JP7525919B2 - HEALTH CONDITION DECISION SUPPORT DEVICE, HEALTH CONDITION DECISION SUPPORT METHOD, AND PROGRAM - Google Patents

Description

The present invention relates to a health condition judgment support device. More specifically, the present invention relates to a health condition judgment support device, a health condition judgment support method, and a program that function as a support tool for judges to judge a person's health condition with high accuracy by reflecting the vital signs, daily physical condition, and medical history of the subject, taking into account individual differences.

Patent Document 1 discloses a disease diagnosis device (hereinafter referred to as the "prior device") that records vital information including at least one piece of information selected from body temperature, oxygen saturation, pulse rate, pulse pressure, blood pressure, respiratory rate, and weight, together with information on the date of measurement, and also incorporates interview records and the like, and determines and displays whether or not a subject has a specific disease based on disease analysis flow information. Here, it is said that this disease analysis flow may be set using a method used in existing diagnoses, such as the elimination method, matrix method, score method, or branching method.

JP2017-131495A

However, in the prior art devices, vital information, which is one of the indicators for diagnosing illness, is supposed to include at least one piece of information selected from body temperature, oxygen saturation, pulse rate, pulse pressure, blood pressure, respiratory rate, and weight. However, even when looking at a single piece of vital information, there are complex factors involved in the background of such vital information, so it is possible that it may not contribute to accurate diagnosis of illness.

Let's consider this point using oxygen saturation as an example. The following answer is roughly given on the website of the Japan Respiratory Society.

A pulse oximeter is a device for measuring arterial blood oxygen saturation ( _SpO2 ) and pulse rate through the skin, and is measured by clamping a red light-emitting device (probe) between the finger. Oxygen taken in from the lungs binds to hemoglobin contained in red blood cells and is transported throughout the body. Oxygen saturation ( _SpO2 ) is a value measured through the skin (percutaneously) to determine what percentage of the hemoglobin contained in red blood cells flowing in the blood (arterial blood) transported from the heart to the entire body that is bound to oxygen. A light-receiving sensor in the probe detects the pulsating blood flow in the artery, and calculates and displays _SpO2 from the light absorption value. Note that arterial blood oxygen saturation (SpO2) through the skin is called percutaneous arterial blood oxygen saturation, and in this application it is referred to as "oxygen saturation."

As can be seen from the above, when using only a pulse oximeter, it is possible to measure oxygen saturation, but since the pulse oximeter itself is not designed for this purpose, it is not possible to see the correlation with pulse rate or blood pressure. Considering this point, detecting suspected reduced lung function when oxygen saturation is lower than the standard range presupposes that at least the blood pressure value is within the standard range. In other words, it cannot serve as a guideline for determining health conditions other than reduced lung function in the same patient.

Let's put it in a different situation. Consider a patient whose blood pressure is higher than the standard range, but whose pulse rate is within the standard range. If the oxygen saturation falls within the standard range, it can be determined that there is at least no problem with the health of the lungs. However, as mentioned above, it is not possible to determine on the spot whether the patient has high blood pressure. This makes it difficult to make a comprehensive and accurate health assessment. The objective of this invention is to improve this situation and increase the accuracy of health assessments.

On the other hand, when looking at health status assessment from a different perspective, it can be substituted for the assessment of the athletic ability status of athletes and patients undergoing rehabilitation (hereinafter referred to as "athletes, etc." as appropriate). In other words, by assessing the cardiopulmonary function and oxygen saturation of athletes, etc., it becomes possible to visualize the current state of the athletes, the things that need to be strengthened to improve their abilities, and the limits of strengthening. Making this a reality is an ancillary task of the present invention.

