Post-injury sports monitoring system and monitoring method

Abstract

The present invention discloses a post-injury sports monitoring system and monitoring method. The post-injury sports monitoring system includes an image capture module, an electrocardiographic sensor, and an analysis module including a calculation unit and an analysis unit. The image capture module and the electrocardiographic sensor generate a first motion posture image, a second motion posture image, a first electrocardiogram sensing signal, and a second electrocardiogram sensing signal according to an athlete's motion before and after the injury. The calculation unit is operable to calculate a difference between the first motion posture image and the second motion posture image to generate a posture average difference, and is operable to calculate a difference between the first electrocardiogram sensing signal and the second electrocardiogram sensing signal to generate an electrocardiogram average difference. The analysis unit obtains an evaluation result according to whether the posture average difference falls into one of a plurality of posture evaluation intervals and according to whether the electrocardiogram average difference falls into one of a plurality of electrocardiogram evaluation intervals.

Description

Technical Field

[0001] This invention relates to a monitoring system and a monitoring method, and more particularly to a post-injury movement monitoring system and a monitoring method. Prior Technology

[0002] While existing sports monitoring systems can provide athletes with basic sports data recording, they still have many shortcomings in tracking and assessing sports injuries.

[0003] Therefore, the inventor believed that the above-mentioned defects could be improved. So he devoted himself to research and applied scientific principles, and finally proposed an invention that is reasonably designed and effectively improves the above-mentioned defects. Summary of the Invention

[0004] The present invention provides a post-injury motion monitoring system and method, which can effectively improve the defects that may occur in existing motion monitoring systems.

[0005] One embodiment of the present invention discloses a post-injury sports monitoring system, comprising: an imaging module for capturing an image of an athlete performing a sports movement before injury to generate a first sports posture image, and the imaging module for capturing an image of the athlete performing the sports movement after injury to generate a second sports posture image; an electrocardiogram (ECG) sensor for measuring the heart state of the athlete during the sports movement before injury to generate a first ECG sensing signal, and the ECG sensor for measuring the heart state of the athlete during the sports movement after injury to generate a second ECG sensing signal; and an analysis module electrically coupled to the imaging module and the ECG sensor, the analysis module comprising: a calculation unit electrically coupled to the imaging module and the ECG sensor, the calculation unit receiving the first sports posture image and the second sports posture image, and calculating the first sports posture image. The difference between the posture image and the second motion posture image generates a posture average difference; wherein, the calculation unit receives the first ECG sensing signal and the second ECG sensing signal, and calculates the difference between the first ECG sensing signal and the second ECG sensing signal to generate an ECG average difference; and an analysis unit, electrically coupled to the calculation unit, receives the posture average difference and the ECG average difference, the analysis unit having multiple posture assessment intervals and multiple ECG assessment intervals, each posture assessment interval corresponding to a different posture difference, each ECG assessment interval corresponding to a different ECG difference; wherein, the analysis unit can obtain an assessment result based on the posture average difference falling into one of the multiple posture assessment intervals and based on the ECG average difference falling into one of the multiple ECG assessment intervals to assess the athlete's recovery status.

[0006] One embodiment of the present invention discloses a post-injury exercise monitoring method, which is applied to a post-injury exercise monitoring system. The steps of the post-injury exercise monitoring method include: configuring an imaging module to capture an image of an athlete performing an exercise before injury to generate a first exercise posture image, and the imaging module to capture an image of the athlete performing the exercise after injury to generate a second exercise posture image; configuring an electrocardiogram (ECG) sensor to measure the heart state of the athlete performing the exercise before injury to generate a first ECG sensing signal, and the ECG sensor to measure the heart state of the athlete performing the exercise after injury to generate a second ECG sensing signal; configuring a calculation unit of an analysis module to receive the first exercise posture image and the second exercise posture image, and to calculate the first exercise posture image and the second exercise posture image. The difference between two motion posture images generates a posture average difference; wherein, the calculation unit receives the first ECG sensing signal and the second ECG sensing signal, and calculates the difference between the first ECG sensing signal and the second ECG sensing signal to generate an ECG average difference; and an analysis unit configured with the analysis module receives the posture average difference and the ECG average difference, the analysis unit having multiple posture assessment intervals and multiple ECG assessment intervals, each posture assessment interval corresponding to a different posture difference, and each ECG assessment interval corresponding to a different ECG difference; wherein, the analysis unit can obtain an assessment result based on the posture average difference falling into one of the multiple posture assessment intervals and based on the ECG average difference falling into one of the multiple ECG assessment intervals to assess the athlete's recovery status.

