JP2006043420A - Apparatus, method and program for identifying subject to be measured and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To identify a subject without the input of the information for identifying the subject by the subject. <P>SOLUTION: An identifying apparatus is equipped with a measurement result inputting part 202 for obtaining the measurement result of living body information, a measurement result accumulation part 204 for accumulating the measurement results on the subject information and the living body information corresponding to the subject information, the first parameter retaining part 207 for retaining items as the standard for identifying the subject among the measurement items of the living body information, and a subject identifying part 205. In the subject identifying part 205, measurement results which are accumulated at the measurement accumulation part 204, are extracted based on the retained items of the first parameter retaining part 207, and a subject corresponding to the measurement result, in which a subject is not identified, is identified by using the subject information corresponding to the extracted measurement result. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a technology that constitutes a health support service that collects biological information measurement results at home.

Due to the social background such as the arrival of an aging society and an increase in the rate of medical expenses, interest in home healthcare is increasing due to expectations for preventive medicine. As a method for realizing a health support service that collects biological information measurement results for realizing home health care, the following is known (for example, Patent Document 1).
Japanese Patent Laid-Open No. 11-152111

  However, in the conventional method, in order to be used by a plurality of people in one household, it is required to look at the screen every time measurement is performed and input information on who is to be measured from an input unit such as a touch panel. Forcing input imposes a burden on the subject and is particularly difficult for the elderly. Moreover, in the case of home health care, since the purpose is preventive medicine, it is fundamental to perform measurement over a long period of time. When performing measurement for a long period of time, the input operation is also repeated, which has a problem that the input operation is troublesome.

  An object of the present invention is to provide an apparatus for specifying a person to be measured that specifies a person to be measured for a measurement result in which the person to be measured is not specified without imposing input of information for specifying the person to be measured on the person to be measured. An identification method, a measurement subject identification program, and a recording medium are provided.

  A measurement subject specifying device according to the present invention includes measurement result acquisition means for acquiring measurement results of biological information, and measurement result storage means for storing measurement subject information and measurement results of biological information corresponding to the measurement subject information. And parameter holding means for holding an item serving as a reference for specifying the measurement subject among the measurement items of the biological information, and the measurement stored by the measurement result storage means based on the items held by the parameter holding means A measurement subject specifying means for extracting a result and specifying a measurement subject whose measurement result is not specified by using measurement subject information corresponding to the extracted measurement result; .

  Further, in the above configuration, the parameter holding unit is configured to measure the measurement result and the measurement target result item indicating the range of the difference between the measurement target result, the measurement target measurement item, and the measurement target measurement result. It is preferable to retain a difference item at the time of deletion indicating a range of difference when comparing the average value of the data group grouped for each person and the measurement result acquired by the measurement result acquisition unit.

  Further, in the above configuration, the person-to-be-measured specifying unit is responsive to the item of the person-to-be-measured of the measurement result acquired by the measurement result acquisition unit and the measurement result stored by the measurement result storage unit. After calculating the difference between the measured values, extracting the measurement result that the difference is within the range of the measured value difference indicated by the extraction difference item, and making it a data group for specifying the measurement subject, The data group is grouped for each person to be measured, each of which is a measurement result group, the average value of the measurement values indicated by the item of the person to be measured of the measurement result for each measurement result group, and the measurement result acquisition means Calculating the difference between the measurement result obtained by the measurement value indicated by the item of the person to be measured and the measurement including one or more items in which the difference is not less than the difference indicated by the deletion difference item Result group It is preferred to exclude from the comparison.

  In the above configuration, the parameter holding means further includes an item of the number of extraction days indicating a period for comparing the measurement time, and an item of a data deletion category indicating a deletion method when deleting the measurement result from the comparison target, A data deletion threshold item indicating the range to be deleted when deleting measurement results from the comparison target, and a required data number item indicating the number of items required as comparison targets when the measurement results are grouped by measurement subject Of these, it is preferable to hold at least one.

  In the above configuration, the person-to-be-measured specifying means extracts the measurement result accumulated by the measurement result accumulating means based on the item of the number of extraction days, and forms a data group for specifying the person to be measured. It is preferable.

  Further, in the above configuration, the measurement target specifying means, based on the data deletion classification item and the data deletion threshold item, among the measurement results included in the measurement result group, the data to be compared It is preferable to exclude from the measurement result group.

  In the above configuration, it is preferable that the measurement subject specifying unit excludes the measurement result group in which the number of measurement results included in the measurement result group is less than the number indicated by the item of the necessary data number.

  In the above configuration, when only one measurement result group exists, the person-to-be-measured specifying means acquires a person to be measured in an existing measurement result group by the measurement result acquisition means and receives the measurement result. It is preferable to specify as a measurer.

  In the above configuration, it is preferable to further include a measurement result receiving unit that receives measurement results from one or more biological information measuring devices.

  Further, in the above configuration, the biological information measuring device transmits a measurement result of biological information together with its own transmission source address to the measurement subject specifying device, and the measurement subject is transmitted from the transmission source address of the biological information measurement device. It is preferable to further include a person-to-be-measured information holding unit that identifies the subject.

  In the above configuration, it is preferable to further include measurement means for measuring biological information.

  In the above configuration, it is preferable that display input means for inputting and confirming the measurement subject information is provided.

  In the above configuration, it is preferable that the measurement subject specifying device further includes a measurement result transmission unit that transmits a measurement result accumulated by the measurement result accumulation unit to a server.

  Further, in the above configuration, the apparatus further includes a second parameter holding unit different from the parameter holding unit, and the measured person specifying unit stores the measurement result storage unit based on items held by the parameter holding unit. The second parameter holding means holds when the measurement result is extracted, and the person to be measured of the measurement result cannot be identified using the person information corresponding to the extracted measurement result. Preferably, the measurement result accumulated by the measurement result accumulation unit is extracted, and the person to be measured of the measurement result is specified using the person-to-be-measured information corresponding to the extracted measurement result.