(Features of the invention described in claim 1)
The health condition judgment support device according to the invention of claim 1 (hereinafter referred to as "the device of claim 1") comprises: a data acquisition means for acquiring at least pulse rate or heart rate data HR, at least systolic blood pressure data BP, and oxygen saturation data SP of a subject;
the blood pressure reference range data BPs and the oxygen saturation reference range data SPs are stored in a state in which each of the pulse or heart rate reference range data HRs, blood pressure reference range data BPs and oxygen saturation reference range data SPs is divided into at least three predetermined reference range values; a predicted condition database in which each of the at least three reference range values of the pulse or heart rate reference range data HRs is associated with a reference range value divided into at least three levels of the blood pressure reference range data BPs, each of the at least three reference range values of the blood pressure reference range data BPs is associated with a reference range value divided into at least three levels of the oxygen saturation reference range data SPs, and a predicted health condition is stored in association with each of the at least three reference range values of the oxygen saturation reference range data SPs; a condition specifying means for specifying a predicted health state stored in the predicted condition database based on the pulse rate or heart rate data HR, at least systolic blood pressure value data BP and oxygen saturation data SP acquired by the data acquiring means; and a display means for displaying the predicted health state specified by the condition specifying means . The condition specifying means (1) specifies which stage of the reference range value of the pulse or heart rate data HRs corresponds to the pulse rate or heart rate data HRs, (2) specifies which stage of the reference range value of the blood pressure reference range data BPs corresponds to at least the systolic blood pressure value data BP at the specified stage of the reference range value of the pulse or heart rate reference range data HRs, (3) specifies which stage of the reference range value of the oxygen saturation data SPs corresponds to the oxygen saturation reference range data SPs at the specified stage of the reference range value of the blood pressure reference range data BPs, and (4) specifies a predicted health condition corresponding to the specified stage of the reference range value of the oxygen saturation reference range data SPs. It is preferable that the pulse or heart rate reference range data HRs, blood pressure reference range data BPs, and oxygen saturation reference range data SPs refer to reference values based on the presentations of the respective academic societies for pulse, blood pressure, and oxygen saturation, and the presentations of the Ministry of Health, Labor, and Welfare. These reference values may be changed according to subsequent surveys and research. In this specification, the term "at least systolic blood pressure data" is used because blood pressure generally refers to systolic blood pressure (the so-called "upper blood pressure"), but does not preclude the use of diastolic blood pressure data in addition to systolic blood pressure data.

According to the device of claim 1, the pulse rate or heart rate data HR, at least the systolic blood pressure value data BP, and the oxygen saturation data SP are compared with the pulse or heart rate reference range data HRs, blood pressure reference range data BPs, and oxygen saturation reference range data SPs stored in the reference range value database to determine which reference range value each belongs to, and the corresponding state is identified from among the predicted states stored in the predicted state pattern database according to the analysis pattern corresponding to the determination result. In other words, the pulse rate or heart rate data HR, at least the systolic blood pressure value data BP, or the oxygen saturation data SP are used as individual targets to identify the subject's health state, but rather these data are used in combination to identify the state with higher accuracy. The identified state is displayed on an external display means via a display means.

The present invention improves the situation in which it is difficult to perform comprehensive and accurate disease diagnosis, and can further increase the accuracy of health status assessment.

FIG. 2 is a schematic diagram showing a state in which the health condition determination assistance device is used. FIG. 1 is a block diagram showing a configuration of a health condition determination support device. FIG. 13 is a diagram showing the contents of a reference range value database. FIG. 13 is a diagram showing the contents of a predicted state database. FIG. 5 is a diagram showing the contents of a predicted state database (continuation of FIG. 4). 13 is a flowchart showing a procedure for determining a predicted health condition. FIG. 4 is a diagram showing a display on a display unit. FIG. 4 is a diagram showing a display on a display unit. FIG. 4 is a diagram showing a display on a display unit. FIG. 4 is a diagram showing a display on a display unit. FIG. 13 is a diagram showing a display (error display) on the display unit. FIG. 13 is a plan view of a health condition determination support device according to another embodiment. FIG. 13 is a diagram showing a usage pattern (marathon) of a subject. FIG. 13 is a diagram showing a usage mode (swimming) of a subject. FIG. 13 is a diagram showing the usage mode (rehabilitation) of a subject.

(General configuration of the health condition judgment support device)
The health condition judgment support device 1 to which the present invention is applied (hereinafter, simply referred to as the "support device 1") can be implemented as a general-purpose information processing device that incorporates the program according to the present invention. In addition, such an information processing device can be used as a medium for implementing the method according to the present invention. The support device 1 includes a calculation unit 3 composed of a CPU (Central Processing Unit) and the like, a storage unit 5 such as a RAM (Random Access Memory) that serves as a main working memory and a ROM (Read Only Memory) that stores a program 5a and the like, a display unit 7 such as a liquid crystal screen, a timer unit 8 for measuring the exercise time of an athlete and the load time of a rehabilitation patient, an input unit 9 such as a touch panel or a keyboard, a communication unit 11 for controlling communication with the Internet and the like, a reference range value DB 13, and a predicted state DB 15. The display unit 7 includes a visual display method such as a liquid crystal screen as described above, an auditory display method such as an alarm, and a tactile display method in which the device itself is vibrated.

