JP2010167181A - Electronic manometer, information processor, measuring management system, measuring management program, and measuring management method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an electronic manometer with improved precision in measurement by setting a blood pressure calculation parameter to be suitable for a person to be measured. <P>SOLUTION: In the manometer 1, data indicating pressure pulse wave amplitude by each inner pressure of an air bag 13 is recorded in a recording memory 7 as a measurement result together with a blood pressure value calculated by a blood pressure calculating part 43. The parameter to be used in calculating the blood pressure in the blood pressure calculating part 43 is stored in a processing memory 6. An optimization processing part 41 calculates the parameter at a prescribed timing, based on the data which indicates the pressure pulse wave amplitude by each inner pressure of the air bag 13 recorded in the memory 7, rewrites the parameter stored in the memory 6, and then, optimizes the parameter. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an electronic sphygmomanometer, an information processing device, a measurement management system, a measurement management program, and a measurement management method, and in particular, an electronic sphygmomanometer that calculates a blood pressure value using a parameter for calculation, and the electronic sphygmomanometer The present invention relates to an information processing apparatus that performs processing for measurement management, a measurement management system, a measurement management program, and a measurement management method.

  Blood pressure is one of the indices for analyzing cardiovascular diseases, and risk analysis based on blood pressure is effective in preventing cardiovascular diseases such as stroke, heart failure and myocardial infarction.

  Conventionally, diagnosis has been performed based on blood pressure (anytime blood pressure) measured at a medical institution such as during a hospital visit or during a medical examination. However, recent studies have shown that blood pressure measured at home (home blood pressure) is more useful for diagnosis of cardiovascular diseases than blood pressure at any time. Accordingly, blood pressure monitors used at home have become widespread.

  Most of electronic sphygmomanometers currently in use calculate blood pressure values using an oscillometric blood pressure calculation algorithm. When measuring blood pressure with an oscillometric electronic sphygmomanometer, a cuff containing an air bag is wrapped around a measurement site such as the upper arm, and the internal pressure (cuff pressure) of the air bag is increased to a predetermined pressure, then gradually or stepwise. The pressure is reduced to The electronic sphygmomanometer detects a change in arterial volume that occurs during decompression as a pressure change (pressure pulse wave amplitude) superimposed on the cuff pressure, and applies a predetermined algorithm to the change in pressure pulse wave amplitude. Determine systolic blood pressure and diastolic blood pressure.

Generally, the cuff pressure at the point where the amplitude of the pressure pulse wave obtained during decompression suddenly increases approximates the systolic blood pressure, and conversely, the cuff pressure at the point where it suddenly decreases decreases to the diastolic blood pressure. Conventionally, various algorithms have been studied for detecting these points in an oscillometric electronic blood pressure monitor. For example, Japanese Patent Laid-Open No. 62-268532 (hereinafter referred to as Patent Document 1) calculates a blood pressure using a value obtained by multiplying the maximum value of the pressure pulse wave amplitude by a predetermined ratio (α, β) as follows. An electronic sphygmomanometer is disclosed that calculates a cuff pressure that obtains a pressure pulse wave amplitude that matches (or is closest) to the parameter as a blood pressure value as a parameter (FIG. 5 of Patent Document 1, etc.):
Systolic blood pressure calculation parameter = pressure pulse wave amplitude maximum value × α,
Diastolic blood pressure calculation parameter = pressure pulse wave amplitude maximum value × β.

Japanese Patent Laid-Open No. 62-268532

  However, at present, there is no theoretical basis that the cuff pressure at the point where the pressure pulse wave amplitude changes suddenly matches the systolic blood pressure and the diastolic blood pressure. Therefore, the ratio (α, β) for determining the blood pressure calculation parameter disclosed in Patent Document 1 is empirically or statistically based on a large number of blood pressure values and pressure pulse wave amplitude change patterns (hereinafter, envelopes). I had to decide. Further, the shape of the envelope differs greatly depending on the mechanical characteristics of the artery, how to wind the cuff, the decompression speed, and the like. Therefore, the shape of the envelope may be different for the subjects having the same blood pressure value. Also, the shape of the envelope may change for the same subject due to the progress of arteriosclerosis. For this reason, the blood pressure calculation parameter disclosed in Patent Document 1 is not necessarily the optimum parameter for all the persons to be measured, and depending on the person to be measured, the calculated blood pressure value is different from the actual blood pressure value. There is also a case. If the error in the calculated blood pressure value is large, the distrust of the measurement subject with respect to the sphygmomanometer increases. As a result, there is a problem that blood pressure is not continuously measured at home. In addition, there may be a problem that hypertension treatment is performed based on a blood pressure value having a large error.

  The present invention has been made in view of such a problem, and an electronic sphygmomanometer, an information processing apparatus, and measurement management capable of improving measurement accuracy by setting a blood pressure calculation parameter suitable for a measurement subject. It is an object to provide a system, a measurement management program, and a measurement management method.

  In order to achieve the above object, according to one aspect of the present invention, an electronic sphygmomanometer includes an air bag that compresses a measurement site, an adjustment unit that adjusts the pressure in the air bag, and a change in arterial volume at the measurement site. Detecting means for detecting a pressure wave that is a pressure change of the air bag, a calculating means for calculating a blood pressure value based on a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag, and parameters used in the calculating means First storage means for storing information for obtaining information, second storage means for storing information indicating a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag, in association with the blood pressure value; Using the information indicating the change in the amplitude of the pressure pulse wave with respect to the change in the air bag pressure stored in the storage means, the parameter used in the calculation means is determined, and the parameter stored in the first storage means Determined And a updating means for updating the meter.

