JP7055849B2 - Measurement method and system - Google Patents

Description

The present disclosure relates to measurement methods and systems.

Conventionally, an electronic device for measuring biological information from a test site such as a wrist of a test subject has been known. For example, Patent Document 1 describes an electronic device that measures the pulse of a subject when the subject wears it on the wrist.

Japanese Unexamined Patent Publication No. 2002-360530

If the biological information of the subject can be easily measured, the convenience of the electronic device can be enhanced.

An object of the present disclosure is to provide a highly convenient measuring method and system.

The measurement method according to one embodiment is
A step in which the sensor detects pulsation at the subject's site,
A step of synthesizing only a result of the sensor detecting as a rotational motion of at least two axes having a component of a predetermined threshold value or more by the control unit.
The step that the control unit calculates the index of the pulse wave based on the pulsation from the synthesis result, and
including.

The system according to one embodiment is
A sensor that detects the displacement of the subject and
A server connected to the sensor via a network,
To prepare for.
The server detects the pulsation in the test site of the subject from the displacement detected by the sensor, and has a component of a predetermined threshold value or more among the results detected by the sensor as a rotational motion of at least two axes. Only the ones are synthesized, and the index of the pulse wave based on the pulsation is calculated from the synthesis result.

According to the present disclosure, it is possible to provide a measurement method and a system with enhanced convenience.

It is a figure which shows the usage mode of the electronic device which concerns on one Embodiment. It is a figure which shows the state which the electronic device which concerns on one Embodiment is seen from the side. It is a perspective view which shows the appearance of the front side of the electronic device which concerns on one Embodiment. It is a perspective view which shows the appearance of the back side of the electronic device which concerns on one Embodiment. It is a figure which shows the cross section of the electronic device which concerns on one Embodiment. It is a figure which shows the usage mode of the electronic device which concerns on one Embodiment. It is a functional block diagram which shows the schematic structure of the electronic device which concerns on one Embodiment. It is a figure which shows an example of the pulse wave acquired by a sensor part. It is a figure which shows the time variation of the calculated AI. It is a figure which shows the measurement result of the calculated AI and the blood glucose level. It is a figure which shows the relationship between the calculated AI and the blood glucose level. It is a figure which shows the measurement result of the calculated AI and triglyceride level. It is a flow which shows the procedure of estimating the fluidity of blood and the state of glucose metabolism and lipid metabolism. It is a schematic diagram which shows the schematic structure of the system which concerns on one Embodiment. It is a perspective view which shows the appearance of the back side of the electronic device which concerns on the modification of one Embodiment. It is a figure which shows the cross section of the electronic device which concerns on the modification of one Embodiment.

Hereinafter, one embodiment will be described in detail with reference to the drawings.

FIG. 1 is a diagram illustrating a usage mode of an electronic device according to an embodiment. That is, FIG. 1 is a diagram showing a state in which a subject is measuring biological information by an electronic device according to an embodiment.

As shown in FIG. 1, the electronic device 1 according to the embodiment can measure the biological information of the subject by using a portion such as the wrist of the subject as the subject. In the example shown in FIG. 1, the electronic device 1 is placed on the subject site on the subject's left wrist. In the example shown in FIG. 1, the electronic device 1 is placed on the subject site with the wrist portion on the way from the palm of the subject's left hand toward the elbow side as the test site.

Further, in the example shown in FIG. 1, the electronic device 1 is pressed toward the test site side by the index finger of the test subject's right hand. As shown in FIG. 1, the electronic device 1 according to the first embodiment measures the biological information of the subject in a state of being pressed down to the subject site side. The finger that the subject presses the electronic device 1 against the subject site side is not limited to the index finger of the right hand. The electronic device 1 may be pressed in any manner as long as it can be pressed toward the test site side with an appropriate pressing force.

By placing the electronic device 1 on the test site of the test subject, the pulsation at the test site can be detected. Here, the test site of the subject may be, for example, a site where the ulnar artery or the radial artery of the subject is subcutaneously present. Further, the test site of the subject is not limited to the site where the ulnar artery or the radial artery of the subject is subcutaneously present, and may be any site as long as the pulsation of the subject can be detected. good. FIG. 1 shows a state in which the electronic device 1 is placed on the test site with the site where the radial artery is arranged under the skin of the subject's wrist as the test site.

