JP3088456U - Blood circulation diagnostic device - Google Patents

Abstract

(57) [Problem] To provide a blood circulation diagnostic apparatus that automatically diagnoses a state of blood circulation in consideration of blood pressure. SOLUTION: A blood circulation diagnostic apparatus 10 has a liquid crystal display device 14 in the center, a sensor unit 12 for detecting a blood flow with a fingertip of a left hand on the left side, and a blood pressure detection for detecting a blood pressure with the right hand on the right side. Means 35 are each arranged. The liquid crystal display device 14 displays the measurement results. The measurement results include the content obtained based on the detection results of the sensor unit 12,
In addition, the contents in which the blood pressure of the measurer is taken into account are displayed.

Description

[Detailed description of the invention]

[0001]

[Technical field to which the invention belongs]

 The present invention relates to a diagnostic device based on blood pressure and blood circulation, and more particularly, to a device for diagnosing the condition of a living body based on the shape of a pulse wave of blood circulating in the living body and the blood pressure.

[0002]

[Prior art]

 In the recent aging society, health problems centering on adult diseases have been widely taken up. In other words, adult diseases such as cancer, stroke, and heart failure have become the leading causes of death. These diseases are known to be closely associated with impaired blood circulation, especially peripheral blood circulation. That is, when blood circulation is insufficient, tissues and cells cannot receive enough oxygen and nutrients. Therefore, it has been elucidated that if the state of inadequate blood circulation continues for a long time, organs and tissues shift to organic changes, and the above-mentioned illness develops in the shifted places. Therefore, it is highly possible that these diseases can be prevented if blood circulation does not continue to be inadequate. For this reason, blood circulation is important for health.

[0003] Although it is difficult to recognize the state of blood circulation by a pulse wave of blood, it can be recognized by an acceleration pulse wave obtained by differentiating the pulse wave twice. Therefore, there has been proposed an apparatus for detecting a pulse wave of blood flowing through a living body, differentiating the detected pulse wave twice to obtain an acceleration pulse wave, and printing a waveform of the obtained acceleration pulse wave.

[0004] On the other hand, blood circulation is also changed by other factors. The factor is, for example, blood pressure. There is a certain correlation between blood pressure and peripheral vascular blood flow. In other words, it is medically known that the heart automatically changes blood pressure when the atherogenic layer attached to the inner wall of peripheral blood vessels increases or decreases (the degree of atherosclerosis of peripheral blood vessels changes). In other words, it is known that when the arteriosclerosis of peripheral blood vessels progresses, intravascular resistance changes, and peripheral blood flow changes, the heart automatically increases blood pressure and increases blood flow. This is the cause of hypertension due to arteriosclerosis.

[0005]

[Problems to be solved by the invention]

 However, the conventional apparatus for measuring blood circulation does not take blood pressure values into consideration, and there is a drawback that accurate diagnosis cannot be output using only the apparatus for measuring blood circulation. Therefore, conventionally, a method has been adopted in which a result of a blood flow diagnostic apparatus is compared with a blood pressure value, and a person (doctor or the like) having high medical knowledge makes a diagnosis based on experience. Therefore, a blood circulation diagnostic apparatus for automatically diagnosing the state of blood circulation in consideration of blood pressure has been desired. The present invention has been made in view of the above-described circumstances, and has as its object to provide a blood circulation diagnostic apparatus that automatically diagnoses a state of blood circulation in consideration of blood pressure.

[0006]

[Means for Solving the Problems]

 Such an object is achieved by the present invention described below. (1) pulse wave detecting means for detecting a pulse wave of blood flowing through the living body of the subject; blood pressure detecting means for detecting the blood pressure of the subject; and a pulse wave detected by the pulse wave detecting means twice. A second differentiation means for differentiating to obtain an acceleration pulse wave; and a group of acceleration pulse waves for each of a plurality of different states of blood circulation based on a plurality of peaks of the acceleration pulse wave. Determining means for determining to which of the classified groups the acceleration pulse wave determined by the above belongs; and blood pressure detecting means for detecting a predetermined blood circulation diagnosis result corresponding to each of the groups. A blood circulation diagnostic apparatus comprising: a selection unit that selects based on the blood pressure value; and a presentation unit that presents a diagnosis result selected by the selection unit.