  Preferably, the updating unit performs pattern classification on information indicating a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag stored in the second storage unit, and a parameter associated with the classified pattern in advance. Are determined as parameters used by the calculation means.

  Preferably, the second storage unit stores a parameter used when the blood pressure value is calculated by the calculation unit in association with the blood pressure value.

  Preferably, the update means changes the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag stored in association with each of at least two or more blood pressure values obtained at different measurements in the second storage means The parameter used by the calculation means is determined using the information indicating. More preferably, the second storage unit stores information on the measurement date in association with the blood pressure value, and is stored in association with the blood pressure value obtained at the time of a different measurement used when the parameter is determined by the update unit. The information indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag is the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag stored in association with the blood pressure value obtained on different measurement days. It is information to show.

  Preferably, the electronic sphygmomanometer further includes display means for displaying the blood pressure value calculated by the calculating means together with parameters used when the blood pressure value is calculated by the calculating means.

  Preferably, the calculating means uses the parameter updated by the updating means to calculate a blood pressure value based on information indicating a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag stored in the second storage means. calculate.

  Preferably, the first storage means stores the parameter in association with the person to be measured, and the calculating means calculates the blood pressure value of the person to be measured using the parameter corresponding to the person to be measured.

  Preferably, the update unit determines the timing for executing the parameter determination and update based on the information stored in the second storage unit and indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag. It includes determination means and presentation means for presenting the timing.

  Preferably, the update unit initializes the parameter by updating the parameter stored in the first storage unit to a specified initial value.

  According to another aspect of the present invention, the information processing apparatus is communicably connected to an electronic sphygmomanometer, the electronic sphygmomanometer includes an air bag that compresses a measurement site, an adjustment unit that adjusts the pressure in the air bag, and a measurement Detection means for detecting a change in arterial volume at a site as a pressure wave that is a change in pressure of the air bag, and a calculation means for calculating a blood pressure value based on a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag A receiving means for receiving from the electronic sphygmomanometer information indicating a change in the pressure pulse wave amplitude with respect to a change in the pressure of the air bag, and information indicating a change in the pressure pulse wave amplitude with respect to the change in the pressure of the air bag; , A determining means for determining a parameter used in the calculating means, and a transmitting means for transmitting the parameter determined by the determining means to the electronic sphygmomanometer.

  According to still another aspect of the present invention, the measurement management system includes an electronic sphygmomanometer and an information processing device, the electronic sphygmomanometer includes an air bag that compresses the measurement site, and an adjustment unit that adjusts the pressure in the air bag. Detecting means for detecting a change in the arterial volume at the measurement site as a pressure wave that is a change in pressure of the air bag, and a calculating means for calculating a blood pressure value based on a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag And first storage means for storing information for obtaining parameters used in the calculation means, and first information for storing the information indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag in association with the blood pressure value. 2 storing means, transmitting means for transmitting the information indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag, stored in the second storing means, to the information processing apparatus, parameters from the information processing apparatus Receive A receiving means; and an updating means for updating the parameter stored in the first storage means to the parameter received by the receiving means. A receiving means for receiving information indicating a change in the amplitude of the wave; a determining means for determining a parameter used in the calculating means using the information indicating the change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag; Transmitting means for transmitting the parameter determined by the means to the electronic blood pressure monitor.

  According to still another aspect of the present invention, the measurement management program includes an air bag that compresses the measurement site, an adjustment unit that adjusts the pressure in the air bag, and a change in the arterial volume at the measurement site by a change in the pressure of the air bag. Update of parameters used in the calculation means of the electronic sphygmomanometer including detection means for detecting as a certain pressure wave and calculation means for calculating the blood pressure value based on the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag A program for causing a computer to execute processing for acquiring information indicating an amplitude change of a pressure pulse wave with respect to a change in pressure of an air bag from an electronic sphygmomanometer, and a pressure against a change in pressure of the air bag Using information indicating a change in amplitude of the pulse wave, determining a parameter used in the calculating means, and outputting the determined parameter to the electronic sphygmomanometer To be executed.

  According to still another aspect of the present invention, the measurement management method is a measurement management method in a measurement management system including an electronic sphygmomanometer and an information processing device, and the electronic sphygmomanometer includes an air bag that compresses a measurement site, an air Adjustment means for adjusting the pressure in the bag, detection means for detecting a change in the arterial volume at the measurement site as a pressure wave that is a change in pressure of the air bag, and a change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag Based on the calculation means for calculating the blood pressure value, the first storage means for storing information for obtaining parameters used in the calculation means, the pressure pulse wave with respect to the change in the pressure of the air bag in association with the blood pressure value A second storage unit that stores information indicating a change in amplitude, and the information processing apparatus acquires information indicating a change in amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag from the electronic blood pressure monitor; In the information processing apparatus, using the information indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag, the step of determining the parameter used in the calculation means, and the determined parameter from the information processing apparatus to the electronic blood pressure And a step of updating the parameter stored in the first storage means to the parameter output from the information processing device in the electronic sphygmomanometer.