[0007] In summary, the post-injury sports monitoring system and method disclosed in this invention utilizes a calculation unit to calculate the difference between a first sports posture image and a second sports posture image to generate an average posture difference, and a calculation unit to calculate the difference between a first electrocardiogram (ECG) sensing signal and a second ECG sensing signal to generate an average ECG difference. Furthermore, the analysis unit can determine an assessment result based on the average posture difference falling within one of multiple posture assessment intervals and the average ECG difference falling within one of multiple ECG assessment intervals to assess the athlete's recovery status. This enables the post-injury sports monitoring system to synchronously process image data and ECG data, achieving linked analysis of movement patterns and physiological responses. This not only bridges the gap between existing technologies in movement and physiological monitoring but also helps medical teams develop more precise and personalized exercise plans, improving athlete rehabilitation efficiency, shortening recovery time, and reducing the risk of secondary injury.

[0008] To further understand the features and technical content of this invention, please refer to the following detailed description and accompanying drawings. However, these descriptions and drawings are only for illustrating the invention and are not intended to limit the scope of protection of the invention in any way. Simple Explanation of the Diagram

[0009] Figure 1 is a block diagram of the post-injury movement monitoring system according to an embodiment of the present invention.

[0010] Figure 2 is a flowchart illustrating the steps of the post-injury movement monitoring method according to an embodiment of the present invention. Implementation

[0011] The following specific embodiments illustrate the implementation of the "Post-Injury Movement Monitoring System and Method" disclosed in this invention. Those skilled in the art can understand the advantages and effects of this invention from the content disclosed in this specification. This invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the concept of this invention. Furthermore, the accompanying drawings of this invention are for simple illustrative purposes only and are not depictions of actual dimensions; this is stated beforehand. The following embodiments will further describe the relevant technical content of this invention in detail, but the disclosed content is not intended to limit the scope of protection of this invention.

[0012] It should be understood that while terms such as "first," "second," and "third" may be used in this document to describe various components or signals, these components or signals should not be limited by these terms. These terms are primarily used to distinguish one component from another, or one signal from another. Furthermore, the term "or" as used herein should, as appropriate, include any combination of one or more of the associated listed items.

[0013] Please refer to Figures 1 and 2, which illustrate embodiments of the present invention. This embodiment provides a post-injury sports monitoring system 100, used to monitor the recovery status of an athlete after an injury. The post-injury sports monitoring system 100 can record and analyze sports images to measure movement patterns in detail before and after injury, and re-measure during post-injury exercise, thereby comparing the differences in movement data before and after injury. Furthermore, by integrating electrocardiogram (ECG) data, it assists in observing the athlete's physiological condition during treatment.

[0014] As described above, the post-injury exercise monitoring system 100 of this embodiment is an integrated data analysis system that processes image data and electrocardiogram data synchronously to achieve linkage analysis of movement patterns and physiological responses. This not only bridges the gap between existing technologies in movement and physiological monitoring, but also helps medical teams develop more precise and personalized exercise plans, improves athletes' rehabilitation efficiency, shortens recovery time, and reduces the risk of secondary injury.

[0015] It should be noted that, for ease of understanding of this embodiment, the diagrams depict partial blocks of the post-injury motion monitoring system 100 to clearly show the blocks and their connections. However, this invention is not limited to these diagrams. The following sections will describe each block of the post-injury motion monitoring system 100 and their connections.

