A Physiological Monitoring and Analysis Method for Live-Ammunition Shooting

Abstract

The invention discloses a physiological monitoring and analysis method for live-fire shooting, comprising the following steps: S1: collecting physiological indicators and shooting scores of shooters during shooting training, and screening out excellent shooters and core physiological indicators according to the shooting scores; S2: acquiring core physiological indicator data of the excellent shooters, and constructing a core physiological indicator model of the excellent shooters based on the core physiological indicator data; S3: monitoring the core physiological indicators of the shooters during shooting, and judging whether the monitored core physiological indicators deviate from the core physiological indicator model of the excellent shooters, if so, reminding the shooters to stop shooting, and entering step S4; otherwise, entering step S5; S4: judging whether the core physiological indicators of the shooters who have stopped shooting are restored to meet the core physiological indicator model of the excellent shooters, if so, reminding the shooters to continue shooting; S5: repeating steps S3 and S4 until the shooting training is finished.

Description

Technical Field

[0001] The invention relates to the technical field of shooting training assistance, and in particular to a physiological monitoring and analysis method for live-fire shooting. Background Art

[0002] Changes in the shooter's psychological state have a very important impact on the performance of his shooting skills. The same shooter's shooting results are often very different in the "fluctuation period" and "comfort period" of his psychological state. Live-fire shooting is dangerous, and the recoil and noise produced can easily cause great psychological pressure on the shooter, which in turn causes fluctuations in psychological states and physiological reactions such as tension, excitement, irritability, and stress reactions. These psychological and physiological states change quickly, are highly concealed, and have a short effect time. It is difficult for coaches and shooters to fully and completely capture relevant information through observation alone, and it is even more difficult to scientifically and accurately describe and record the fluctuations in information in order to find the cause of shooting problems.

[0003] In the shooting training of the army, due to the large number of training groups and the great differences in skill foundation, coaches generally use accompanying observation, self-perception, image review and other methods to find problems in training movements, but do not have sufficient information on the shooter's psychological state. They use observation, speculation, estimation and other methods to verify the causes of training problems, but the root cause is not accurate, resulting in repeated shooting results and low training efficiency. There are also monitoring equipment for shooting psychology and physiological status applied to live-fire shooting training practice, monitoring and analyzing dozens of indicators such as shooter heart rate, blood pressure, respiration, skin electricity, attention, brain oxygen utilization, brain alertness, brain anxiety, brain fatigue, brain lateralization, brain shielding, brain stress resistance, etc., pursuing the diversification of the number of indicators, but not analyzing the logical confirmation relationship between the indicators based on the characteristics of live-fire shooting.

[0004] Therefore, it is a more scientific and effective method to effectively monitor the shooter's physiological state, determine the core physiological indicators, and establish a reasonable decision tree model to provide support for practical applications. Summary of the invention

[0005] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a physiological monitoring and analysis method for live-fire shooting, which is used to accurately and effectively analyze the core physiological indicators that have a great impact on shooting performance, and help shooters adjust their shooting status and improve their shooting performance based on the monitoring of core physiological indicators.

[0006] The present invention is achieved through the following technical solutions:

[0007] According to one aspect of the present invention, a method for physiological monitoring and analysis of live-fire shooting is provided, which specifically comprises the following steps:

[0008] Step S1: collecting the physiological indicators and shooting results of the shooters during shooting training, and screening out excellent shooters and core physiological indicators according to the shooting results; the physiological indicators include heart rate variability, blood pressure, respiration, skin electricity, muscle tension and brain fatigue, etc.;

[0009] Step S2: obtaining the core physiological index data of the excellent shooter, and constructing a core physiological index model of the excellent shooter based on the core physiological index data; the core physiological index data refers to the monitoring data obtained by monitoring each physiological index; when the excellent shooter and the core physiological index are screened out, constructing a core physiological index model of the excellent shooter based on the core physiological index of the excellent shooter, and the model is used to judge whether the shooter's physiological condition is suitable for shooting action in the subsequent shooting training process;

[0010] Step S3: monitoring the core physiological indicators of the shooter during shooting, and determining whether the monitored core physiological indicators deviate from the core physiological indicator model of an excellent shooter. If so, reminding the shooter to stop shooting and proceeding to step S4; otherwise, proceeding to step S5; when the shooter's core physiological indicators meet the core physiological indicator model of an excellent shooter, it indicates that the shooter's physiological state is suitable for shooting and can shoot; if the shooter's core physiological indicators deviate from the core physiological indicator model of an excellent shooter, it indicates that the shooter's physiological state is not suitable for continuing to shoot and needs to stop shooting and adjust the physiological state;

[0011] Step S4: determine whether the core physiological index of the shooter who stopped shooting has recovered to meet the core physiological index model of an excellent shooter. If so, remind the shooter to continue shooting. When the shooter's core physiological index meets the core physiological index model of a game shooter after adjustment, it means that the shooter's physiological state has been adjusted to a state suitable for shooting, and the shooter can continue shooting.