  According to the present invention, blood pressure calculation parameters suitable for the measurement subject are set in the electronic sphygmomanometer. Thereby, the error of the calculated blood pressure value can be reduced, and the measurement accuracy can be improved.

It is a block diagram which shows the specific example of the hardware constitutions of the blood-pressure measurement apparatus (henceforth a blood pressure meter) concerning embodiment. It is a figure which shows the specific example of a structure of the blood-pressure calculation part contained in CPU of a blood pressure meter. It is a figure explaining the calculation method of the blood pressure value in the calculation part contained in a blood pressure calculation part. It is a figure which shows the specific example of the measurement result recorded on the memory of a blood pressure meter. It is a figure which shows the specific example of the envelope data recorded on the memory of a blood pressure meter. It is a figure which shows the specific example of a structure of the optimization process part contained in CPU of a blood pressure meter. It is a figure which shows the specific example of the envelope pattern memorize | stored in the pattern memory | storage part of a blood pressure meter. It is a flowchart which shows the specific example of the flow of the blood-pressure measurement operation | movement with a sphygmomanometer. It is a figure which shows the example of a screen which displays a measurement result with a blood pressure meter. It is a flowchart which shows the specific example of the flow of the optimization process in a blood pressure meter. It is a figure which shows the specific example of a structure of a measurement management system. It is a flowchart which shows the flow of the optimization process in a measurement management system.

  Embodiments of the present invention will be described below with reference to the drawings. In the following description, the same parts and components are denoted by the same reference numerals. Their names and functions are also the same.

  FIG. 1 is a block diagram showing a specific example of a hardware configuration of a blood pressure measurement device (hereinafter referred to as a sphygmomanometer) 1 according to an embodiment of the present invention.

  Referring to FIG. 1, sphygmomanometer 1 includes a main body 2 and a cuff 5 wound around an upper arm that is a measurement site, and an air bag 13 contained in cuff 5 is connected to main body 2 by air tube 10. Is done. On the front surface of the main body 2, an operation unit 3 including switches 31 to 34 and a display unit 4 for displaying measurement results and the like are arranged. The switch 31 is a switch for instructing ON / OFF of the power supply. The switch 32 is a switch for instructing the start of measurement. The switch 33 is a switch for instructing to stop the operation. The switch 34 is a switch for instructing to display a measurement result stored in a memory, which will be described later, on the display unit 4.

  The air bag 13 is connected to a pressure sensor 23, a pump 21, and a valve 22 that measure changes in the internal pressure of the air bag 13 with the air tube 10 interposed therebetween. Pressure sensor 23, pump 21, and valve 22 are connected to oscillation circuit 28, drive circuit 26, and drive circuit 27, respectively, and oscillation circuit 28, drive circuit 26, and drive circuit 27 are each a blood pressure monitor. 1 is connected to a CPU (Central Processing Unit) 40 that controls the whole.

  The CPU 40 is further connected to a display unit 4, an operation unit 3, a processing memory 6, a recording memory 7, a clock 52, and a power supply 53. The processing memory 6 stores a control program executed by the CPU 40 and a ratio of a blood pressure calculation parameter (hereinafter referred to as a blood pressure calculation parameter) to a maximum value of the pressure pulse wave amplitude (hereinafter referred to as a parameter ratio). Remember. Further, the processing memory 6 also serves as a work area when the CPU 40 executes the program.

  The CPU 40 is driven by receiving power supply from the power supply 53. The CPU 40 executes a predetermined program stored in the memory 6 based on the operation signal input from the operation unit 3, and outputs a control signal to the drive circuit 26 and the drive circuit 27. The drive circuit 26 and the drive circuit 27 drive the pump 21 and the valve 22 according to the control signal. The drive of the pump 21 is controlled by a drive circuit 26 according to a control signal from the CPU 40, and air is injected into the air bladder 13. The opening and closing of the valve 22 is controlled by a drive circuit 27 according to a control signal from the CPU 40, and the air in the air bladder 13 is discharged.

  The pressure sensor 23 is a capacitance type pressure sensor, and its capacitance value changes due to a change in the internal pressure of the air bladder 13. The oscillation circuit 28 inputs a signal having an oscillation frequency corresponding to the capacitance value of the pressure sensor 23 to the CPU 40. The CPU 40 executes a predetermined process based on the change in the internal pressure of the air bladder 13 obtained from the pressure sensor 23, and outputs the control signal to the drive circuit 26 and the drive circuit 27 according to the result. Further, the CPU 40 calculates a blood pressure value based on the change in the internal pressure of the air bladder 13 obtained from the pressure sensor 23, performs a process for displaying the measurement result on the display unit 4, and displays data and a control signal. Are output to the display unit 4. Further, the CPU 40 performs a process for storing the blood pressure value in the memory 7. At that time, the CPU 40 acquires time information from the clock 52 as necessary.

  The CPU 40 includes an optimization processing unit 41, a recording processing unit 42, and a blood pressure calculation unit 43. These are functions mainly formed in the CPU 40 when the CPU 40 reads out and executes the control program stored in the memory 6 in accordance with an operation signal from the operation unit 3, but at least a part of these functions. However, it may be formed by the hardware configuration shown in FIG.