The size of the housing of the electronic device 1 is not particularly limited, but may be relatively small in consideration of convenience in carrying and / or ease of measurement. For example, the housing of the electronic device 1 may have a size of 2 cm to 4 cm square in a plan view as shown in FIG. As an example, the housing of the electronic device 1 may have a size of 3.5 cm square in a plan view as shown in FIG. The housing of the electronic device 1 may have a size other than 2 cm to 4 cm square. That is, the maximum size of the electronic device 1 may be such that it fits inside a square having a side of 4 cm in a plan view. The housing of the electronic device 1 may have a shape in which shapes such as a triangle, a quadrangle, a polygon, a circle, and an ellipse are arbitrarily combined.

FIG. 2 is a diagram showing a state in which the electronic device 1 shown in FIG. 1 is viewed from the side, together with a cross section of the wrist of the subject.

As shown in FIG. 2, the electronic device 1 includes a lower housing 11 and an upper housing 12. The lower housing 11 and / or the upper housing 12 may be formed of a material such as ceramic, iron or other metal, resin, plastic or aluminum. The lower housing 11 and / or the upper housing 12 may be made of a hard and lightweight material. The material of the lower housing 11 and / or the upper housing 12 is not particularly limited, but may have enough strength to function as a measuring device. Further, the material of the lower housing 11 and / or the upper housing 12 may be relatively lightweight rather than excessively heavy.

As will be described later, the lower housing 11 and the upper housing 12 can move freely with each other to some extent. That is, in the electronic device 1, even when the lower housing 11 is fixed, the upper housing 12 can move freely to some extent. Further, in the electronic device 1, even when the upper housing 12 is fixed, the lower housing 11 can move freely to some extent.

Further, as shown in FIG. 2, the electronic device 1 includes a pulse contact portion 14 as a portion that comes into contact with the subject portion of the subject. The pulsating portion 14 may be formed of, for example, a material such as ceramic, iron or other metal, resin, plastic or aluminum. The pulse pad 14 may be made of a hard and lightweight material. The material of the pulse pad portion 14 is not particularly limited. Like the lower housing 11 and / or the upper housing 12, the material of the pulse pad portion 14 may be relatively lightweight and has sufficient strength to function as a measuring device.

In one embodiment, the pulse pad 14 may come into direct or indirect contact with the subject's site. The surface of a typical subject's wrist has a curved shape as shown in FIG. Therefore, when a part of the bottom surface (the surface on the positive direction side of the Z axis) of the lower housing 11 in the electronic device 1 is brought into contact with the wrist of the subject, the other part of the bottom surface floats from the wrist of the subject. Can be in a state of being. Therefore, as shown in FIG. 2, the pulse contact portion 14 may have a shape such as a wedge shape. By doing so, in a state where a part of the bottom surface of the lower housing 11 (for example, the portion S shown in FIG. 2) is in contact with the wrist of the subject, the pulse contact portion 14 is used as the subject portion of the subject. It can be properly contacted. The shape of the pulse pad portion 14 is not limited to a wedge shape, and may be any shape that can be appropriately brought into contact with the test site of the subject.

As shown in FIG. 2, the upper housing 12 of the electronic device 1 includes a pressing portion 16. The pressing portion 16 indicates a portion of the electronic device 1 that is pressed by the fingertip or the like of the subject. That is, the subject or the like can recognize that the pressing portion 16 should be pressed by a fingertip or the like by seeing (or touching) the pressing portion 16. As shown in FIG. 2, the pressing portion 16 may be formed on the upper surface (the surface on the negative direction side of the Z axis) side of the upper housing 12. In the example shown in FIG. 2, the pressing portion 16 is formed at a position slightly downward (Y-axis negative direction) from the central portion of the upper surface of the upper housing 12. However, the pressing portion 16 may be formed at various positions depending on the mode in which the electronic device 1 measures biological information, for example, the pressing portion 16 is formed substantially at the center of the upper surface of the upper housing 12.