[0012] Step S5: Repeat steps S3 and S4 until the shooting training is finished. Based on the core physiological index model of excellent shooters, the shooter's physiological index before each shooting is monitored in real time to ensure that the shooter's physiological state is in a state suitable for shooting each time, thereby avoiding the shooter's shooting performance being affected by poor physiological state, thereby ensuring the shooter's training quality.

[0013] In the above technical scheme, the shooting scores and physiological indicators of all shooters are collected first, and excellent shooters and core physiological indicators are screened out; based on the core physiological indicator data of excellent shooters, a core physiological indicator model of excellent shooters is constructed; in subsequent training, it is only necessary to monitor the core physiological indicators of the shooters. When the core physiological indicators of the shooters deviate from the core physiological indicator model of excellent shooters, the shooters need to stop shooting and adjust their status before conducting shooting training, thereby ensuring that the shooters are in a better physiological state during the shooting training process, so as to improve the shooters' training effect.

[0014] Furthermore, the method for selecting excellent shooters in step S1 is: statistically analyzing the shooting scores of all shooters, and when the shooting score of a shooter is greater than a set threshold, the shooter is an excellent shooter. An excellent shooter refers to a shooter with outstanding shooting scores. In the military, there is usually a score standard for excellent shooters, which can be the shooter's absolute shooting score or the ranking of the shooter's score among all shooters. The excellent shooters selected based on these standards are more in line with the actual situation.

[0015] Furthermore, the screening method of the core physiological index in step S1 is: performing correlation analysis on the shooting performance of the shooter and the data of each physiological index, and determining the core physiological index according to the correlation coefficient obtained by the correlation analysis. When the shooter shoots, several physiological changes usually occur, but the monitoring of these physiological indexes often involves multiple monitoring devices, and these monitoring devices are usually worn on the shooter. If the shooter needs to wear all the monitoring devices during each training, it will affect the shooter's shooting action and increase the monitoring cost. Therefore, it is necessary to perform correlation analysis on each physiological index and the shooting performance to determine the physiological index with a greater correlation with the shooting performance, that is, the core physiological index; in the subsequent shooting training, only the core physiological index needs to be monitored, which reduces the impact of wearing monitoring equipment on the shooter and the monitoring cost.

[0016] Furthermore, in the steps S3 and S4, the shooter is reminded to stop shooting or continue shooting by voice reminder. The use of voice reminder to stop shooting or continue shooting facilitates the shooter to obtain prompt information. In this process, the shooter does not need to change the shooting action, which improves the efficiency of training.

[0017] Furthermore, the core physiological indicators are heart rate variability and muscle tension, and the heart rate variability includes TP monitoring value, HF monitoring value and LF monitoring value.

[0018] Furthermore, the core physiological index model of excellent shooters is:

[0019] (1) Heart rate variability monitoring value:

[0020] ①TP value (M±SD) ≥2878±1762ms2;

[0021] ②LF value (M±SD) ≥1693±2042ms2;

[0022] ③HF value (M±SD) ≥1785±1976ms2;

[0023] (2) The muscle tension monitoring value is less than or equal to 430g.

[0024] When the shooter's heart rate variability monitoring value meets conditions ①②③ at the same time, it means that the shooter's heart rate variability is at a level suitable for shooting. When the shooter's muscle tension monitoring value is less than or equal to 430g, it means that the shooter's muscle tension is at a level suitable for shooting. Only when the shooter's heart rate variability and muscle tension are both at levels suitable for shooting can the shooter continue shooting, otherwise he should stop shooting and adjust his status.