  Further, in the above configuration, the second parameter holding unit is configured to specify the person to be measured by a second person-to-be-measured person item serving as a reference for specifying the person to be measured and the item for the second person-to-be-measured person. It is preferable to retain the item of effective difference used in the process.

  Further, in the above configuration, the second parameter holding unit further includes a priority item indicating which item is preferentially used among the items of the second measured person reference, and the measurement result input unit includes The item of the second number of extraction days indicating the period for inputting the measurement result of the biometric information and the item of the second necessary data number indicating the number of cases required as a comparison target when the measurement result is grouped for each person to be measured Of these, it is preferable to hold at least one.

  A measurement subject specifying method according to the present invention includes a measurement result acquisition step for acquiring a measurement result of biological information, and a measurement result for storing the measurement subject information and the measurement result of the biological information corresponding to the measurement subject information. An accumulation step; a parameter holding step for holding an item serving as a reference for specifying a measurement subject among the items for measuring the biological information; and the measurement result accumulation step based on the items held by the parameter holding step. A measurement subject specifying step of extracting the measurement result and specifying the measurement subject of the measurement result using the measurement subject information corresponding to the extracted measurement result.

  The measurement subject specifying program according to the present invention includes a measurement result acquisition unit that acquires a measurement result of biological information, and a measurement result that accumulates measurement target information and the measurement result of the biological information corresponding to the measurement subject information. A storage means, a parameter holding means for holding a reference item for specifying a measurement subject among the items for measuring the biological information, and the measurement result storage means for storing based on the items held by the parameter holding means; The measurement result is extracted, and the computer is caused to function as measurement target specifying means for specifying the measurement target person using the measurement target person information corresponding to the extracted measurement result.

  The recording medium according to the present invention includes measurement result acquisition means for acquiring measurement results of biological information, measurement result storage means for storing measurement subject information and measurement results of the biological information corresponding to the measurement target information, and , Parameter holding means for holding a reference item for specifying the person to be measured among the items for measuring the biological information, and the measurement result storage means for storing based on the items held by the parameter holding means Extracting a result, and recording a measured person specifying program that causes a computer to function as a measured person specifying means for specifying a measured person of the measurement result using measured person information corresponding to the extracted measurement result. Features.

  According to the first aspect of the present invention, the measurement result accumulating unit accumulates the measurement subject information and the measurement result of the biological information corresponding to the measurement subject information. The parameter holding means holds items serving as a reference for specifying the person to be measured among the measurement items of the biological information.

  Then, a measurement result in which the person to be measured is not specified is acquired, the measurement result is extracted from the measurement result accumulation unit based on the items held by the parameter holding unit, and the measurement subject corresponding to the extracted measurement result A person to be measured whose measurement result is not specified is specified using the information.

  Therefore, the person to be measured can be specified without inputting information for the person to be measured to identify himself / herself.

  According to a second aspect of the present invention, the parameter holding means includes an item of a person-to-be-measured reference serving as a reference for specifying the person to be measured, an item of difference at the time of extraction indicating a range of difference between the measurement results, Because it retains the item of difference at the time of deletion indicating the range of difference when comparing the average value of the data group obtained by grouping the results for each person to be measured and the measurement result acquired by the measurement result acquisition unit, The identification accuracy of the person being measured can be increased.

  According to the third aspect of the present invention, the difference between the measurement value according to the measurement target item between the measurement result acquired by the measurement result acquisition unit and the measurement result stored by the measurement result storage unit is calculated. The measurement result is extracted within the range of the measurement value difference indicated by the difference item at the time of extraction, and is set as a data group for specifying the measurement subject. Each measurement group is divided into measurement result groups, the average value of the measurement values indicated by the item of the person to be measured in the measurement results for each measurement result group, and the measurement acquired by the measurement result acquisition unit The difference between the result and the measured value indicated by the item of the person to be measured is calculated, and the measurement result group having one or more items in which the difference is greater than or equal to the difference indicated by the deletion difference item is excluded from the comparison target. And Since measurer is identified, it is possible to improve the accuracy of the identification of the subject.

  According to the invention described in claim 4, the parameter holding means further includes an item of the number of extraction times indicating a period for comparing the measurement time and a data deletion classification indicating a deletion method when deleting the measurement result from the comparison target. Items, data deletion threshold items indicating the range to be deleted when measuring results are deleted from the comparison target, and the number of required data indicating the number of items required for comparison when the measurement results are grouped by subject Since at least one of the items is held, it is possible to increase the accuracy of specifying the measurement subject.

  According to the fifth aspect of the present invention, it is possible to exclude a measurement result whose measurement date / time is far from the measurement date / time of the measurement result from the measurement result group, and to increase the accuracy of specifying the measurement subject.

  According to the sixth aspect of the present invention, the data to be compared is excluded from the measurement result group based on the data deletion category item and the data deletion threshold item among the measurement results included in the measurement result group. Therefore, the measurement accuracy of the measurement subject can be further increased.

  According to the invention of claim 7, since the measurement result group in which the number of measurement results included in the measurement result group is smaller than the number indicated by the item of the necessary data number is excluded, the measurement subject is specified. The accuracy can be further increased.

  According to the invention described in claim 8, when only one measurement result group exists, the measurement subject of the existing measurement result group is acquired by the measurement result acquisition means and is specified as the measurement result measurement subject. The measurement accuracy of the measurement subject can be further increased.

  According to the ninth aspect of the invention, since the measurement results measured by the plurality of biological information measuring devices are acquired, it is possible to obtain the measurement results having many measurement items.

  According to the invention described in claim 10, since the person-to-be-measured information is specified by the transmission source address given to the measurement result transmitted from the biological information measuring device, the person to be measured can be specified by a simple process. it can.

  According to the eleventh aspect of the present invention, the biological information can be acquired only by the person-to-be-measured specifying apparatus without separately connecting the biological information measuring apparatus to the person-to-be-measured specifying apparatus.