Further, in the example shown in FIG. 2, the pressing portion 16 is shown as a shallow recess formed on the upper surface side of the upper housing 12. However, the shape of the pressing portion 16 is not limited to the recess. For example, the pressing portion 16 may be formed as a shallow convex portion formed on the upper surface side of the upper housing 12. Further, the pressing portion 16 may be, for example, a simple mark painted on the upper surface (the surface on the negative direction side of the Z axis) side of the upper housing 12 with paint or the like. The pressing portion 16 may be arbitrarily configured as long as it indicates a portion of the electronic device 1 to be pressed by the fingertip of the subject or the like.

The electronic device 1 is placed on a test site such as the wrist of the test subject, and the pressing portion 16 is pressed by the fingertip or the like of the test subject to measure biological information as shown in FIG. It becomes the state of. When the electronic device 1 is placed on the test site such as the wrist of the subject, the pulse contact portion 14 may be positioned so as to abut on the test site of the subject. At this time, the pulse pad portion 14 may be positioned so as to abut, for example, on the site where the ulnar artery or radial artery of the subject is subcutaneously present.

3 and 4 are perspective views showing the appearance of the electronic device 1. FIG. 3 is a perspective view showing a state in which the electronic device 1 shown in FIG. 1 is viewed from a viewpoint in the positive direction of the Z axis. FIG. 4 is a perspective view showing a state in which the electronic device 1 shown in FIG. 3 is rotated 180 degrees about the Y axis.

As shown in FIG. 3, the electronic device 1 includes a lower housing 11 and an upper housing 12 in appearance. Further, as described above, the lower housing 11 includes a pulse contact portion 14, and the upper housing 12 includes a pressing portion 16.

Further, as shown in FIG. 3, the electronic device 1 includes a notification unit 20 and a switch 30.

The notification unit 20 notifies the subject or the like of information such as a measurement result of biological information. As shown in FIG. 3, the notification unit 20 may be a light emitting unit using, for example, a light emitting diode (LED). Further, the notification unit 20 may be a display device such as a liquid crystal display (LCD), an organic EL display (OELD: Organic Electro-Luminescence Display), or an inorganic EL display (IELD: Inorganic Electro-Luminescence Display). .. If a display device such as these is adopted as the notification unit 20, relatively detailed information such as the state of glucose metabolism or lipid metabolism of the subject can be displayed.

FIG. 3 shows an example in which the notification unit 20 is composed of three light emitting units (20a, 20b, and 20c). In FIG. 3, the notification unit 20a may be, for example, a light emitting unit indicating that the measurement result of biological information is relatively low. Further, the notification unit 20b may be, for example, a light emitting unit indicating that the measurement result of the biological information is intermediate (for example, within an allowable range). Further, the notification unit 20c may be, for example, a light emitting unit indicating that the measurement result of the biological information is relatively low. FIG. 3 shows an example in which the notification unit 20 is composed of three light emitting units, but the number of light emitting units constituting the notification unit 20 may be arbitrary. Further, the light emitting unit constituting the notification unit 20 may notify the subject of information such as a measurement result of biological information, for example, depending on various modes such as the color of light emission or the number of blinks.

The notification unit 20 notifies the subject not only information such as the measurement result of the biological information but also information such as, for example, whether the power of the electronic device 1 is turned on / off or whether the biological information is being measured. You may. At this time, the notification unit 20 turns on / off the power of the electronic device 1 or whether or not the measurement of the biological information is being performed by emitting light in a mode different from that when the information such as the measurement result of the biological information is notified. Information such as may be notified.

In one embodiment, the notification unit 20 does not have to be composed of a light emitting unit. For example, the notification unit 20 may be configured by a sound output unit such as a speaker or a buzzer. In this case, the notification unit 20 may notify the subject or the like of information such as a measurement result of biological information by various sounds or voices.

Further, in one embodiment, the notification unit 20 may be configured by a tactile presentation unit such as a vibrator or a piezoelectric element. In this case, the notification unit 20 may notify the subject or the like of information such as a measurement result of biological information by various vibrations or tactile feedback.