[0025] Furthermore, the core physiological index model of excellent shooters also includes:

[0026] (3) Heart rate variability rate of change:

[0027] ①The ratio of TP monitoring value to TP basic value is less than 750%;

[0028] ②The ratio of LF monitoring value to LF basic value is less than 860%;

[0029] ③The ratio of HF monitoring value to HF basic value is less than 1160%;

[0030] (4) Muscle tension change rate: The ratio of the muscle tension monitoring value to the basic muscle tension value is less than 1.35.

[0031] Due to the differences in individual basic values ​​of shooters, the basic physiological conditions of each shooter are different. Therefore, by calculating the ratio of the monitored value to the basic value, the changes in the core physiological indicators of the shooter during training can be truly reflected, making the model more accurate; when the core physiological indicator change rate is too large, it means that the shooter is not in a physiological state suitable for shooting, and it is necessary to stop shooting to restore the physiological indicator monitoring value to a physiological range suitable for shooting. When the shooter's heart rate responsiveness or heart rate responsiveness change rate meets the model requirements, it is considered that the shooter's heart rate variability is at a level suitable for shooting; when the shooter's muscle tension or muscle tension change rate meets the model requirements, it is considered that the shooter's muscle tension is at a level suitable for shooting.

[0032] Based on another aspect of the present invention, a live-fire shooting physiological monitoring and analysis system is provided, comprising a performance statistics module, a monitoring module, a data storage module, a data processing module and a feedback module; the performance statistics module is used for counting shooting performance, and transmitting the shooting performance to the data storage module for storage; the monitoring module is used for monitoring the physiological indicators of the shooter, and transmitting the physiological indicators to the data storage module for storage; the data processing module is used for screening excellent shooters and core physiological indicators based on the physiological indicators and shooting performance in the data storage module, and constructing a core physiological indicator model of an excellent shooter based on the core physiological indicators of the excellent shooter; the data processing module is also used for judging whether the core physiological indicators of the shooter deviate from the excellent core physiological indicator model, and generating a control command based on the judgment result; the feedback module is used for generating feedback information according to the control command, and feeding the feedback information back to the shooter.

[0033] In the above technical solution, the data processing module selects excellent shooters and core physiological indicators according to the shooting results counted by the performance statistics module and the physiological indicator data monitored by the monitoring module, and further constructs a core physiological indicator model of excellent shooters according to the core physiological indicators of excellent shooters; after the model is established, in the subsequent training process, the monitoring module only monitors the core physiological indicators of the shooter, and the processing module determines whether the shooter's physiological state deviates from the core physiological indicator model of excellent shooters according to the monitored core physiological indicator data, and controls the feedback module to generate feedback information to remind the shooter to adjust the physiological state when it is not suitable for shooting (when the core physiological indicators deviate from the model), thereby ensuring that the shooter is in a better physiological state every time he shoots.

[0034] Furthermore, the feedback module broadcasts the feedback information by voice, and the voice prompt makes it convenient for the shooter to obtain feedback information without changing his / her own body movements.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] (1) The present invention provides a physiological monitoring and analysis method for live-fire shooting. By collecting the shooting results and physiological indicators of shooters, excellent shooters are screened out according to the shooting results. At the same time, the correlation analysis between the shooter's results and the physiological indicator data is performed to determine the physiological indicators that have a greater impact on the shooting results, and these indicators are set as core physiological indicators; based on the core physiological indicator data of the excellent shooters, a core physiological indicator model of the excellent shooters is constructed; in subsequent training, only the core physiological indicators of the shooters need to be monitored. When the core physiological indicators of the shooters deviate from the core physiological indicator model of the excellent shooters, the shooters need to stop shooting and adjust their state before they can conduct shooting training, thereby ensuring that the shooters are in a better physiological state during the shooting training process, so as to improve the training effect of the shooters.

[0037] (2) The present invention provides a live-fire shooting physiological monitoring and analysis system, which uses a data processing module to build a core physiological index model of an excellent shooter. After the model is built, in the subsequent training process, the shooter only needs to wear a monitoring device for monitoring the core physiological indexes. The processing module determines whether the shooter's physiological state is suitable for shooting based on the monitored core physiological index data. If it is not suitable for shooting, the feedback module is controlled to generate feedback information to remind the shooter to adjust his physiological state, thereby ensuring that the shooter is in a good physiological state every time he shoots, thereby improving the shooter's shooting training effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a flow chart of a method according to an embodiment of the present invention;

[0039] Figure 2 is another method flow chart according to an embodiment of the present invention;