[0007] (2) The blood according to the above (1), wherein the pulse detection means detects the pulse from one hand of the subject and the blood pressure detection means detects the blood pressure from the other arm. Circulation diagnostic device.

(3) The blood circulation diagnostic apparatus according to (2), wherein the detection of pulse and the detection of blood pressure are performed simultaneously.

(4) The blood circulation diagnostic apparatus according to any one of (1) to (3), wherein the pulse train detection unit and the blood pressure detection unit are arranged on both sides of the presentation unit.

[0010]

[Embodiment of the invention]

 Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. As shown in FIG. 1, the front surface of the blood circulation diagnostic apparatus 10 according to the present embodiment has an inclined portion 10U inclined so as to be easily seen by a person to be diagnosed, and a flat portion 10V located in front of the inclined portion 10U. . On the inclined portion 10U, a liquid crystal display device 14, a registration button 16, a selection button 18, and a measurement button 20, which are respectively arranged on the front side of the liquid crystal display device 14, are arranged. On the left side of the liquid crystal display device 14, a sensor unit 12 as a blood flow detecting means is arranged. The sensor section 12 includes a light emitting element 22 buried in the plane portion 10V and irradiating light to a finger placed at a detection position, and a light receiving element 24 for detecting reflected light from the finger.

On the other hand, a blood pressure detecting unit 35 is disposed on the right side of the liquid crystal display device 14. The blood pressure detecting means 35 includes an insertion portion 351 formed in a through-hole shape for inserting the right arm, and a blood pressure sensor 352 is arranged on an inner peripheral portion of the insertion portion 351. Blood pressure is measured by the oscillometric method. The blood pressure detecting means 35 described above, the sensor unit 12 as the blood flow detecting means, other control systems, and the like are housed in the same housing 101. The sensor unit 12 and the blood pressure detecting means 35 are arranged in accordance with the distance of the shoulder width of the person. With such an arrangement, it is possible to insert one arm into the insertion section 351 and set the finger of the other arm in the sensor section 12 without taking an unreasonable posture, and at the same time, to reduce blood pressure and blood pressure. Blood flow can be detected. Further, even when the detection is not performed at the same time, the blood flow of the blood pressure can be easily detected without changing the posture at the time of the test. The blood circulation diagnostic apparatus 10 includes a printer 40. The liquid crystal display device 14 and the printer 40 constitute the presenting means of the present invention. In addition, a speaker may be provided.

As shown in FIG. 2, the control system of the blood circulation diagnostic apparatus 10 includes a computer 42 as a determination unit. The computer 42 is configured such that a CPU 42A, a ROM 42B, a RAM 42C, and an input / output (I / O) port 42D are mutually connected via a bus 42E.

The liquid crystal display device 14, the printer 40, the registration button 16, the selection button 18, the measurement button 20, the blood pressure sensor 352, and the light emitting element 22 of the sensor unit 12 are connected to the input / output port 42D. The light receiving element 24 receives light from the light emitting element 22. An amplifier (AMP) 26 for amplifying a light receiving signal (pulse wave signal) is connected to the light emitting element 22, and the amplifier 26 is differentiated twice to obtain an acceleration pulse wave signal. An A / D converter 30 for A / D conversion of the acceleration pulse signal into acceleration pulse wave data is connected to the second differentiation circuit 28, and the A / D converter 30 is connected to the input / output Connected to port 42D.

FIG. 3 shows a diagnostic processing routine that starts when the measurement button 20 is turned on. That is, the right arm is inserted into the insertion section 351 and the right arm is set at the blood pressure measurement position. The measurement button 20 is turned on. This starts the diagnostic routine. As shown in FIG. 5, the subject places the finger 17 (left hand), which is the folded part of the blood sent from the heart, on the sensor unit 12 at a position where the fingertip reaches the stopper 15. Let it. Thus, the finger 17 is arranged above the light emitting element 22 and the light receiving element 24. When the measurement button 20 is turned on, the light emitting element 22 is turned on and emits measurement light.