  According to the twelfth aspect of the present invention, since the specified person information is displayed, the person to be measured can check whether the specified person information is correct.

  According to the thirteenth aspect, the measurement result table can be backed up by the server.

  According to the fourteenth aspect of the present invention, if the person to be measured with respect to the measurement result cannot be specified according to the item held by the parameter holding means, the person to be measured follows the item held by the second parameter holding means. Since it is specified, the probability that the measurement subject is specified can be increased.

  According to the fifteenth aspect of the present invention, since the person to be measured is specified using the effective time difference, the accuracy of specifying the person to be measured can be further increased.

  According to a sixteenth aspect of the present invention, the second parameter holding means includes a priority item indicating which item is preferentially used among the items of the second measured person reference, and the measurement result input. A second extraction data item indicating the number of days required for comparison when the item of the second extraction time indicating the period for inputting the measurement result of the biometric information and the measurement result are grouped for each person to be measured Since at least one of the items is held, it is possible to further increase the accuracy of specifying the measurement subject.

  According to the seventeenth aspect of the invention, as in the first aspect of the invention, the subject can be identified without inputting information for the subject to identify himself / herself.

  According to the invention described in claim 18, as in the invention described in claim 1, it is possible to specify the person to be measured without inputting information for the person to be measured to identify himself / herself.

  According to the nineteenth aspect of the invention, like the first aspect of the invention, the subject can be identified without inputting information for the subject to identify himself / herself.

(Embodiment 1)
FIG. 1 shows a configuration diagram of a measurement subject specifying apparatus according to an embodiment of the present invention. A to-be-measured person specifying device 2 according to the present embodiment is applied to a home healthcare system.

  The home healthcare system shown in FIG. 1 includes a living body information measuring device 1 that measures living body information such as height and weight, and a biological information measurement result received from a plurality of living body information measuring devices 1 in a home. It comprises a measurer specifying device 2 and a server 3 for accumulating measurement results. The biological information measuring device 1 and the person-to-be-measured device 2 are connected via a home network. As the home network, for example, a specific low-power radio according to the Echonet standard, a wireless LAN represented by IEEE 802.11b, a wired Ethernet (registered trademark), or the like is adopted. In general, a plurality of biological information measuring devices 1 are connected.

  The person-to-be-measured device 2 and the server 3 are connected via an external network. The Internet is a typical example of an out-of-home network, but it is also possible to use a network using a subscriber telephone line or a mobile phone.

  The biological information measuring apparatus 1 includes a measuring unit 101 and a measurement result transmitting unit 102. The measurement unit 101 measures biological information such as height and weight, and outputs the measurement result to the measurement result transmission unit 102. The measurement result transmission unit 102 assigns the network address of the biological information measurement device to the measurement result received from the measurement unit 101 and transmits the measurement result to the measurement subject identification device 2. In FIG. 1, only one biological information measuring device 1 is shown, but it may be composed of two or more biological information measuring devices. Specifically, the biological information measuring device 1 may be configured by a device having any one function of a height meter, a weight meter, a blood pressure meter, and a thermometer, or a height meter, a weight meter, a blood pressure meter, and a thermometer. You may comprise by the apparatus which comprises at least any two functions.

  The person-to-be-measured device 2 includes a CPU, a ROM, a RAM, an external recording device, and the like, and includes a measurement result receiving unit 201, a measurement result input unit 202, a person-to-be-measured identification number holding unit 203, a measurement result storage unit 204, and a measurement target. A user identification unit 205, a display input unit 206, a first parameter holding unit 207, a measurement result transmission unit 208, and a second parameter holding unit 209. Note that these functions are realized by the CPU executing the measurement subject specifying program stored in the external storage device.

  The measurement result receiving unit 201 receives the measurement result from the biological information measuring device 1 and outputs it to the measurement result input unit 202. The measurement result input unit 202 receives an input of an unspecified measurement result by the person to be measured. The measured person identification number holding unit 203 holds a measured person identification number table. FIG. 5 is a drawing showing an example of a person-to-be-measured person identification number table. The measured person identification number table includes a measured person identification record including an address field 600 and a measured person identification number field 601. A measured person identification number field 601 includes a measured person identification number that is a numerical value uniquely assigned to each measured person who is permitted to access the measured person specifying device 2. Is stored. The address field 600 stores a network address assigned to the biological information measuring device 1 used by each person to be measured. In the example of FIG. 5, the network address describes an IP address, but the address stored in the address field 600 varies depending on the type of the home network and may be an address other than the IP address.

  The measurement result accumulation unit 204 stores a measurement result table including the measurement results received from the measurement result input unit 202. FIG. 7 shows an example of the measurement result table. As shown in FIG. 7, the measurement result table is composed of measurement result records including measurement subject identification numbers, measurement date and time, height, weight, body temperature, and pulse fields. In the measurement subject identification number field, a measurement subject identification number for identifying the measurement subject is stored. The measurement date / time field stores the update date / time of the data of the measurement result record. In the height field, the height of the measurement subject measured by the biological information measuring device 1 is stored. In the body weight field, the body weight of the person measured by the biological information measuring apparatus 1 is stored. In the body temperature field, the body temperature of the measurement subject measured by the biological information measuring apparatus 1 is stored.

  Note that the fields included in the measurement result record are not limited to those in FIG. 7, and corresponding fields may be included in the measurement result record according to the biological information measured by the biological information measuring device 1 such as the pulse and blood glucose level.

  The person-to-be-measured specifying unit 205 specifies the person to be measured using the measurement results stored in the measurement result storage unit 204. The display input unit 206 prompts the subject to input or confirm the subject using the screen. The first parameter holding unit 207 stores a first parameter table in which data necessary for the measurement target specifying unit 205 to perform processing for specifying the measurement target identification number is stored.

  FIG. 8 shows an example of the first parameter table. The first parameter table includes a first parameter record including fields for storing item code, item name, number of extraction days, difference at extraction, data deletion classification, data deletion threshold, number of necessary data, and difference at deletion. Yes. Details of these will be described later. The measurement result transmission unit 208 transmits the measurement result for which the measurement subject has been specified to the server 3.

