CN117918809A - Interactive heart rate variability analysis parameter model and index generation system - Google Patents
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Abstract
The invention relates to an interactive heart rate variability analysis parameter model, an index generating system and a customizable index and an index interval thereof according to parameter combination. The interactive heart rate variability analysis parameter model and index generation system comprises an input unit, a processing unit and a display unit. The input unit receives physiological data related to a degree of change in a heart rate. The processing unit is connected with the input unit. The processing unit executes an application program to generate an analysis parameter model with at least one median from the plurality of physiological data. The application calculates parameters from the physiological data, such as at least one of a standard deviation of the heartbeat Spacing (SDNN), a Low Frequency (LF), a High Frequency (HF), or an ultra-low frequency (VLF). The application program generates a plurality of indexes by using data of at least one of standard deviation of the heart beat distance, low frequency and high frequency ultralow frequency. Wherein, the analysis parameter model is physiological data established in a specific group. The display unit is connected with the processing unit to display the project indexes related to the parameters.
Description
[ Field of technology ]
The invention relates to the technical field of heart rate variability, in particular to an interactive heart rate variability analysis parameter model and an index generation system, which are used for assisting doctors (or specialists) in establishing analysis parameter models of different countries or different ethnicities and assisting the doctors (or specialists) in customizing the related index of autonomic nerves through clinical consultation.
[ Background Art ]
The modern people have overlarge living pressure, and the body can release excessive steroid and epinephrine due to long-term pressure accumulation, so that the autonomic nervous system (Autonomic nervous system, ANS) is injured, the sympathetic nerves and parasympathetic nerves in the system are unbalanced, and symptoms such as dizzy, chest distress, palpitation, headache, dysphoria, excessive tightening Zhang Jiaolv and the like appear, which are called as autonomic nerve imbalance in medicine; autonomic imbalance is a mental disorder which is a relatively mild symptom and is used for explaining the physical symptoms of the body by using physiological reasons, and according to the current medical definition, the autonomic imbalance is a mental disease with relatively mild symptoms, and according to the recent medical research, the European and American areas have about three times, and the taiwan has more than two times of population suffering from the autonomic imbalance, so that the current general term is 'subhealth'; sub-health refers to the fuzzy region between health and disease, which is a dynamic change that may develop into disease if left unattended and return to a healthy state if appropriate.
Conventionally, heart Rate Variability (HRV) is a method for measuring the degree of continuous heart rate variation, and HRV measurement is a common method for evaluating whether autonomic nerve functions are normal or not currently due to advantages such as non-invasiveness, rapidness and convenience. The measurement method is also widely used in the assessment of psychological or physiological stress, most often computationally as each heart cycle (HEART CYCLE) in an Electrocardiogram (ECG) can be divided into a sum of a plurality of waves, P, Q, R, S and T, another important feature of an electrocardiogram is the duration of the heart cycle, these are measured based on the length of the RR interval (i.e. the distance between consecutive R peaks) and are typically summarized by measuring the individual's heart (heart rate, HR) and variability variables into a set of columns, which are further calculated and analyzed; the current autonomic nerve detector used clinically is to analyze the state of autonomic nerve balance by using heart rate variability.
A method and apparatus for determining an exhausted index disclosed in the TW202211868A of taiwan patent publication mainly includes receiving physiological signals; generating a plurality of heart rate variability parameters based on the physiological signals; and determining the fatigue index based on the plurality of heart rate variability parameters, but only displaying the fatigue index, and not allowing the expert to customize the relevant parameters through the patent.
A measuring device and a measuring method for simultaneously checking a psychological stress index and checking blood pressure are disclosed in TWI670046B of Taiwan patent publication. When the measuring device enters a psychological pressure measuring mode, the pump unit carries out variable speed pressurization on the air bag unit, and when the pressure signal of the pressure sensing unit is determined to be a pulse signal, the microprocessor unit controls the pump unit to stop pressurization and measures the pulse signal so as to calculate a psychological pressure index; according to the psychological stress index, the ratio of the Standard Deviation (SDNN) of the normal and normal RR intervals to the root mean square deviation (RMSSD) of the continuous RR intervals is calculated according to the data of each pulse interval in a period of time, although the autonomic balance can be simply judged, the crowd data cannot be collected to generate analysis parameter models of all ages of the crowd, so that a testee can know the comparison condition of the testee with the same gender in the same age, for example, the SDNN of the testee is above or below the median.
In view of the above, the present invention provides an interactive heart rate variability analysis parametric model and an index generating system to solve the drawbacks of the prior art.