  The blood pressure calculation unit 43 further includes an input unit 431, a reading unit 433, and a calculation unit 435, as shown in FIG. The input unit 431 receives the input of the internal pressure of the air bladder 13 detected by the pressure sensor 23 and inputs the pressure value to the calculation unit 435. The reading unit 433 reads the parameter ratio stored in the processing memory 6 in association with the person to be measured, and inputs the parameter ratio to the calculation unit 435. The calculation unit 435 calculates a blood pressure value from these input values.

  FIG. 3 is a diagram for explaining a blood pressure value calculation method in the calculation unit 435. Referring to FIG. 3, diastolic blood pressure (minimum blood pressure value) and systolic blood pressure (maximum blood pressure value) are detected as pressure changes superimposed on the internal pressure for each internal pressure (cuff pressure) of air bag 13. The pressure pulse wave amplitude is obtained by the internal pressure (cuff pressure) of the air bag 13 at the pressure pulse wave amplitude corresponding to the diastolic blood pressure calculation parameter and the systolic blood pressure calculation parameter. A line obtained by connecting the pressure pulse wave amplitude for each internal pressure (cuff pressure) of the air bag 13 shown in FIG. 3 in the order of the cuff pressure is referred to as an “envelope” in the following description.

  The diastolic blood pressure calculation parameter and the systolic blood pressure calculation parameter are each obtained by multiplying the maximum value of the pressure pulse wave amplitude by the above-described parameter ratio. The calculation unit 435 calculates a diastolic blood pressure calculation parameter and a systolic blood pressure calculation parameter by obtaining a pressure pulse wave from the input pressure value and multiplying the maximum value of the amplitude by the read parameter ratio. Then, the internal pressure of the air bladder 13 that matches the blood pressure calculation parameter is calculated as a diastolic blood pressure and a systolic blood pressure, respectively.

  The recording memory 7 records the measurement result. The recording processing unit 42 performs a process for recording information including the blood pressure value calculated by the blood pressure calculating unit 43 in the recording memory 7. FIG. 4 is a diagram illustrating a specific example of the measurement result recorded in the memory 7. Referring to FIG. 4, blood pressure calculation unit 43 includes, for example, information indicating the measurement date and time and the person to be measured in the systolic blood pressure value and diastolic blood pressure value and heart rate (measured value) calculated by blood pressure calculation unit 43. (User information), information related to blood pressure calculation parameters used in blood pressure value calculation, and envelope data described later are recorded in association with each other. Specifically, the information regarding the blood pressure calculation parameter to be recorded corresponds to the parameter ratio described above. Further, the recording memory 7 includes a flag for each envelope data, and as shown in FIG. 4, for each envelope data, the flag indicates whether the data has been used for the optimization process described later. It is recorded.

  As described above, the envelope data refers to data indicating the pressure pulse wave amplitude for each internal pressure (cuff pressure) of the air bladder 13, and specifically, as shown in FIG. It is composed of a combination of 13 internal pressures (cuff pressure) and pressure pulse wave amplitude.

  As described above, the processing memory 6 stores the parameter ratio used in calculating the blood pressure value of the measurement subject in association with the measurement subject registered in advance. The optimization processing unit 41 included in the CPU 40 further includes a determination unit 411, a reading unit 412, a classification unit 413, a pattern storage unit 414, a determination unit 415, and a writing unit 416, as shown in FIG. A parameter ratio stored in association with each measurement subject in the processing memory 6 is optimized at a predetermined timing, and an optimization process for optimizing a blood pressure calculation parameter to be used is performed.

  The determination unit 411 determines the timing for executing the optimization process. As a determination method, for example, among the envelope data recorded in the recording memory 7 shown in FIG. 4, the number of unused envelope data not used in the previous optimization process is predetermined. There is a method of determining that the optimization process is executed when the number of the above is exceeded. The “predetermined number” is preferably twice or more. Alternatively, using the measurement date instead of the number of times, it may be determined that the optimization process is executed when the measurement date of the envelope data is equal to or greater than a predetermined number of days. The “predetermined number of days” is preferably two days or more. By doing so, it is possible to improve envelope classification accuracy in an optimization process described later, and it is possible to further optimize the blood pressure calculation parameter.

  In addition, as another example of the determination of the timing for executing the optimization process, the date and time when the optimization process is executed is stored, and when a predetermined period has elapsed since the execution of the previous optimization process, Examples include a method for determining that the optimization process is to be executed, and a determination for executing the optimization process when a predetermined switch is operated. In the following description, it is assumed that the optimization process is executed when the number of unused envelope data exceeds a predetermined value, but the same applies to the case where the above-described other methods are used. And When determining that the timing for executing the optimization process is reached, the determination unit 411 inputs a signal instructing the execution of the optimization process to the reading unit 412.

  The reading unit 412 reads the envelope data recorded in the recording memory 7 in association with the measurement value of a predetermined person according to the signal from the determination unit 411 and inputs the envelope data to the classification unit 413. Here, all of the recorded envelope data may be read, or only the envelope data recorded in the flag that is not used for the optimization process is read out of the recorded envelope data. Alternatively, a predetermined number of envelope data may be read back from the present time.