  Similar to the first parameter table, the second parameter holding unit 209 stores a second parameter table in which data necessary for specifying the identification number of the person to be specified is stored. FIG. 18 shows an example of the second parameter table. As shown in FIG. 18, the second parameter table includes fields for priority, item code, item name, number of extraction days, required number of data, reference effective difference, extraction difference, data deletion category, and data deletion threshold. It consists of two parameter records.

  The server 3 includes a sub measurement result accumulation unit 301. The sub measurement result accumulating unit 301 holds the measurement result received from the measurement subject specifying device 2. That is, the sub measurement result accumulation unit 301 functions as a backup for the measurement result accumulation unit 204. In FIG. 1, the number of servers 3 is one, but the present invention is not limited to this. Two or more servers 3 are provided, and the data stored in the sub-measurement result accumulation unit 301 is distributed and stored in these servers. Also good. Note that the sub-measurement result storage unit 301 may function as a data processing master, and the measurement result storage unit 204 may function as a backup.

  Next, the operation of the biological information measuring apparatus 1 will be described according to the flowchart shown in FIG.

  In this flowchart, processing is started by the operation of the measurement subject or activation by a timer. First, the measurement unit 101 measures the measurement subject and acquires the measurement result of the biological information (S1000). After the measurement is completed, the measurement unit 101 outputs the acquired measurement result to the measurement result transmission unit 102 (S1001). The measurement result transmission unit 102 generates a packet for transmitting the received measurement result to the measurement subject identification device 2 (S1002). Specifically, the measurement result transmission unit 102 includes a transmission source address, a transmission destination address, and the like in a packet that is generated. Next, the measurement result transmission unit 102 transmits the packet generated in step S1002 to the measurement subject identification device 2 (S1003).

  FIG. 3 is a diagram illustrating an example of a data structure of a measurement result transmitted from the measurement result transmission unit 102 to the measurement subject identification device 2. The measurement result includes a transmission destination address part 500, a transmission source address part 501, and a data part 502. The transmission destination address section 500 stores the network address of the person-to-be-measured device 2. The transmission source address unit 501 stores the network address of the biological information measuring device 1. The data part 502 stores measurement results measured by the biological information measuring device 1. Here, the network addresses stored in the transmission destination address unit 500 and the transmission source address unit 501 are addresses (for example, IP addresses) based on the standard of the home network being used.

  FIG. 4 is a flowchart showing the operation of the measurement subject identification device 2 that has received the measurement result.

  First, when the measurement result receiving unit 201 receives the measurement result transmitted from the biological information measuring apparatus 1, the measurement result receiving unit 201 outputs the received measurement result to the measurement result input unit 202 (S1100). Upon receiving the measurement result from the measurement result receiving unit 201 (S1101), the measurement result input unit 202 determines whether or not the biological information measurement device 1 that is the transmission source of the measurement result is the network address of a specific person to be measured. Determination is made (S1102). Specifically, the measurement result input unit 202 stores the network address that matches the network address using the network address stored in the transmission source address unit 501 of the measurement result shown in the example of FIG. 3 as a key. It is detected whether the person identification record exists in the measured person table shown in FIG.

  If there is a measured person identification record that matches the network address in step S1103 (YES in S1103), the measurement result input unit 202 identifies the measured person stored in the measured person identification number field 601 of the detected record. 7 is generated in association with the measurement result (S1104), and the generated measurement result record is output to the measurement result storage unit 204 (S1105). The measurement result accumulation unit 204 adds the measurement result record output from the measurement result input unit 202 to the measurement result table (S1106).

  On the other hand, if there is no measured person identification record that matches the network address in step S1103 (NO in S1103), the measurement result input unit 202 generates a measurement result record from the measurement result and outputs it to the measurement result storage unit 204. (S1107). NULL indicating that no data is stored is stored in the field of the measurement subject identification number of the measurement result record generated at this time (see FIG. 7).

  In step S1108, the measurement result input unit 202 specifies the person-to-be-measured identification number for the person-to-be-measured specifying unit 205 because NULL is stored in the field of the person-to-be-measured identification number in the generated measurement result record. Notify you that you need it.

  In step S1109, the measurement result accumulation unit 204 adds the measurement result record output from the measurement result input unit 202 to the measurement result table.

  In step S <b> 1110, the measured person specifying unit 205 receives a notification from the measurement result input unit 202 that the measured person identification number needs to be specified. Upon receiving the notification that it is necessary to specify the person-to-be-measured identification number, the person-to-be-measured specifying unit 205 specifies the person-to-be-measured identification number in accordance with the determined logic (S1111).

  Details of the method of specifying the measurement subject identification number performed by the measurement subject specifying unit 205 will be described later with reference to the flowchart shown in FIG. When the measured person identification number can be identified by the process of step S1111 (YES in step S1112), the display input unit 206 displays the measured person identification number identified in step S1111 and there is no mistake in the measured person. Confirmation is prompted (S1113). In this case, the display input unit 206 displays a phrase such as “Are you sure the person-to-be-measured identification number is XX?”.

  Although the process of step S1113 can be omitted, it is preferable to perform display at least within a range that does not impose a burden on the measurement subject from the viewpoint of error prevention. If the person-to-be-identified identification number could not be specified in step S1112 (NO in step S1112), the display input unit 206 displays a screen that prompts the person-to-be-measured to input the person-to-be-measured identification number. The input of the person-to-be-measured identification number is received from the person to be measured (S1114).

  When the display input unit 206 receives an input of the person-to-be-measured identification number from the person to be measured (YES in S1114), the measurement result storage unit 204 has not transmitted to the server 3 among the stored measurement result records. The measurement result record is output to the measurement result transmission unit 208 (S1115). The measurement result transmission unit 208 receives a measurement result record that has not been transmitted to the server 3 from the measurement result storage unit 204 (S1116), and transmits the received measurement result record to the server 3 (S1117). If the display input unit 206 does not accept the input of the person identification number from the person being measured (NO in S1114), the process returns to step S1114.

