WO2016163465A1

WO2016163465A1 - Disease analysis apparatus, disease risk analysis system, and disease analysis program

Info

Publication number: WO2016163465A1
Application number: PCT/JP2016/061419
Authority: WO
Inventors: 稗田　克彦
Original assignee: Jsr株式会社
Priority date: 2015-04-10
Filing date: 2016-04-07
Publication date: 2016-10-13

Abstract

This disease analysis apparatus is provided with: a blood vessel-related data storage unit that stores blood vessel-related data obtained by successive measurements in a blood vessel-related data measuring unit; a blood pressure data computation unit that calculates blood pressure data on the basis of the blood vessel-related data; a blood pressure data storage unit that stores the calculated blood pressure data; a blood pressure change information computation unit that acquires at least two arbitrary pieces of blood pressure data from the stored blood pressure data, and calculates change information, which is information relating to the amount of change in the at least two acquired pieces of blood pressure data; and a disease analysis unit that refers to a blood pressure disease database in which change information and disease risk information are associated and acquires disease risk information associated with the change information calculated by the blood pressure change information computation unit to analyze a disease risk.

Description

Disease analysis apparatus, disease risk analysis system, and disease analysis program

Cross-reference of related applications

This international application claims priority based on Japanese Patent Application No. 2015-81002 filed with the Japan Patent Office on April 10, 2015, and is based on Japanese Patent Application No. 2015-81002. The entire contents are incorporated by reference into this international application.

The present disclosure relates to a disease analysis device, a disease risk analysis system, and a disease analysis program recording medium, for example, a disease analysis device, a disease risk analysis system, and a disease analysis program recording medium based on blood pressure information and the like.

An apparatus for analyzing a disease based on whether or not a blood pressure value measured with a cuff blood pressure measuring instrument falls within a predetermined reference value has been known. However, in the analysis using only the absolute value of the measured blood pressure value, there is a difference in blood pressure value between individuals, a difference in blood pressure value depending on the season, and the like, and it has been difficult to achieve a desired analysis accuracy.

In order to solve this problem, the change of temporal biological rhythm etc. is related to the pathological condition, the difference between the rhythm predicted by the temporal biological rhythm prediction standard and the actual measurement value and the above association of A system for predicting occurrence has been proposed (see, for example, Patent Document 1).

Japanese Patent No. 4938855

In the technique described in Patent Document 1 described above, it is possible to suppress a decrease in analysis accuracy or prediction accuracy due to a difference in blood pressure value among individuals, a difference in blood pressure value due to season, or the like. However, since it is the same as in the past in terms of analyzing the disease based on whether or not the blood pressure value measured with a blood pressure measuring instrument falls within a predetermined reference value, There is a limit in eliminating the influence due to the difference in blood pressure value, etc., and there is a problem that it is difficult to further improve analysis accuracy or prediction accuracy.

In one aspect of the present disclosure, it is desirable to provide a disease analysis apparatus, a disease risk analysis system, and a disease analysis program recording medium that can facilitate improvement of disease analysis accuracy.

The disease analysis apparatus according to the first aspect of the present disclosure includes a blood vessel related data storage unit that stores blood vessel related data of a subject continuously measured in a blood vessel related data measurement unit, and a blood pressure based on the blood vessel related data. A blood pressure data calculation unit for calculating data, a blood pressure data storage unit for storing the blood pressure data calculated in the blood pressure data calculation unit, and at least two arbitrary blood pressure data stored in the blood pressure data storage unit Refers to a blood pressure change information calculation unit that acquires blood pressure data, calculates change information that is information relating to the amount of change of the acquired at least two blood pressure data, and a blood pressure disease database in which the change information and disease risk information are associated And acquiring the disease risk information associated with the change information calculated by the blood pressure change information calculation unit. We include a disease analyzer for analyzing the patient risks, and.

The disease risk analysis system according to the second aspect of the present disclosure is information related to a biological information acquisition device including a blood vessel-related data measurement unit that measures blood vessel-related data of a subject, and changes in at least two blood pressure data. Blood vessel related data for storing the blood vessel related data of the subject continuously measured in the blood vessel related data measuring unit, and a disease information management device having a blood pressure disease database in which change information and disease risk information are associated A blood pressure data calculation unit that calculates the blood pressure data based on the blood vessel related data, the blood pressure data storage unit calculated in the blood pressure data calculation unit, and the blood pressure stored in the blood pressure data storage unit Any at least two blood pressure data are acquired from the data, and the change relating to the acquired at least two blood pressure data is performed. A disease analysis comprising: a blood pressure change information calculation unit that calculates information; and a disease analysis unit that references the blood pressure disease database and acquires the disease risk information associated with the change information and analyzes the disease risk And a device.

A disease analysis program stored in a non-transitory computer-readable medium according to the third aspect of the present disclosure is a computer that stores blood pressure data based on at least two blood vessel-related data measured at different times in a blood vessel-related data measurement unit. Referring to the blood pressure disease database in which the change information and the disease risk information are associated with each other, and the blood pressure change information calculation function for calculating change information that is information relating to the amount of change in the acquired at least two blood pressure data. And a disease analysis function for obtaining the disease risk information associated with the change information and analyzing the disease risk.

According to the disease analysis apparatus according to the first aspect of the present disclosure, the disease risk analysis system according to the second aspect, and the disease analysis program according to the third aspect, information on the amount of change in any at least two blood pressure data ( Hereinafter, the disease risk is also analyzed based on the disease risk information associated with the change information. Therefore, compared with the case of analyzing the disease risk based on the absolute value of the blood pressure data, it becomes easier to perform an analysis in which the influence due to the difference in blood pressure value among individuals, the difference in blood pressure value depending on the season, and the like is eliminated. In addition, as an association between the disease risk and the change information, an association based on statistical processing can be exemplified.