Here, when the finger 17 is placed, the reflected light reaches the light receiving element 24. The blood flow measurement operation is started by receiving the measurement light from the light receiving element 24. The light emitted from the light emitting element 22 enters the finger 17 of the subject, as shown in FIG. The light that has entered the finger 17 is absorbed by the blood filling the finger 17, passes through the blood, or is scattered by the blood. The reflected light transmitted through the blood out of the light that has entered the finger 17 is received by the light receiving element 24. On the other hand, the blood filling the finger 17 is sent from the heart, and circulates and pulsates. Therefore, the amount of light absorbed, transmitted, and scattered by blood changes with pulsation. Therefore, the amount of light received by the light receiving element 24 also changes with the pulsation.

Therefore, as shown in FIG. 6, the magnitude of the signal from the light receiving element 24 also changes with the pulsation. The signal from the light receiving element 24 is called a pulse wave signal. As described above, it is difficult to recognize the state of blood circulation from the pulse wave signal. The pulse wave signal is amplified by the amplifier 26 and differentiated twice by the twice differentiation circuit 28. As a result, as shown in FIG. 7, an acceleration pulse wave indicating the acceleration of the increase and decrease of the blood volume is obtained. Note that the state of blood circulation can be recognized by the acceleration pulse wave. The acceleration pulse wave signal from the second differentiation circuit 28 is converted into acceleration pulse wave data by the A / D converter 30 and input to the computer 42. In step 54, the input acceleration pulse wave data is fetched, and in step 56, a plurality of values (in the present embodiment, the first peak (inflection point) to the fourth peak (not limited to these)) are calculated. Extract.

As described above, blood circulates through the body while pulsating. In other words, blood is not supplied constantly from the heart at a constant pressure, but is initially supplied at a large pressure. Therefore, looking at each pulse wave (see FIG. 6), the blood volume rapidly reaches the maximum level from the lowest level, and gradually decreases and reaches the minimum level. It should be noted that the supply pressure of the blood slightly changes while reaching the lowest level from the highest level. Since the pulse wave changes in this way, a plurality of peaks a, b, c, d,... Exist in the acceleration pulse wave as shown in FIG. The peaks a and b correspond to the acceleration of the increase and decrease of the blood volume when the peak level suddenly reaches the maximum level. The peaks c, d, etc. correspond to the acceleration of the increase or decrease in blood volume when the blood supply pressure changes slightly from the highest level to the lowest level. In this step 56, a plurality of (in this embodiment, four (not limited to four) peaks a, b, c, d) values a, b, c, d of peaks a, b, c, d are extracted as described above. I do. In step 58, it is determined to which of the predetermined groups the acceleration pulse wave signal acquired in step 54 belongs.

Hereinafter, step 58 will be described in detail with reference to FIG. In step 72 of FIG. 4, a variable k for identifying a group is initialized. In step 74, the variable k is incremented by one. In step 76, a conditional expression of the group identified by the variable k is fetched.

Here, in the present embodiment, acceleration pulse wave groups are classified in advance for each of a plurality of different states of blood circulation based on a plurality of peaks of the acceleration pulse wave. The groups are classified based on the waveform of the acceleration pulse wave. In addition, as shown in FIG. 8, it is divided into seven groups A to G as a large classification. The classification criteria for each group are as follows. That is, as shown in FIG. 9A, a peak farthest from the base line (the magnitude of the acceleration pulse wave is 0) to the negative side is extracted. In this case, it is peak b. Then, as shown in FIG. 9B, the distance between the base line and the peak farthest to the negative side from the base line is divided by three (b / 3). As a result, three zones, a zone from 0 to b / 3, a zone from b / 3 to 2 · b / 3, and a zone from 2 · b / 3 to b, are divided. The peaks b, c, and d are classified into a plurality of groups (seven (in the present embodiment, not limited to seven)) groups A to G according to which zone the peaks b, c, and d fall into. In the example shown in FIG. 9B, the peak farthest away from the base line on the negative side is peak b. In addition, as shown in FIG. 9C, the peak farthest away from the base line is the peak b. It may be d. Here, which zone the peaks b, c, and d fall into is determined by the state of blood circulation.

That is, the waveforms of the large classification A shown in FIGS. 8 and 10 (A) indicate that the blood circulation normally found in a young person is in a good state. The drop of peak b is larger than the peak height of peak a of the waveform of the major category A, peak c is located at a position higher than the baseline, and the drop of peak d is small. The relational expression (conditional expression) of the peak value indicating the waveform of the major category A is as follows.