[ Invention ]
The first objective of the present invention is to provide an interactive heart rate variability analysis parameter model and index generation system, and an index and index interval thereof that can be customized according to parameters, wherein the heart rate variability analysis value is quantized according to physiological data of a specific group to build a parameter model and define related health indexes through an interactive interface. The specific group may be sub-health group, teenager, etc., without limitation. For the sub-health group, the sub-health group can be improved by the method, and the SDNN (Standard deviation of NN INTERVALS) generated in the long-time movement process of the sub-health group can be further improved; and, in the case of teenagers, the teenagers can find, for example, depression early and can achieve the preventive and therapeutic effects by the present invention.
To achieve the above and other objects, the present invention provides an interactive heart rate variability analysis parameter model and an index generating system; the interactive heart rate variability analysis parameter model and index generation system comprises an input unit, a processing unit and a display unit; the input unit receives physiological data related to a degree of change in a heart rate. The processing unit is connected with the input unit. The processing unit executes an application program to generate an analysis parameter model with at least one median from the physiological data and the application program calculates the parameters, such as at least one of a standard deviation of a heartbeat interval (SDNN), a Low Frequency (LF), a High Frequency (HF) or a Very Low Frequency (VLF), from the physiological data. The application program compares the data of at least one of the parameters to the median number of the analysis parameter model to generate a corresponding plurality of indicators. Wherein, the analysis parameter model is physiological data established in a specific group; the display unit is connected with the processing unit to display the project indexes related to the parameters.
The heart rate control device further comprises an acquisition unit connected with the input unit, wherein the acquisition unit is used for acquiring the physiological data of the heart, and the acquisition unit acquires the change degree of the heart rate in a preset time.
Further, wherein the degree of heart rate variation is obtained based on a heart rate variability analysis.
Further, the application program provides a plurality of analysis parameter models, the analysis parameter models have corresponding median, corresponding project indexes are generated according to at least one of the parameters, and the project indexes define index intervals of the project indexes through threshold values.
Furthermore, the application program further comprises a user interface, and the doctor can select a plurality of item indexes through the user interface, wherein the item indexes are at least one of heart condition, physical condition, mood stability, stress tension, physical fatigue and physical fatigue, stress accumulation, long-term stress, day-night sleep state, dreaminess and sleep depth, or the doctor can customize indexes and index intervals thereof according to parameter combination.
Further, the application program further comprises a custom index module for selecting one or more parameters to establish a custom index, and the custom index also provides a custom threshold value to define an index interval in the custom index.
The application program further comprises an adjusting module for adjusting the threshold value, and a warning module for generating a warning message when the parameters are different from the median after the application program compares the standard deviation of the heart beat distance, the parameters of the low frequency, the high frequency and the ultra-low frequency to analyze the median of the parameter model.
Compared with the prior art, the invention provides an interactive heart rate variability analysis parameter model and index generation system, and a customizable index and index interval thereof, which can enable an expert to collect heart rate variability of a specific crowd, define the median (excluding extreme values) of each parameter and further customize the index according to parameter combination.
The specific technology adopted by the present invention will be further described by the following examples and attached drawings.
[ Description of the drawings ]
FIG. 1 is a block diagram of an interactive heart rate variability analysis parametric model and index generation system according to an embodiment of the present invention.
FIG. 2 is a block diagram of an interactive heart rate variability analysis parametric model and index generation system according to another embodiment of the present invention.
FIG. 3 is a schematic diagram illustrating the thresholds of an interactive heart rate variability analysis parametric model and an index generation system according to another embodiment of the present invention.
Description of main reference numerals:
10. Interactive heart rate variability analysis parameter model and index generation system
12. Input unit
14. Processing unit
16. Display unit
18. Capturing unit
APP application
BD physiological data
MD median
AIM analysis parameter model
PT parameter
IDX project index
VL threshold value
UI user interface
M1 custom index module
M2 adjusting module
M3 warning module
SG specific population
[ Detailed description ] of the invention
Since the various aspects and embodiments are merely illustrative and not restrictive, other aspects and embodiments are possible by those of ordinary skill in the art after reading this disclosure without departing from the scope of the invention. The features and advantages of these embodiments will become more fully apparent from the following detailed description and appended claims.
Herein, "a" or "an" are used to describe the components and assemblies described herein. This is for convenience of description only and is not intended to provide a general sense of the scope of the invention. Thus, unless expressly stated otherwise, such description should be construed as including one or at least one and the singular also includes the plural.
As used herein, the terms "comprising," "having," or any other similar language are intended to cover a non-exclusive inclusion. For example, a component or structure that contains multiple elements is not limited to only those elements listed herein, but may include other elements not explicitly listed but inherent to such component or structure.
Referring to fig. 1, a block diagram of an interactive heart rate variability analysis parametric model and an index generation system according to an embodiment of the present invention is shown. In fig. 1, the interactive heart rate variability analysis parametric model and index generation system 10 comprises an input unit 12, a processing unit 14 and a display unit 16.