The switch 30 may be, for example, a switch for switching the power on / off of the electronic device 1. Further, the switch 30 may be, for example, a switch for causing the electronic device 1 to start measuring biometric information. It may be a switch for starting the measurement. FIG. 3 shows an example in which the switch 30 is configured by a slide switch. However, the switch 30 may be configured by any switch, for example a push button switch. For example, when the switch 30 is composed of a push button switch, various operations of the electronic device 1 may be made to correspond based on the number of times the switch 30 is pressed and / or the time when the switch 30 is pressed.

As shown in FIG. 4, the lower housing 11 of the electronic device 1 includes a pulse contact portion 14. As described above, the pulse contact portion 14 is a member that appropriately abuts the subject's test site when measuring the biological information of the subject by the electronic device 1. Therefore, the pulse pad portion 14 may be sized so as to appropriately abut the site where the ulnar artery or radial artery of the subject is subcutaneously present, for example. For example, as shown in FIG. 4, the pulse contact portion 14 may have a width of about 1 cm to 1.5 cm in the X-axis direction. The width of the pulse contact portion 14 in the X-axis direction may be other than about 1 cm to 1.5 cm.

FIG. 5 is a diagram showing a cross section of the electronic device 1 together with a cross section of the wrist of the subject. FIG. 5 is a diagram showing a cross section taken along the line AA shown in FIGS. 3 and 4. The wrist of the subject shown in FIG. 5 is the same as that shown in FIG.

As shown in FIG. 5, the electronic device 1 includes a lower housing 11 and an upper housing 12. A pulse contact portion 14 is installed on the side of the lower housing 11 on the side to be inspected. Here, the pulse pad portion 14 is in contact with the site where the radial artery of the subject is subcutaneously present. As shown in FIG. 5, the lower housing 11 has an opening on the negative side of the Z axis. Further, the upper housing 12 has an opening on the positive direction side of the Z axis. In the example shown in FIG. 5, the opening of the lower housing 11 is made smaller than the opening of the upper housing 12, and the opening of the lower housing 11 is inserted into the opening of the upper housing 12. There is. However, the opening of the upper housing 12 may be made smaller than the opening of the lower housing 11, and the opening of the upper housing 12 may be inserted into the opening of the lower housing 11. The lower housing 11 and the upper housing 12 may be configured so as to be able to move freely to some extent without interfering with each other.

As shown in FIG. 5, the substrate 40 is arranged inside the lower housing 11. Further, the above-mentioned notification unit 20 is arranged inside the upper housing 12.

The substrate 40 may be a general circuit board on which various electronic components and the like can be arranged. A battery holder 42 is arranged on the surface of the substrate 40 on the negative side of the Z axis. This battery holder is a member for fixing the battery 60. The battery 60 may be an arbitrary power source such as a button type battery (coin type battery) such as CR2032. Further, the battery 60 may be, for example, a rechargeable storage battery. The battery 60 may appropriately include, for example, a lithium ion battery and a control circuit for charging and discharging the lithium ion battery. The battery 60 may supply electric power to each functional unit of the electronic device 1.

Various electronic components may be arranged on the surface of the substrate 40 on the negative positive side of the Z axis. In the example shown in FIG. 5, a switch 30, a sensor 50, a control unit 52, a storage unit 54, and a communication unit 56 are arranged on the Z-axis negative positive side surface of the substrate 40.

The sensor 50 includes, for example, an angular velocity sensor, detects a pulsation from a test site, and acquires a pulse wave. The sensor 50 may detect the displacement of the pulse contact portion 14 based on the pulse wave of the subject. Further, the sensor 50 may be, for example, an acceleration sensor or a sensor such as a gyro sensor. Further, the sensor 50 may be an angular velocity sensor. The sensor 50 will be further described later.

As shown in FIG. 5, the sensor 50 is fixed to the substrate 40. Further, the substrate 40 is fixed inside the lower housing 11. Further, the pulse contact portion 14 is fixed to the outside of the lower housing 11. Therefore, the movement of the pulse contact portion 14 is transmitted to the sensor 50 via the lower housing 11 and the substrate 40. Therefore, the sensor 50 can detect the pulsation at the test site of the subject via the pulse pad 14, the lower housing 11, and the substrate 40.