[0021]

(Equation 1) The waveforms of the major category B shown in FIG. 8 and FIG. 10 (B) are seen under the assumption that blood circulation deteriorates with age, but indicate that blood circulation is in good condition. The waveform of the large category B has a smaller drop of the peak b than the waveform of the large category A, and the peak c does not rise to the baseline. The drop of the peak d is smaller than the drop of the peak b. The relational expression (conditional expression) of the peak value indicating the waveform of the large classification B is as follows.

[0022]

(Equation 2) The waveforms of the large category C shown in FIG. 8 and FIG. 10 (C) are seen when it is considered that the blood circulation is slightly deteriorated and the burden on the left heart is increased. The waveform of the major category C has a smaller drop of the peak b than the waveforms of the major categories A and B, and most of the peak c does not rise to the baseline. The peaks b and d have substantially the same drop. The relational expression (conditional expression) of the peak value indicating the waveform of the large category C is as follows.

[0023]

(Equation 3) The waveforms of the large category D shown in FIG. 8 and FIG. 10 (D) indicate that the blood circulation is poor. Caution must be taken. The peak of the waveform of the large category D is lower than the peak of the waveform of the large category C. In some cases, peak c is not observed. The relational expression (conditional expression) of the peak value indicating the waveform of the large classification D is as follows.

[0024]

(Equation 4) The waveforms of the large category E shown in FIG. 8 and FIG. 10 (E) indicate that the blood circulation is in a poor state, and are often seen in persons with a history of illness. The waveform of the large category E has a smaller drop of the peak b and a larger drop of the peak d than the waveform of the large category C. The relational expression (conditional expression) of the peak value indicating the waveform of the class E is as follows.

[0025]

(Equation 5) The waveforms of the large category F shown in FIGS. 8 and 10 (F) indicate that the blood circulation is poor. The waveform of the large category F has a larger drop of the peak c than the waveform of the large category E, and the peak c falls below the peak b and is located between the peak d and the peak d. The relational expression (conditional expression) of the peak value indicating the waveform of the large classification F is as follows.

[0026]

(Equation 6) The waveforms of the large category G shown in FIG. 8 and FIG. 10 (G) indicate that the blood circulation is poor. The waveform of the large category G has a larger drop of the peak c than the waveform of the large category E, and the peak c is located between the peak b and the peak d. The relational expression (conditional expression) of the peak value indicating the waveform of the large classification G is as follows.

[0027]

(Equation 7) Although the above is roughly classified, in the present embodiment, each of the large classifications A to G is further divided into a first number (in this embodiment, 25 (not limited to 25)) Classes A +, A, A-, B +, B + X, B, BX, C +, C, B-, BX, C-, C-, E +, E, D ++, D +, D, D-, E-, It is classified into F, F-, G and G-. It should be noted that, among the small classifications, those having a small difference are collectively made into one, and as shown in FIG. 11, a second number smaller than the first number (20 in this embodiment, Not limited to 20)), the sub-categories A +, A, A-, B +, B + X, B, BX, C +, C, B-, BX, C-, E +, E, D +, D, D-, It is classified into E-, F, F-, G and G-. The classification criterion of each of the major classifications is further classified in accordance with the values of the peaks b, c, and d, and a conditional expression is predetermined for each minor classification. (One example is shown in FIG. 17.) In this step 76, the above-mentioned conditional expression of the group identified by the variable k is fetched. At step 78, it is determined whether or not the extracted peak value satisfies the captured conditional expression, thereby determining whether or not the captured acceleration pulse wave is close to the waveform of the group identified by the variable k. to decide. As described above, the conditional expression of each waveform is obtained in advance, and whether or not the extracted peak value of the acquired acceleration pulse wave satisfies the conditional expression determines whether or not the waveform is close to the waveform of each group. The comparison can be made in a short time by comparing with the waveform matching processing in which the values are compared one by one. If the extracted peak value does not satisfy the fetched conditional expression, the process returns to step 74 to execute the same processing for the remaining classified waveforms (steps 74 to 78). If the extracted peak value satisfies the acquired conditional expression, in step 80, group data for identifying the group is held. Next, the blood pressure value detected by the blood pressure sensor 352 is obtained (Step 59). In consideration of the blood pressure value, a diagnosis result corresponding to the determined group is taken in (step 60).

