WO2020006845A1 - Health reserve evaluation method, and device and application thereof - Google Patents

Abstract

A health reserve evaluation method, comprising: obtaining a human pulse signal, a heart sound signal, or an electrocardiosignal, and digitizing same; performing composite variable analysis of a health reserve value on data, and forming a monotonic function that reflects a health reserve state; performing qualitative and quantitative analysis on a health level of an individual on the basis of a statistical distribution of health reserve values of a group of people; and performing disease screening, health prediction, or exercise management on the basis of the health reserve value of the individual. Also disclosed is a related health reserve evaluation device.

Description

Health reserve assessment method, device and application Technical field

The invention relates to the field of health state assessment, and specifically relates to a health reserve assessment method, device and application thereof.

Background technique

Quantitative health management depends on the quantitative assessment of health reserves, and its applications are extremely widespread. For healthy people, they can maintain health, warn of accidents, and prompt consumption metabolic problems; for sub-healthy people, they can restore health, adjust lifestyle, increase life expectancy, and prompt consumption metabolic problems; for chronically ill people, they can improve health indicators and reduce Or avoid clinical treatment, suggesting the risk of cardiovascular and cerebrovascular accidents, and suggesting wasting metabolic problems; for heart disease patients, it is possible to evaluate the effectiveness of rehabilitation, establish a rehabilitation program, monitor changes in the condition, and reduce the risk of accidents; for cancer patients, it is possible to suggest early consumption Metabolic problems, assist in cancer grading, assist in formulating treatment plans, perform prognostic survival, evaluate rehabilitation effects, guide rehabilitation programs, and monitor the possibility of relapses.

At present, many large health industries such as health management, health maintenance, health guidance, disease early warning, health risk assessment, etc. that are commonly found in the market are blindly relying on legends, superstitions, habits, subjective judgments and other methods to obtain health information and to personal daily health Life style includes guidance and management of dietary methods such as medicated diet, daily exercise, and psychological counseling. Not only its health information is difficult to be accurate, but the effectiveness of health guidance is also difficult to evaluate. The large health industry, based in part on medical physiology indicators, relies on objective indicators such as physiological and biochemical indicators, imaging studies, and genomics. It is also difficult to achieve regular inspections due to their traumatic and potential risks. At the same time, although these indicators are objective, It is mainly used for the assessment of clinical disease states, and there is nothing that can be done to accurately assess the health status of social populations.

And currently, the publicly available technology related to health reserve can only be found in cardiac reserve assessment methods, such as the most common assessment of left ventricular ejection fraction, but it is only applicable to patients with heart failure with significantly reduced heart reserve. It is not found in people without heart failure. There are significant differences, and the measurement process requires the use of equipment such as Doppler ultrasound in the laboratory, while injecting dobutamine to increase cardiac output also has certain risks. Another method is the analysis of heart sound intensity, which uses the change trend of heart sound amplitude to indirectly evaluate the heart force reserve, which needs to be completed in a specific laboratory. The anti-interference ability is poor, it is easily affected by environmental noise and human activities, and it is difficult to promote application.

The current evaluation of the training dose is mainly based on the athlete's performance and complaints, and a rough estimate of the average heart rate + exercise time. It is impossible to accurately quantify excessive exercise, excessive fatigue, lack of sleep, poor eating, and disease status. Adjustment. For professional athletes, traumatic blood biochemical tests, such as blood lactate levels, serum creatine kinase, and blood urea, are harmful to the human body, not only the risk of infection, but also not suitable for repeated measurements.

However, at present, there are no publicly published non-invasive, dynamic, and quantitative techniques and methods for measuring and assessing human health reserve values and their variability.

Summary of the invention

This application aims to solve one of the above-mentioned technical problems to a certain extent. To this end, an object of the present invention is to provide a technology and means that can perform non-invasive, dynamic, and quantitative measurement analysis and assessment of health reserves, which can be used for Its dynamic changes provide quantitative descriptions of health reserve assessment methods, devices, and applications.

The technical scheme adopted by the present invention is:

The present invention provides a health reserve assessment method, which includes the following steps:

Obtain human pulse signal / heart sound signal / ECG signal and convert it into point process signal data;

Analyze the compound variable of the health reserve value by the point process signal data, and form a monotonic function reflecting the state of the health reserve;

According to the statistical distribution parameters of the population's health reserve value, qualitative and quantitative judgments of human health are performed.

Further, the step of performing composite variable analysis of the health reserve value of the point process signal data specifically includes performing composite variable analysis of the point process signal data in a time domain, a frequency domain, and a non-linear domain.

Further, the method further includes calculating a change degree of the health reserve according to a statistical distribution of the health reserve value obtained through measurement and calculation for multiple periods, so as to evaluate the activity of the individual's health status.

Further, according to the accumulated value of the health reserve and the time change rate of the activity degree, a change trend of an individual's health and life reserve and a health state at an expected time are judged.

Further, the method further includes transmitting the personal health reserve value to a health management expert system, and the health management expert system analyzes, evaluates, and manages the health of the personal health reserve value, the activity, and the accumulated data of the independent balance value through the Internet.

The invention also provides a health reserve assessment device, which includes:

A data acquisition unit, configured to perform steps to obtain a human pulse signal / heart sound signal / cardiac signal;

A data conversion unit, configured to convert the collected signals into point process signal data;

A data analysis unit, configured to perform the step of performing a composite variable analysis of the health reserve value of the point process signal data, and forming a monotonic function reflecting the state of the health reserve;

A health state evaluation unit, configured to perform a qualitative and quantitative determination of human health according to a statistical distribution parameter of a population's health reserve value;

The output end of the data acquisition unit is connected to the input end of the data conversion unit; the output end of the data conversion unit is connected to the input end of the data analysis unit; the output end of the data analysis unit is connected to all The input terminal of the health evaluation unit is described.

