Anxiety level evaluation method based on heart rate and respiratory rate variability

Abstract

The invention relates to the technical field of anxiety level evaluation, and discloses an anxiety level evaluation method based on heart rate and respiratory rate variability, which comprises the following steps: S1, data life information acquisition: firstly, a user wears a BBS sensing transmitter and statically sits for 10-15 minutes, real-time heart rate, respiratory wave, body position and body movement information is acquired during the period, and the data life information is acquired; acquiring basic physiological data; s2, physical exercise: the user performs physical exercise for 2-6 minutes; s3, performing still sitting again, performing data analysis through an AI algorithm after exercise, and generating an anxiety level report; and S4, carrying out comparison. The anxiety state detection rate is high, accuracy is high, use is convenient and fast, data can be monitored in real time, an anxiety level report can be formed, a user can conduct efficient and accurate datamation self-management on the health condition of the user, and the anxiety state evaluation system is an evaluation tool suitable for evaluating the mental and psychological state.

Description

Technical Field

[0001] The present invention relates to the technical field of anxiety level assessment, and in particular to an anxiety level assessment method based on heart rate and respiratory rate variability. Background Art

[0002] Purpose In clinical practice, there are many scales suitable for detecting patients' anxiety status, such as the Hamilton Anxiety Rating Scale (HAMA) and the Zung Self-Rating Anxiety Scale (SAS).

[0003] HAMA is a 14-item peer-assessed scale. In clinical practice, a score of 14 or more is the baseline cutoff value; a score of 29 or more is considered severe anxiety; a score of 21 or more is considered obvious anxiety; a score of 14 or more is considered definitely anxious; a score of 7 or more is considered possible anxiety; a score of less than 7 is considered no anxiety. SAS is a 20-item self-assessment scale with a 4-level score. In clinical practice, a score of 50 or more is considered anxiety, a score of 50 to 59 is considered mild anxiety, a score of 60 to 69 is moderate anxiety, and a score of 69 or more is considered severe anxiety.

[0004] However, the current methods cannot measure the anxiety levels of anxious people well, so as to make accurate diagnosis. Therefore, the HBRV anxiety level assessment method is introduced, which is mainly used for monitoring and analysis of various physical indicators to provide users with accurate data evaluation. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the shortcomings of the existing technology, the present invention provides an anxiety level assessment method based on heart rate and respiratory rate variability, which helps anxious people better assess their own anxiety levels and thus conduct accurate diagnosis and treatment. It is also used for monitoring and analysis of various physical indicators, providing users with accurate data evaluation and laying a solid foundation for precision treatment.

[0007] (II) Technical solution

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for evaluating anxiety level based on heart rate and respiratory rate variability comprises the following steps:

[0010] S1: Data life information collection, first the user wears the "BBS sensor transmitter" and sits quietly for 10-15 minutes, during which time the real-time heart rate, respiratory wave, body position, body movement information, and basic physiological data are obtained;

[0011] S2: physical exercise, users perform physical exercise for 2-6 minutes;

[0012] S3: Sit in meditation again after exercise, and analyze the data through AI algorithm to generate an anxiety level report;

[0013] S4: Compare and check the reports generated by the system. According to the physical recovery period prompted, carefully check the physical recovery daily report so as to make a scientific and objective assessment of your own anxiety level.

[0014] S5: Analysis and evaluation: HAMA other-rating psychological measurement form was used to diagnose anxiety patients, and then the positive and negative rates of SAS self-rating psychological measurement form in diagnosing anxiety patients were evaluated. Finally, the data detected by HBRV were compared with normal values ​​to obtain the prevalence rate, and Pearson correlation analysis was used to evaluate the correlation between different methods of detecting anxiety.

[0015] As a further solution of the present invention, the S1 includes a data life information collection layer, and the collected information includes electrocardiogram, respiratory wave, body position, posture, and body movement information.

[0016] Furthermore, the S1 includes an information collection module and an information upload module, and the information upload module uploads the information collected by the information collection module to the cloud server.

[0017] On the basis of the above-mentioned scheme, S3 includes an AI intelligent algorithm module, which performs data analysis. The analysis data mainly includes analysis of HRV values, heart rate, respiratory waves, body position, posture, and body movements to realize the anxiety level analysis function.

[0018] Furthermore, when collecting data in S1, the user's sleeping time, sleeping duration, age, weight, occupation, and blood oxygen information are first collected, and then sent to the mini program end through the sensor transmitter.