  The classification unit 413 classifies the envelope obtained from the input envelope data into one of the envelope patterns stored in the pattern storage unit 414. FIG. 7 is a diagram illustrating a specific example of the envelope pattern stored in the pattern storage unit 414. Referring to FIG. 7, the pattern storage unit 414 stores several envelope patterns and parameter ratios in the case of the patterns. These patterns are registered in advance, and a large number of envelope data are pre-classified using, for example, the slope (differential value) of the envelope from the maximum value of the pressure pulse wave amplitude to the high and low pressure sides. It is a thing. Furthermore, for example, statistical processing such as weighted average according to the number of data is performed on each pattern, so that a reference blood pressure calculation parameter is associated and stored in advance.

  The classification unit 413 may calculate the correlation between the envelope obtained from the input envelope data and the envelope pattern stored in the pattern storage unit 414, and may classify based on the correlation. You may classify | categorize by comparing characteristic values, such as the inclination (differential value) of the envelope from a wave amplitude maximum value to a high voltage | pressure side and a low voltage | pressure side. The classification result for each envelope read by the reading unit 412 is input to the determination unit 415.

  The determination unit 415 specifies the envelope pattern of the measurement subject based on the classification result for each envelope. Furthermore, the parameter ratio suitable for the measurement subject is determined as the parameter ratio stored in association with the pattern storage unit 414 for the determined envelope pattern, and the parameter ratio determined by the writing unit 416 is determined. Enter the ratio. The writing unit 416 updates the parameter ratio associated with the measured person by writing the determined parameter ratio in the processing memory 6 in association with the measured person. Update the calculation parameters. Further, the writing unit 416 rewrites the envelope data flag used in the optimization process, recorded in the recording memory 7, with information indicating that the envelope data has been used in the optimization process.

  Note that the determination unit 411 stores in advance the parameter ratios stored in the processing memory 6 in association with each person to be measured by detecting a predetermined specific operation in the operation unit 3. It is determined that it is the initialization timing to return to the initial value. If it is determined that the timing is initialization, the determination unit 411 inputs a signal instructing execution of initialization to the writing unit 416. The writing unit 416 initializes the parameter ratio by writing an initial value stored in advance in the processing memory 6 in association with the measurement subject in accordance with the signal from the determination unit 411.

  FIG. 8 is a flowchart showing a specific example of the flow of blood pressure measurement operation in the sphygmomanometer 1. The operation shown in the flowchart of FIG. 8 is started when the switch 31 included in the operation unit 3 is pressed and the power is turned on, and the CPU 40 reads the control program stored in the processing memory 6 and reads the control program shown in FIG. This is realized by controlling each unit shown in FIG.

  Referring to FIG. 8, when the power is turned on and the operation is started, in step S101, the CPU 40 initializes each part and then monitors whether the switch 32 is operated. When it is detected that the switch 32 has been pressed (YES in step S103), the measurement subject is specified in the CPU 40 in step S105. Examples of the specifying method in step S105 include a method in which the operation unit 3 includes a switch for specifying a person to be measured (not shown), and the specifying is performed by detecting which switch is pressed. In step S107, the reading unit 433 of the blood pressure calculation unit 43 reads the parameter ratio stored in association with the measured person specified in step S105 from the processing memory 6.

  In step S <b> 109, the CPU 40 outputs a control signal to the drive circuit 26 to pressurize the air bladder 13. When it is detected from the pressure signal from the pressure sensor 23 that the internal pressure of the air bag 13 has reached a predetermined pressure (YES in step S111), the CP 40 outputs a control signal to the drive circuit 26 in step S113 to output the air bag 13. The pressurization of the air bag 13 is terminated, a control signal is output to the drive circuit 27, the valve 22 is opened, and the pressure reduction of the air bag 13 is started. The predetermined pressure is higher than a general systolic blood pressure and is, for example, about 200 mmHg. After step S113, the air bag 13 is depressurized at a predetermined depressurization speed of, for example, about 4 mmHg / sec.

  When the pressure reduction of the air bladder 13 is started in step S113, the blood pressure calculation unit 43 extracts a vibration component accompanying the volume change of the artery superimposed on the internal pressure of the air bladder 13 obtained during the pressure reduction in step S115, and performs a predetermined calculation. The blood pressure value is calculated. In step S115, the input unit 431 of the blood pressure calculation unit 43 receives an input of the pressure value from the pressure sensor 23 to calculate an envelope, and the calculation unit 435 uses the parameter ratio read in step S107 to calculate the diastolic blood pressure. After calculating the calculation parameter and the systolic blood pressure parameter, the systolic blood pressure value and the diastolic blood pressure value are calculated by specifying the internal pressure of the air bag 13 at the position of the blood pressure calculation parameter in the envelope.

  When the blood pressure value is determined by the blood pressure calculation unit 43 in the calculation process in step S115 (YES in step S117), the CPU 40 outputs a control signal to the drive circuits 26 and 27 to set the pressure in the air bladder 13 to atmospheric pressure. After the release, in step S119, processing for displaying the systolic blood pressure and diastolic blood pressure calculated in step S115 on the display unit 4 as measurement results is performed, as shown in FIG. 9A. Display the result screen. That is, in step S119, as shown in FIG. 9A, the blood pressure value is calculated using the blood pressure calculation parameter that is dedicated to the subject, that is, is associated with the subject. Is displayed together with the blood pressure value. Furthermore, in step S119, preferably, as shown in FIG. 9B, parameters used for blood pressure calculation (parameter ratio in the example of FIG. 9B) may be displayed together with the blood pressure value. By doing in this way, the user can confirm that the blood pressure calculation parameter corresponding to the person to be measured is used when calculating the blood pressure value in the sphygmomanometer 1, and increases the reliability of the measurement result. be able to.