Further, the device further includes an instruction output unit, and an input terminal of the instruction output unit is connected to an output terminal of the health state assessment unit, and is configured to output sound, color, text, or An image to guide the user to follow the content in the indication output unit to change the corresponding behavior.

On the other hand, the present invention also provides an application of a health reserve assessment device in the assessment of health improvement, health deterioration, disease risk, and prognosis of health processes, which specifically include:

Accumulate and calculate the data of the health reserve value and activity and autonomic balance value calculated from the heart beat signal data according to the recording time to obtain the change trend and time change rate of the health reserve value and the time change rate of its activity. An assessment of health improvement, health deterioration, disease risk, and prognosis of the health process is performed based on the change trend and the time change rate.

And the application of a health reserve assessment device in exercise volume assessment includes:

Record the individual's health reserve value before and after exercise, and measure the time required for the health reserve value after exercise to return to the level before exercise; if the recovery time of the health reserve index is lower than the preset value, it is determined that the amount of exercise is insufficient; If the recovery time of the health reserve index is higher than the preset value, it is determined that the exercise training is excessive.

The application of a health reserve assessment device in health status assessment includes:

According to the measurement and calculation of the multi-period health reserve value and activity level, and the biological age distribution characteristics of the population according to the health reserve value and activity level, a corresponding healthy age description of the individual's health status is adopted, and The difference between age and biological age expresses its health status.

The beneficial effects of the present invention are:

The health reserve assessment method, device and application provided by the present invention obtain a monotonic function reflecting the state of the health reserve by acquiring the human pulse signal / heart sound signal / ECG signal, and performing data processing and analysis. The statistical distribution parameters of the health reserve value can be used for qualitative and quantitative determination of human health. It overcomes the shortcomings in the prior art of assessing human health reserve values and variability values by requiring invasive methods such as corresponding injury or surgery on the human body to obtain human body related parameter information, and achieves users' health under the condition that daily life is not disturbed The effect of the reserve value and its dynamic changes, which in turn guide and manage user health.

In addition, the heartbeat signal can be obtained through non-invasive methods, and individuals can be easily collected through wearable devices under the condition that daily life is not disturbed. It can be continuously monitored, and the long-term dynamic change trend can reflect small Change, through the big data analysis of the population, can achieve accurate guidance of personal health, and can early warning of many disease risks.

By analyzing statistical signals in the time domain, frequency domain, and nonlinear domain of the heart beat signal, and obtaining the health reserve value and its dynamic changes, it can be used in health assessment, exercise training and rehabilitation guidance, chronic metabolic disease management, Dynamic tracking of health status in areas such as early warning of cardiac accidents, cancer screening and staging, and survival prognosis estimation.

The health reserve assessment method of the present invention is simple and reliable, easy to implement, can be repeatedly measured and evaluated, and can be widely used for health assessment, health screening, health guidance, athlete screening and training, sports rehabilitation guidance, disease early warning, Many areas such as treatment dose and course adjustment, early detection of relapse and so on.

BRIEF DESCRIPTION OF THE DRAWINGS

The specific embodiments of the present invention are further described below with reference to the drawings:

FIG. 1 is a control flowchart of health reserve assessment according to an embodiment of the present invention;

FIG. 2 is a real-time heart rate trend graph in one embodiment of the present invention; FIG.

FIG. 3 is a schematic diagram of an analysis result of an individual based on different times of the day according to an embodiment of the present invention; FIG.

4 is a schematic diagram of a distribution of CRI with age according to an embodiment of the present invention;

5 is a schematic diagram of CRI numerical results based on different ages according to an embodiment of the present invention;

6 is a schematic diagram of a health reserve assessment system according to an embodiment of the present invention;

7 is a schematic diagram of a system according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of a system according to another embodiment of the present invention.

detailed description

It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

Existing studies have found that health reserves are affected by the following factors: overwork, lack of sleep, excessive exercise, poor diet, high blood sugar, high blood pressure, acute infections, sudden trauma, wasting disease, drug control or poisoning, etc. Health reserve function. At this time, at the level of health management, dietary prescriptions, exercise prescriptions, and sleep prescriptions should be adjusted in a timely manner. When the health reserve is increased, the exercise dose and dietary mix should be increased accordingly to further consolidate the rehabilitation effect. At the level of clinical diagnosis and treatment, measures such as pathological decompensation, infection prevention, wound healing, termination of consumption, detoxification and detoxification should be promptly corrected.

Throughout the process of quantitative health management, health reserves are dynamic and may change. Therefore, high-quality quantitative health management needs to adjust prescriptions and guide its behavior at any time according to the state of health reserve.

Based on this, the present invention provides a health reserve assessment method. Referring to FIG. 1, the method includes: the system converts the received human pulse signal or heart sound signal or electrocardiogram signal into point process signal data; the heart rate data is a typical point process The data is derived from the QRS peak extraction of the ECG waveform. The signals such as the ECG to be collected will obtain a series of discrete point sets based on the time distribution. The system will analyze the compound variables of the health reserve value of the above-mentioned point process signal data to form a Monotonic function reflecting the state of health reserve; the system makes qualitative and quantitative judgments of human health based on the statistical distribution parameters of the population's health reserve value.

The healthy reserve is the heart reserve, which is defined as the ability of the cardiac output CO to increase from rest to a maximum. CO is directly proportional to HR and it is controlled by the autonomic nerve. Therefore, the degree of heart rate variability also reflects CR and can be a candidate for quantitative estimation of CR. Multiple heart rate variability HRV parameters are affected by autonomic control, but the functional relationship and degree are different, and different interference factors have different degrees of influence on the parameters. Some of these parameters are closely related to sympathetic nerve activity and others are closely related to vagal nerve activity. Multivariate integrals are used to estimate the sympathetic and vagus nerve activities, respectively, to assess the state of autonomic function and accurately reflect the capacity of the healthy reserve (heart reserve).