Typical examples of information processing devices include general-purpose personal computers, tablet terminals, smartphones, and wearable terminals. As shown in FIG. 1, in this embodiment, a tablet terminal is used in which the display unit 7 also serves as the input unit 9 and can communicate with the Internet N via a communication unit 11 (FIG. 2). In addition, information processing devices may also include, for example, various health care devices, medical systems and nursing systems installed in hospitals and facilities, and a program to which the present invention is applied may be incorporated and used. Furthermore, the program to which the present invention is applied may be a cloud application that can be accessed by a user via the Internet or the like. In this specification, a person who is the target of support for health condition judgment using the support device 1 is called a "target person," and a person who operates the support device 1 is called an "operator."

The calculation unit 3 is provided with a data acquisition means 3a and a state determination means 3b. The data acquisition means 3a is for acquiring vital signs of the subject, such as pulse rate or heart rate data HR, at least systolic blood pressure data BP, and oxygen saturation data SP. In addition to these, it may be possible to acquire other vital signs, such as body temperature BT (Body Temperature) and level of consciousness. For ease of reading, hereinafter, oxygen saturation will simply be referred to as "oxygen saturation". As a result, the oxygen saturation data SP becomes "oxygen saturation data SP".

Heart rate data HR is acquired from the subject via the pulse rate/heart rate sensor 17 and the data acquisition means 3a. A pulse is a pulsation caused by blood pumped from the heart that appears as a pulsation in the arteries (obtained by palpation). Although it differs from a heart rate, which is the number of times the heart beats within a certain period of time (obtained by an electrocardiogram), in terms of what is measured, heart rate and pulse are almost the same. Therefore, although it is acceptable to selectively use either the pulse rate data or the heart rate data, the following explanation will focus on the heart rate data HR. Therefore, hereafter, the pulse rate/heart rate sensor 17 will be referred to as the heart rate sensor 17.

The following describes the reference ranges. It is difficult to determine the reference range values of not only the pulse or heart rate reference range data HRs, but also the blood pressure reference range data BPs and the oxygen saturation reference range data SPs because of individual differences, but the reference range values announced by each academic society can be used as a reference. It is important to note that the reference range values may differ depending on the academic society even for the same vital sign item, and may be revised after the fact even within the same academic society. However, since the reference range values presented by each academic society can be said to be statistical values for people considered to be healthy, it is possible to appropriately modify them based on this value while taking into account environmental differences and individual differences. In this embodiment, the reference range values are set in detail as described below. Note that the normal values proposed by each academic society at the time of filing this application are introduced for reference.

According to the Japan Society of Ningen Dock Assessment Classification (revised May 2, 2013) set forth by the Japan Society of Ningen Dock, the standard range for a pulse rate is between 45 and 85 beats per minute. In addition, the book "Heart Rate and Heart Disease" published by the Japan Heart Foundation states that the normal range for heart rate in adults is between 60 and 100.

Blood pressure is the pressure exerted by the blood flow from the heart against the inner walls of blood vessels, and is generated by the heart contracting and expanding. Blood pressure is determined by the amount of blood pushed out by the heart (cardiac output) and the degree of contraction and flexibility of the blood vessels (vascular resistance). Systolic blood pressure is the value when the heart contracts and the blood vessels are under the strongest pressure (upper blood pressure value), and is officially called systolic blood pressure. Diastolic blood pressure (also known as "lower blood pressure value") is the value of the pressure exerted on the blood vessels when the heart is expanding. When the heart is expanding, blood does not leave the heart, but the expanded aorta returns to its original state, and blood is slowly sent forward during this time. In other words, each time the heart contracts and expands, upper and lower blood pressures are created, and blood is sent smoothly throughout the body.

As a vital sign for the health condition judgment support of the present invention, either systolic blood pressure or diastolic blood pressure may be used, but since blood pressure generally refers to the former, the following explanation will be limited to systolic blood pressure values as appropriate. Systolic blood pressure value data BP is acquired by data acquisition means 3a via a blood pressure monitor 19 shown in FIG. 1. According to the "Explanatory booklet for the general public's 'Hypertension Treatment Guidelines 2019'" (October 25, 2019) published by the NPO Japan Society of Hypertension, it is described that if the examination room blood pressure measured in a hospital or the like exceeds 140 mmHg systolic and 90 mmHg diastolic (135 mmHg systolic and 85 mmHg diastolic blood pressure at home, hypertension is diagnosed. In addition, the Japan Society of Human Health Checkups, a public interest incorporated association, defines the standard range as 129 mmHg systolic blood pressure and 84 mmHg diastolic blood pressure.