In the example shown in FIG. 5, the sensor 50 is arranged in contact with the inside of the lower housing 11. However, in one embodiment, the sensor 50 may be arranged so as not to be in contact with the inside of the lower housing 11. For example, the sensor 50 may have an arbitrary configuration in which at least one of the movements of the pulse contact portion 14, the lower housing 11, and the substrate 40 is transmitted.

The control unit 52 is a processor that controls and manages the entire electronic device 1 including each functional block of the electronic device 1. Further, the control unit 52 is a processor that calculates an index based on the propagation phenomenon of the pulse wave from the acquired pulse wave. The control unit 52 is composed of a processor such as a CPU (Central Processing Unit) that executes a program that defines a control procedure and a program that calculates an index based on a pulse wave propagation phenomenon, and the program is, for example, a storage unit 54 or the like. It is stored in the storage medium. In addition, the control unit 52 estimates the state of the subject regarding glucose metabolism, lipid metabolism, and the like based on the calculated index. The control unit 52 notifies the notification unit 20 of the data.

The storage unit 54 stores programs and data. The storage unit 54 may include any non-transitory storage medium such as a semiconductor storage medium and a magnetic storage medium. The storage unit 54 may include a plurality of types of storage media. The storage unit 54 may include a combination of a portable storage medium such as a memory card, an optical disk, or a magneto-optical disk, and a reading device for the storage medium. The storage unit 54 may include a storage device used as a temporary storage area such as a RAM (Random Access Memory). The storage unit 54 stores various information and / or a program for operating the electronic device 1 and also functions as a work memory. The storage unit 54 may store, for example, the measurement result of the pulse wave acquired by the sensor 50.

The communication unit 56 transmits / receives various data by performing wired communication or wireless communication with an external device. For example, the communication unit 56 communicates with an external device that stores the biological information of the subject in order to manage the health condition, and the measurement result of the pulse wave measured by the electronic device 1 and / or the electronic device 1 estimates. The health condition is transmitted to the external device. The communication unit 56 may be a communication module compatible with, for example, Bluetooth (registered trademark) or Wi-Fi.

The arrangement of the switch 30, the sensor 50, the control unit 52, the storage unit 54, and the communication unit 56 is not limited to the example shown in FIG. For example, the above-mentioned functional unit may be arranged at an arbitrary position on the substrate 40. Further, the above-mentioned functional unit is not limited to the arrangement on the same surface of the substrate 40, and may be appropriately arranged on either side of the substrate 40. Further, the arrangement of the notification unit 20 is not limited to the example shown in FIG. For example, the notification unit 20 may be arranged on the board 40, the battery holder 42, or the lower housing 11 instead of being arranged on the upper housing 12. In this case, for example, a hole may be formed in any part of the upper housing 12 so that the light emitted by the notification unit 20 as the light emitting unit can be visually recognized. Further, for example, a light guide plate may be installed at any position in the lower housing 11 or the upper housing 12, and the light emitted by the notification unit 20 as a light emitting unit may be emitted from the outside of the lower housing 11 or the upper housing 12. It may be visible.

When the electronic device 1 is connected to an external device by wire or wirelessly, for example, at least a part of functional units such as a notification unit 20, a switch 30, a control unit 52, a storage unit 54, and a communication unit 56 is appropriately connected to the external device. You may prepare for.

As shown in FIG. 5, in the electronic device 1, the lower housing 11 and the upper housing 12 are connected to each other by an elastic member 70. In the example shown in FIG. 5, the upper housing 12 and the battery holder 42 are connected to each other by an elastic member 70. However, the elastic member 70 may connect, for example, the upper housing 12 and the substrate 40 or the lower housing 11 to each other. In one embodiment, the elastic member 70 may connect an arbitrary member on the lower housing 11 side and an arbitrary member on the upper housing 12 side to each other. The elastic member 70 may be an elastic member that can be deformed along at least one of three axes (for example, Y-axis, Y-axis, and Z-axis) that are orthogonal to each other. The elastic member 70 is a member that can be deformed in three dimensions.