Specifically, the ECG data acquisition uses, for example, a DiCare-mlCC type miniature electrocardiograph (Dimetek Digital Medical Technology., Ltd., Shenzhen, China). The signal bandwidth is set to 0.6-40 Hz, the sampling rate is 200 sps, and the sampling accuracy is 24 bits. The ECG recording time for age distribution analysis is 3 minutes, which usually contains about 200 heartbeats. Record the status as quiet sitting. Part of the recording time is up to 15 minutes. After wearing the ECG recording device, the user sits on the exercise bike and continuously records the ECG waveform, covering the whole process of pre-, post-, and post-exercise. Another part records different periods and different activity states from the same individual, such as resting state and exercise state, as well as different periods of each day, and is not limited to activities.

After the ECG data is collected, the R wave must be extracted to obtain the RRI time series. R-wave automatic extraction algorithms mainly include: threshold method, template matching method, wavelet transform method, neural network method, mathematical morphology algorithm, etc. In this solution, an adaptive QRS template construction algorithm based on Gaussian approximation is preferably used, and the R wave extraction is completed based on the template. Based on various analyses of the RRI time series, the subject's heart rate must be sinus heart rate. When subjects experience occasional missed or premature beats, singularities appear in the RRI time series. Therefore, these singularities must be eliminated before analysis to reduce the error impact on the analysis results. For the case of missed beat, you need to divide the abnormal RRI value by 2 and insert the same value; for the case of premature beat, you need to add the two abnormal RRI values as one value, and remove the original Outliers.

Among them, ECGAN software (Dimetek Digital Medical Tech., Ltd., Shenzhen, China) was used for data analysis, and the writing language was Visual C ++. In the data screening, records with obvious arrhythmia and records with excessive interference were excluded. For occasional premature ECG recordings, manually adjust the RR interval to reduce the error impact on the analysis results. Heart rate data is typical point process data, which is derived from the QRS peak extraction of ECG waveforms. The RR interval is used for HRV analysis of heart rate variability.

Among them, the heart rate variability HRV has multiple analysis parameters, including RR, HR, SDNN, ASDNN, RMSD, SD50, TP, LF, HF, and so on. In HRV frequency domain analysis, LF reflects sympathetic control tension and HF reflects vagal control tension. Usually, these two types of control are measured using a frequency domain analysis method, which is only suitable for a stable cycle process. Transient transient changes such as heart rate acceleration or deceleration tend to change, and the analysis effect becomes worse. At this time, there may be no stable periodic changes in sympathetic and vagal activities. Another method for assessing the slow and rapid changes in heart rate is to analyze the RR interval and its non-linear stroke RR interval standard deviation SD1 and diagonal RR interval standard deviation SD2 by a time domain method. Although this analysis is not sensitive to the non-steady state, it is greatly affected by the occasional RR interval beating. The frequency domain analysis parameters and time domain analysis parameters are used to calculate the slow heart rate change and the fast heart rate change at the same time, which can reduce the error, improve the stability of the analysis result, and reflect the state of plant nerve activity more objectively.

Among them, based on HRV time-domain analysis, applying mathematical statistical methods to statistical analysis of RRI sequences can obtain HRV time-domain parameters, including all normal sinus RRI Mean Mean RR, all normal sinus RRI standard deviation SDNN, and adjacent RRI. Difference in root mean square RMSSD and so on. The SDRR calculation formula is as follows:

N is the total number of samples.

Based on HRV frequency-domain analysis, frequency-domain analysis is power spectral density (PSD) analysis. Generally, the classical spectrum based on fast Fourier transform or the modern spectrum based on auto-regressive (AR) model It is estimated that the main indicators are total power (TP) (0 to 0.4 Hz), low frequency power (LF) (0.04 to 0.15 Hz), high frequency power (HF) (0.15 to 0.4 Hz), and standardized LF power (LF norm), standardized HF power (HFnorm) and the ratio of low frequency power to high frequency power (LF / HF) and other indicators.

For non-linear analysis, it is an analysis method based on the theory of aperiodic chaos mechanics, which mainly includes Poincaré scatter plots, detrending wave analysis, entropy analysis, and power law analysis. In this solution, two indicators of Poincaré scatter charts SD1 and SD2 are preferably used. The Poincaré scatter plot is a two-dimensional coordinate system with the horizontal axis being x and the vertical axis being y. The value on the axis represents the interval, and the value on the axis represents the interval immediately following it. Most researchers use the ellipse fitting method to analyze the Poincaré scatter plot and the SD1 and SD2 standard deviations of the RR interval per stroke. Its formula is:

among them,

Where N is the total number of samples.

Among them, using multivariate integrals to estimate the sympathetic and vagus nerve activity can more accurately and stably reflect the subject's sympathetic and vagus nerve activity. The state of sympathetic and vagal activity obtained through heart rate variability (HRV) analysis actually reflects the effectiveness of the autonomic nerve to control cardiac output and the ability of the heart's pumping output to change accordingly. According to the changing characteristics of these parameters, a monotonic function was developed, which can more accurately reflect the state of cardiac activity. The value of this function is CardiacReserveIndex (CRI). The system can evaluate the health status and disease risk of individuals by analyzing the CRI and its variability corresponding to the age of the population for personal health management and behavior guidance.

Further, the parameters used to calculate the health reserve index CRI include: total power TP (endpoint symbol P), low frequency power LF (endpoint symbol F), high frequency power HF (endpoint symbol M), and RR interval orthogonal standard deviation SD1 (Endpoint symbol V), RR interval standard deviation SDNN (endpoint symbol H), RR interval backcross standard deviation SD2 (endpoint symbol S), sympathetic nerve activity value SA and vagus nerve activity value VA; among them,

The health reserve index CRI is the vector sum of SA and VA:

The method further includes calculating a change degree of the health reserve according to the statistical distribution of the health reserve value obtained through measurement and calculation for multiple periods, so as to evaluate the activity of the individual's health status.