The oxygen saturation data SP is acquired by the data acquisition means 3a using the pulse oximeter 21 shown in FIG. 1. The pulse oximeter 21 may also function as the pulse sensor 17. Oxygen saturation (SpO ₂ ) refers to the percentage of hemoglobin contained in red blood cells that is bound to oxygen, measured through the skin (percutaneously). According to the website of the Japan Respiratory Society, the standard value is generally 96-99%, and if it is below 90%, it may be that sufficient oxygen cannot be delivered to the organs of the body (respiratory failure), so appropriate measures are required. In addition, the Japan Respiratory Care and Rehabilitation Society's "Oxygen Therapy Manual" (revised on October 1, 2017) also states that the oxygen saturation of healthy people is generally 96-99%, and if it is 3-4% lower than usual, the presence of acute exacerbation should be suspected.

The measuring devices such as the pulse rate sensor 17, blood pressure monitor 19, and pulse oximeter 21 described above may be built into the support device 1, but in this embodiment, they are attached externally as shown in FIG. 1. For example, a general-purpose wireless communication technology such as Bluetooth (trademark) may be used to connect to the data acquisition means 3a via the communication unit 11. This method does not require wiring, making the area around the device neat and tidy, and making the support device 1 easier to carry and wear. However, this does not exclude a method of connecting each sensor to the communication unit via a wire. Furthermore, a method can be adopted in which the operator reads the values displayed by each measuring device and inputs them via the input unit 9, and this method allows the existing measuring devices to be used as is.

In this embodiment, an operator (not shown) who reads the values indicated by the pulse rate sensor 17, blood pressure monitor 19, and pulse oximeter 21 inputs data from a touch panel (input unit 9) of the support device 1 (tablet terminal) (FIG. 1). The input unit 9 displays an HR input section 25a, a BP input field 25b, an _SpO2 input field 25c, a measurement time input field 25d, a health condition display field 25e, a clear button 25f, and a judgement button 25g, which are displayed when the cloud-based program 5a according to the present invention is launched.

(Configuration of the reference range database)
The reference range value database 13 shown in Fig. 3 is a database that stores reference range values in a searchable manner. For each of the pulse, blood pressure, and oxygen saturation, the previously-described predetermined pulse or heart rate reference range data HRs, blood pressure reference range data BPs, and oxygen saturation reference range data SPs are stored so that they can be searched by the condition specifying means 3b. As described above, the pulse or heart rate reference range data HRs, blood pressure reference range data BPs, and oxygen saturation reference range data SPs each require at least three stages: the standard range itself presented by each academic society, and a range higher and lower than that, but in this embodiment, they are further subdivided to perform more detailed condition determination.

The reference ranges stored in the reference range value database 13 will be described with reference to Fig. 3. The heart rate reference range data HRs is stored in a state divided into a plurality of ranges (e.g., six ranges of 30-59 beats/min, 60-80 beats/min, 81-100 beats/min, 101-120 beats/min, 121-150 beats/min, and 151 or more) as indicated by the heart rate ranges 15a. Similarly, the blood pressure reference range data BPs is stored in a state divided into a plurality of blood pressure value ranges 15b (e.g., five ranges of 151 or more, 150-130, 129-120, 119-90, and 89-60) as indicated by the blood pressure value ranges 15b. Similarly, the oxygen saturation reference range data SPs (SpO ₂ ) is stored in a state where the oxygen saturation is divided into a plurality of ranges (for example, 96% or more, 95-90%, 89-80%, and 79% or less) as shown by the oxygen saturation range 15c.

(Predicted State Database Configuration)
2, 4 and 5. The predicted state database 15 stores searchable predicted states predicted according to a preset analysis pattern (described later) for the heart rate range 15a (heart rate reference range data HRs), blood pressure value range 15b (blood pressure reference range data BPs), and oxygen saturation range 15c (oxygen saturation reference range data SPs) stored in the reference range value database 13. The search is performed by the state identification means 3b.