In the present embodiment, a diagnosis result of blood circulation (a state of blood circulation and a coping method) is determined in advance for each group. It should be noted that different blood circulation diagnosis results may be determined in advance for each group. However, if there is no large difference in the diagnosis results, the same diagnosis is performed for a plurality of groups as described below. The result may be determined. That is, as shown in FIG. 11, which group is in what kind of blood circulation state is determined in advance for each age (generation). For example, in the case of 20 to 29 years old, the state of blood circulation is “good” from A + to B + X, the state of blood circulation is “slightly cautious” from B to C +, and C to C +. Up to E, the state of blood circulation is "attention", and the state of blood circulation thereafter is "attentive". And other ages are set similarly. In addition, a coping method is defined for each state of blood circulation.

When the condition is “good” When the condition of the blood circulation is “good”, it indicates that the condition is good as compared with the same age. Therefore, as a coping method, it is recommended that you perform regular exercises (walking, light jogging, etc.) regularly and maintain this state. ] Is remembered.

In the case of “slight caution” When the state of blood circulation is “slight caution”, it indicates that the function has started to deteriorate from the state (“good”). Therefore, as a coping method, we recommend that you improve by performing exercises (walking, light jogging, etc.) two or three times a week (20 minutes or more). ] Is remembered.

In the case of “Needs Attention” When the state of the blood circulation is “Needs Attention”, it indicates that the function is in a state in which the function is lower than that of the same age. Therefore, as a coping method, we recommend that you start with your own pace and gradually exercise (walking or light jogging, etc.) 2-3 times a week (20 minutes or more) to improve. ] Is remembered. The above information is stored for each gender (the above (FIG. 11) is defined for males). The above description is based on "Labor Science, Vol. 61, No. 3, 1988" written by Yuji Sano and Yukio Kataoka, and "Physical Fitness Research Vol. 68, January, 1988" written by Yuji Sano and Yukio Kataoka, et al.

Here, when this routine starts, before the measurement button 20 is turned on, it is necessary that an age and a gender have been input. The diagnostic results corresponding to the determined group corresponding to age and gender are taken. For example, when a male and a 55-year-old are input, if it is determined that the group is B (BX), the diagnosis result is “good” for the blood circulation state and the coping method is “from my own pace”. It is recommended that you gradually improve your physical activity (walking, light jogging, etc.) two to three times a week (20 minutes or more). ]. The age and gender are input by selecting the age and gender displayed on the initial screen by performing a predetermined operation on the registration button 16 and the selection button 18.

Based on the detected blood pressure value, the diagnostic content displayed for each group is corrected. In this embodiment, the blood pressure values are classified into the following four classifications. Normal blood pressure (systolic blood pressure: less than 130 mmHg, diastolic blood pressure: less than 85 mmHg), Normal hypertension (systolic blood pressure: 130 to 139 mmHg, diastolic blood pressure: 85 to 89 mmHg), Boundary blood pressure (systolic blood pressure: 140 to 159 mmHg, Diastolic blood pressure: 90 to 94 mmHg), hypertension (systolic blood pressure: 160 mmHg or more, diastolic blood pressure: 95 mmHg or more) The diagnosis content corresponding to each group is corrected according to the above four classifications. FIG. 18 is a diagram illustrating a classification criterion indicating a group corrected according to a blood pressure value for a man in his 20s. For example, in the case of men in their twenties, the groups A + to B + X are good, the groups B to C + are slightly cautious, the groups C to E need attention, and the groups D + to G / G-. Is a strict caution.

In this group, the classification of diagnosis contents to be sorted is changed according to the blood pressure value. For example, in the case of normal hypertension, the group of strictly cautious diagnosis contents increases, and the group of E + to G / G- corresponds to this. In the case of borderline blood pressure, the number of groups having good diagnosis contents is reduced, and the groups A + to B + correspond to this group. In the case of hypertension, the group of strictly cautious diagnosis contents further increases, and the group of C- to G / G- corresponds to this.