[0040] Figure 3 FIG. 4 is a schematic diagram of a system structure according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions of various embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0042] Example 1

[0043] like Figure 1 As shown, this embodiment provides a live-fire shooting physiological monitoring and analysis method, comprising the following steps:

[0044] S1: Collect the shooters’ physiological indicators and shooting performance during shooting training, and select excellent shooters and core physiological indicators based on their shooting performance;

[0045] The method for selecting excellent shooters is: statistically analyzing the shooting scores of all shooters, and when the shooting score of a shooter meets the set threshold, the shooter is identified as an excellent shooter. In this embodiment, the threshold is that the shooting score ranks in the top 5% of the shooting scores of all shooters;

[0046] The method for selecting the core physiological index is as follows: in this embodiment, the shooter's heart rate variability, blood pressure, respiration, skin electricity, muscle tension, brain fatigue and other physiological indexes are monitored, and the monitoring data of each physiological index is obtained based on the above physiological indexes, and the monitoring data of each physiological index is analyzed for correlation with the shooter's shooting performance. Finally, it is found that heart rate variability and muscle tension have the highest correlation with shooting performance, and heart rate variability and muscle tension are used as core indicators;

[0047] The specific method for correlation analysis between physiological indicators and shooting performance is as follows: taking blood pressure as an example, the blood pressure value and the corresponding shooting performance of the shooter are monitored every time he shoots during the shooting process, and the blood pressure value and shooting performance are respectively used as two variables, which are input into the analysis software to analyze the correlation between the blood pressure value and the shooting performance to obtain the correlation coefficient; the correlation coefficient between each physiological indicator and the shooting performance is obtained by the same method, and the correlation coefficients are compared, and the two corresponding physiological indicators with the highest correlation coefficients are taken as the core physiological indicators.

[0048] There are two main methods for analyzing heart rate variability: time domain analysis and frequency domain analysis. The time domain analysis method is relatively simple to calculate indicators, but its sensitivity is poor, which is not conducive to accurately analyzing the heart rate of the shooter in live-fire shooting. Existing frequency domain analysis is also called heart rate power spectrum analysis, which refers to converting the ECG signal into a digital signal through analog or digital conversion, and then performing a fast Fourier transform or maximum entropy spectrum estimation operation of the autoregressive model on the computer to decompose the signal into the sum of different amplitudes, frequencies and sine waves. This method can be run and feedback in a live-fire shooting environment in a timely manner. The main indicators of the frequency domain analysis method are: total power (TP), high frequency power (HF) and low frequency power (LF).

[0049] Muscle tension refers to the resistance generated by the stretching and relaxation of muscles in the opposite direction when a part of the body is moved. It reflects the tension of the muscles in a static and relaxed state. Motor muscle tension refers to the tension of muscles during exercise. It is an important factor in ensuring continuous and smooth muscle movement (without tremors, twitches, spasms, or stiffness). During live-fire shooting, the shooter's different nervous emotions cause different degrees of muscle tremors, spasms, or stiffness, which manifests as a significant increase in muscle tension. When performing rifle and pistol live-fire shooting, the shooter's biceps and deltoids play a key role in the gun-holding action. Therefore, spasm sensors can be set on the inside and outside of the shooter's upper arm to monitor muscle tension.

[0050] Combined with the live-fire shooting experiment, it was found that due to individual differences among shooters, different monitoring times and the influence of pre-training courses, the shooters were placed in a natural state before the live-fire shooting began, and the core physiological indicators were monitored for the first time as the basic values. The ratio of the monitored values ​​to the basic values ​​was used as the core physiological indicators.

[0051] S2: Obtain the core physiological index data of the excellent shooter, and construct the core physiological index model of the excellent shooter based on the core physiological index data; in this embodiment, the muscle tension monitoring value and heart rate variability monitoring value of the excellent shooter are used as core physiological indicators; considering individual differences, when constructing the model, it is also necessary to calculate the ratio of the monitoring value of the core physiological index of the excellent shooter to the basic value (the basic value is the physiological index value of the shooter in the non-training state), and obtain the heart rate variability change rate and muscle tension change rate. The model is specifically:

[0052] (1) Heart rate variability monitoring value:

[0053] ①TP value (M±SD) ≥2878±1762ms2;

[0054] ②LF value (M±SD) ≥1693±2042ms2;

[0055] ③HF value (M±SD)≥1785±1976ms2.