(Analysis pattern)
6, the analysis pattern performed by the state specifying means 3b is made up of the following steps (1) to (4): (5) is a step performed by the display means (display unit) 7.
(1) Identifying which stage of the pulse or heart rate reference range data HRs the pulse or heart rate data HR corresponds to (S1).
(2) In the identified stage of the pulse or heart rate reference range data HRs, it is identified to which stage of the blood pressure reference range data BPs the at least systolic blood pressure value data BP corresponds (S3).
(3) In the identified stage of the blood pressure reference range data BPs, it is identified which stage of the oxygen saturation reference range data SPs the oxygen saturation data SP corresponds to (S5).
(4) A predicted health state corresponding to the stage of the identified oxygen saturation reference range data SPs is identified (S7).
The predicted health condition identified in S7 is displayed.

The reason for adopting the above analysis patterns (1) to (4) is that unless the heart functions as a pump (a heartbeat occurs), systolic blood pressure (which is the same as diastolic blood pressure) does not occur, and without systolic blood pressure, there is no blood flow (without expansion, there is no repetition), and without flow, oxygen cannot be transported, which is an analysis that follows the physiological chain, and this is why it can contribute to more appropriate identification of the condition.

An embodiment of a health condition judgment support using the support device 1 will be described with reference to Figs. 1, 4, 5 to 10. An operator (not shown) connects the support device 1 (tablet terminal) shown in Fig. 1 to the Internet N to access a cloud application. The display unit 7 of the support device 1 shown in Fig. 1 is ready for inputting various data. The display unit 7 displays an HR input section 25a, an SP input field 25b, an _SpO2 input field 25c, a measurement time display run 25d, a health condition display field 25e, a clear button 25f, and a search button 25g, which are displayed by starting a program 5a on the cloud according to the present invention. Now, the operator is inputting the vital signs of the subject P of Fig. 1 into the support device 1.

The operator who reads the heart rate data HR indicated by the heart rate sensor 17 touches the clear button 25f to clear the existing data, and then inputs the data into the HR input field 25a of the display unit 7. Specifically, when the operator touches the HR input field 25a with his/her finger, a menu of heart rate data HR divided into six levels (FIG. 7) is displayed, and by touching and selecting one of them (e.g., 101 to 120), the one is input into the HR input field 25a and the menu disappears at the same time. Next, the operator touches the BP input field 25b to display a menu of systolic blood pressure value data BP (FIG. 8), and selects the systolic blood pressure value data BP (e.g., 89 to 60) read from the sphygmomanometer 19 from the menu. The selected systolic blood pressure value data BP is displayed in the BP input field 25b (FIG. 9), and the menu disappears. Furthermore, the operator touches the SP input field 25c to display a menu of oxygen saturation data SP (FIG. 9). When the operator touches and selects oxygen saturation data SP (for example, 89-80), the selected oxygen saturation data SP is displayed in the SP input field 25c, and the menu disappears. This completes the input of three types of biodata values (Figure 10). Note that "5 minutes" displayed in the measurement time entry field 25d shown in Figure 10 is the result of measuring the subject's exercise time, etc. This measurement is started and ended by operating an operation button not shown.

After inputting the biodata values, the operator operates the judgment button 25g to cause the support device 1 to make a judgment. When the judgment button 25g is operated, the condition identification means 3b appropriately accesses the reference range value database 13 and the predicted condition database, and identifies the predicted condition of the input biodata according to the analysis pattern described above. The identified predicted condition is displayed in the health condition display field. In the biodata shown in Figure 10, the predicted condition of "decreased cardiopulmonary function or decreased circulating blood volume..." is determined, and the result is displayed on the display unit 7.

Another input example will be shown with reference to Figures 7 to 11. The operator inputs "30 to 59" in the HR input field 25a, "151 or more" in the BP input field 25b, and "89 to 80" in the SP input field 25c. When the operator operates the search button 25g, "Measurement error possible" is displayed in the health condition display field 25e (Figure 11). That is, an error was determined by the state determination means 3b (Figure 2). The reason for the error determination is that the combination of low heart rate data HR, high systolic blood pressure value data BP, and low oxygen saturation data SP is physiologically inconsistent. In other words, since the systolic blood pressure value data BP is high, it is thought that blood is being properly pumped up to the time when the oxygen saturation data SP is measured. If it were simply a problem of decreased lung function, the heart rate data HR should be high because more blood needs to be pumped, but this is not the case. Therefore, it is possible to assume that the measurement device is broken or that an incorrect attachment occurred.