  In step S121, the recording processing unit 42 associates the blood pressure value calculated in step S115 with information indicating the measurement subject, parameter ratios, envelope data, and the like as information regarding the blood pressure calculation parameters used. As shown in FIG. 4, a process for recording in the recording memory 7 is executed, and a series of operations is terminated.

  FIG. 10 is a flowchart showing a specific example of the flow of optimization processing in the sphygmomanometer 1. The optimization process shown in the flowchart of FIG. 10 starts at a predetermined timing when the sphygmomanometer 1 is in a standby state (a state in which no measurement operation is performed) or the power is turned off, and the CPU 40 stores in the processing memory 6. This is realized by reading a stored control program and controlling each unit shown in FIGS. 1 and 6. In step S <b> 201, the determination unit 411 refers to the envelope data flag recorded in the recording memory 7 for the predetermined measurement subject, and confirms the number of envelope data that has not yet been used for the optimization process. . As a result, when the number is equal to or greater than the predetermined number (YES in step S203), the determination unit 411 determines that it is time to execute the optimization process and update the blood pressure calculation parameter.

  When the determination is made as described above, the reading unit 412 reads the envelope data used for the optimization process from the recording memory 7 in step S204. In step S204, all the recorded envelope data may be read out as the envelope data used for the optimization process, or the flag is not used for the optimization process among the recorded envelope data. May be read out, or a predetermined number of envelope data may be read back from the present time.

  FIG. 10 shows an example in which when the determination unit 411 determines that it is time to update the blood pressure calculation parameter in step S203, the process automatically proceeds to step S204. If so, an output prompting the user's operation, such as a display prompting the CPU 4 to input an instruction on whether or not to perform the optimization process, is performed on the display unit 4. Only when it is detected that a prescribed operation (for example, a predetermined switch is pressed) instructing the execution of the optimization process according to the output may be performed, the process may proceed to step S204.

  In step S205, the classification unit 413 classifies and determines the envelopes obtained from the envelope data read in step S204 into the envelope patterns shown in FIG. 7 stored in the pattern storage unit 414, respectively. The unit 415 specifies the envelope pattern of the measurement subject based on the classification result of each envelope. In step S207, the determination unit 415 determines the parameter ratio stored in the pattern storage unit 414 in association with the envelope pattern specified in step S205 as a parameter ratio suitable for the measurement subject. In S209, the writing unit 416 writes the determined parameter ratio in the processing memory 6. In step S211, the writing unit 416 uses the flag stored in the recording memory 7 for the envelope data read out in step S204 and used in step S205, and the envelope data uses the flag in the optimization process. It is updated to information indicating that it has been received.

  Through the above processing, the parameter ratio stored in the processing memory 6 in association with the subject is updated. That is, by executing the above optimization process in the sphygmomanometer 1, in the sphygmomanometer 1, the parameter used for blood pressure calculation for each user at an appropriate timing is changed to the optimum parameter based on the measurement results so far. Updated. Thus, the blood pressure value is calculated using the updated parameter ratio during the subsequent blood pressure measurement operation. Therefore, the blood pressure monitor 1 can improve the measurement accuracy.

  The new parameter ratio is not only used in the subsequent blood pressure measurement operation, but also applied to the envelope data obtained in the measurement operation already performed and recorded in the memory 7 for recording, The blood pressure value may be calculated again. Thereby, the measurement accuracy in the measurement operation that has already been performed, for example, immediately before the optimization process can be improved afterwards.

[Modification]
The above example is an example in which blood pressure calculation parameter optimization processing is performed in the sphygmomanometer 1. For example, as shown in FIG. 11, the sphygmomanometer 1 is connected to another device so as to be communicable with the measurement management system. Is configured, the measurement management may be performed by performing an optimization process in the other apparatus. In FIG. 11, as a specific example of the configuration of the measurement management system, an example is shown in which the sphygmomanometer 1 is connected to the processing device 9 with the Internet in between to perform communication. For example, a general computer corresponds to the processing device 9. The communication method is not limited to communication with the Internet in between as shown in FIG. 11, and may be a method in which the sphygmomanometer 1 and the processing device 9 are directly connected to perform direct communication.

  In the modification, among the functions shown in FIG. 6 included in the optimization processing unit 41 of the sphygmomanometer 1, the classification unit 413, the pattern storage unit 414, and the determination unit 415 are controlled by the CPU of the processing device 9. Is realized on the processing device 9 side.

  FIG. 12 is a flowchart showing the flow of optimization processing in the measurement management system including the sphygmomanometer 1 and the processing device 9 when the processing device 9 functions as an optimization device that performs optimization processing.

  Referring to FIG. 12, in the case of the modified example, in sphygmomanometer 1, when the processes of steps S <b> 201 to S <b> 204 are performed and it is determined by determination unit 411 that the blood pressure calculation parameter is updated, The unused envelope data read by the reading unit 412 in step S204 is transmitted to the processing device 9 from the communication unit of the sphygmomanometer 1 (not shown) in step S301.