According to the disease analysis apparatus according to the first aspect of the present disclosure, the disease risk analysis system according to the second aspect, and the disease analysis program according to the third aspect, change information and the disease risk associated with the change information Based on this information, disease risk analysis is performed. Therefore, compared to the case of analyzing the disease risk based on the absolute value of the blood pressure data, there is an effect that it is easy to improve the analysis accuracy of the disease.

It is a model diagram which shows the structure of the risk analysis system which concerns on 1st Embodiment of this indication. It is a flowchart explaining the measurement and storage process of blood pressure data. It is a flowchart explaining the disease risk analysis process based on blood pressure data. It is a schematic diagram which shows the structure of the modification of the risk analysis system of FIG. It is a model diagram which shows the structure of the risk analysis system which concerns on 2nd Embodiment of this indication. It is a model diagram which shows the structure of the risk analysis system which concerns on 3rd Embodiment of this indication. It is a model diagram which shows the structure of the risk analysis system which concerns on 4th Embodiment of this indication. It is a model diagram which shows the structure of the risk analysis system which concerns on 5th Embodiment of this indication. It is a model diagram which shows the structure of the risk analysis system which concerns on 6th Embodiment of this indication. It is a model diagram which shows the structure of the risk analysis system which concerns on 7th Embodiment of this indication. It is a schematic diagram which shows the electrical structure common to the disease information management apparatus and disease analysis apparatus of this indication.

1, 101, 201, 301, 401, 501, 601 ... Disease risk analysis system, 10, 110, 210 ... Blood vessel monitor (biological information acquisition device), 11 ... Blood vessel pulse wave sensor (blood vessel related data measuring unit), 20 ... Disease information management device, 21 ... blood pressure disease database, 23 ... personal information database, 30, 130, 230, 330, 430, 530, 630 ... disease analysis device, 31 ... blood pressure change information calculation unit, 32 ... disease analysis unit, 33 ... blood pressure data storage unit, 36 ... blood pressure data calculation unit, 37 ... blood vessel pulse wave data storage unit (blood vessel related data storage unit), 114 ... temperature measurement unit, 135, 235 ... activity status determination unit (determination unit), 214 ... Acceleration measurement unit, 335 ... physical information input unit, 435 ... life information input unit, 535 ... pulse data calculation unit, 635 ... blood flow data calculation unit

[First Embodiment]
The disease risk analysis system 1 and the disease analysis device 30 according to the first embodiment of the present disclosure will be described with reference to FIGS. 1 to 4.

The disease risk analysis system 1 according to the present embodiment is a system that analyzes a disease risk of a subject 50 based on blood pressure data calculated based on pulse wave data of the subject 50 that is continuously measured. The device 30 is included in the disease risk analysis system 1. As shown in FIG. 1, the disease risk analysis system 1 is mainly provided with a blood vessel monitor (biological information acquisition device) 10 based on pulse wave data, a disease information management device 20, and a disease analysis device 30. It has been.

Note that continuous measurement is a concept that includes both measurement without interruption and measurement at regular intervals. Usually, the measurement is performed every few hours from one measurement of each pulse, and is a blood vessel monitor. From the viewpoint of reducing the power consumption of 10, it is preferable to measure at regular intervals of several minutes to several hours.

The blood vessel monitor 10 is attached to the subject 50, and continuously measures the blood pressure of the subject 50. The blood vessel monitor 10 is provided with at least a blood vessel pulse wave sensor (blood vessel related data measuring unit) 11, a time measuring unit 12, and a monitor side input / output unit 13.

The blood vessel pulse wave sensor 11 continuously measures the blood vessel pulse wave of the subject 50 and outputs blood vessel pulse wave data (blood vessel related data) that is data relating to the value of the measured blood vessel pulse wave. Reference numeral 12 denotes time information that is time information at the time when the blood vessel pulse wave data is measured. The monitor-side input / output unit 13 outputs vascular pulse wave data and time information to the disease analyzer 30.

In the present embodiment, the vascular pulse wave sensor 11 is applied to a sensor that irradiates the subject 50 with light such as near infrared rays and continuously measures the vascular pulse wave based on a phase change in the reflected or transmitted light. I will explain. The blood vessel pulse wave sensor 11 is not limited to a sensor based on the above-described method, and may be a sensor based on another method that can be continuously measured, and the measurement method is not limited.

Here, the vascular pulse wave is a physical property value related to the blood vessel measured by the vascular pulse wave sensor 11, and refers to a value that repeatedly changes with the pulsation of the heart, such as the volume of the blood vessel. In particular, as will be described later, it is preferable that the blood pressure can be used.

The monitor-side input / output unit 13 is a communication unit that transmits and receives information to and from the disease analysis device 30. Communication with the disease analyzer 30 may be wired communication or wireless communication, or may be a combination of both. In the present embodiment, description will be made by applying to an example in which communication with the disease analysis apparatus 30 is performed using a short-range wireless communication technology with low power consumption such as Bluetooth (registered trademark). Note that the communication method is not limited to this, and other wireless communication technologies such as Wi-Fi may be used.

The disease information management apparatus 20 is a computer system having a CPU (Central Processing Unit), ROM, RAM, hard disk, input / output interface and the like. In the present embodiment, description will be made by applying to an example of a database server connected to the disease analysis device 30 so as to be capable of information communication.

The control program stored in the ROM or the like causes the hard disk or the like to function as the blood pressure disease database 21 and causes the input / output interface or the like to function as the management-side input / output unit 22. It functions as a control unit that controls the operation of the management-side input / output unit 22.

The blood pressure disease database 21 stores at least differential information and disease risk information, which will be described later, in a statistically correlated manner. The stored disease risk information can be output from the blood pressure disease database 21 to the disease analysis device 30 via the management input / output unit 22.

The statistically related difference information and disease risk information are the results of associating the difference information accumulated so far and the disease risk information by performing statistical processing, and are stored in the blood pressure disease database 21 in advance. What is stored can be exemplified. Note that the statistical association between the difference information and the disease risk information may be periodically updated.

