coordinates of the wrist joint, index fingertip, and thumbtip in each frame were tracked. The time required for the opening and closing action of the thumb tip and index finger tip is defined as a finger-tapping cycle, the duration of each finger-tapping cycle is denoted as Δt, and the total number of finger-tapping cycles is denoted as n. The periodic parameter is calculated using the duration of the finger-tapping cycle; The average parameter is calculated using the total number of the finger-tapping cycles and the cycle parameter. The reference parameter items calculated using the periodic parameter items and / or the average parameter items are compared with the parameter table to assist in obtaining the monitoring results.

2. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that, The extracted timeline of the video for analysis is from the 2nd second of the video to the end of the video.

3. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that, After generating the two-dimensional coordinates, a two-dimensional coordinate system is established with the wrist joint as the origin, and all coordinates are normalized.

4. A method for auxiliary monitoring of patients with progressive supranuclear palsy based on finger-to-finger video according to any one of claims 1-3, characterized in that: The periodic parameter is: The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint. The average parameter term is: The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees; The average thumb movement angle Meanφ is used as the reference parameter.

5. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that: The periodic parameter is: The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint. The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second; The average parameter term is: The average thumb movement angular velocity MeanT is calculated using the formula: MeanT = 1 / n ΣT, with the unit being degrees per second; the average thumb movement angular velocity MeanT is then used as the reference parameter.

6. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that: The periodic parameter is: The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint. The average parameter term is: The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees; The reference parameter item is: The coefficient of variation (CVφ) of the thumb period angle is calculated as follows: CVφ = Σφ / Meanφ, where σφ is the standard deviation of the φ value in the same video.

7. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that: The periodic parameter is: The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint. The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second; The average parameter term is: The average angular velocity of the thumb movement, MeanΤ, is calculated using the formula: MeanΤ = 1 / n ΣΤ, with the unit being degrees per second; The reference parameter item is: The coefficient of variation of the thumb periodic angular velocity is calculated as: CVT = ΣT / MeanT, where σφ is the standard deviation of the φ value in the same video.

8. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that: The periodic parameter is: The thumb cycle angle φ is given by arccos(OA1•OA2 / |OA1|•|OA2|), in degrees. A1 is the closed point formed by the thumb tip in the same interphalangeal tapping cycle, and A2 is the open point formed by the thumb tip in the same interphalangeal tapping cycle. O is the marker point of the wrist joint. The reference parameter item is: The maximum thumb angle Maxφ in the same video is calculated using the formula Maxφ = Max(φ1, φ2, φ3… φn), with the unit being degrees.

9. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that: The periodic parameter is: The thumb cycle angle φ is calculated using the formula: φ = arccos OA1• OA2 / |OA1|•|OA2|, in degrees; where A1 is the closed point formed by the thumb tip in the same finger-tapping cycle, A2 is the open point formed by the thumb tip in the same finger-tapping cycle, and O is the marker point of the wrist joint; The finger-pairing period angle θ is calculated using the formula: θ = arccos OA3• OB / |OA3|•|OB|, in degrees; where A3 is the opening point formed by the index fingertip in the same finger-pairing period, and B is the opening point formed by the thumbtip in the same finger-pairing period. The average parameter term is: The average thumb movement angle Meanφ is calculated using the formula: Meanφ = 1 / n Σ φ, in degrees; The average finger angle Meanθ is calculated using the formula: Meanθ = 1 / n Σ θ, in degrees; The reference parameter item is: The average percentage of thumb movement angle is calculated using the formula: Meanφ / Meanθ*100%.

10. The auxiliary monitoring method for patients with progressive supranuclear palsy based on finger-to-finger video according to claim 1, characterized in that: The periodic parameter is: The thumb cycle angle φ is calculated using the formula: φ = arccos OA1• OA2 / |OA1|•|OA2|, in degrees; where A1 is the closed point formed by the thumb tip in the same finger-tapping cycle, A2 is the open point formed by the thumb tip in the same finger-tapping cycle, and O is the marker point of the wrist joint; The finger-pairing period angle θ is calculated using the formula: θ = arccos OA3• OB / |OA3|•|OB|, in degrees; where A3 is the opening point formed by the index fingertip in the same finger-pairing period, and B is the opening point formed by the thumbtip in the same finger-pairing period. The periodic angular velocity T of the thumb is calculated using the formula: T = φ / Δt, with units of degrees per second; The periodic angular velocity ω is calculated using the formula: ω = θ / Δt, with units of degrees per second; The average parameter term is: The average angular velocity of the thumb movement, MeanΤ, is calculated using the formula: MeanΤ = 1 / n ΣΤ, with the unit being degrees per second; The average finger angular velocity Meanω is calculated using the formula: Meanω = 1 / n Σ ω, with the unit being degrees per second; The reference parameter item is: The average percentage of thumb movement angular velocity is calculated using the formula: MeanΤ / Meanω * 100%.

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