The elastic member 70 may be configured to include any elastic body having appropriate elasticity, such as a spring, a resin, a sponge, or the like. The elastic member 70 may be formed of, for example, a silicon sheet having a predetermined elasticity and a predetermined thickness. The elastic member 70 will be further described later. The elastic member 70 and the upper housing 12 may be adhered to each other with an adhesive, double-sided tape, or the like. Further, the elastic member 70 and the lower housing 11, the substrate 40, or the battery holder 42 may be adhered to each other with an adhesive or double-sided tape. Here, the adhesion between the elastic member 70 and another member may be made so that the influence on the deformation of the elastic member 70 is reduced. That is, even if the elastic member 70 and another member are adhered to each other, the elastic member 70 may be configured so as to be appropriately deformable.

As described above, the electronic device 1 according to the embodiment includes a pressing portion 16, a sensor 50, and an elastic member 70. The pressing portion 16 is pressed toward the test site side of the subject. In FIG. 5, the subject may press the pressing portion 16 in the direction of the arrow P, for example. The sensor 50 detects the pulsation in the test site of the test subject. The elastic member 70 is interposed between the sensor 50 and the pressing portion 16.

As shown in FIG. 5, in a state where the electronic device 1 is placed on the test site of the subject, the pulse contact portion 14 is the skin on the test site of the subject, that is, the radial artery of the subject. Is in contact with. Further, the pressing portion 16 is pressed toward the test site, that is, in the direction of the arrow P, by, for example, the finger of the subject's right hand. Further, due to the elastic force of the elastic body 140 arranged between the pressing portion 16 (upper housing 12) and the sensor 50, the sensor 50 (along with the lower housing 11 and the pulse contact portion 14) is covered by the subject. It is urged to the inspection site side. Further, the pulse pad portion 14 urged by the elastic force of the elastic body 140 is in contact with the skin on the radial artery of the subject. In this case, the pulse pad portion 14 is displaced according to the movement of the radial artery of the subject, that is, the pulsation. Therefore, the sensor 50 interlocked with the pulse contact portion 14 also displaces according to the movement of the radial artery of the subject, that is, the pulsation. For example, as shown in FIG. 5, in a state where the pressing portion 16 is pressed in the direction of the arrow P by the subject, the pressing portion 16 can be displaced in the direction shown by the arrow D with the axis S as the center. Here, the shaft S may be a portion where the bottom surface of the lower housing 11 is in contact with the wrist of the subject. In this case, the position pressed in the direction of the arrow P (that is, the position of the pressing portion 16) may be a position between the axis S and the pulse contact portion 14 (examined portion) on the XY plane.

In the present embodiment, the sensor 50 interlocked with the pulse contact portion 14 is coupled to the upper housing 12 (pressing portion 16) via the elastic member 70. Therefore, the sensor 50 is given a range of motion that is free to some extent due to the flexibility of the elastic member 70. Further, the flexibility of the elastic member 70 makes it difficult for the movement of the sensor 50 to be hindered. Further, the elastic member 70 has an appropriate elasticity, so that the elastic member 70 is deformed following the pulsation at the test site of the subject. Therefore, in the electronic device 1 according to the present embodiment, the sensor 50 can sensitively detect the pulsation in the test site of the test subject. Further, the electronic device 1 according to the present embodiment can eliminate the congestion of the subject and eliminate the pain by displacing the electronic device 1 following the pulse wave. As described above, in the present embodiment, the elastic member 70 may be made deformable according to the pulsation in the test site of the test subject. Further, the elastic member 70 may be elastically deformed to such an extent that the sensor 50 can detect the pulsation at the test site of the subject.

As described above, the electronic device 1 according to the embodiment can function as a small and lightweight measuring device. The electronic device 1 according to the embodiment is not only excellent in portability, but also can measure the biological information of the subject extremely easily. Further, the electronic device 1 according to the embodiment can measure biological information by itself without coordinating with other external devices or the like. Also, in this case, it is not necessary to form an accessory such as another cable. Therefore, according to the electronic device 1 according to the embodiment, convenience can be enhanced.