  Next, detailed flowcharts of the process of identifying the person-to-be-measured by the person-to-be-measured specifying unit 205 (S1111 in FIG. 3 above) are shown in FIGS.

  First, the person-to-be-measured specifying unit 205 detects a measurement result record that needs to specify the person-to-be-measured identification number from the measurement result table stored in the measurement result storage unit 204 (S1200). Specifically, as shown in FIG. 7, a measurement result record in which NULL is stored in the field of the measurement subject identification number is detected from the measurement result table. Hereinafter, the measurement result record that is the identification target of the person-to-be-measured person identification number is referred to as an attention measurement result record. In this case, since NULL is stored in the field of the person-to-be-measured identification number in the measurement result record in the bottom row shown in FIG. 7, this measurement result record is detected. When there are a plurality of measurement result records storing NULL in the field of the person-to-be-measured identification number, any one of these is set as the target measurement result record.

  Next, the person-to-be-measured specifying unit 205 stores data used for specifying the person-to-be-measured identification number in accordance with the data stored in the first parameter table among the fields included in the measurement result record detected in step S1200. The designated field is specified (S1201). In this case, a field in which data with relatively little fluctuation is stored in one subject is specified. Since the height and weight are stored in the item name field of the first parameter table shown in FIG. 8, the height and weight fields are specified as shown in FIG.

  Next, the person-to-be-measured specifying unit 205 extracts from the measurement result table a measurement result record that stores a measurement result close to the data stored in the target measurement result record in accordance with the data stored in the first parameter table of FIG. (S1202).

  As shown in FIG. 8, in the first parameter table, “height” and “weight” are both stored as the number of extraction times, and “height” and “weight” are both stored as 1.0. Further, the attention measurement result record shown in FIG. 7 has a measurement date and time of March 25, 19:15, a height of 166.1, and a weight of 65.1. Therefore, the extraction condition of the measurement result record in the process of step S1202 is that the measurement date and time is March 18 19:15 to March 25 19:15, the height is 165.1 to 167.1, or the measurement date and time. The weight becomes 64.1-66.1 from 19:15 on March 18 to 19:15 on March 25. Therefore, when the process of step S1202 is executed on the measurement result table shown in FIG. 7, the measurement result record shown in FIG. 10 is obtained.

  Here, the reason for extracting a measurement result record that stores data measured in a relatively short period of time, such as 7 days, is the fluctuation of data that may change when viewed over the long term. This is to reduce the probability that the person-to-be-measured identification number is specified incorrectly. Of course, it is possible to omit this process and not limit the period.

  In step S1203, if the measurement result record can be extracted (YES in S1203), the measured person identification unit 205 groups the measurement result records using the measured person identification number as a key (S1204). In this case, as shown in FIG. 11, the measurement result table shown in FIG. 10 includes a group A in which the person identification number is 1, group B in which the person identification number is 2, and a person identification number 3 The group C is divided into three groups.

  In step S1205, the person-to-be-measured specifying unit 205 deletes a measurement result record that stores data that is significantly different from other measurement result records in each group. Here, taking the group A in FIG. 11 as an example, an example of the processing in step S1205 will be described.

  Group A in FIG. 11 includes seven measurement result records. On the other hand, in the first parameter table shown in FIG. 8, “1: absolute value” is stored in the data deletion category and “−3 to 3” is stored in the data deletion threshold. This means that an average value other than −3 to +3 from the average value of “height” for each group is regarded as data significantly different from other measurement results and deleted. For “weight”, “2: deviation” is stored in the data deletion category, and “−1 to 1” is stored in the data deletion threshold. This means that data other than −1 to +1 in standard deviation from the average value of “weight” for each group is regarded as data significantly different from other measurement results and deleted.

  In the case of FIG. 11, the average height of seven measurement result records is 166.0. Therefore, data other than −3 to 3 in absolute value is data to be deleted, and measurement result records storing heights other than 163.0 to 169.0 are deleted. In the example of FIG. 11, since all the heights of the seven measurement result records fall within this range, no measurement result record is deleted.

  On the other hand, the average value of the seven measurement result records for “weight” is 65.6. In the first parameter table shown in FIG. 8, for “body weight”, data other than the standard deviation of −1 to 1 is data to be deleted. When the standard deviation is obtained from the weight data in FIG. 11, it is about 1.56. Therefore, the measurement result record storing the weight other than 64.0 to 67.2 which is a value of plus or minus 1.56 with respect to the average value of 65.5 is deleted. In the example of FIG. 11, the measurement result record storing the weight of 69.4 is deleted. As a result, a measurement result table as shown in FIG. 12 is obtained. Note that the processing in step S1205 may be omitted.

  In step S1206, the person-to-be-measured specifying unit 205 deletes groups in which the number of measurement result records is less than a specified value. In the necessary data number shown in the first parameter table in FIG. 8, “4” is stored for both height and weight. Therefore, as shown in FIG. 13, the person-to-be-measured specifying unit 205 includes seven measurement result records for group A and four measurement result records for group B, both of which are the measurement result records. Since the number is four or more, group A and group B are not deleted. On the other hand, group C is deleted because the number of measurement result records is one and less than four.

  In the first parameter table shown in FIG. 8, the absolute value and the standard deviation are taken as examples of extraction criteria for data having significantly different data. However, this is only an example, and other criteria may be used. Similarly, the numerical value indicated by the data deletion threshold is also an example, and is not limited to this numerical value. Note that the process shown in step S1206 can be omitted.

  At the stage where the measured person identification unit 205 has performed the processing up to step S1206, the measured person identification unit 205 branches the process depending on whether a group exists (S1207). If the group does not exist (NO in step S1207), the person-to-be-measured specifying unit 205 determines that the person to be measured cannot be specified, and the process proceeds to step S1212 illustrated in FIG. If the group exists (YES in step S1207), the process proceeds to step S1208.