[0056] When the shooter's heart rate variability monitoring value meets the above three formulas, it means that the shooter's heart rate variability is at a level suitable for shooting.

[0057] (2) Muscle tension monitoring value is less than or equal to 430g. When the shooter's muscle tension monitoring value is less than or equal to 430g, it means that the shooter's muscle tension is at a level suitable for shooting.

[0058] (3) Heart rate variability rate of change:

[0059] ①The ratio of TP monitoring value to basic value is less than 750%,

[0060] ②The ratio of LF monitoring value to basic value is less than 860%,

[0061] ③The ratio of HF monitoring value to basic value is less than 1160%.

[0062] When the rate of change of a shooter's heart rate variability meets the above three formulas, it means that the shooter's heart rate variability is at a level suitable for shooting.

[0063] (4) Muscle tension change rate: The ratio of the muscle tension monitoring value to the basic value is less than 1.35. When the shooter's muscle tension change rate is less than 1.35, it means that the shooter's muscle tension meets the core physiological index model of excellent shooters, which means that the shooter's muscle tension is in a state suitable for shooting.

[0064] S3: monitoring the core physiological indicators of the shooter during shooting, and determining whether the monitored core physiological indicators deviate from the core physiological indicator model of an excellent shooter. If so, reminding the shooter to stop shooting and entering step S4; otherwise, entering step S5; when the shooter's heart rate variability or the heart rate variability change rate meets the model requirements, and the shooter's muscle tension or the muscle tension change rate meets the model requirements, it means that the shooter's physiological indicators are suitable for shooting; otherwise, it means that the shooter's core physiological indicators deviate from the core physiological indicator model of an excellent shooter, and the shooter is reminded to stop shooting;

[0065] S4: Determine whether the core physiological index of the shooter who has stopped shooting has recovered to a state that meets the core physiological index model of an excellent shooter. If so, remind the shooter to continue shooting. As the shooter stops shooting, his physiological index will gradually recover to a state that meets the core physiological index model of an excellent shooter, and then remind the shooter to continue shooting.

[0066] S5: Repeat steps S3 and S4 until the shooting training is completed.

[0067] Example 2

[0068] like Figure 2 As shown, this embodiment provides a live-fire shooting physiological monitoring and analysis method, comprising the following steps:

[0069] S1: Collect the physiological indicators and shooting performance of each shooter during shooting training, and screen out the core physiological indicators of each shooter based on the correlation between shooting performance and physiological indicators;

[0070] S2: According to the shooting results of the shooters, the excellent results of each shooter are screened out, where the excellent results refer to the top 5% of all the shooting results of the shooter, and a core physiological index model of the excellent results is constructed based on the core physiological indexes corresponding to the excellent results of the shooter;

[0071] S3: monitoring the shooter's core physiological index during shooting training. When the shooter's core physiological index monitoring value deviates from its excellent performance core physiological index model, remind the shooter to stop shooting and proceed to step S4; otherwise, proceed to step S5;

[0072] S4: Continuously monitor the shooter's core physiological indicators, and when the shooter's core physiological indicators return to the core physiological indicator model that meets the requirements of excellent performance, remind the shooter to continue shooting;

[0073] S5: Repeat steps S3 and S4 until the shooting training is completed.

[0074] Example 3

[0075] like Figure 3As shown, this embodiment provides a live-fire shooting physiological monitoring and analysis system, including a performance statistics module, a monitoring module, a data storage module, a data processing module and a feedback module;

[0076] The performance statistics module is used to count the shooting performance and transmit the shooting performance to the data storage module for storage. The performance statistics can be performed manually, and the shooting performance of each shot is counted in sequence, so that the shooting performance and the physiological index data monitored by the monitoring module correspond one by one;

[0077] The monitoring module is used to monitor the shooter's physiological indicators and transmit them to the data storage module for storage. Before building the model, it is necessary to monitor a number of common physiological indicators of the shooter; after the model is built, only the shooter's core physiological indicators need to be monitored, which reduces the number of monitoring devices and facilitates the shooter's shooting training;

[0078] The data processing module is used to select excellent shooters and core physiological indicators based on the physiological indicators and shooting performance in the data storage module, and to build a core physiological indicator model of excellent shooters based on the core physiological indicators of excellent shooters;

[0079] The data processing module is also used to determine whether the shooter's core physiological indicators deviate from the excellent core physiological indicator model, and generate a control command based on the judgment result. The control command controls whether the feedback module generates feedback information and the content of the generated feedback information;

[0080] The feedback module is used to generate feedback information according to the control command. In this embodiment, the content of the feedback information includes two prompts, namely "You are not suitable for continuing shooting now, please stop shooting and adjust your physiological state" and "Your physiological state has been adjusted to a state suitable for shooting, please continue shooting training". The above two types of feedback information are fed back to the shooter.