[0016] As shown in Figure 1, the post-injury sports monitoring system 100 includes an image acquisition module 1, an electrocardiogram (ECG) sensor 2, and an analysis module 3 electrically coupled to the image acquisition module 1 and the ECG sensor 2. The image acquisition module 1 is a high-precision lens module used to record the athlete's movements, capturing movement patterns before and after the injury.

[0017] Specifically, the image acquisition module 1 captures an image of an athlete performing a movement, generating a first motion posture image. In this embodiment, the image acquisition module 1 can capture the athlete's movement at regular intervals to ensure that the image acquisition module 1 can record the athlete's movement before injury, but the present invention is not limited thereto. For example, in other embodiments of the present invention not illustrated, the first motion posture image of the athlete before injury can also be obtained through big data.

[0018] Furthermore, the image acquisition module 1 can capture an image of the athlete performing a movement after injury, generating a second motion posture image, which can be used by subsequent circuits to analyze the difference between the first motion posture image and the second motion posture image.

[0019] The electrocardiogram (ECG) sensor 2 measures the athlete's heart state during the movement performed before the injury, generating a first ECG sensing signal. Specifically, the ECG sensor 2 is synchronized with the imaging module 1; when the imaging module 1 captures an image of the athlete, the ECG sensor 2 simultaneously measures the athlete's heart state. Therefore, each movement posture of the athlete in the first motion posture image generated by the imaging module 1 corresponds to one ECG sensing value in the ECG sensing signal.

[0020] In addition, the ECG sensor 2 measures the athlete's heart state during the movement after injury, generating a second ECG sensing signal. Specifically, the ECG sensor 2 is synchronized with the imaging module 1. When the imaging module 1 captures an image of the athlete, the ECG sensor 2 simultaneously measures the athlete's heart state. Therefore, each movement posture of the athlete in the second motion posture image generated by the imaging module 1 corresponds to an ECG sensing value in the ECG sensing signal. It should be noted that the ECG sensing signal includes a heart rate and a heart rate variability (HRV).

[0021] As shown in Figure 1, the analysis module 3 includes a calculation unit 31 and an analysis unit 32. The calculation unit 31 is electrically coupled to the imaging module 1 and the electrocardiogram sensor 2. The calculation unit 31 receives a first motion posture image and a second motion posture image, and calculates the difference between the first motion posture image and the second motion posture image to generate a posture average difference.

[0022] In this embodiment, the calculation unit 31 calculates the difference between the athlete's limb joint angles in the first motion posture image and the athlete's limb joint angles in the second motion posture image to generate an average posture difference.

[0023] For example, the recorded motion posture video of an athlete is a throwing motion. The first motion posture video shows the athlete's complete throwing motion before the injury, and the second motion posture video shows the athlete's complete throwing motion after the injury. The calculation unit 31 can first calculate the shoulder joint angle of the throwing arm in the athlete's complete throwing motion before the injury in the first motion posture video. Then, the calculation unit 31 calculates the shoulder joint angle of the throwing arm in the athlete's complete throwing motion after the injury in the second motion posture video.

[0024] Next, the calculation unit 31 calculates the difference between the shoulder joint angle of the throwing arm in the athlete's complete throwing motion before injury in the first motion posture image and the shoulder joint angle of the throwing arm in the athlete's complete throwing motion after injury in the second motion posture image, and generates the average posture difference.

[0025] It should be noted that the calculation unit 31 calculates the average posture difference by first calculating the difference between the shoulder joint angle in the first motion posture image and the shoulder joint angle in the second motion posture image, generating a posture difference signal. Then, the calculation unit 31 samples the posture difference signal to generate multiple posture difference values. Finally, the calculation unit 31 sums the multiple posture difference values ​​according to the number of samples and divides by the number of samples to obtain the average posture difference, but the present invention is not limited to this.