The management-side input / output unit 22 is a communication unit that transmits and receives information to and from the disease analysis device 30. Communication with the disease analyzer 30 may be wired communication or wireless communication, or may be a combination of both. In the present embodiment, a radio base station is disposed between the disease information management apparatus 20 and the disease analysis apparatus 30, and between the disease information management apparatus 20 and the radio base station, the Internet, an intranet, a LAN (local area network), or the like. Network), etc., and is applied to an example in which communication between the wireless base station and the disease analyzer 30 is performed using wireless communication technology such as Wi-Fi (registered trademark). explain.

Moreover, the disease analyzer 30 can include a display unit. The display unit is a device that displays blood vessel pulse wave data transmitted from the blood vessel monitor 10 or a calculation result of the disease analysis device 30. As the calculation result of the disease analyzer 30, specifically, the calculation results of the blood pressure data calculation unit 36 and the disease analysis unit 32 described later can be displayed, and blood pressure, pulse, blood flow velocity, blood flow rate, pulse rate, It is possible to display biological information such as blood glucose level and information on disease risk. As such a display unit, an appropriate display or the like can be used. By providing the display unit with the disease analysis device 30, the subject 50 can immediately obtain biological information and information on the disease risk regarding his / her measurement results.

The disease analyzer 30 is a computer system having a CPU (Central Processing Unit), ROM, RAM, hard disk, input / output interface, and the like. In the present embodiment, description will be made by applying to an example in which the disease analysis device 30 is a portable terminal owned by a portable subject 50, such as a portable information terminal device (smart phone or tablet PC).

In the case of a portable information terminal device, a control program stored in a non-volatile memory such as a flash memory causes the CPU to function at least as the blood pressure change information calculation unit 31, the blood pressure data calculation unit 36, and the disease analysis unit 32. The input / output interface or the like functions as the analysis-side input / output unit 34, and the nonvolatile memory or the like functions as the blood vessel pulse wave data storage unit 37 and blood pressure data storage unit 33.

The blood vessel pulse wave data storage unit 37 stores the blood vessel pulse wave data continuously measured by the blood vessel monitor 10 and time information at the time when the blood vessel pulse wave data is measured in association with each other. The vascular pulse wave data storage unit 37 can store the vascular pulse wave data and time information input from the blood vessel monitor 10 and can output the stored vascular pulse wave data to the blood pressure data calculation unit 36. ing.

The blood pressure data storage unit 33 stores the blood pressure data calculated by the blood pressure data calculation unit 36 and time information at the time when the blood vessel pulse wave data corresponding to the blood pressure data is measured in association with each other. The blood pressure data storage unit 33 can store the blood pressure data and time information input from the blood pressure data calculation unit 36 and can output the stored blood pressure data to the blood pressure change information calculation unit 31.

The blood pressure data calculation unit 36 calculates blood pressure data from the blood vessel pulse wave data stored in the blood vessel pulse wave data storage unit 37. As a method for calculating blood pressure data from vascular pulse wave data, a known calculation method can be used, and it is not particularly limited.

The blood pressure change information calculation unit 31 acquires at least two blood pressure data from the blood pressure data stored in the blood pressure data storage unit 33, and calculates difference information as change information of the acquired at least two blood pressure data. The acquired blood pressure data is selected from a plurality of blood pressure data linked to predetermined time information. In the present embodiment, the difference information is calculated as an example of the change information of the two blood pressure data. However, the change information only needs to be information that indicates the change of the two blood pressure data. It is not limited.

The disease analysis unit 32 refers to the blood pressure disease database 21, acquires disease risk information associated with the difference information, and analyzes the disease risk. As a method for analyzing a disease risk, a known method can be used, and it is not particularly limited.

The analysis-side input / output unit 34 is a communication unit that transmits and receives information to and from the monitor-side input / output unit 13 and the management-side input / output unit 22 as described above. In the present embodiment, the analysis side input / output unit 34 is applied to an example in which a part that communicates with the monitor side input / output unit 13 and a part that communicates with the management side input / output unit 22 are provided. I will explain.

Next, disease risk analysis in the disease risk analysis system 1 configured as described above will be described. First, control when blood vessel pulse wave data measured by the blood vessel monitor 10 is stored in the disease analyzer 30 will be described with reference to the flowchart of FIG.

When the blood vessel monitor 10 is attached to the subject 50, the blood vessel pulse wave sensor 11 starts to continuously measure the blood vessel pulse wave of the subject 50 (measurement step: S11). The vascular pulse wave sensor 11 outputs vascular pulse wave data which is an output corresponding to the measured vascular pulse wave. The blood vessel pulse wave data is transmitted from the monitor-side input / output unit 13 to the disease analysis device 30 together with time information indicating the time output from the time measurement unit 12 (transmission step: S12).

In the disease analysis apparatus 30, the analysis-side input / output unit 34 receives the blood vessel pulse wave data transmitted from the blood vessel monitor 10 and time information corresponding thereto (reception step: S13). The received vascular pulse wave data is linked to the time information corresponding thereto and stored in the vascular pulse wave data storage unit 37 (vascular pulse wave data storage step: S14). The vascular pulse wave data and the time information to the vascular pulse wave data storage unit 37 may be stored every time the vascular pulse wave of the subject 50 is measured by the vascular monitor 10, or the vascular pulse wave is measured. It may be stored at a timing different from the timing.

When storage is performed at different timings, for example, blood vessel pulse wave data or the like is stored in a temporary storage unit such as a memory provided in the blood vessel monitor 10 or the disease analysis device 30, and the blood vessel is transferred from the temporary storage unit at the timing of storage. The blood vessel pulse wave data and time information may be stored in the pulse wave data storage unit 37.

Thereafter, the blood pressure data calculation unit 36 of the disease analysis apparatus 30 performs a process of calculating blood pressure data from the blood vessel pulse wave data stored in the blood vessel pulse wave data storage unit 37 (blood pressure data calculation step: S15). Specifically, processing for calling blood vessel pulse wave data for which blood pressure data is not calculated from the blood vessel pulse wave data storage unit 37 and processing for calculating blood pressure data based on the called blood vessel pulse wave data are performed. It should be noted that the value of the sphygmomanometer is corrected by using the blood pressure data measured by the cuff type electronic sphygmomanometer used conventionally or the value of the blood pressure data measured by the catheter type blood pressure measuring method. May be.