FIG. 2 is a block diagram of an interactive heart rate variability analysis parametric model and index generation system according to another embodiment of the present invention; the input unit 12 receives physiological data BD relating to a degree of change in the heart rate; the degree of change in heart rate is obtained by a method based on heart rate variability analysis.
In another embodiment, the input unit 12 may capture the physiological data BD of the heart from the subject through the capturing unit 18, for example, the capturing unit 18 may include an electrode pad, an amplifying circuit, a signal processing circuit, an analog-to-digital conversion circuit, etc., wherein the capturing unit 18 may obtain the myoelectric signal corresponding to the subject through the electrode pad; it should be noted that the degree of change of the heart rate may also be obtained based on a heart rate variability analysis method, for example, the heart rate variability analysis calculation method is mainly to analyze the time sequence of the heart beat and the heart beat interval obtained by electrocardiogram or pulse measurement, for example, by measuring the R peak in the electrocardiogram, by measuring the time interval between two R peaks, and then converting the time sequence of the heart beat interval into the frequency domain by using the discrete Fu Li transformation, so as to represent the time sequence of the heart beat interval in a manner of power spectral density or spectral distribution, while the spectral analysis of the general heart rate variability signal needs to use 200 to 500 continuous heart beat interval stable records, so that a a recording time is needed, for example, 2 minutes; the heart beat interval spectrum frequency appears below 1Hz and can find several peaks mainly in the range of 0 to 0.4 Hz.
The processing unit 14 is connected with the input unit 12; the processing unit 14 executes an application program APP to calculate the physiological data BD of each age of the specific group SG by removing the extreme values and generate an analysis parameter model AIM having at least one median MD. The application APP calculates a plurality of parameters from the physiological data BD, such as a standard deviation of heart beat pitch (SDNN), a Low Frequency (LF), a High Frequency (HF), or a Very Low Frequency (VLF) or a combination thereof, for example, a ratio of Low Frequency (LF) to High Frequency (HF) (LF/HF), a percentage of medium Low Frequency (LF) of High Frequency (HF) plus Low Frequency (LF) (lf%) and the like, wherein the standard deviation of heart beat pitch may represent a high or low frequency of the overall activity of the autonomic nerve in a clinical sense, the range of low frequency may represent the activity of the sympathetic nerve and the parasympathetic nerve in a clinical sense, the range of high frequency may represent the activity of the parasympathetic nerve in a clinical sense, the frequency used in the range of the frequency range of the ultralow frequency (HF) is +.0.04 Hz, and the ratio of Low Frequency (LF) to High Frequency (HF) may represent the activity of the autonomic nerve in a clinical sense; it should be noted that the number of the analysis parameter models AIM and the median MD may be one or more, the application APP may select one or more models from the analysis parameter models AIM, each analysis parameter model AIM has a corresponding median MD, and the median MD may be different according to the parameters PT; here, the analysis parameter model AIM is constructed based on physiological data BD of a specific group SG, wherein the specific group SG may be 100 athletes, 50 elderly people over 65 years old, 20 young and old 30 to 50 years old, 30 pupil, etc., for example, using LF of 50 18 year old men, the analysis parameter model AIM is generated by an expert according to his clinical diagnosis and after removing extreme value calculation through a user interface UI to help the doctor to generate these 18 year old men, wherein the most important is the median MD.
In another embodiment, the processing unit 14 executes the application APP to generate the corresponding item index IDX and the index interval thereof according to the analysis parameter model AIM by comparing at least one of the parameters PT, the doctor can select the individual or multiple item indexes IDX or the custom index M1 and the index interval thereof by using the user interface UI, for example, the item index IDX can be at least one of heart condition, physical condition, mood stability, stress tension, mental fatigue and physical fatigue, stress accumulation, long-term pressure, day and night sleep state, dreaminess and sleep depth, or the doctor can combine the custom index and the index interval thereof according to the parameters; the term index IDX defines an index section thereof in the term index IDX through the threshold VL, and is described in a situation that the "heart condition" of one of the term indexes IDX adopts the standard deviation of heart beat pitch (SDNN), and if the median of the analysis parameter model AIM is defined as "normal", more than about 10 percentages above the median MD may be displayed as "restlessness" on the threshold VL, and less than about 10 percentages below the median MD may be displayed as "heart ash cool" on the threshold VL.
In another embodiment, the application APP further includes a custom index module M1, which selects one or more parameters PT to create a custom index M1, and the custom index module M1 also provides a custom threshold to define its index interval at the custom index, and the doctor can customize the index and index interval with the user interface UI, for example, set the custom index as "heart condition" at the custom index module M1, and select a standard deviation of heart beat pitch (SDNN) from the parameters PT, and if the median of the analysis parameter model AIM is defined as "normal", more than about 15 percentages above the median MD can be set to display "irritability" at the custom threshold VL, and less than about 15 percentages below the median MD can be set to display "heart rate cold" at the custom threshold VL.