  Next, the person-to-be-measured specifying unit 205 calculates an average value for each group regarding the field specified in step S1201 among the fields constituting the measurement result record subjected to the processing up to step S1206 (S1208).

  Next, the person-to-be-measured specifying unit 205 extracts a group that satisfies the condition indicated by the difference in deletion in the first parameter table (S1209).

  As an example, the details of the processing in step S1209 will be described by applying the first parameter table shown in FIG. 8 to the average value and the measured target person determination record shown in FIG. The height of the attention measurement result record shown in FIG. 7 is 166.1, and the weight is 65.1. In the first parameter table of FIG. 8, “2.0” is stored for both height and weight as differences upon deletion.

  Therefore, a measurement result group having an average height value of 164.1 to 168.1 and an average weight value of 63.1 to 67.1 is extracted. As shown in FIG. 14, since the group A has a height of 166.02 and a weight of 64.95, both are within the range to be extracted. Since group B has a height of 165.98 and a weight of 59.48, it is out of the range where the weight is extracted. Therefore, only group A is extracted in the process of S1209.

  Next, the person-to-be-measured person specifying unit 205 branches the process depending on how many groups extracted in step S1209 exist (S1210). When the group extracted in step S1209 does not exist and when there are a plurality of groups (NO in S1210), it is difficult to specify the person to be measured only with the currently accumulated data. It is determined that it is impossible, and the process proceeds to step S1212. On the other hand, when there is only one group extracted in step S1209 (YES in step S1210), the measured person identification number of that group is specified as the measured person identification number of the attention measurement result record (S1211).

  In step S <b> 1212 shown in FIG. 15, the measured person specifying unit 205 specifies a field storing data used for specifying the measured person identification number of the target measurement result record in accordance with the priority order of the second parameter table. In this case, the person-to-be-measured specifying unit 205 specifies a body temperature having a priority of 1 in the second parameter table shown in FIG.

  In step S1212A, the person-to-be-measured specifying unit 205 can specify the field in step S1212 (YES in S1212A), the process proceeds to step S1213, and the field cannot be specified (NO in S1212A). If the person identification number cannot be specified, the process is terminated. Here, the person-to-be-measured specifying unit 205 determines that the field cannot be specified when the processing has been completed for all item names for which priorities are set in the second parameter table.

  FIG. 17 is a diagram illustrating an example of a measurement result table stored in the measurement result accumulation unit 204, as in FIG. In FIG. 17, the height and weight fields are omitted for convenience of explanation. In FIG. 17, the measurement result record in the bottom row is an attention measurement result record that is a specific target of the person-to-be-measured person identification number because NULL is stored in the field of the person-to-be-measured person identification number.

  In step S1213, the measured person specifying unit 205 extracts, from the measurement result table, the measurement result record storing data close to the data stored in the target measurement result record in accordance with the data stored in the second parameter table illustrated in FIG. To do. Here, in the second parameter table shown in FIG. 18, “2” is stored as the extraction time difference in body temperature, and 7 is stored as the number of extraction times. Further, the measurement result record of interest has a measurement date and time of March 25, 19:15, and a body temperature of 36.8 degrees. Therefore, the measurement result record extraction conditions in the process of step S1213 are the measurement date and time from March 18 19:15 to March 25 19:15, and the body temperature 34.8 to 38.8 degrees. Accordingly, when the process of step S1213 is executed on the measurement result table shown in FIG. 17, the measurement result table shown in FIG. 19 is obtained. In the case of FIG. 17, since all the measurement result records satisfy the above conditions, the measurement result table shown in FIG. 19 includes all the measurement result records shown in FIG.

  In step S1214, when the measurement result record can be extracted (YES in S1214), the measurement target identification unit 205 groups the measurement result records using the measurement subject identification number as a key (S1215). In this case, as shown in FIG. 20, the measurement result table shown in FIG. 19 has a group A in which the person identification number is 1, group B in which the person identification number is 2, and a person identification number 3 The group C is divided into three groups. On the other hand, if NO is determined in step S1214, the process returns to step S1212.

  In step S1216, the person-to-be-measured specifying unit 205 deletes a measurement result record that stores data that is significantly different from other measurement result records in each group. Here, taking the group A in FIG. 20 as an example, an example of the processing of S1205 will be described.

  Group A in FIG. 20 includes seven measurement result records. On the other hand, in the second parameter table shown in FIG. 18, for body temperature, “1: absolute value” is stored in the data deletion category, and “−2 to 2” is stored in the data deletion threshold. This means that data other than −2 to +2 in absolute value from the average value of body temperature for each group is regarded as data significantly different from other measurement results and deleted.

  In the case of group A in FIG. 20, the average value of seven measurement result records for body temperature is 36.5 degrees. Accordingly, data other than −2 to 2 in absolute value is data to be deleted, and measurement result records storing temperatures other than 34.5 degrees to 38.5 degrees are deleted. In the example of group A in FIG. 20, since all body temperatures of the seven measurement result records fall within this range, no measurement result record is deleted.

  In step S1217, the person-to-be-measured specifying unit 205 deletes groups in which the number of measurement result records is less than a specified value. In the second parameter table shown in FIG. 18, “4” is stored as the required number of data for body temperature. Therefore, as shown in FIG. 21, the person-to-be-measured person specifying unit 205 includes seven measurement result records for group A, and four measurement result records for group B. Since the number is four or more, group A and group B are not deleted. On the other hand, group C is deleted because the number of measurement result records is one and less than four.

  At the stage where the person-to-be-measured specifying unit 205 has performed the processing up to step S1217, the person-to-be-measured specifying unit 205 branches the process depending on whether a group exists (S1218). If the group does not exist (NO in step S1218), the person-to-be-measured unit 205 determines that the person to be measured cannot be specified, and the process returns to step S1212 shown in FIG. If the group exists (YES in step S1218), the process proceeds to step S1219.