The calculated blood pressure data is linked to the time information corresponding to the calculated blood pressure data and stored in the blood pressure data storage unit 33 (blood pressure data storage step: S16). The blood pressure data calculation and storage process may be performed continuously following the blood vessel pulse wave data storage process as described above, or a predetermined unique timing separately from the blood vessel pulse wave data storage process. There is no particular limitation.

Next, control of disease risk analysis performed in the disease analyzer 30 will be described with reference to the flowchart of FIG. The disease risk analysis may be automatically performed according to a predetermined schedule, or may be performed based on an instruction to start analysis input from the outside, and is not particularly limited in timing for starting the analysis. Absent.

When the disease risk analysis is started, the disease analysis unit 32 of the disease analysis device 30 executes a process of acquiring at least two blood pressure data measured at different times (blood pressure data acquisition step: S21). In the present embodiment, the latest blood pressure data (for example, blood pressure data measured at a desired timing one hour before one beat) and blood pressure data measured at the same time on the previous day (hereinafter “past blood pressure data”). This is also applied to an example of acquiring.

As the past blood pressure data, instead of the blood pressure data measured at the same time on the previous day as described above, blood pressure data measured within the same day (within 24 hours), such as several minutes ago and several hours ago. It may be used and is not particularly limited. By using the past blood pressure data several minutes ago and several hours ago, it becomes easier to grasp in detail blood pressure fluctuations in the subject 50 such as early morning, morning, afternoon, evening, nighttime, sleeping, etc. It is possible to easily improve the accuracy of disease analysis. Further, as the blood pressure data in the past, blood pressure data measured at a timing further back in the past, such as the same time on the predetermined day of the previous week, the previous month, or the previous year, may be used, and is not particularly limited. By making it possible to use past blood pressure data such as the previous week, the previous month, and the previous year, it becomes easy to grasp the state change of the subject 50 from the past, and it is possible to easily improve the analysis accuracy of the disease.

Further, the latest blood pressure data and the past blood pressure data may be average blood pressure data obtained based on a plurality of blood pressure data. For example, the average value of several blood pressure data measured at desired multiple timings one hour before one beat, or several pieces measured at the same time in the period from several days up to the previous day It may be an average value of blood pressure data.

Thereafter, the blood pressure change information calculation unit 31 performs a process of calculating difference information, which is a difference value between the acquired two blood pressure data, as change information regarding the change amount of the two blood pressure data (blood pressure change information calculation step: S22). . The calculated difference information is output from the analysis side input / output unit 34 to the management side input / output unit 22 of the disease information management apparatus 20.

The disease information management device 20 performs a process of selecting disease risk information stored in the blood pressure disease database 21 and associated with the difference information having the same value as the input difference information (disease) Risk information selection step: S23). The selected disease risk information is output from the management-side input / output unit 22 to the analysis-side input / output unit 34 of the disease analyzer 30.

The disease analysis unit 32 of the disease analysis device 30 performs a calculation process for analyzing the disease risk of the subject 50 based on the acquired disease risk information (disease analysis step: S24). The disease risk obtained by the analysis is output from the disease analyzer 30 to the outside. The output destination may be, for example, a display device such as a display that conveys a disease risk to the subject 50, or an information processing device such as a server installed in a medical institution where the subject 50 visits. Also good.

According to the disease risk analysis system 1 and the disease analysis device 30 configured as described above, the disease risk based on the difference information of any at least two blood pressure data and the disease risk information statistically associated with the difference information. Analysis is performed. Therefore, compared with the case of analyzing the disease risk based on the absolute value of blood pressure data, it becomes easier to perform an analysis that excludes the effects of differences in blood pressure values by 50 subjects, blood pressure values by season, etc. It is possible to easily improve the accuracy of disease analysis.

For example, early morning hypertension is known to be related to stroke risk, and it is easier to improve the accuracy of disease analysis by analyzing stroke risk based on blood pressure fluctuations and daily differences in the early morning. Can do. In addition, it is known that daytime stress hypertension is related to heart disease and stroke risk, and by analyzing the risk of heart disease and stroke based on fluctuations in blood pressure during the day and daily differences, It is possible to easily improve the accuracy of disease analysis. Furthermore, it is known that nighttime hypertension is related to diabetes risk, and it is easier to improve the accuracy of disease analysis by analyzing diabetes risk based on fluctuations in blood pressure during nighttime and daily differences. Can do.

In the blood pressure data storage unit 33, the difference information related to the time information can be obtained by associating and storing the time information with the blood pressure data. For example, blood pressure data acquired based on time information can be selected, and difference information can be obtained based on the selected blood pressure data. Time information used for selection can be arbitrarily set, and change information related to desired time information can be obtained.

By using data measured at the same time as the time associated with the latest blood pressure data as past blood pressure data, it becomes easier to consider the influence of fluctuations in blood pressure data due to daily life rhythm, The analysis accuracy can be improved easily. Further, by making it possible to use past blood pressure data such as the previous day, the previous week, the previous month, the previous year, etc., it becomes easier to grasp the state change of the subject 50 from the past, and it is easy to improve the analysis accuracy of the disease. it can.

Furthermore, by making it possible to use the average blood pressure data obtained based on a plurality of blood pressure data as the latest blood pressure data and the past blood pressure data, the influence of variations caused by the external environment etc. included in each blood pressure data Can be suppressed, and the analysis accuracy of the disease can be easily improved.

In addition, as shown in FIG. 4, the disease information management apparatus 20 in the above-described embodiment is provided with a personal information database 23 in which a management ID related to the subject 50, a password, and attribute data related to disease analysis information are stored. May be.