[0081] Preferably, the feedback module broadcasts the feedback information to the shooter via voice, so that the shooter can easily obtain the feedback information.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for physiological monitoring and analysis of live-fire shooting, characterized in that: The following steps are involved: S1: Collect the shooters’ physiological indicators and shooting performance during shooting training, and select excellent shooters and core physiological indicators based on their shooting performance; S2: Acquire core physiological index data of the excellent shooter, and construct a core physiological index model of the excellent shooter based on the core physiological index data; S3: monitoring the core physiological indicators of the shooter during shooting, and determining whether the monitored core physiological indicators deviate from the core physiological indicator model of an excellent shooter. If so, reminding the shooter to stop shooting, and proceeding to step S4; Otherwise, proceed to step S5; S4: determining whether the core physiological index of the shooter who has stopped shooting has recovered to a level consistent with the core physiological index model of an excellent shooter, and if so, reminding the shooter to continue shooting; S5: Repeat steps S3 and S4 until the shooting training is completed.

2. A method for physiological monitoring and analysis of live-fire shooting according to claim 1, characterized in that: The method for selecting excellent shooters in S1 is: statistically analyzing the shooting scores of all shooters, and when the shooting score of a shooter is greater than a set threshold, the shooter is an excellent shooter.

3. A method for physiological monitoring and analysis of live-fire shooting according to claim 1, characterized in that: The method for screening the core physiological index in S1 is: performing a correlation analysis between the shooter's shooting performance and each physiological index data, and determining the core physiological index according to the correlation coefficient obtained by the correlation analysis.

4. A method for physiological monitoring and analysis of live-fire shooting according to claim 1, characterized in that: In S3 and S4, a voice reminder is used to remind the shooter to stop shooting or continue shooting.

5. The method for physiological monitoring and analysis of live-fire shooting according to claim 1, characterized in that: The core physiological indicators are heart rate variability and muscle tension, and the heart rate variability includes TP monitoring value, HF monitoring value and LF monitoring value.

6. A method for physiological monitoring and analysis of live-fire shooting according to claim 5, characterized in that: The core physiological index model of excellent shooters is: (1) Heart rate variability monitoring value: ①TP value (M±SD) ≥ 2878±1762ms 2 ; ②LF value (M±SD) ≥1693±2042ms2; ③HF value (M±SD) ≥1785±1976ms2; (2) The muscle tension monitoring value is less than or equal to 430g.

7. A method for physiological monitoring and analysis of live-fire shooting according to claim 6, characterized in that: The core physiological index model of excellent shooters also includes: (3) Heart rate variability rate of change: ①The ratio of TP monitoring value to TP basic value is less than 750%; ②The ratio of LF monitoring value to LF basic value is less than 860%; ③The ratio of HF monitoring value to HF basic value is less than 1160%; (4) Muscle tension change rate: The ratio of the muscle tension monitoring value to the basic muscle tension value is less than 1.

35.

8. A live-fire shooting physiological monitoring and analysis system, used to implement the steps of a live-fire shooting physiological monitoring and analysis method as claimed in any one of claims 1 to 7, characterized in that: It includes a performance statistics module, a monitoring module, a data storage module, a data processing module and a feedback module; the performance statistics module is used to count shooting performance and transmit the shooting performance to the data storage module for storage; the monitoring module is used to monitor the physiological indicators of the shooter and transmit the physiological indicators to the data storage module for storage; the data processing module is used to screen excellent shooters and core physiological indicators based on the physiological indicators and shooting performance in the data storage module, and to build a core physiological indicator model of excellent shooters based on the core physiological indicators of excellent shooters; the data processing module is also used to judge whether the core physiological indicators of the shooter deviate from the excellent core physiological indicator model, and generate control commands based on the judgment result; The feedback module is used to generate feedback information according to the control command and feed the feedback information back to the shooter.

9. A live-fire shooting physiological monitoring and analysis system according to claim 8, characterized in that: The feedback module broadcasts the feedback information via voice.

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