  In step S1219, the person-to-be-measured specifying unit 205 calculates an average value for each group regarding the field specified in step S1212 among the fields constituting the measurement result record subjected to the processing up to step S1217. In this case, as shown in FIG. 22, it is understood that 36.51 degrees is calculated as the average value of the body temperature of group A, and 36.25 degrees is calculated as the average value of the body temperature of group B.

  In step S1220, the measurement target specifying unit 205 calculates the difference between the average values of the groups. In step S1221, the measurement subject specifying unit 205 calculates a difference between the average values of each group, and determines whether or not the difference between the average values is larger than the reference effective difference in the second parameter table. And when it determines with the difference of the average value of each group being larger than a reference | standard effective difference (it is YES at S1221), in an attention measurement result record, an average value is near with the data stored in the field specified by step S1212. The measured person identification number of the group is specified as the measured person identification number for the target measurement result record (S1222).

  In step S1221, when there are three or more groups, two groups extracted from the three or more groups are taken as one group, and the difference between the average values of all the groups is the reference effective difference. If larger, it is determined YES in step S1221.

  On the other hand, when it is determined that the difference between the average values of the groups is equal to or less than the reference effective difference (NO in S1221), the process returns to step S1212.

  In the case of FIG. 22, the average value of the body temperature of the group A is 36.51 degrees, the average value of the body temperature of the group B is 36.25 degrees, and the difference between the average values of the body temperatures of both groups is 0.26 degrees. is there. On the other hand, “2” is stored as the reference effective difference with respect to the body temperature in the second parameter table of FIG.

  Therefore, since the difference between the average values of the body temperatures of the two groups is equal to or less than the reference effective difference and the body temperatures of the two groups are approximate, the identification number of the measurement subject is not specified according to the body temperature, and the process proceeds to step S1212. Returned.

  In step S <b> 1212, the person-to-be-measured specifying unit 205 specifies a pulse having the second highest priority after body temperature as a field in which data used for specifying the person-to-be-measured identification number is stored. And like body temperature, the process of step S1213-S1219 is performed according to the data stored in the pulse of a measurement result table.

  In the case of FIG. 22, the average value of the pulse of the group A is 52.0, the average value of the pulse of the group B is 60.2, and the difference between the average values of the pulses of both groups is 8.2. . On the other hand, in the second parameter table of FIG. 18, “5” is stored as the reference effective difference with respect to the pulse.

  Accordingly, since the difference between the average values of the pulses of both groups is larger than the difference in validity and the pulses of both groups are separated, it is determined YES in step S1221, the process proceeds to step S1222, and the person identification number is measured according to the pulse. Is identified.

  In the case of FIG. 22, the pulse of the attention measurement result record is 61.4, and the average value of the pulse of group B is closer than the average value of the pulse of group A. 2 is specified as the person-to-be-measured identification number of the attention measurement result record.

  As described above, according to the measurement subject specifying apparatus, it is possible to specify a measurement subject having an unspecified measurement result without inputting the measurement subject identification number of the measurement subject.

  A specific method for measuring a person to be measured according to the present invention and an apparatus for realizing the method have a function of reducing the complicated input work of the person to be measured in a home healthcare system that needs to perform repeated measurement, and biometric information It is useful as a technology that constitutes a health support service that collects measurement results.

The block diagram of the to-be-measured person specific device by embodiment of this invention is shown. It is a flowchart which shows operation | movement of a biometric information measuring apparatus. It is drawing which shows an example of the data structure of the measurement result which a measurement result transmission part transmits to a to-be-measured person specific apparatus. It is a flowchart which shows operation | movement of the to-be-measured person specific apparatus 2 which received the measurement result. It is drawing which showed an example of the to-be-measured person identification number table. It is a flowchart which shows the detail of the process (S1111 of the said FIG. 3) which specifies a to-be-measured person identification number in a to-be-measured person specific part. It is drawing which shows an example of a measurement result table. It is drawing which showed an example of the 1st parameter table. It is drawing which shows an example of the item name which does not change comparatively. It is drawing which shows an example of a measurement result table. It is drawing which shows the measurement result table divided into groups. It is drawing which shows a mode that the measurement result record which comprises the measurement result table divided into groups is deleted. It is drawing which shows a mode that a group is deleted. It is drawing which showed the average value for every group. It is a flowchart which shows the detail of the process (S1111 of the said FIG. 3) which specifies a to-be-measured person identification number in a to-be-measured person specific part. It is a flowchart which shows the detail of the process (S1111 of the said FIG. 3) which specifies a to-be-measured person identification number in a to-be-measured person specific part. It is drawing which shows an example of a measurement result table. It is drawing which shows an example of a 2nd parameter table. It is drawing which shows an example of a measurement result table. It is drawing which shows the measurement result table divided into groups. It is drawing which shows a mode that a group is deleted. It is drawing which shows the measurement result table from which the average value was calculated.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Biological information measuring device 2 Measured person identification apparatus 3 Server 101 Measurement part 102 Measurement result transmission part 201 Measurement result reception part 202 Measurement result input part 203 Measured person identification number holding part 204 Measurement result storage part 205 Measured person identification part 206 Display Input Unit 207 First Parameter Holding Unit 208 Measurement Result Transmitting Unit 209 Second Parameter Holding Unit 301 Sub Measurement Result Accumulating Unit

Claims (19)