In this case, the disease risk associated with the subject 50 from the blood pressure disease database 21 by using the attribute data stored in the personal information database 23 in the calculation process for analyzing the disease risk of the subject 50 in S24. Information can be used. As a result, compared with the case where attribute data is not used, it is possible to easily improve the accuracy of disease analysis.

Further, the blood vessel monitor 10 detects whether or not the blood vessel monitor 10 is attached to the subject 50, and outputs an ON signal when the blood vessel monitor 10 is attached to the subject 50, and when the blood vessel monitor 10 is detached from the subject 50. May be provided with a sensor that outputs an OFF signal. By transmitting such an ON / OFF signal to the disease analyzer 30, it is possible to prevent blood pressure data transmitted when the blood vessel monitor 10 is removed from the subject 50 from being used for disease risk analysis.

In the above-described embodiment, the blood vessel monitor 10 is described as applied to an example in which the blood vessel pulse wave is measured and the blood vessel pulse wave data is output. However, values such as a pulse including blood pressure and blood flow can be calculated. What is necessary is just to measure various physical property values and output the data, and does not limit the measurement object.
[Second Embodiment]
Next, a second embodiment of the present disclosure will be described with reference to FIG. The basic configuration of the disease risk analysis system of this embodiment is the same as that of the first embodiment, but the configurations of the blood vessel monitor and the disease analysis device are different from those of the first embodiment. Therefore, in the present embodiment, only the periphery of the blood vessel monitor and the disease analysis apparatus will be described using FIG. 5, and description of other components will not be repeated.

As shown in FIG. 5, the disease risk analysis system 101 of the present embodiment is mainly provided with a blood vessel monitor (biological information acquisition device) 110, a disease information management device 20, and a disease analysis device 130. .

The blood vessel monitor 110 is attached to the subject 50. The blood vessel monitor 110 is provided with at least a blood vessel pulse wave sensor 11, a time measurement unit 12, a monitor side input / output unit 13, and a temperature measurement unit (temperature measurement unit) 114.

The temperature measuring unit 114 is a sensor that measures the temperature of the subject 50 to which the blood vessel monitor 110 is attached, for example, the temperature of the body surface. The measured temperature of the body surface of the subject 50 is transmitted from the temperature measurement unit 114 to the disease analysis device 130 via the monitor side input / output unit 13 as temperature information related to the temperature.

The position where the blood vessel monitor 110 is attached in this embodiment is exemplified by a position close to the heart of the subject 50. By attaching the blood vessel monitor 110 at a position close to the heart of the subject 50, the influence of the blood pressure change due to the posture of the subject 50 can be suppressed. Further, the place where the blood vessel monitor 110 is attached is desirably a body surface corresponding to the chest coronary artery.

The disease analyzer 130 is a computer system having a CPU, ROM, RAM, hard disk, input / output interface, and the like. In the present embodiment, description will be made by applying to an example in which the disease analyzer 130 is a portable information terminal device owned by a portable subject 50.

In the case of a portable information terminal device, a control program stored in a non-volatile memory such as a flash memory uses a blood pressure change information calculation unit 31, a blood pressure data calculation unit 36, a disease analysis unit 32, and an activity status determination unit (determination). Part) 135 and at least functions as an input / output interface 34 as an analysis-side input / output part 34 and functions as a vascular pulse wave data storage part 37 and a blood pressure data storage part 33. Is.

The activity status determination unit 135 determines the activity status of the subject 50 based on the temperature information on the body surface input from the temperature measurement unit 114 of the blood vessel monitor 110, and outputs the activity status information that is the determination result. To do. The activity state information is stored in the blood pressure data storage unit 33 in association with blood pressure data measured at the same time as the temperature information measurement.

Here, determination of the activity status of the subject 50 based on the temperature information in the activity status determination unit 135 will be described. In general, it is known that a human body temperature fluctuates according to the activity state. The activity status can be determined based on the value of the body temperature and the fluctuation. For example, it is known that a human body temperature rapidly decreases after falling asleep and then increases when the user awakes. By utilizing this temperature change, it is possible to estimate whether or not the subject 50 is in a sleep state.

The control of the disease risk analysis in the disease analyzer 130 of the present embodiment is different from the first embodiment in the blood pressure data acquisition process used when obtaining change information of the blood pressure data.

That is, in the present embodiment, the associated activity state information is also referred to when acquiring blood pressure data. For example, a process of acquiring blood pressure data used for calculation of change information from a plurality of blood pressure data associated with the same activity state information such as a sleep state is performed.

According to the disease risk analysis system 101 and the disease analysis device 130 configured as described above, the disease risk analysis is performed based also on the activity state information of the subject 50, so that it is possible to easily improve the analysis accuracy of the disease. That is, in the case of disease risk analysis using both blood pressure data acquired in a state where the acquired blood pressure data is significantly different, such as a sleep state and a wakefulness state, the analysis accuracy is likely to decrease. As described above, based on the activity state information, for example, the case of disease risk analysis using only blood pressure data acquired in the sleep state is possible, and it becomes easy to improve the analysis accuracy of the disease.
[Third Embodiment]
Next, a third embodiment of the present disclosure will be described with reference to FIG.

The basic configuration of the disease risk analysis system of this embodiment is the same as that of the first embodiment, but the configurations of the blood vessel monitor and the disease analysis device are different from those of the first embodiment. Therefore, in the present embodiment, only the periphery of the blood vessel monitor and the disease analysis apparatus will be described using FIG. 6, and description of other components will not be repeated.

As shown in FIG. 6, the disease risk analysis system 201 of the present embodiment is mainly provided with a blood vessel monitor (biological information acquisition device) 210, a disease information management device 20, and a disease analysis device 230. .

The blood vessel monitor 110 is attached to the subject 50. The blood vessel monitor 110 is provided with at least a blood vessel pulse wave sensor 11, a time measurement unit 12, a monitor-side input / output unit 13, and an acceleration measurement unit (acceleration measurement unit) 214.