As described above, by evaluating the biodata of heart rate data HR, systolic blood pressure data BP, and oxygen saturation data SP in the order listed above, a more appropriate condition can be identified. Although the health condition is ultimately determined by the doctor's judgment, this is an effective support tool as a preliminary step to reduce oversights and errors in judgment by doctors and other medical professionals.

(Modification of this embodiment)
The above-mentioned support device 1 is configured by a tablet terminal, but it can also be configured by a wearable support device 51 (FIG. 11). The support device 51 can be worn by a subject P who enjoys sports such as marathon running, jogging, and swimming while playing sports, so that the subject P can understand his/her health condition at that time (FIGS. 12 and 13). For the same reason, the support device 51 is also useful for a subject P who is undergoing rehabilitation to understand his/her health condition during the rehabilitation. It is preferable to provide a timer unit in the support device 1. This is because it is convenient to use this as a stopwatch. A preferable support device 51 is provided with a vibrator function as a display means.

The above-mentioned health condition can be understood by, for example, comparing the health condition before the start of sports with the health condition after a certain time has passed, to grasp the points that the subject should strengthen. For example, if the health condition of the subject immediately after running 5 kilometers is compared with that before running, and the increase in the heart rate data HR and the systolic blood pressure value data BP remains relatively small and there is no decrease in the oxygen saturation data SP, it is understood that the subject's cardiopulmonary function is extremely normal and suitable for running. In that case, it is assumed that in order to shorten the running time of this subject, it is preferable to strengthen the muscles required for running rather than strengthening the cardiopulmonary function. The same can be said for rehabilitation subjects. It is preferable to store the measurement results and judgment records by the support devices 1 and 51 in the memory unit 5 (Figure 2) by linking them to the date and time, etc. For example, it becomes possible to track what an athlete or rehabilitation patient has done, so that in addition to the subject himself, a sports coach in the case of a company, or a medical professional in the case of the latter, can contribute to the evaluation of the results.

1, 51: Support device, 3: Calculation unit (CPU), 5: Memory unit, 5a: Program, 7: Display unit, 9: Input unit, 11: Communication unit, 13: Reference range value DB (database), 15: Predicted state DB (database), 15a: Heart rate range, 15b: Blood pressure value range, 15c: Oxygen saturation range, 17: Heart rate sensor (pulse rate/heart rate sensor), 19: Sphygmomanometer, 21: Pulse oximeter, 25a: HR input field, 25b: BP input field, 25c: _SpO2 input field, 25d: Measurement time input field, 25e: Health condition display field, 25f: Clear button, 25g: Judgment button

Claims (1)

A data acquisition means for acquiring at least pulse rate or heart rate data HR, at least systolic blood pressure data BP, and oxygen saturation data SP of a subject;
a reference range value database in which pulse or heart rate reference range data HRs , blood pressure reference range data BPs, and oxygen saturation reference range data SPs are stored in a state in which they are each divided into at least three predetermined reference range values;
a predicted condition database in which at least three levels of reference range values of the pulse or heart rate reference range data HRs are associated with at least three levels of reference range values of the blood pressure reference range data BPs, at least three levels of reference range values of the oxygen saturation reference range data SPs are associated with at least three levels of the reference range values of the blood pressure reference range data BPs, and a predicted health condition is associated with at least three levels of the reference range values of the oxygen saturation reference range data SPs;
a condition specifying means for specifying a predicted health condition stored in the predicted condition database based on the pulse rate or heart rate data HR, at least the systolic blood pressure data BP, and the oxygen saturation data SP acquired by the data acquisition means ;
a display means for displaying the predicted health condition identified by the condition identification means,
The state specifying means is
(1) Identifying which stage of the reference range value of the pulse or heart rate reference range data HRs corresponds to the pulse rate or heart rate data HRs;
(2) Identifying which stage of the blood pressure reference range data BPs the at least systolic blood pressure data BP corresponds to in the stage of the reference range value of the identified pulse or heart rate reference range data HRs;
(3) Identifying which stage of the reference range values of the oxygen saturation reference range data SPs the oxygen saturation data SP corresponds to in the stage of the reference range values of the identified blood pressure reference range data BPs;
(4) A health condition judgment support device characterized by identifying a predicted health condition corresponding to a stage of the reference range value of the identified oxygen saturation reference range data SPs.

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