[0019] (III) Beneficial effects

[0020] Compared with the prior art, the present invention provides an anxiety level assessment method based on heart rate and respiratory rate variability, which has the following beneficial effects:

[0021] 1. The present invention has a high detection rate for anxiety states, high accuracy, is easy to use, and can monitor data in real time to form an anxiety level report, so that users can conduct efficient and accurate data-based self-management of their own health conditions. It is an evaluation tool suitable for evaluating mental and psychological states.

[0022] 2. Based on the traditional analysis of HRV, this method introduces respiratory variability and combines it with advanced AI intelligent algorithms to generate a specific and specific anxiety level report, allowing users to conduct efficient and scientific data management of their own health conditions. It is known that the HBRV anxiety level assessment method is more accurate, convenient, real-time and objective than the HAMA. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a schematic diagram of the steps of Example 1 of an anxiety level assessment method based on heart rate and respiratory rate variability proposed by the present invention;

[0024] Figure 2 A schematic diagram showing a comparison of the anxiety state detected by the HBRV anxiety level assessment method, the SAS self-assessment psychological measurement form and the HAMA other-assessment psychological measurement form according to Example 1 of an anxiety level assessment method based on heart rate and respiratory rate variability proposed by the present invention;

[0025] Figure 3 This is a schematic flow chart of the steps of Example 2 of a method for evaluating anxiety levels based on heart rate and respiratory rate variability proposed by the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0027] Example 1

[0028] From March to April 2023, 196 medical students from Xiangnan College were enrolled and tested with HAMA and SAS psychological assessment scales and HBRV life tide anxiety level assessment methods. Inclusion criteria: (1) age ≥ 18 years old; (2) able to independently complete the self-assessment form and cooperate with HBRV life tide sensor monitoring; (3) willing to participate in this study. Exclusion criteria: (1) those with a family history or personal history of mental illness; (2) patients with recent infectious diseases or fever; (3) those who exercise vigorously in a short period of time; (4) those with severe cognitive dysfunction; (5) those with other respiratory or digestive diseases; (6) those who are uncooperative during the examination.

[0029] After detailed explanation by the researchers, the SAS self-assessment psychological measurement form was completed by the students themselves. The HAMA peer-assessment psychological assessment form was completed by several Xiangnan College psychological counselors, and the HBRV life tide anxiety level measurement method was completed by the researchers who were familiar with this system.

[0030] Reference Figure 1-2 , a method for evaluating anxiety level based on heart rate and respiratory rate variability, comprising the following steps:

[0031] S1: Data life information collection, first the user wears the "BBS sensor transmitter" and sits quietly for 15 minutes, during which time the real-time heart rate, breathing wave, body position, body movement information, and basic physiological data are obtained;

[0032] S2: Physical exercise, users perform 2 minutes of physical exercise to promote balance and harmony between body and mind;

[0033] S3: Sit in meditation again after exercise, and analyze the data through AI algorithm to generate an anxiety level report;

[0034] S4: Compare and check the reports generated by the system. According to the physical recovery period prompted, carefully check the physical recovery daily report so as to make a scientific and objective assessment of your own anxiety level.

[0035] S5: Analysis and evaluation: HAMA other-rating psychological measurement form was used to diagnose anxiety patients, and then the positive and negative rates of SAS self-rating psychological measurement form in diagnosing anxiety patients were evaluated. Finally, the data detected by HBRV were compared with normal values ​​to obtain the prevalence rate, and Pearson correlation analysis was used to evaluate the correlation between different methods of detecting anxiety.

[0036] In this experiment, a total of 103 anxiety patients were detected by the HAMA peer-assessment scale, including 57 cases of mild anxiety, 33 cases of moderate anxiety, and 13 cases of severe anxiety. We used HAMA as the "gold standard" for assessing anxiety. The missed detection rates of students with moderate anxiety and severe anxiety detected by the SAS self-assessment scale were 51.6% and 46.2%, respectively; while the missed detection rates of students with moderate anxiety and severe anxiety detected by the HBRV system were only 6% and 2%, respectively. It can be seen that the detection results of the SAS self-assessment system are significantly lower than those of the HAMA peer-assessment system. At the same time, it also shows that there are relatively large problems with scales such as SAS: (1) The test results are highly subjective and cannot understand the real-time anxiety level in a short period of time, and cannot be used for accurate diagnosis and dynamic analysis; (2) Patients with severe conditions often refuse to be assessed or find it difficult to complete the scoring due to obvious hysteresis; (3) The test takers' perception of the score assessment cannot be guaranteed to be reasonable and correct. The detection rate of anxiety disorders by the HBRV system is not significantly different from the results of the HAMA self-assessment system, which is currently the most widely used system in the world. This shows that the HBRV assessment system can more accurately reflect the anxiety level than the SAS self-assessment system. The comparison table is as follows: Figure 2As shown in the table: # is the comparison of detection rates of 3 different scales, P<0.05; ※ is the comparison of HBRV detection rate with the other two groups, P<0.05.