[0026] Furthermore, the calculation unit 31 also receives the first ECG sensing signal and the second ECG sensing signal, and calculates the difference between the first ECG sensing signal and the second ECG sensing signal to generate an average ECG difference. Specifically, the calculation unit 31 first calculates the difference between the first ECG sensing signal and the second ECG sensing signal to generate an ECG difference signal. Next, the calculation unit 31 samples the ECG difference signal to generate multiple ECG difference values. Finally, the calculation unit 31 sums the multiple ECG difference values ​​and divides them by the number of samples to obtain the average ECG difference, but the present invention is not limited to this.

[0027] The analysis unit is electrically coupled to the calculation unit 31. The analysis unit 32 receives the average postural difference and the average electrocardiogram (ECG) difference. The analysis unit 32 has multiple postural assessment intervals and multiple ECG assessment intervals, each corresponding to a different postural difference and each corresponding to a different ECG difference. The analysis unit 32 can obtain an assessment result based on the average postural difference falling into one of the multiple postural assessment intervals and the average ECG difference falling into one of the multiple ECG assessment intervals to assess the athlete's recovery status.

[0028] For example, taking the aforementioned pitching as an example, the multiple posture assessment intervals include a first posture assessment interval, a second posture assessment interval, a third posture assessment interval, a fourth posture assessment interval, and a fifth posture assessment interval. Specifically, when the first posture assessment interval is 0-10 degrees, the injury recovery percentage is 90%; when the second posture assessment interval is 11-20 degrees, the injury recovery percentage is 80%; when the third posture assessment interval is 21-30 degrees, the injury recovery percentage is 70%; when the fourth posture assessment interval is 31-35 degrees, the injury recovery percentage is 70%; and when the fifth posture assessment interval is above 36 degrees, the injury recovery percentage is below 60%.

[0029] Furthermore, the multiple ECG assessment intervals include a first ECG assessment interval, a second ECG assessment interval, and a third ECG assessment interval. Among them, when the first ECG assessment interval is a heart rate of 60-150 beats per minute, the injury recovery percentage does not need to be changed; when the second ECG assessment interval is a heart rate of 151-180 beats per minute, the injury recovery percentage needs to be reduced by 20%; and when the third ECG assessment interval is a heart rate of 181 beats per minute or higher, exercise needs to be stopped immediately.

[0030] Based on the above, assuming the average postural difference obtained by analysis unit 32 is 9 degrees and the average ECG difference is a heart rate of 145 beats per minute, the assessment result is a recovery percentage of 90%. Assuming the average postural difference obtained by analysis unit 32 is 11 degrees and the average ECG difference is a heart rate of 170 beats per minute, the assessment result is a recovery percentage of 60%, but the present invention is not limited to these. The method by which analysis unit 32 generates the assessment result can be varied according to actual design requirements.

[0031] Furthermore, the calculation unit 31 can calculate the difference between the first motion posture image and the second motion posture image to generate a posture difference signal, and the calculation unit 31 can calculate the difference between the first electrocardiogram (ECG) sensing signal and the second ECG sensing signal to generate an ECG difference signal. The analysis unit 32 has a posture threshold value and an ECG threshold value. When the posture difference signal is greater than the posture threshold value and the ECG difference signal is greater than the ECG threshold value, the analysis unit 32 generates a warning message to alert the athlete to prevent secondary injury.

[0032] As shown in Figure 1, the terminal device 4 is connected to the analysis module 3. The terminal device 4 receives the evaluation results and warning messages generated by the analysis unit 32 and displays the evaluation results and warning messages for the athletes to view.

[0033] The cloud database 5 is connected to the terminal device 4. The cloud database 5 stores the evaluation results and warning messages generated by the analysis module 3 each time through the terminal device 4, for future reference to historical records.

[0034] The above describes the components and their connections in the post-injury motion monitoring system 100. Next, the monitoring method of the post-injury motion monitoring system 100, namely, a post-injury motion monitoring method S100, is introduced. This post-injury motion monitoring method S100 is an application of the aforementioned post-injury motion monitoring system 100, but the present invention is not limited thereto. As shown in Figure 2, the post-injury motion monitoring method S100 includes steps S101 to S111, and any one of these steps can be omitted or replaced with a reasonable variation depending on the designer's needs.