Based on the effect of exercise on the health reserve function:

It is found through experiments that, as shown in FIG. 2, it is a continuous real-time heart rate trend chart of a typical exercise bike before, during, and after exercise. 0.15-0.4Hz high-frequency HF activity is clearly visible before exercise. After starting the exercise, the HF component disappeared within 30 seconds, replaced by a smooth, unstable low-frequency component, while the heart rate increased significantly, reaching equilibrium after about 3.5 minutes of exercise. The HF component gradually recovered within 30 seconds after the exercise stopped, and returned to the value close to that before the exercise after 2 minutes. The analysis data of many people showed that the heart rate and its LF and HF components are different, the speed increases with exercise, and the recovery time of HF after exercise is also different.

Impact of individual status on CRI:

Among all the healthy people recorded, the daily activities of individuals significantly affect the CRI value of the heart reserve, and the analysis results recorded at different times will vary greatly. Referring to FIG. 3, as an example, it can be seen from the figure that the daytime activities (9: 00-11: 30) compared with night sleep (11: 00-7: 00) and noon break (11: 45-14: 00), CR Significantly larger, but also subject to change. During daytime activities, its value is small and the variability is also small. The individual heart reserve variability function is the standard deviation of the individual heart reserve value, and this example reaches 10.19. During night sleep, CRI showed a gradual and gradually changing trend, which is consistent with previous studies.

Impact of age on CRI:

The distribution of CRI with age is shown in Figure 4. Although there are obvious variations in CRI in each age group, the general trend is that the heart reserve function decreases with age, and its correlation coefficient is r = -0.545, and the distribution of men and women basically overlaps. It can be seen in the figure that both the minimum CRI and the maximum CRI decrease with age, and the CRI reduction in the young group is more significant.

The effect of age on CRI variability among individuals:

By dividing the data according to the age group of 15-24 years, 25-34 years, 35-44 years, 45-54 years, 55-64 years, 65-74 years, and 7584 years, the average CRI value is calculated and displayed as the age. The exact negative correlation is r = 0.974, which means that the average CRI decreases with age. Using this as the expected ECRI for the corresponding age, the ECRI for the specified age can be calculated. The standard deviation of ECRI, as an estimate of its degree of variation, also has a high negative correlation with age (r = -0.856), that is, the degree of variation of the heart reserve value decreases with age, and the results are shown in Table 1.

Table 1 Effect of age on CRI variability among individuals

The individual's own heart reserve value can also change at different periods. In the 12-hour recording data, the standard deviation of its variation reaches 10.19 (Figure 3). But compared to the expected SD value of 17.99 of the same age, it is significantly smaller. This result suggests that the changes in CRI caused by one's daily activities tend to be smaller than the differences in resting CRI between individuals.

According to the data in Table 1, ECRI is the expected normal value of CRI at the specified age, and the degree of variation determines the range of statistical normal values. Referring to Figure 5, measured by the expected standard deviation ESD, the 95% interval is about 2ESD. Above ECRI to ECRI + 2ESD is a supernormal range, and below ECRI to ECRI-2ESD is a subnormal range. Below ECRI-2ESD is a weak CRI range, and beyond ECRI + 2ESD is an unstable range.

This solution also includes transmitting the personal health reserve value to a health management expert system, and the health management expert system analyzes, evaluates, and manages the health of the cumulative data of the personal health reserve value, activity, and autonomous balance value via the Internet.

For example, for diabetic patients with stable conditions and no complications, data records of more than 1 hour are very helpful for accurate assessment of patients' health reserves and daily behavior. The data records are transmitted to the remote data analysis center via the Internet. The analysis center provides the results of the health reserve assessment to monitor the rehabilitation of the patient's health reserve capacity to the maximum extent, while making the operation of the patients the simplest and transparent. Patients need to rent / purchase life reserve analysis terminal equipment, record daily at a specified time period, and automatically upload data. Internet is required in the home environment. The remote data analysis center analyzes the data and gives an evaluation report, and forwards it to a health management expert. This method is characterized by sufficient data, accurate assessment, and accurate and effective health guidance.

The health reserve value, activity level, and autonomous balance value calculated according to the data from the heart beat signal are compared with the normal range of the crowd to determine the hyperactivity of yin and yang deficiency, the degree of physical fatigue, the speed of recovery after exercise, the judgment of rehabilitation effects, and cardiac accidents. Risk, cancer occurrence probability, cancer tissue staging, cancer survival, cancer recurrence probability.

The system also calculates the degree of change in the health reserve according to the statistical distribution of the health reserve value obtained through measurement and calculation over multiple periods, so as to evaluate the activity of the individual's health status. Activity was lower than one standard deviation of the average of the statistical distribution of the population, and was determined to be abnormal.

According to the accumulated value of the health reserve and the time change rate of the increase or decrease of the activity level, the change trend of the individual's health and life reserve, and the health state at the expected time are judged. The trend of a gradual increase in health reserve value and / or a gradual increase in activity is judged to be an improvement in health; the trend of a gradual decrease in health reserve value and / or a gradual decrease in activity is judged to be a deterioration in health.

As an application of this solution, such as a method for cancer screening, cancer treatment assessment and cancer prognosis assessment, and cancer recurrence risk assessment, which includes the health reserve value and activity calculated from the heart beat signal data, and The data of the autonomous balance value are accumulated and calculated according to the recorded time to obtain the change trend and time change rate of the health reserve value and the time change rate of its activity, and perform cancer patient screening according to the change trend and time change rate, Cancer treatment dose control, cancer development degree and prognosis evaluation, cancer rehabilitation effect evaluation, cancer recurrence risk evaluation.

Specifically, the occurrence of cancer can be detected and warned early through the trend of life reserve value, treatment and rehabilitation can be effectively guided by the change of life reserve, and cancer recurrence can be detected early by continuously monitoring the trend of life reserve.