In another embodiment, the application APP further includes an adjustment module M2 for adjusting the threshold VL, and a warning module M3, where the warning module M3 generates a warning message when the parameters are different from the median MD of the analysis parameter model AIM after the application APP compares the standard deviation of the heartbeat interval, the parameters of low frequency, high frequency or ultra low frequency with the median MD.
The display unit 16 is connected to the processing unit 14 for displaying the item indicators IDX related to the parameters PT.
Referring to fig. 3, a schematic diagram of a threshold VL of an interactive heart rate variability analysis parametric model and an index generating system according to an embodiment of the present invention is shown, wherein the threshold VL may be schematically represented, for example, as a sector, a circle, a triangle, etc., and may distinguish the index regions defined by the index IDX, for example, "heart condition" is the index IDX of the item, and when the threshold VL shows "vexation and irritability", the index is located in the red region.
In another embodiment, the standard deviation of the heart beat Spacing (SDNN) of a young man is 53.2, the lower part thereof is a multiple of the SDNN of the young man and the specific group, such as 1.95, and the item index IDX and the threshold VL are displayed on the display unit 16, such as the threshold VL is "normal range" when the "heart condition" of the item index IDX, the pointer is in the blue segment.
The above embodiments are merely auxiliary illustrations in nature and are not intended to limit the application or uses of the embodiment or embodiments of the application target. Furthermore, while at least one exemplary embodiment has been presented in the foregoing description, it should be appreciated that a vast number of variations exist for the invention. It should also be appreciated that the embodiments described herein are not intended to limit the scope, applicability, or configuration of the claimed subject matter in any way. Rather, the foregoing embodiments will provide those skilled in the art with a convenient road map for implementing the described embodiment or embodiments. Furthermore, various changes may be made in the function and arrangement of elements without departing from the scope defined by the claims, which includes known equivalents and all foreseeable equivalents at the time of filing this patent application.
Claims (10)
1. An interactive heart rate variability analysis parametric model and index generation system, comprising:
An input unit that receives physiological data related to a degree of change in a heart rate;
The processing unit is connected with the input unit, and executes an application program to calculate physiological data of each age of a specific group and generate an analysis parameter model with at least one median, wherein the application program calculates a plurality of parameters such as at least one of standard deviation of heart beat distance, low frequency and high frequency, ultralow frequency or combination from the physiological data, and the application program assists an expert to compare the parameters of at least one of standard deviation of heart beat distance, low frequency, high frequency and ultralow frequency with the median of the analysis parameter model to generate a plurality of corresponding indexes and index intervals thereof, and the analysis parameter model is the physiological data established in the specific group; and
And the display unit is connected with the processing unit to display the project indexes related to the parameters.
2. The interactive heart rate variability analysis parametric model and index generation system according to claim 1, further comprising an acquisition unit connected to the input unit, the acquisition unit being configured to acquire the physiological data of the heart.
3. The interactive heart rate variability analysis parametric model and index generation system according to claim 2, wherein the capturing unit obtains the degree of the heart rate variability within a predetermined time.
4. The interactive heart rate variability analysis parametric model and index generation system according to claim 1 or 2, wherein the degree of heart rate variability is obtained based on a heart rate variability analysis method.
5. The interactive heart rate variability analysis parametric model and index generation system of claim 1, wherein the application provides a plurality of the analysis parametric models, and the plurality of analysis parametric models have respective medians.
6. The interactive heart rate variability analysis parameter model and index generation system according to claim 1, wherein the processing unit executes the application program to cause the analysis parameter to generate the corresponding project index according to at least one of the plurality of parameters, and the project index defines the index interval between the plurality of project indexes by a threshold value.
7. The interactive heart rate variability analysis parameter model and index generation system according to claim 6, wherein the application further comprises a user interface through which a physician can select individual or multiple project indices, and wherein the physician can combine custom indices and their index intervals according to parameters, and wherein the project indices are at least one of heart condition, physical condition, mood stability, stress tension, mental fatigue and physical fatigue, stress accumulation, long-term stress, day and night sleep state, dream quality and sleep level.
8. The interactive heart rate variability analysis parameter model and metric generation system according to claim 6, wherein the application further comprises a custom metric module that selects one or more of the plurality of parameters to establish a custom metric, and wherein the custom metric also provides a custom threshold to define its metric interval at the custom metric.
9. The interactive heart rate variability analysis parameter model and indicator generation system of claim 6 or 8, wherein the application further comprises an adjustment module to adjust the threshold.
10. The interactive heart rate variability analysis parametric model and index generation system according to claim 1, wherein the application further comprises a warning module, the warning module generating a warning message when the parameters of the heart beat pitch standard deviation, the low frequency, the high frequency, and the ultra low frequency are different from the median of the analysis parametric model after the application compares the parameters with the median.
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