[0035] Step S101: Configure an imaging module to capture an athlete performing a movement before injury to generate a first motion posture image, and the imaging unit to capture an athlete performing a movement after injury to generate a second motion posture image.

[0036] Step S103: Configure an electrocardiogram (ECG) sensor to measure the athlete's heart state during the exercise before the injury and generate a first ECG sensing signal, and configure the ECG sensor to measure the athlete's heart state during the exercise after the injury and generate a second ECG sensing signal.

[0037] Step S105: A calculation unit of an analysis module receives a first motion posture image and a second motion posture image, and calculates the difference between the first motion posture image and the second motion posture image to generate an average posture difference; wherein, the calculation unit receives a first electrocardiogram (ECG) sensing signal and a second ECG sensing signal, and calculates the difference between the first ECG sensing signal and the second ECG sensing signal to generate an average ECG difference.

[0038] Step S107: Configure an analysis unit of the analysis module to receive the average posture difference and the average electrocardiogram difference. The analysis unit has multiple posture assessment intervals and multiple electrocardiogram assessment intervals. Each posture assessment interval corresponds to a different posture difference, and each electrocardiogram assessment interval corresponds to a different electrocardiogram difference. The analysis unit can obtain an assessment result based on the average posture difference falling into one of the multiple posture assessment intervals and the average electrocardiogram difference falling into one of the multiple electrocardiogram assessment intervals to assess the athlete's recovery status.

[0039] Step S109: Configure a terminal device to receive the evaluation results and warning messages generated by the analysis unit, and display the evaluation results and warning messages.

[0040] Step S111: Configure a cloud database to store the evaluation results and warning messages generated by the analysis module each time through the terminal device.

[0041] [Technical Effects of the Embodiments of the Invention]

[0042] In summary, the post-injury sports monitoring system and method disclosed in this invention utilizes a calculation unit to calculate the difference between a first sports posture image and a second sports posture image to generate an average posture difference, and a calculation unit to calculate the difference between a first electrocardiogram (ECG) sensing signal and a second ECG sensing signal to generate an average ECG difference. Furthermore, the analysis unit can determine an assessment result based on the average posture difference falling within one of multiple posture assessment intervals and the average ECG difference falling within one of multiple ECG assessment intervals to assess the athlete's recovery status. This enables the post-injury sports monitoring system to synchronously process image data and ECG data, achieving linked analysis of movement patterns and physiological responses. This not only bridges the gap between existing technologies in movement and physiological monitoring but also helps medical teams develop more precise and personalized exercise plans, improving athlete rehabilitation efficiency, shortening recovery time, and reducing the risk of secondary injury.

[0043] The content disclosed above is only a preferred and feasible embodiment of the present invention, and is not intended to limit the patent scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention specification and drawings are included within the patent scope of the present invention.

[0044] 100: Post-injury sports monitoring system 1: Image Capture Module 2: Electrocardiogram (ECG) sensor 3: Analysis Module 31: Computing Unit 32: Analysis Unit 4: Terminal device 5: Cloud-based database S100: Post-injury exercise monitoring methods S101~S111: Steps

Claims

1. A post-injury movement monitoring system, comprising: An imaging module captures an image of an athlete performing a movement before injury, generating a first motion posture image, and the imaging module captures an image of the athlete performing the movement after injury, generating a second motion posture image; an electrocardiogram (ECG) sensor measures the heart state of the athlete during the movement before injury, generating a first ECG sensing signal, and the ECG sensor measures the heart state of the athlete during the movement after injury, generating a second ECG sensing signal. An analysis module, electrically coupled to the imaging module and the electrocardiogram (ECG) sensor, includes: a computing unit, electrically coupled to the imaging module and the ECG sensor, the computing unit receiving a first motion posture image and a second motion posture image, and calculating the difference between the first motion posture image and the second motion posture image to generate a posture average difference; wherein the computing unit receives a first ECG sensing signal and a second ECG sensing signal, and calculates the difference between the first ECG sensing signal and the second ECG sensing signal to generate an ECG average difference; and an analysis unit, electrically coupled to the computing unit, the analysis unit receiving the posture average difference and the ECG average difference, the analysis... The unit has multiple posture assessment intervals and multiple electrocardiogram (ECG) assessment intervals, each posture assessment interval corresponding to a different posture difference, and each ECG assessment interval corresponding to a different ECG difference. The analysis unit can determine an assessment result based on the average posture difference falling within one of the multiple posture assessment intervals and the average ECG difference falling within one of the multiple ECG assessment intervals to assess the athlete's recovery status. A terminal device is connected to the analysis module, receiving the assessment result and the warning message generated by the analysis unit, and displaying the assessment result and the warning message.