  Also in FIG. 12, when it is determined in step S203 that it is the timing for updating the blood pressure calculation parameter in the determination unit 411, the envelope data is automatically read out in step S204, and the processing device 9 in step S301. As described above, the above-described example is not detected until it is detected that a prescribed operation (for example, a predetermined switch is pressed) that instructs execution of the optimization process is performed. You may make it transfer to the process of step S204. Further, in the CPU 40, an output for prompting the user's operation is performed, for example, a display for prompting an input of whether or not to transmit to the processing device 9 is performed on the display unit 4, and the CPU 40 transmits according to the output. The envelope data may be transmitted to the processing device 9 in step S301 only after it is detected that a specified operation to be instructed (for example, a predetermined switch is pressed) is performed. Furthermore, envelope data may be transmitted / stored in advance to the processing device 9 and the envelope data stored in the processing device 9 may be read according to an instruction from the sphygmomanometer 1.

  In step S303, the processing device 9 receives the envelope data transmitted from the sphygmomanometer 1 in step S301 by a communication unit (not shown), and executes the processes in steps S205 and S207 described above. That is, in step S205, the classification unit 413 classifies the envelopes obtained from the envelope data received in step S303 into the envelope patterns shown in FIG. 7 stored in the pattern storage unit 414, respectively. The determination unit 415 specifies the envelope pattern of the measurement subject based on the classification result of each envelope. In step S207, the determination unit 415 determines the parameter ratio stored in the pattern storage unit 414 in association with the envelope pattern specified in step S205 as the parameter ratio suitable for the measurement subject. The determined parameter ratio is transmitted to the sphygmomanometer 1 by a communication unit (not shown) in step S305.

  In step S307, the sphygmomanometer 1 receives the parameter ratio transmitted from the processing device 9 in step S305 by a communication unit (not shown), and the processes in steps S209 and S211 described above are executed. That is, in step S209, the writing unit 416 writes the parameter ratio received in step S307 in the processing memory 6. In step S211, the writing unit 416 uses the flag stored in the recording memory 7 for the envelope data read out in step S204 and used in step S205, and the envelope data uses the flag in the optimization process. It is updated to information indicating that it has been received.

  Even when the above optimization processing is executed by the processing device 9, the sphygmomanometer 1 updates the parameters used for blood pressure calculation for each user at appropriate timing based on the measurement results so far. The Thereby, in the sphygmomanometer 1, the measurement accuracy can be improved. Furthermore, even when the blood pressure monitor 1 does not have a function for performing the optimization process, the blood pressure calculation parameter of the blood pressure monitor 1 can be optimized using the processing device 9.

  Furthermore, a program for causing a computer to execute optimization processing can be provided as a measurement management program. The measurement management program is stored on a computer-readable recording medium such as a flexible disk attached to the computer, a CD-ROM (Compact Disk-Read Only Memory), a ROM (Read Only Memory), a RAM (Random Access Memory), and a memory card. It can also be recorded and provided as a program product. Alternatively, the program can be provided by being recorded on a recording medium such as a hard disk built in the computer. It can also be provided by downloading via a network.

  The measurement management program may be a program module that is provided as a part of a computer operating system (OS) and calls necessary modules in a predetermined arrangement at a predetermined timing to execute processing. . In that case, the program itself does not include the module, and the process is executed in cooperation with the OS. A program that does not include such a module can also be included in the measurement management program.

  The measurement management program may be provided by being incorporated in a part of another program. Even in this case, the program itself does not include the module included in the other program, and the process is executed in cooperation with the other program. Programs incorporated in such other programs can also be included in the measurement management program.

  The provided program product is installed in a program storage unit such as a hard disk and executed. The program product includes the program itself and a recording medium on which the program is recorded.

  For example, when a personal computer or the like owned by the user is used as the processing device 9, the optimization process can be performed by reading and executing the measurement management program on the personal computer. In this case, the user can easily optimize the blood pressure calculation parameter by connecting the sphygmomanometer 1 to the personal computer. Alternatively, for example, a server device installed by a sphygmomanometer manufacturer or the like can be used as the processing device 9. In this case, the user can easily optimize the blood pressure calculation parameter by connecting the sphygmomanometer 1 to the server device used as the processing device 9 via the Internet. In addition, a sphygmomanometer manufacturer or the like can provide a service for optimizing a blood pressure calculation parameter to a sphygmomanometer user.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  DESCRIPTION OF SYMBOLS 1 Blood pressure monitor, 2 main-body part, 3 operation part, 4 display part, 5 cuff, 6,7 memory, 9 processing apparatus, 10 air pipe, 13 air bag, 21 pump, 22 valve, 23 pressure sensor, 26, 27 drive Circuit, 28 oscillator circuit, 31-34 switch, 40 CPU, 52 clock, 53 power supply, 411 determination unit, 412 reading unit, 413 classification unit, 414 pattern storage unit, 415 determination unit, 416 writing unit, 431 input unit, 433 Reading unit, 435 calculating unit.