1.Crowd screening and early detection of cancer

If there is a continuous decline in the value of life reserves for unknown reasons, a high degree of suspicion for wasting diseases, including cancer. This is because the rapid proliferation of cancer cells consumes a lot of nutrients in the body, which is manifested as impaired life reserve value. As the total number of cancer cells continues to increase, this consumption also increases accordingly, which is manifested in the continuous decrease in life reserve value. The total number of cancer cells is often directly proportional to the extent of their invasion of the body. Therefore, the degree of reduction in life reserve value can reflect the stage of cancer, which is consistent with the progress of TNM stage. Cancer TNM staging is based on cancer cell infiltration and metastasis: in situ T, lymphatic invasion N, and distant metastasis M. The larger the value, the later the development, the more the total number of cancer cells, the greater the destruction of surrounding tissues by cancer cells, and the worse the prognosis.

Illness can significantly reduce life reserve, such as acute infection, sudden trauma, wasting disease, drug control or poisoning. However, the dynamic curve of life reserve in these cases is significantly different from the dynamic curve caused by cancer cell proliferation. For example, acute infections and autoimmune diseases, life reserve value will drop sharply within a few days. Chronic metabolic diseases can also significantly reduce life reserve values, but the process is long and slow to change, reaching up to several years. Cancers with a high degree of malignancy usually have a steady decline in their life reserve value to a very low level within the range of 1-3 months, and also reflect the continuous progress of their clinical stage.

Although the dynamic change of life reserve value is not a highly specific and sensitive cancer screening method, the evaluation process is simple and non-invasive, and can be used repeatedly for a long time. It is not affected by missed diagnosis of histological examination and is not affected by imaging confirmation. Leukoplasia or nodules. In particular, it can be used as a valuable auxiliary test before the diagnosis of pathology is confirmed. If the test result is negative and the imaging indicates a occupying lesion, the result of the imaging test should be highly suspected; if the test is positive, the life reserve is The value can be used as an estimate of the non-traumatic invasion degree of cancer staging, and continuous monitoring should be performed at least as a diagnostic reference before treatment to assist in the development of a treatment plan.

2. Cancer patients undergoing radiotherapy and chemotherapy monitoring, curative effect evaluation, dose adjustment

During the course of cancer chemoradiotherapy, the patient's life reserve value continues to decrease every day, and the decline rate is faster than the cancer development rate. The analysis of the dynamic change trend of the patient's life reserve value can predict the patient's expected end date, and the treatment dose and treatment period must consider the patient's ability to bear. The expected end date can be used as an important reference to control the treatment dose and treatment period at Patient life tolerance. Therefore, during the course of chemoradiotherapy for cancer patients, the dynamic changes and trends of their life reserve values should be continuously monitored. This work is usually performed in medical institutions.

3.Rehabilitation management and relapse warning for cancer survivors

Cancer rehabilitation must be quantitatively and effectively managed from many aspects such as diet, health care, sports, psychology, etc., in order to help cancer patients overcome difficulties and restore health.

Most of the cancer patients' life reserve value after treatment is very low, and many people are close to the end of life. A feature of the restorer is that the life reserve is worth gradually increasing. Therefore, the effectiveness of the rehabilitation prescription and the survival expectation of the survivor can be verified by monitoring the dynamic change of the life reserve value.

Immediately after the treatment, the size of the life reserve value can directly reflect the patient's recent survival probability, which can be determined based on this:

1) Whether to accept rehabilitation membership; 2) What kind of rehabilitation plan to make; 3) What kind of rehabilitation equipment and medicines to provide; 4) Monitor the frequency of dynamic changes in life reserve.

During the entire cancer rehabilitation management process, dietary prescriptions, exercise prescriptions, psychological prescriptions, and health drug prescriptions should be adjusted dynamically, which should be based on objectively measured changes in life reserve values. If the life reserve value gradually increases, it means that the rehabilitation management plan is effective, and the dose should be maintained and adjusted accordingly. If the life reserve value does not change, it means that the rehabilitation management plan is ineffective or has not yet produced effects. Care should be taken to consider whether the rehabilitation prescription is correct. The value decreases continuously, suggesting that the rehabilitation management plan may be wrong, or the cancer cells have begun to proliferate, which needs to be immediately verified and processed.

On the other hand, cancer survivors generally show signs of over-aging, which is essentially due to the fact that the healthy age is far greater than the biological age. Through rehabilitation and health management, we can achieve age-reverse growth, which is as follows: objectively, the life reserve value recovers to a healthy range or even exceeds the age of peers, subjectively is energetic, thinks quickly and acts quickly, and externally looks at the biological age. Therefore, long-term continuous monitoring of the dynamic changes of life reserve and guidance of rehabilitation management and health management will effectively help to establish accurate rehabilitation prescriptions, track rehabilitation effects, correct rehabilitation deviations, and reflect the value of rehabilitation.

The risk of recurrence of cancer survivors is much higher than the incidence of cancer in the general population, which is more than 1/3, and gradually decreases with the extension of survival, but more than 1/6 of cancer survivors still relapse after 5 years. The dynamic and continuous decrease of life reserve value can prompt the rapid proliferation trend of cancer tissues. Therefore, long-term continuous life reserve value monitoring is the only sensitive, objective and effective way for all cancer survivors to detect abnormalities in the early stage.

As another application of this solution, a method for assessing insufficient or excessive exercise includes: a health reserve assessment device that separately records an individual's health reserve value before and after exercise, and measures the health reserve value after exercise to return to before exercise Time required for level. If the recovery time is too short, the amount of exercise is insufficient; if the recovery time is too long, the exercise training is excessive.