The acceleration measuring unit 214 is a triaxial acceleration sensor that measures the movement of the body of the subject 50 to which the blood vessel monitor 210 is attached as acceleration. The measured acceleration of the subject 50 is transmitted from the acceleration measuring unit 214 to the disease analyzer 230 via the monitor side input / output unit 13 as acceleration information related to the acceleration.

The disease analyzer 230 is a computer system having a CPU, ROM, RAM, hard disk, input / output interface, and the like. In the present embodiment, description will be made by applying to an example in which the disease analyzer 230 is a portable information terminal device owned by a portable subject 50.

In the case of a portable information terminal device, a control program stored in a non-volatile memory such as a flash memory uses a blood pressure change information calculation unit 31, a blood pressure data calculation unit 36, a disease analysis unit 32, and an activity status determination unit (determination). Part) 235 to function as at least, input / output interface or the like to function as analysis side input / output part 34, and non-volatile memory to function as vascular pulse wave data storage part 37 and blood pressure data storage part 33 It is.

The activity status determination unit 235 determines the activity status of the subject 50 based on the body acceleration information input from the acceleration measurement unit 214 of the blood vessel monitor 210, and outputs the activity status information as the determination result. Is. The activity state information is stored in the blood pressure data storage unit 33 in association with blood pressure data measured at the same time as the measurement of acceleration information.

Here, the determination of the activity status of the subject 50 based on the acceleration information in the activity status determination unit 235 will be described. In general, it is known that humans move their bodies according to their activity status, in other words, the value of acceleration varies. The activity status can be determined based on the acceleration value and the fluctuation. For example, it is known that human beings generally stop moving in a sleep state. Therefore, it is possible to estimate whether or not the subject 50 is in a sleep state based on whether or not the vibration width of the acceleration value falls within the predetermined amplitude range.

In addition, based on the acceleration information, it is possible to determine the movement state of the subject 50 such as walking and running, and the local movement state such as moving the neck, moving the arm, moving the foot, etc. It becomes. By determining by combining a plurality of information such as the activity state and the passage of time, the subject 50 is moving while using a moving device such as a train, an elevator, or a vehicle, or walking, It is possible to determine whether the vehicle is running, desk work, or sleeping.

The control of the disease risk analysis in the disease analyzer 230 of the present embodiment is different from the first embodiment in the blood pressure data acquisition process used when obtaining change information of the blood pressure data.

According to the disease risk analysis system 201 and the disease analysis device 230 configured as described above, the activity state of the subject 50 can be determined more finely than in the first embodiment and the second embodiment described above. Therefore, it becomes easier to improve the analysis accuracy of the disease.
[Fourth Embodiment]
Next, a fourth embodiment of the present disclosure will be described with reference to FIG. The basic configuration of the disease risk analysis system of this embodiment is the same as that of the first embodiment, but the configuration of the disease analysis device is different from that of the first embodiment. Therefore, in this embodiment, only the periphery of the disease analyzer will be described with reference to FIG. 7, and description of other components and the like will not be repeated.

As shown in FIG. 7, the disease risk analysis system 301 of the present embodiment is mainly provided with a blood vessel monitor 10, a disease information management device 20, and a disease analysis device 330.
The disease analyzer 330 is a computer system having a CPU, ROM, RAM, hard disk, input / output interface, and the like. In the present embodiment, description will be made by applying to an example in which the disease analyzer 330 is a portable information terminal device owned by a portable subject 50.

In the case of a portable information terminal device, a control program stored in a non-volatile memory such as a flash memory uses a CPU as a blood pressure change information calculation unit 31, a blood pressure data calculation unit 36, a disease analysis unit 32, and a physical information input unit 335. At least it is made to function, and an input / output interface or the like is made to function as the analysis side input / output unit 34, and a nonvolatile memory or the like is made to function as the blood vessel pulse wave data storage unit 37 and the blood pressure data storage unit 33.

The body information input unit 335 is used to input body information such as the gender, height, weight, and body fat percentage of the subject 50. The input physical information is stored in, for example, the hard disk of the disease analysis device 330, and is read out and used for analysis in the disease risk analysis in the disease analysis unit 32.

According to the disease risk analysis system 301 and the disease analysis device 330 having the above-described configuration, the disease risk analysis can be performed in consideration of the body information of the subject 50 as compared with the first embodiment described above, and thus the disease analysis It becomes easier to improve accuracy.
[Fifth Embodiment]
Next, a fifth embodiment of the present disclosure will be described with reference to FIG. The basic configuration of the disease risk analysis system of this embodiment is the same as that of the first embodiment, but the configuration of the disease analysis device is different from that of the first embodiment. Therefore, in this embodiment, only the periphery of the disease analyzer will be described using FIG. 8, and description of other components and the like will not be repeated.

In the disease risk analysis system 401 of this embodiment, as shown in FIG. 8, a blood vessel monitor 10, a disease information management device 20, and a disease analysis device 430 are mainly provided.
The disease analyzer 430 is a computer system having a CPU, ROM, RAM, hard disk, input / output interface, and the like. In the present embodiment, description will be made by applying to an example in which the disease analyzer 430 is a portable information terminal device owned by a portable subject 50.

In the case of a portable information terminal device, a control program stored in a non-volatile memory such as a flash memory uses a CPU as a blood pressure change information calculation unit 31, a blood pressure data calculation unit 36, a disease analysis unit 32, and a life information input unit 435. At least it is made to function, and an input / output interface or the like is made to function as the analysis side input / output unit 34, and a nonvolatile memory or the like is made to function as the blood vessel pulse wave data storage unit 37 and the blood pressure data storage unit 33.

The life information input unit 435 is used to input life information such as the eating habits of the subject 50, sleeping hours, and smoking habits. The input life information is stored in, for example, the hard disk of the disease analysis device 430, and is read out and used for analysis in the disease risk analysis in the disease analysis unit 32.