Claims (14)

An air bag that compresses the measurement site;
Adjusting means for adjusting the pressure in the air bag;
Detecting means for detecting a change in arterial volume at the measurement site as a pressure wave that is a pressure change in the air bag;
Calculation means for calculating a blood pressure value based on a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bladder;
First storage means for storing information for obtaining parameters used in the calculation means;
Second storage means for storing information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag in association with the blood pressure value;
Using the information indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag stored in the second storage means, a parameter used in the calculation means is determined, and the first storage An electronic sphygmomanometer comprising: update means for updating the parameter stored in the means to the determined parameter.   The update unit performs pattern classification on information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag stored in the second storage unit, and is associated in advance with the classified pattern. The electronic sphygmomanometer according to claim 1, wherein a parameter is determined as a parameter used by the calculation unit.   The electronic sphygmomanometer according to claim 1, wherein the second storage unit stores a parameter used in calculating the blood pressure value in the calculation unit in association with the blood pressure value.   The update means has at least two or more blood pressure values obtained during different measurements stored in the second storage means in association with changes in the pressure of the air bag stored in association with each of the blood pressure values. The electronic sphygmomanometer according to claim 1, wherein a parameter used in the calculation unit is determined using information indicating a change. The second storage means stores information on a measurement date in association with the blood pressure value,
The information indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag stored in association with the blood pressure value obtained at the time of the different measurement, which is used when determining the parameter by the update means, is different. The electronic sphygmomanometer according to claim 4, wherein the electronic sphygmomanometer is information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag stored in association with a blood pressure value obtained on a measurement date.   The electronic sphygmomanometer according to claim 1, further comprising display means for displaying the blood pressure value calculated by the calculating means together with a parameter used when the blood pressure value is calculated by the calculating means. .   The calculating means uses the parameter updated by the updating means, based on information indicating a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag stored in the second storage means. The electronic sphygmomanometer according to claim 1, which calculates a value. The first storage means stores the parameter in association with the person to be measured;
The electronic sphygmomanometer according to claim 1, wherein the calculating means calculates a blood pressure value of the measurement subject using the parameter corresponding to the measurement subject. The updating means includes
Judging means for judging the timing for executing the determination and update of the parameter based on the information stored in the second storage means and indicating the change in the amplitude of the pressure pulse wave with respect to the change in the pressure of the air bag; ,
The electronic sphygmomanometer according to claim 1, further comprising presentation means for presenting the timing.   The electronic sphygmomanometer according to claim 1, wherein the updating unit initializes the parameter by updating the parameter stored in the first storage unit to a predetermined initial value. An information processing apparatus communicably connected to an electronic blood pressure monitor,
The electronic sphygmomanometer is
An air bag that compresses the measurement site;
Adjusting means for adjusting the pressure in the air bag;
Detecting means for detecting a change in the arterial volume at the measurement site as a pressure wave that is a pressure change in the bladder;
Calculating means for calculating a blood pressure value based on a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bladder,
Receiving means for receiving, from the electronic sphygmomanometer, information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag;
Determining means for determining a parameter used in the calculating means, using information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bladder;
An information processing apparatus comprising: a transmission unit that transmits the parameter determined by the determination unit to the electronic sphygmomanometer. Including an electronic sphygmomanometer and an information processing device,
The electronic sphygmomanometer is
An air bag that compresses the measurement site;
Adjusting means for adjusting the pressure in the air bag;
Detecting means for detecting a change in the arterial volume at the measurement site as a pressure wave that is a pressure change in the bladder;
Calculation means for calculating a blood pressure value based on a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bladder;
First storage means for storing information for obtaining parameters used in the calculation means;
Second storage means for storing information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag in association with the blood pressure value;
Transmitting means for transmitting, to the information processing apparatus, information indicating a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag, which is stored in the second storage means;
Receiving means for receiving parameters from the information processing apparatus;
Updating means for updating the parameter stored in the first storage means to the parameter received by the receiving means;
The information processing apparatus includes:
Receiving means for receiving, from the electronic sphygmomanometer, information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag;
Determining means for determining a parameter used in the calculating means, using information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bladder;
A measurement management system comprising: a transmission unit configured to transmit the parameter determined by the determination unit to the electronic sphygmomanometer. An air bag that compresses the measurement site;
Adjusting means for adjusting the pressure in the air bag;
Detecting means for detecting a change in the arterial volume at the measurement site as a pressure wave that is a pressure change in the bladder;
And calculating means for calculating a blood pressure value based on a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag. A program to be executed,
Obtaining information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag from the electronic blood pressure monitor;
Using information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag, determining a parameter used in the calculation means;
And a step of outputting the determined parameters to the electronic blood pressure monitor. A measurement management method in a measurement management system including an electronic sphygmomanometer and an information processing device,
The electronic sphygmomanometer is
An air bag that compresses the measurement site;
Adjusting means for adjusting the pressure in the air bag;
Detecting means for detecting a change in the arterial volume at the measurement site as a pressure wave that is a pressure change in the bladder;
Calculation means for calculating a blood pressure value based on a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bladder;
First storage means for storing information for obtaining parameters used in the calculation means;
Second storage means for storing, in association with the blood pressure value, information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag,
The information processing apparatus acquires information indicating a change in amplitude of the pressure pulse wave with respect to a change in pressure of the air bag from the electronic blood pressure monitor;
In the information processing apparatus, using information indicating a change in the amplitude of the pressure pulse wave with respect to a change in the pressure of the air bag, determining a parameter used in the calculation unit;
Outputting the determined parameter from the information processing apparatus to the electronic blood pressure monitor;
A measurement management method comprising: updating the parameter stored in the first storage unit with a parameter output from the information processing apparatus in the electronic blood pressure monitor.

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