In sports rehabilitation and training, the most commonly used measurement parameter is heart rate. Although heart rate can be used as a reference indicator for exercise dose adjustment, in fact, because the information reflected by heart rate is too simple, general guidance on exercise dose is not a personalized exercise prescription. Many people exercise, or the training dose is insufficient, or feel Overworked and overworked. Therefore, heart rate is not an accurate exercise dose assessment indicator. Analysis of research data shows that exercise reduces the health reserve value and gradually recovers after stopping exercise, but some people's health reserve cannot be restored quickly, although the heart rate has been restored. It is generally believed that 15-30 minutes after exercise to return to the state before exercise is a suitable exercise dose for the general population, from the perspective of health reserve value, it appears to return to the level before exercise. If the health reserve value cannot be recovered within 2 hours after exercise, it indicates that the exercise dose is too large. Many factors, such as diet and sleep, reduce health reserves, affect tolerance to exercise doses, and speed of recovery. On the other hand, if the recovery is too fast, it indicates that the exercise dose is too small to achieve the best effect of exercise rehabilitation. As shown in Table 2 and Table 3.

Therefore, in the process of formulating exercise prescriptions, the recovery time of the health reserve value should be taken as an important reference index for adjusting the exercise dose.

Table 2 Reference table for the relationship between health reserve value and exercise dose

Health reserve value	Recommended exercise dose
<5.0	Trace
5.0-9.9	Small amount
10.0-19.9	medium
20.0-39.9	Massive
40.0-	athlete

Table 3.Recommended reference table for health reserve recovery time and exercise dose adjustment

Health reserve recovery time	Exercise dose adjustment recommendations
＞ 600m	Stop exercise
＞ 60m	Reduce exercise
30-60m	Regular exercise
＜ 30m	Increase exercise

As a third application of this solution, a method for evaluating a physical health state includes: calculating the health reserve value and activity obtained for multiple periods according to measurement calculations, and the population according to the health reserve The biological age distribution characteristics of the value and the activity degree describe the corresponding healthy age of the individual's health status, and express the health status by the difference between the healthy age and the biological age. According to the population statistics of health reserve value and active population, the health status of individuals is described correspondingly, and the difference between healthy age and biological age is used to express their health status: healthy people show that their healthy age reverses growth and is smaller than biological Age; non-healthy people show that their healthy age is older than biological age; end-of-life people show that their healthy age is close to the limit of life. This technology makes individuals more directional and motivated for health goals, easier to operate, and can understand their healthy age situation at any time.

Referring to FIG. 6, the present invention further provides a health reserve assessment device, which includes:

A data acquisition unit, configured to perform steps to obtain a human pulse signal / heart sound signal / cardiac signal;

A data conversion unit, configured to execute the step system to convert the received human pulse signal or heart sound signal or electrocardiogram signal into point process signal data;

A data analysis unit, configured to perform step-by-step systematic analysis of the compound variables of the health reserve value of the point process signal data, and form a monotonic function reflecting the state of the health reserve;

The health state evaluation unit is configured to perform a step system to make a qualitative and quantitative determination of human health according to a statistical distribution parameter of a population's health reserve value.

The device further includes an instruction output unit, and an input terminal of the instruction output unit is connected to an output terminal of the health state assessment unit, and is configured to output sound, color, text, or image when collecting a heart beat signal to guide a user to follow The instructions indicate a corresponding behavior change in the content of the output unit.

The data acquisition unit may be a heart beat signal acquisition unit, such as a heart rate monitor or a miniature electrocardiogram / heart sound monitoring unit or a miniature pulse recording unit.

Based on the prior art, when users want to know their own health status, they must go to a special hospital or institution to perform traumatic surgery and other operations, which are traumatic to the user ’s body and mind. Therefore, this solution also provides a health reserve detection system. By externally detecting the internal information of the human body, and processing and analyzing the data, the evaluation is performed so that users can know their current health status anytime, anywhere; further, based on the above evaluation results, the system provided by this solution can also give Corresponding guidance helps users to restore health reserves and improves user experience.

Specifically, referring to FIG. 7, the present invention also provides a health reserve detection system, including: a heart beat signal acquisition unit, a data conversion unit, a data processing unit (data analysis unit), and a health state assessment unit; the heart beat signal collection The output of the unit is connected to the input of the data conversion unit; the output of the data conversion unit is connected to the input of the data processing unit; the output of the data processing unit is connected to the input of the health evaluation unit connection.

The data processing unit may be a component having a processing function such as a microprocessor or a single-chip microcomputer. The heart beat signal acquisition unit is used to collect a human heart beat signal. Specifically, the heart beat signal acquisition unit is a heart rate monitor or a miniature electrocardiogram / heart sound. Monitoring unit or miniature pulse recording unit, used to collect human heart rate / ECG / heart sound signal or pulse beat signal, etc .; data conversion unit is used to convert human heart beat signal collected by heart beat signal acquisition unit into point process signal data, data The processing unit analyzes the compound variables of the health reserve value by the point process signal data and forms a monotonic function reflecting the health reserve status; then transmits the processed health reserve data to the health status assessment unit, and the health status assessment unit performs the above data Evaluation, such as judging the changes in personal health and life reserve and their expected health status over time, it performs quantitative health status analysis and evaluation of heart beat signals. The health state evaluation unit can perform calculation and evaluation through an existing health reserve (heart reserve) algorithm.

Further, the system further includes a result display unit, and an output end of the health status evaluation unit is connected to an input end of the result display unit for displaying the evaluation result so that the user can intuitively view it. It shows the current state of health and its trends, and provides advice and guidance on individual lifestyles and early warning of potential disease risks.

As an improvement to this technical solution, the system further includes a communication module, which is connected to the data processing unit and is used to implement remote data exchange. The system further includes: a remote health service unit and a health management expert system, the remote health service unit transmits personal health reserve data to the health management expert system through a communication module, and the health management expert system The health reserve data is analyzed and evaluated, and health guidance, health warning, health guidance, disease prompts, diagnosis and treatment recommendations, and health management recommendations are given. For example, the personal health reserve value output by the data processing unit is transmitted to the remote health service unit and the health management expert system through the communication module, and the health management expert system can accumulate the personal health reserve value and the active data of the active balance value through the Internet. Etc. for analysis and evaluation and health management.