2. The post-injury movement monitoring system as described in claim 1, wherein, The computing unit can calculate the difference between the first motion posture image and the second motion posture image to generate a posture difference signal, and the computing unit can calculate the difference between the first electrocardiogram (ECG) sensing signal and the second ECG sensing signal to generate an ECG difference signal; wherein, the analysis unit has a posture threshold value and an ECG threshold value; wherein, when the posture difference signal is greater than the posture threshold value and the ECG difference signal is greater than the ECG threshold value, the analysis unit generates a warning message to alert the athlete.

3. The post-injury motion monitoring system as described in claim 2 further includes a cloud database connected to the terminal device, wherein the cloud database stores the assessment results and warning messages generated by the analysis module each time through the terminal device.

4. The post-injury movement monitoring system as described in claim 1, wherein, The calculation unit calculates the difference between the athlete's limb joint angles in the first motion posture image and the athlete's limb joint angles in the second motion posture image to generate the average posture difference.

5. The post-injury movement monitoring system as described in claim 1, wherein, The electrocardiogram sensing signal includes a heart rate and a heart rate variability (HRV).

6. A method for post-injury motion monitoring, applied to a post-injury motion monitoring system, the method comprising the following steps: An imaging module is configured to capture an image of an athlete performing a movement before injury, generating a first motion posture image; the imaging module also captures an image of the athlete performing the movement after injury, generating a second motion posture image. An electrocardiogram (ECG) sensor is configured to measure the athlete's cardiac state during the movement before injury, generating a first ECG signal; the ECG sensor also measures the athlete's cardiac state during the movement after injury, generating a second ECG signal. An analysis module includes a calculation unit that receives the first and second motion posture images and calculates the difference between them to generate a posture average difference; wherein the calculation unit receives the first and second ECG signals and calculates the difference between them to generate an ECG average difference. An analysis unit configured in the analysis module receives the average posture difference and the average electrocardiogram (ECG) difference. The analysis unit has multiple posture assessment intervals and multiple ECG assessment intervals, each posture assessment interval corresponding to a different posture difference, and each ECG assessment interval corresponding to a different ECG difference. The analysis unit can determine an assessment result based on the average posture difference falling within one of the multiple posture assessment intervals and the average ECG difference falling within one of the multiple ECG assessment intervals to assess the athlete's recovery status. A terminal device is configured to receive the assessment result and the warning message generated by the analysis unit and display the assessment result and the warning message.

7. The post-injury movement monitoring method as described in claim 6, wherein, The post-injury motion monitoring method further includes, in the step of configuring a computing unit, the following steps: calculating the difference between the first motion posture image and the second motion posture image to generate a posture difference signal, and the computing unit calculating the difference between the first electrocardiogram (ECG) sensing signal and the second ECG sensing signal to generate an ECG difference signal; wherein, the analysis unit has a posture threshold value and an ECG threshold value; wherein, when the posture difference signal is greater than the posture threshold value and the ECG difference signal is greater than the ECG threshold value, the analysis unit generates a warning message to alert the athlete.

8. The post-injury movement monitoring method as described in claim 7, wherein, The steps of the post-injury movement monitoring method further include: configuring a cloud database to store the evaluation results and warning messages generated by the analysis module each time through the terminal device.

Images