Measurement result acquisition means for acquiring measurement results of biological information;
Measurement result accumulating means for accumulating the measurement subject information and the measurement result of the biological information corresponding to the measurement subject information;
Parameter holding means for holding an item that serves as a reference for specifying the measurement subject among the measurement items of the biological information;
The measurement result accumulated by the measurement result accumulation unit is extracted based on the items held by the parameter holding unit, and the measurement subject is not identified using the measurement subject information corresponding to the extracted measurement result A person-to-be-measured person specifying device comprising: a person-to-be-measured means for specifying a person to be measured as a result.   The parameter holding means categorizes the measurement result for each person to be measured, the item of the measurement person standard that is a reference for specifying the measurement person, the item of the difference at the time of extraction indicating the range of the difference between the measurement result, and the measurement result. 2. The measured subject according to claim 1, wherein a difference item at the time of deletion indicating a range of a difference is held when comparing the average value of the data group and the measurement result acquired by the measurement result acquisition unit. Specific device.   The person-to-be-measured specifying means is configured to calculate a difference between measurement values according to the item of the person to be measured between the measurement result acquired by the measurement result acquisition means and the measurement result accumulated by the measurement result accumulation means. After calculating and extracting the measurement result in which the difference is within the range of the measured value difference indicated by the extraction difference item and making it a data group for specifying the person to be measured, the data group is measured The measurement results are grouped for each person, each of which is a measurement result group, the average value of the measurement values indicated by the measurement target criteria item of the measurement results for each measurement result group, and the measurement acquired by the measurement result acquisition means The difference between the measurement value indicated by the item of the person-to-be-measured person as a result is calculated, and the measurement result group including one or more items in which the difference is not less than the difference indicated by the difference item at the time of deletion is compared from the comparison target To exclude The measured person identification device according to claim 2, wherein.   The parameter holding means further includes an item of the number of extraction days indicating a period for comparing the measurement time, an item of a data deletion category indicating a deletion method when deleting the measurement result from the comparison target, and the measurement result from the comparison target. At least one of a data deletion threshold item indicating a range to be deleted and a necessary data number item indicating the number of cases required as a comparison target when the measurement results are grouped for each person to be measured 4. The measured person specifying device according to claim 2 or 3, wherein   The measurement subject specifying unit extracts the measurement result stored by the measurement result storage unit based on the item of the extraction time, and sets it as a data group for specifying the measurement subject. Item 4. A measurement subject specifying apparatus according to Item 4.   The measurement subject specifying unit excludes data to be compared from the measurement result group based on the data deletion category item and the data deletion threshold item among the measurement results included in the measurement result group. The device to be measured is specified according to claim 4 or 5.   The measurement subject specifying unit excludes the measurement result group in which the number of measurement results included in the measurement result group is smaller than the number indicated by the item of the necessary data number. The measured person specifying device according to any one of the above.   The measurement subject specifying means specifies the measurement subject of the existing measurement result group as the measurement subject acquired by the measurement result acquisition means when there is only one measurement result group. The measurement subject specifying device according to any one of claims 3 to 7.   The measurement subject specifying device according to any one of claims 1 to 8, further comprising measurement result receiving means for receiving measurement results from one or more biological information measuring devices. The biological information measuring device transmits a measurement result of biological information to the measurement subject specifying device together with its own transmission source address,
The measured person identification device according to claim 9, further comprising measured person identification information holding means for identifying the measured person from a transmission source address of the biological information measuring apparatus.   The measurement subject specifying device according to any one of claims 1 to 10, further comprising measurement means for measuring biological information.   The measurement subject specifying device according to any one of claims 1 to 11, further comprising display input means for inputting and confirming measurement subject information.   The measurement subject specifying apparatus according to any one of claims 1 to 12, further comprising a measurement result transmission unit that transmits a measurement result accumulated by the measurement result accumulation unit to a server. A second parameter holding unit different from the parameter holding unit;
The measurement subject specifying unit extracts the measurement result stored in the measurement result storage unit based on the items held by the parameter holding unit, and uses the measured person information corresponding to the extracted measurement result. When the person to be measured of the measurement result could not be specified, the measurement result accumulated by the measurement result accumulation unit is extracted based on the items held by the second parameter holding unit, and the extracted The measured person identification device according to any one of claims 1 to 13, wherein the measured person information corresponding to the measurement result is used to identify the measured person.   The second parameter holding means has a difference between an effective difference used when specifying a person to be measured based on a second person-to-be-measured person item serving as a reference for specifying a person to be measured and the second person-to-be-measured person item 15. The measurement subject specifying device according to claim 14, wherein the item is held.   The second parameter holding means further includes a priority item indicating which item is preferentially used among the items of the second person-to-be-measured person, and the measurement result input means is a measurement result of biological information. At least one of the item of the second number of extraction days indicating the period of input and the item of the second required number of data indicating the number of items required for comparison when the measurement results are grouped for each person to be measured The measurement subject specifying device according to claim 15, wherein the measurement subject specifying device is held. A measurement result acquisition step for acquiring a measurement result of biological information;
A measurement result accumulation step for accumulating the measurement subject information and the measurement result of the biological information corresponding to the measurement subject information;
A parameter holding step for holding an item that serves as a reference for identifying the person to be measured among the items for measuring the biological information;
The measurement result accumulated in the measurement result accumulation step is extracted based on the items held in the parameter holding step, and the measurement subject is measured using the measurement subject information corresponding to the extracted measurement result. A method for specifying a person to be measured, comprising: a step for specifying a person to be measured. Measurement result acquisition means for acquiring measurement results of biological information;
Measurement result accumulating means for accumulating the measurement subject information and the measurement result of the biological information corresponding to the measurement subject information;
Parameter holding means for holding an item that serves as a reference for specifying the measurement subject among items for measuring the biological information;
The measurement result accumulated by the measurement result accumulation unit is extracted based on the items held by the parameter holding unit, and the measurement subject is measured using the measurement subject information corresponding to the extracted measurement result. A program for specifying a person to be measured, which causes a computer to function as a means for specifying a person to be measured. Measurement result acquisition means for acquiring measurement results of biological information;
Measurement result accumulating means for accumulating the measurement subject information and the measurement result of the biological information corresponding to the measurement subject information;
Parameter holding means for holding an item that serves as a reference for specifying the measurement subject among items for measuring the biological information;
The measurement result accumulated by the measurement result accumulation unit is extracted based on the items held by the parameter holding unit, and the measurement subject is measured using the measurement subject information corresponding to the extracted measurement result. A computer-readable recording medium on which a measured person identification program that causes a computer to function as a measured person identification means is recorded.

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