According to the disease risk analysis system 401 and the disease analysis device 430 having the above-described configuration, the disease risk analysis can be performed in consideration of the life information of the subject 50 as compared with the first embodiment and the like. It becomes easier to improve accuracy.
[Sixth Embodiment]
Next, a sixth embodiment of the present disclosure will be described with reference to FIG. The basic configuration of the disease risk analysis system of this embodiment is the same as that of the first embodiment, but the configuration of the disease analysis device is different from that of the first embodiment. Therefore, in the present embodiment, only the periphery of the disease analyzer will be described using FIG. 9, and description of other components and the like will not be repeated.

As shown in FIG. 9, the disease risk analysis system 501 of the present embodiment mainly includes a blood vessel monitor 10, a disease information management device 20, and a disease analysis device 530.
The disease analyzer 530 is a computer system having a CPU, ROM, RAM, hard disk, input / output interface, and the like. In the present embodiment, the disease analysis apparatus 530 will be described as applied to an example of a portable information terminal apparatus owned by a portable subject 50.

In the case of a portable information terminal device, a control program stored in a non-volatile memory such as a flash memory uses a CPU as a blood pressure change information calculation unit 31, a blood pressure data calculation unit 36, a disease analysis unit 32, and a pulse data calculation unit 535. At least it is made to function, and an input / output interface or the like is made to function as the analysis side input / output unit 34, and a nonvolatile memory or the like is made to function as the blood vessel pulse wave data storage unit 37 and the blood pressure data storage unit 33.

The pulse data calculation unit 535 calculates pulse data of the subject 50 based on the blood vessel pulse wave data. Specifically, the vascular pulse wave data stored in the vascular pulse wave data storage unit 37 is called, and the pulse data is calculated based on the called vascular pulse wave data. In addition, as a method for calculating the pulse data based on the blood vessel pulse wave data, a known method can be used and is not particularly limited. The calculated pulse data is associated with blood pressure data calculated from the same vascular pulse wave data and stored in the blood pressure data storage unit 33.

The control of the disease risk analysis in the disease analyzer 530 of the present embodiment is different from the first embodiment in the blood pressure data acquisition process used when obtaining change information of the blood pressure data.

That is, in this embodiment, when acquiring blood pressure data, linked pulse data is also referred to. For example, processing for obtaining blood pressure data used for calculating change information from a plurality of blood pressure data linked to pulse data belonging to the same range, such as pulse data belonging to a range considered to be resting, is performed. Is called.

According to the disease risk analysis system 501 and the disease analysis device 330 configured as described above, disease risk analysis can be performed in consideration of the pulse data of the subject 50 as compared with the first embodiment described above. It becomes easier to improve accuracy.
[Seventh Embodiment]
Next, a seventh embodiment of the present disclosure will be described with reference to FIG. The basic configuration of the disease risk analysis system of this embodiment is the same as that of the first embodiment, but the configuration of the disease analysis device is different from that of the first embodiment. Therefore, in this embodiment, only the periphery of the disease analyzer will be described with reference to FIG. 10, and description of other components will not be repeated.

The disease risk analysis system 601 of the present embodiment is mainly provided with a blood vessel monitor 10, a disease information management device 20, and a disease analysis device 630.
The disease analyzer 630 is a computer system having a CPU, ROM, RAM, hard disk, input / output interface, and the like. In this embodiment, the disease analysis apparatus 630 will be described as applied to an example in which the portable information terminal apparatus owned by the portable subject 50 is used.

In the case of a portable information terminal device, a control program stored in a non-volatile memory such as a flash memory uses a CPU as a blood pressure change information calculation unit 31, a blood pressure data calculation unit 36, a disease analysis unit 32, and a blood flow data calculation unit 635. At least functions as an input / output interface as an analysis input / output unit 34, and functions as a non-volatile memory as a vascular pulse wave data storage unit 37 and a blood pressure data storage unit 33. .

The blood flow data calculation unit 635 calculates blood flow data of the subject 50 based on the blood vessel pulse wave data. Specifically, blood vessel pulse wave data stored in the blood vessel pulse wave data storage unit 37 is called, and blood flow data is calculated based on the called blood vessel pulse wave data. In addition, as a method of calculating blood flow data based on the blood vessel pulse wave data, a known method can be used and is not particularly limited. The calculated blood flow data is associated with blood pressure data calculated from the same vascular pulse wave data and stored in the blood pressure data storage unit 33.

The control of the disease risk analysis in the disease analyzer 630 of the present embodiment is different from the first embodiment in the blood pressure data acquisition process used when obtaining change information of the blood pressure data.

That is, in the present embodiment, when blood pressure data is acquired, linked blood flow data is also referred to. For example, processing for obtaining blood pressure data used for calculating change information from a plurality of blood pressure data linked to blood flow data belonging to the same range, such as blood flow data belonging to a range considered to be resting Is done.

According to the disease risk analysis system 601 and the disease analysis device 330 configured as described above, the disease risk analysis can be performed in consideration of the blood flow data of the subject 50 as compared with the first embodiment described above. It becomes easier to improve the analysis accuracy.
FIG. 11 shows an electrical configuration common to the disease information management apparatus 20 and the

disease analysis apparatuses

30, 130, 230, 330, 430, 530, and 630 in the first to seventh embodiments described above. The computer system 2 includes a CPU 3, a ROM 4, a RAM 5, a hard disk 6, an input interface 7, and the like.

In the above description of the first to seventh embodiments, the case where the control program is stored in the flash memory has been described, but the non-transitory computer-readable medium for storing the program is not limited to this. Non-transitory computer-readable media include, for example, magnetic recording media such as flexible disks, magnetic tapes, and hard disks, magneto-optical recording media such as magneto-optical disks, optical recording media such as CD-ROM (Compact Read Only Memory), Including, but not limited to, semiconductor memories such as ROM (Read Only Memory), flash memory, and RAM (Random Access Memory).

Note that the technical scope of the present disclosure is not limited to the above embodiment, and various modifications can be made without departing from the spirit of the present disclosure. For example, the present disclosure is not limited to those applied to the above-described embodiments, and may be applied to embodiments in which these embodiments are appropriately combined, and is not particularly limited.