For example, for diabetic patients with stable conditions and no complications, data records of more than 1 hour are very helpful for accurate assessment of patients' health reserves and daily behavior. The data records are transmitted to the health management expert system through the Internet. The health management expert system provides the results of the health reserve assessment to monitor the rehabilitation status of the patient's health reserve capacity to the greatest extent, while making the operation of the patients the simplest and transparent. Patients are recorded daily at a specified time period, and the data is automatically uploaded. The data is further processed and analyzed by the health management expert system and forwarded to the health management expert. This embodiment has the advantages of sufficient data, accurate evaluation, and accurate and effective health guidance.

Further, the system further includes a sound output unit, and an input end of the sound output unit is connected to an output end of the data processing unit for outputting sound to guide a user to adjust breathing according to the sound rhythm. It can be used to guide the subject's breathing, and the time and frequency of guiding the inhalation and its combination, the time and frequency of guiding the exhalation and its combination, the cycle time of the guiding breath, the sound rhythm and the sound effector can be adjusted separately. For example, while the heartbeat signal is being recorded, the sound output unit plays the sound content that guides breathing, and guides the subject to adjust the rate and rhythm of inspiration and expiration. Specifically, the sound output unit may be a speaker, an earphone, or a speaker, etc., which can output sound, and the specific form of the sound output unit is not limited herein.

Further, the system further includes a graphic display unit, and an input end of the graphic display unit is connected to an output end of the data processing unit for outputting an image to guide a user to follow the information displayed by the image to improve the corresponding health status. For example, when used to guide the subject's breathing, the time for guiding the inhalation, the time for guiding the exhalation, and the cycle time for guiding the breathing can be adjusted respectively. While the heartbeat signal is being recorded, the graphic display unit can dynamically display the animation content to guide the subject to adjust the rate and rhythm of inspiration and expiration.

Wherein, the result display unit, sound output unit, and graphic display unit of this embodiment may be integrated as an instruction output unit for outputting sound, color, text, or image when collecting a heart beat signal to guide the user to follow the instruction output The content in the unit changes accordingly.

This solution also provides a wearable device, which includes the health reserve assessment system / device; wherein the wearable device may be a smart bracelet, a smart watch, a smart necklace, or the like. All of them can realize the portable and convenient human health reserve value, real-time monitoring and management of human body related information.

Referring to FIG. 8, the health reserve evaluation system provided in this embodiment includes a heart beat signal acquisition unit, a point process signal data analysis unit, a health reserve value calculation unit, and a health state evaluation unit. The output end of the heart beat signal acquisition unit and The input of the point process signal data analysis unit is connected, the output of the point process signal data analysis unit is connected to the input of the health reserve value calculation unit, and the output of the health reserve value calculation unit is connected to the input of the health state evaluation unit.

The point process signal data analysis unit and the health reserve value calculation unit of this embodiment may be integrated into one unit. Specifically, it may be a microprocessor, a single-chip microcomputer, or other data processing unit.

The heart beat signal acquisition unit converts pulse beat signals or heart sound signals or ECG signals into point process signal data, and transmits the converted data to the point process data analysis unit to perform composite variable analysis of the health reserve value;

The point process data analysis unit performs time, frequency, and non-linear composite variable analysis on the point process signal data, and uses the analysis result for numerical analysis of health reserve;

The health reserve value calculation unit performs multivariate parameter analysis on two or more time, frequency, and nonlinear domain variable values to form a monotonic value that reflects the state of health reserve, and reflects the relative balance of sympathetic and vagus nerve activity. Negative monotonically varying autonomous balance values;

The health status evaluation unit performs normal or abnormal qualitative and quantitative judgments based on the statistical distribution parameters of the population's health reserve value. If the health reserve value is set to be lower than one standard deviation of the average value of the statistical distribution of the population, it is determined that the health status is abnormal.

It also includes a result display unit to display the results of the assessment and provide advice and guidance on individual lifestyles and early warning of potential disease risks.

Preferably, an instruction output unit is further provided. The instruction output unit is used to guide the breathing of the subject, and the time for guiding the inhalation, the time for guiding the exhalation, and the cycle time for guiding the breathing are adjustable respectively. While performing heartbeat signal recording as an assessment of health reserve, the output unit is instructed to dynamically display sound or animation content to guide the subject to adjust the rate and rhythm of inspiration and expiration.

The system also includes a sound output unit as described. The sound output unit is used to guide the subject's breathing, and the time and frequency of guiding the inhalation and its combination, the time and frequency of guiding the exhalation and its combination, the cycle time of the guiding breath, the sound rhythm and the sound effector are adjustable respectively. While recording the heartbeat signal, the sound output unit plays the sound content that guides breathing, and guides the subject to adjust the rate and rhythm of inspiration and expiration.

Preferably, a remote health service unit and a health management expert system are also provided. The remote health service unit transmits personal health reserve data to the health management expert system through a communication module, and the health management expert system The health reserve data is analyzed and evaluated, and health guidance, health warning, health guidance, disease prompts, diagnosis and treatment recommendations, and health management recommendations are given.

This embodiment overcomes the shortcomings of the prior art that must be performed in a specialized hospital or institution for traumatic surgery, and achieves the effect that users can understand their current health status anytime, anywhere, and improves the user experience. Convenient and safe, and beneficial to the physical and mental health of users.

As another embodiment, a health reserve assessment device for assessing a health state and a disease state includes:

1) Heart beat data acquisition unit, which converts pulse beat signals or heart sound signals or ECG signals into point process signal data, and transmits the converted data to the point process data analysis unit to perform composite variable analysis of the health reserve value;

2) a point process data conversion unit that converts the collected signals to obtain point process signal data;

3) a composite variable data analysis unit that performs composite analysis of the point process signal data in a time domain, a frequency domain, and a non-linear domain, and uses the analysis result for the health reserve numerical analysis;

4) The health reserve value calculation unit performs multivariate parameter analysis on two or more of the time domain, frequency domain, and non-linear domain variable values to form a monotonic value that reflects the state of health reserve, and reflects the sympathetic and vagus nerves. Autonomous equilibrium value of monotonic change of positive and negative relative equilibrium activity;

5) The health status evaluation unit performs normal or abnormal qualitative and quantitative judgments based on the statistical distribution parameters of the population's health reserve value. Health reserve values below one standard deviation of the average of the population's statistical distribution were judged as abnormal health status.