As described above, the contents of the diagnosis selected corresponding to the group are displayed on the liquid crystal display device 14 in step 62. Thus, as shown in FIG. 12, which group belongs to the area 61, the state of blood circulation to the area 63, the coping method to the area 65, the group identification information to the area 67, and the group Are displayed in the area 69, respectively. At step 64, the diagnostic result data is output to the printer 40. Thus, the printed sheet is discharged as shown in FIG.

As described above, according to the present embodiment, acceleration pulse wave groups are classified in advance for each of a plurality of different states of blood circulation based on a plurality of peaks of the acceleration pulse wave, In addition, a diagnosis result of blood circulation (a state of blood circulation and a coping method) is determined in advance for each group, and an acceleration pulse wave obtained by differentiating the detected pulse wave twice is classified into the classified group. It is determined whether the group belongs to any of the groups, and the diagnosis result corresponding to the determined group is presented. Therefore, the state of blood circulation can be automatically diagnosed.

In the embodiment described above, the conditional expression of each waveform is obtained in advance, and whether or not the extracted peak value of the acquired acceleration pulse wave satisfies the conditional expression determines whether or not the waveform is close to the waveform of each group. However, the present invention is not limited to this. The groups are classified into predetermined ranges of judgment reference values (scores) calculated from a plurality of peak values of the acceleration pulse wave, and the group of the acquired acceleration pulse wave is classified. The criterion value may be calculated based on a plurality of peak values, and it may be determined which of the criterion values is within the calculated criterion value.

That is, as shown in FIG. 14, the range of the judgment reference value is determined for each of the above classifications. For example, for classification A +, the range of the determination reference value has been found defined as P ₂ less from P _1, the classification A, the range of the determination reference value has increased P ₃ is below a constant order than P ₂ The same applies to other classifications. In the present modification, the determination process shown in FIG. 13 is executed instead of the determination process in step 58 (see FIG. 4) in the above-described embodiment. That is, in step 82, the judgment reference value P is calculated by the following equation.

[0039]

(Equation 8) In step 72, a variable k for identifying a group is initialized, and in step 74, the variable k is incremented by one. In step 84, a range of a criterion value defined for the group identified by the variable k ( For example, P1 to P2) are taken. At step 86, it is determined whether or not the calculated determination reference value P is within the captured range, thereby determining whether or not the captured acceleration pulse wave is close to the waveform of the group identified by the variable k. . This makes it possible to judge in a short time when compared with the waveform matching processing in which the values of each waveform are compared one by one. If the calculated judgment reference value P is not within the acquired range, the flow returns to step 74 to execute the same processing for the remaining classified waveforms (steps 74 to 88). If the calculated criterion value P is within the acquired range, in step 80, the group data for identifying the group is held.

Here, as a result of various experiments and the like for a plurality of people of different ages, as a result of the present inventors, as shown in FIG. 15, the criterion value (score) gradually increases with a linear function as a function of age. To be smaller. Therefore, in the above modified example, the diagnosis result (blood circulation state and coping method) is determined in advance for each age, but the present invention is not limited to this, and each age, and further up to each age and number of months. In consideration of the above, the diagnosis result (the state of the blood circulation and the coping method) may be determined in advance and processed as described above. In the above example, "good", "slightly cautious", "caution required", and "severe caution" are defined. However, the present invention is not limited to this, and "higher than average", "average", It may be defined as “lower than average”. In addition, you may make it determine more finely.

In the example described above, it is determined whether the acquired acceleration pulse wave belongs to which group using the conditional expression or the determination reference value of the waveform. In order to improve the determination accuracy, the determination may be performed using both the determination methods. That is, the determination process shown in FIG. 16 is executed instead of the determination process of step 58 (see FIG. 4) in the above-described embodiment.

In step 102, a first determination process (the process in FIG. 4) is performed, in step 104, a second determination process (the process in FIG. 13) is performed, and in step 106, each of the determination processes is performed. It is determined whether the determination results are equal. If the judgment results are equal, the group data is held in step 80, and if the judgment results are not equal, the liquid crystal display 14 is re-measured in step 108. Is displayed. As described above, when the determination results of the first determination process and the second determination process are equal, the diagnosis result is presented, so that a highly accurate diagnosis result can be presented. In the example described above, the finger is the measurement target, but the present invention is not limited to this, and the foot, which is the folded part of the blood sent from the heart, may be the measurement target. By measuring the folded portion in this way, "peripheral blood circulation" can be known. Other parts of the body may be measured, and the joints of hands, feet, face, scalp, etc. are also measured.