Claims

A disease analyzer,
A blood vessel related data storage unit for storing blood vessel related data of the subject continuously measured in the blood vessel related data measurement unit;
A blood pressure data calculation unit for calculating blood pressure data based on the blood vessel related data;
A blood pressure data storage unit for storing the blood pressure data calculated in the blood pressure data calculation unit;
A blood pressure change information calculation unit that acquires any at least two blood pressure data from at least the blood pressure data stored in the blood pressure data storage unit, and calculates change information that is information regarding a change amount of the acquired at least two blood pressure data When,
A disease whose disease risk is analyzed by referring to a blood pressure disease database in which the change information and disease risk information are associated, and acquiring the disease risk information associated with the change information calculated by the blood pressure change information calculation unit A disease analysis apparatus comprising: an analysis unit;
The blood pressure data storage unit receives time information measured by a time measurement unit,
The disease analysis apparatus according to claim 1, wherein the blood pressure data storage unit associates and stores the blood pressure data and the time information when the blood pressure data is measured.
The blood pressure data storage unit receives temperature information of the subject measured by a temperature measurement unit,
The disease analysis apparatus according to claim 1, wherein the blood pressure data storage unit associates and stores the blood pressure data and the temperature information when the blood pressure data is measured.
The blood pressure data storage unit receives the activity state information of the subject determined by the determination unit using the temperature information,
The disease analysis apparatus according to claim 3, wherein the blood pressure data storage unit associates and stores the blood pressure data and the activity state information when the blood pressure data is measured.
The blood pressure data storage unit receives acceleration information of the subject measured by the acceleration measurement unit,
The disease analysis apparatus according to claim 1, wherein the blood pressure data storage unit associates and stores the blood pressure data and the acceleration information when the blood pressure data is measured.
The blood pressure data storage unit receives the activity state information of the subject determined by the determination unit using the acceleration information,
The disease analysis apparatus according to claim 5, wherein the blood pressure data storage unit associates and stores the blood pressure data and the activity state information when the blood pressure data is measured.
The disease analysis apparatus according to claim 2, wherein the blood pressure change information calculation unit acquires the at least two blood pressure data by acquiring the blood pressure data associated with the time information based on the time information. .
The disease analysis according to claim 3, wherein the blood pressure change information calculation unit acquires the at least two blood pressure data by acquiring the blood pressure data associated with the temperature information based on the temperature information. apparatus.
The disease analysis according to claim 5, wherein the blood pressure conversion information calculation unit acquires the at least two blood pressure data by acquiring the blood pressure data associated with the acceleration information based on the acceleration information. apparatus.
5. The blood pressure conversion information calculation unit according to claim 4, wherein the blood pressure conversion information calculation unit obtains the at least two blood pressure data by obtaining the blood pressure data associated with the activity state information based on the activity state information. Disease analyzer.
The disease analyzer further includes a pulse data calculation unit that calculates pulse data based on the blood vessel related data,
The pulse data calculated by the pulse data calculation unit is input to the blood pressure data storage unit,
The disease analysis apparatus according to claim 1, wherein the blood pressure data storage unit associates and stores the blood pressure data and the pulse data when the blood pressure data is measured.
The disease analyzer further includes a blood flow data calculation unit that calculates blood flow data based on the blood vessel related data,
The blood flow data calculated by the blood flow data calculation unit is input to the blood pressure data storage unit,
The disease analysis apparatus according to claim 1, wherein the blood pressure data storage unit associates and stores the blood pressure data and the blood flow data when the blood pressure data is measured.
A disease risk analysis system,
A biological information acquisition device including a blood vessel related data measuring unit for measuring blood vessel related data of a subject;
A disease information management device comprising a blood pressure disease database in which change information that is information related to the amount of change in at least two blood pressure data and disease risk information are associated;
A blood vessel related data storage unit that stores the blood vessel related data of the subject continuously measured in the blood vessel related data measurement unit;
A blood pressure data calculation unit for calculating the blood pressure data based on the blood vessel related data;
The blood pressure data storage unit calculated in the blood pressure data calculation unit;
A blood pressure change information calculation unit that acquires any at least two blood pressure data from the blood pressure data stored in the blood pressure data storage unit, and calculates the change information related to the acquired at least two blood pressure data;
A disease risk analysis system comprising: a disease analysis device comprising: a disease analysis unit that refers to the blood pressure disease database and acquires the disease risk information associated with the change information and analyzes the disease risk.
The biological information acquisition apparatus includes a temperature measurement unit that measures temperature information of the subject,
The disease analysis system according to claim 13, wherein the blood pressure data storage unit stores the blood pressure data in association with the time information when the blood pressure data is measured.
The biological information acquisition apparatus includes an acceleration measurement unit that measures acceleration information of the subject,
The disease analysis system according to claim 14, wherein the blood pressure data storage unit associates and stores the blood pressure data and the acceleration information when the blood pressure data is measured.
The disease risk analysis system according to claim 13, wherein the disease analysis device is a portable terminal device held by the subject.
The disease risk analysis system according to claim 16, wherein the portable terminal device includes a body information input unit for inputting body information of the subject.
The disease risk analysis system according to claim 16, wherein the mobile terminal device includes a lifestyle input unit that inputs a lifestyle of the subject.
The disease risk analysis system according to claim 13, wherein the disease information management device further comprises a personal information database that stores a management ID, a password, and attribute data related to disease analysis information related to the subject.
The disease risk analysis system according to claim 13, wherein the disease analysis device is a portable information terminal device.
A non-transitory computer readable medium comprising:
On the computer,
Blood pressure change information calculation for obtaining blood pressure data based on at least two blood vessel related data measured at different times in the blood vessel related data measuring unit, and calculating change information that is information regarding a change amount of the acquired at least two blood pressure data Function and
A disease analysis program that realizes a disease analysis function that refers to a blood pressure disease database in which the change information and disease risk information are associated, acquires the disease risk information associated with the change information, and analyzes the disease risk A non-transitory computer readable medium having stored therein.