This program can quantitatively evaluate the health status and dynamic changes of healthy populations, sub-healthy populations, chronically ill populations, heart disease populations, and cancer populations, and correctly guide and quantitatively evaluate health management, health maintenance, disease early warning, and disease rehabilitation Etc. have great application value.

It uses a completely non-invasive data analysis method to obtain a comprehensive quantitative assessment of human health, can continuously acquire data in daily life, and can repeatedly and non-invasively monitor personal health status outside the laboratory of a medical institution, while also completely avoiding invasion Potential risks and operational complexity associated with formal inspections. It objectively reflects the changes in the health reserve and health activity of the subjects at different periods, and is used to guide healthy lifestyles, such as exercise volume and sleep time.

The personal health reserve big data obtained by the present invention can also be remotely transmitted to a health management expert system via the Internet, which provides individuals with professional health status assessment and health management guidance, and can be compared with the statistical distribution characteristics of the population to determine Yin and Yang deficiency inhibits hyperthyroidism, physical fatigue, recovery speed after exercise, judgment of rehabilitation effect, risk of cardiac accident, probability of cancer occurrence, cancer tissue staging, cancer survival period, and possibility of cancer recurrence.

The method for evaluating the health status and changes of the present invention is simple, reliable, and easy to implement. It can be repeatedly measured and evaluated. It can be widely used for health assessment, health screening, health guidance, athlete screening and training, and sports rehabilitation guidance for the general population. , Disease warning, treatment dose and course adjustment, early detection of relapse and many other fields.

The above is a detailed description of the preferred implementation of the present invention, but the present invention is not limited to the described embodiments. Those skilled in the art can make various equivalent deformations or replacements without departing from the spirit of the present invention. These equivalent modifications or replacements are all included in the scope defined by the claims of this application.

Claims (10)

1. A method for assessing health reserves, which comprises the following steps:

   Obtain human pulse signal / heart sound signal / ECG signal and convert it into point process signal data;

   Analyze the compound variable of the health reserve value by the point process signal data, and form a monotonic function reflecting the state of the health reserve;

   According to the statistical distribution parameters of the population's health reserve value, qualitative and quantitative judgments of human health are performed.
2. The health reserve assessment method according to claim 1, wherein the step of performing a composite variable analysis of the health reserve value of the point process signal data specifically comprises performing a time domain and a frequency domain on the point process signal data. Analysis of compound variables in nonlinear domain.
3. The health reserve assessment method according to claim 2, wherein the method further comprises calculating a change degree of the health reserve according to a statistical distribution of the health reserve value obtained through measurement and calculation for multiple periods to evaluate personal health Activeness of the state.
4. The health reserve assessment method according to claim 3, characterized in that: according to the accumulated value of the health reserve and the time change rate of the activity, a change trend of personal health and life reserve and a health state at an expected time are judged.
5. The health reserve assessment method according to claim 1 or 4, wherein the method further comprises transmitting the personal health reserve value to a health management expert system, and the health management expert system activates the personal health reserve value and activity through the Internet. The cumulative data of degree and autonomous balance value are analyzed and evaluated and health management.
6. A health reserve assessment device, comprising:

   A data acquisition unit, configured to perform steps to obtain a human pulse signal / heart sound signal / cardiac signal;

   A data conversion unit, configured to convert the collected signals into point process signal data;

   A data analysis unit, configured to perform the step of performing a composite variable analysis of the health reserve value of the point process signal data, and forming a monotonic function reflecting the state of the health reserve;

   A health state evaluation unit, configured to perform a qualitative and quantitative determination of human health according to a statistical distribution parameter of a population's health reserve value;

   The output end of the data acquisition unit is connected to the input end of the data conversion unit; the output end of the data conversion unit is connected to the input end of the data analysis unit; the output end of the data analysis unit is connected to all The input terminal of the health evaluation unit is described.
7. The health reserve evaluation device according to claim 6, wherein the device further comprises an instruction output unit, and an input terminal of the instruction output unit is connected to an output terminal of the health state evaluation unit for collecting a heart beat signal When being evaluated as a health reserve, sounds, colors, text, or images are output to guide the user to follow the content in the instruction output unit to change the corresponding behavior.
8. The application of the health reserve assessment device according to claim 6 or 7 in the assessment of health improvement, health deterioration, disease risk, and prognosis of health processes, specifically including:

   Accumulate and calculate the data of the health reserve value and activity and autonomic balance value calculated from the heart beat signal data according to the recording time to obtain the change trend and time change rate of the health reserve value and the time change rate of its activity. An assessment of health improvement, health deterioration, disease risk, and prognosis of the health process is performed based on the change trend and the time change rate.
9. The application of the health reserve assessment device according to claim 6 or 7 to exercise quantity evaluation, specifically comprising:

   Record the individual's health reserve value before and after exercise, and measure the time required for the health reserve value after exercise to return to the level before exercise; if the recovery time of the health reserve index is lower than the preset value, it is determined that the amount of exercise is insufficient; If the recovery time of the health reserve index is higher than the preset value, it is determined that the exercise training is excessive.
10. The application of the health reserve assessment device according to claim 6 or 7 in the health state assessment, specifically comprising:

    According to the measurement and calculation of the multi-period health reserve value and activity level, and the biological age distribution characteristics of the population according to the health reserve value and activity level, a corresponding healthy age description of the individual's health status is adopted, and The difference between age and biological age expresses its health status.

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