[0043]

[Effect of the invention]

 As described above, according to the present invention, acceleration pulse wave groups are classified in advance for each of a plurality of different states of blood circulation based on a plurality of peaks of the acceleration pulse wave, and the blood is assigned to each of the groups. A diagnosis result of the circulation is determined in advance, and it is determined whether the acceleration pulse wave obtained by differentiating the detected pulse wave twice is included in the classified group, and the acceleration pulse wave corresponding to the determined group is determined. Since the result of the diagnosis is presented, there is an effect that the state of blood circulation can be automatically diagnosed. In particular, since the blood pressure value is also measured at the same time and used as a diagnostic material for blood circulation, more accurate diagnostic results can be obtained.

[Brief description of the drawings]

FIG. 1 is a perspective view of a blood circulation diagnostic apparatus according to the present embodiment.

FIG. 2 is a block diagram of a blood circulation diagnostic apparatus according to the present embodiment.

FIG. 3 is a flowchart showing a diagnostic processing routine of the blood circulation diagnostic apparatus according to the present embodiment.

FIG. 4 is a flowchart showing a subroutine of step 58 of the diagnostic processing routine of FIG. 3;

FIG. 5 is a diagram showing a measurement mode of a sensor unit.

FIG. 6 is a diagram showing a pulse wave signal.

FIG. 7 is a diagram showing an acceleration pulse wave signal.

FIG. 8 is a diagram showing acceleration pulse wave groups.

FIG. 9 is a diagram showing classification criteria of acceleration pulse wave groups.

FIG. 10 is a diagram showing a conditional expression and a representative waveform of each group of acceleration pulse waves.

FIG. 11 is a diagram showing a state of blood circulation determined for each group and each age.

FIG. 12 is a diagram showing display contents of a diagnosis result.

FIG. 13 is a flowchart showing a subroutine of step 58 of the diagnostic processing routine of FIG. 3 according to a modification.

FIG. 14 is a diagram in which each group and a range of a determination reference value according to a modified example are determined.

FIG. 15 is a diagram showing samples and averages of scores of each age.

FIG. 16 is a flowchart showing a subroutine of step 58 of the diagnostic processing routine of FIG. 3 according to a second modification.

FIG. 17 is a diagram showing a conditional expression and a representative waveform of each group of the acceleration pulse wave.

FIG. 18 is a diagram showing a state of blood circulation determined for each group in consideration of a blood pressure value at a specific age.

[Explanation of symbols]

 Reference Signs List 12 sensor part (detection means) 28 twice differentiation circuit (two times differentiation means) 42 computer (judgment means) 14 liquid crystal display device (presentation means) 35 blood pressure detection means 40 printer (presentation means)

Claims (4)

[Utility model registration claims] 1. A pulse wave detecting means for detecting a pulse wave of blood flowing through a living body of a subject, a blood pressure detecting means for detecting a blood pressure of the subject, and a pulse wave detected by the pulse wave detecting means. A second derivative means for differentiating twice to obtain an acceleration pulse wave; and a group of acceleration pulse waves is classified in advance for each of a plurality of different states of blood circulation based on a plurality of peaks of the acceleration pulse wave. The acceleration pulse wave obtained by the means
Determining means for determining which of the classified groups belongs to; selecting means for selecting a diagnosis result of blood circulation predetermined for each of the groups based on a blood pressure value detected by the blood pressure detecting means And a presenting means for presenting a diagnosis result selected by the selecting means. 2. The blood circulation diagnosis according to claim 1, wherein the pulse detection means detects the pulse from one hand of the subject and the blood pressure detection means detects the blood pressure from the other arm. apparatus. 3. The blood circulation diagnostic apparatus according to claim 2, wherein the detection of the pulse and the detection of the blood pressure are performed simultaneously. 4. The blood circulation diagnostic apparatus according to claim 1, wherein said pulse detection means and blood pressure detection means are arranged on both sides of said presentation means.