[0037] The detection rate of anxiety in students by HAMA was 52.5% (103 / 196), which was not significantly different from that of HBRV (51.5%, 101 / 196); HAMA can well reflect the severity of anxiety state, while the proportion of anxiety levels at each level of HBRV was not significantly different from that of HAMA, indicating that HBRV has high accuracy. Moreover, HBRV can understand the real-time anxiety level in a short period of time and can be used for accurate diagnosis and dynamic analysis. As a peer-assessed scale, HAMA requires professionally trained psychological counselors to assess the comprehensive state of students in face-to-face interviews with students. The interview has high requirements for time and place, which greatly limits the application of HAMA peer-assessed psychological assessment scale in clinical work. At the same time, except for the 14th item, which requires observation of behavioral performance during the interview, all assessment items of HAMA are scored based on the subject's verbal description, and special emphasis is placed on the subject's subjective experience, which makes HAMA more subjective than HBRV. The HBRV anxiety level assessment method introduces respiratory variability based on the traditional HRV analysis, and combines it with advanced AI intelligent algorithms to generate a specific and specific anxiety level report, allowing users to conduct efficient and scientific data management of their health status. It can be seen that the HBRV anxiety level assessment method is more accurate, convenient, real-time and objective than HAMA.

[0038] Example 2

[0039] like Figure 3 As shown, a method for evaluating anxiety level based on heart rate and respiratory rate variability is different from Example 1 in that it includes the following steps:

[0040] S1: Data life information collection layer, users first obtain real-time heart rate, respiratory wave, body position, body movement and other information by wearing a "BBS sensor transmitter" and upload it to the cloud server;

[0041] S2: AI logic analysis layer, which performs data analysis through the server's AI algorithm. The analysis data mainly includes analysis of HRV values, heart rate, respiratory waves, body position, etc., to realize the anxiety level analysis function;

[0042] S3: Cloud database service layer, which feeds back anxiety level reports to the client and stores the data in the cloud so that users can view the data at any time.

[0043] In the description of this article, it should be noted that relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0044] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating anxiety level based on heart rate and respiratory rate variability, characterized in that: The following steps are involved: S1: Data life information collection, first the user wears the "BBS sensor transmitter" and sits quietly for 10-15 minutes, during which time the real-time heart rate, breathing wave, body position, body movement information, and basic physiological data are obtained; S2: physical exercise, users perform physical exercise for 2-6 minutes; S3: Sit in meditation again after exercise, and analyze the data through AI algorithm to generate an anxiety level report; S4: Compare and check the reports generated by the system. According to the physical recovery period prompted, carefully check the physical recovery daily report so as to make a scientific and objective assessment of your own anxiety level. S5: Analysis and evaluation: HAMA other-rating psychological measurement form was used to diagnose anxiety patients, and then the positive and negative rates of SAS self-rating psychological measurement form in diagnosing anxiety patients were evaluated. Finally, the data detected by HBRV were compared with normal values ​​to obtain the prevalence rate, and Pearson correlation analysis was used to evaluate the correlation between different methods of detecting anxiety.

2. The anxiety level evaluation method based on heart rate and respiratory rate variability according to claim 1, characterized in that: The S1 includes a data life information collection layer, and the collected information includes electrocardiogram, respiratory wave, body position, posture, and body movement information.

3. The anxiety level evaluation method based on heart rate and respiratory rate variability according to claim 1, characterized in that: The S1 includes an information collection module and an information upload module. The information upload module uploads the information collected by the information collection module to the cloud server.

4. The anxiety level evaluation method based on heart rate and respiratory rate variability according to claim 3, characterized in that: The S3 includes an AI intelligent algorithm module, which performs data analysis. The analyzed data mainly includes analysis of HRV values, heart rate, respiratory waves, body position, posture, and body movements to realize the anxiety level analysis function.

5. The anxiety level evaluation method based on heart rate and respiratory rate variability according to claim 2, characterized in that: When collecting data in S1, the user's sleeping time, sleeping duration, age, weight, occupation, and blood oxygen information are first collected, and then sent to the mini program end through the sensor transmitter.

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