In the present embodiment, the sensor 50 may be a sensor such as a gyro sensor (gyroscope) that detects at least one of an angle (tilt), an angular velocity, and an angular acceleration of an object with respect to a plurality of axes. In this case, the sensor 50 can detect a complicated movement based on the pulsation in the test site of the subject as a parameter for each of the plurality of axes. Further, the sensor 50 may be a 6-axis sensor in which a 3-axis gyro sensor and a 3-axis acceleration sensor are combined.

FIG. 6 is a diagram showing an example of a usage mode of the electronic device 1. FIG. 6 is an enlarged view showing the situation shown in FIG.

For example, as shown in FIG. 6, the sensor 50 built in the electronic device 1 may detect rotational motion about each of the three axes of α-axis, β-axis, and γ-axis. The α-axis may be, for example, an axis along a direction substantially orthogonal to the radial artery of the subject. Further, the β axis may be, for example, an axis along a direction substantially parallel to the radial artery of the subject. Further, the γ axis may be, for example, an axis along a direction substantially orthogonal to both the α axis and the β axis.

As described above, in the present embodiment, the sensor 50 may detect the pulsation in the test site of the test subject as a part of the rotational movement about a predetermined axis. Further, the sensor 50 may detect the pulsation at the test site of the subject as at least biaxial rotational motion, or may detect it as triaxial rotational motion. In the present disclosure, the "rotational motion" does not necessarily have to be a motion that displaces one or more turns on the orbit of a circle. For example, in the present disclosure, the rotational motion may be, for example, a partial displacement (for example, a displacement along an arc) of less than one circumference on the orbit of a circle.

As shown in FIG. 6, the electronic device 1 according to the present embodiment can detect, for example, a rotational motion about each of the three axes by a sensor 50. Therefore, the electronic device 1 according to the present embodiment can increase the detection sensitivity of the pulse wave of the subject by synthesizing the plurality of results detected by the sensor 50 by adding them together. Calculations such as summing may be performed by, for example, the control unit 52. In this case, the control unit 52 may calculate an index of the pulse wave based on the pulsation detected by the sensor 50.

For example, in the example shown in FIG. 6, the time change of the signal intensity based on the rotational movement of the sensor 50 about the α axis and the β axis has a remarkable peak based on the pulse wave of the subject, respectively. Therefore, the control unit 52 can improve the detection accuracy of the pulse wave of the subject by, for example, adding up the detection results for the α-axis, the β-axis, and the γ-axis. Therefore, according to the electronic device 1 according to the present embodiment, it is possible to improve the usefulness when the subject measures the pulse wave.

In one embodiment, the control unit 52 of the electronic device 1 may calculate an index of the pulse wave based on the pulsation detected by the sensor 50. In this case, the control unit 52 may synthesize (for example, add up) the results detected by the sensor 50 as at least two axes of rotational motion (for example, three axes of rotational motion). According to the electronic device 1 according to the present embodiment, pulse wave signals in a plurality of directions can be detected. Therefore, according to the electronic device 1 according to the present embodiment, by synthesizing the detection results for a plurality of axes, the signal strength is higher than the detection results for one axis. Therefore, according to the electronic device 1 according to the present embodiment, it is possible to detect a signal having a good SN ratio, increase the detection sensitivity, and enable stable measurement.

Further, in the detection result for the γ-axis shown in FIG. 6, it is assumed that the peak based on the pulse wave of the subject does not appear remarkably as compared with the detection result for the other α-axis or β-axis. As described above, when the detection result having a low signal level such as the detection result for the γ axis is added to the detection result for the other axes, the SN ratio may decrease. In addition, most of the detection results with low signal levels can be regarded as noise components. In such cases, detection results with low signal levels may not contain good pulse wave components. Therefore, in the present embodiment, if there is an axis whose detection result does not reach a predetermined threshold value among the detection results for the plurality of axes, the control unit 52 does not have to add up the detection results of the axes.

For example, it is assumed that the pulsation of a subject is detected by the sensor 50 as a rotational movement centered on each of the α-axis, β-axis, and γ-axis. As a result, it is assumed that the peak values in the detection results for the α-axis, β-axis, and γ-axis each exceed a predetermined threshold value. In such a case, the control unit 52 adds up all of the detection results for the α-axis, the detection results for the β-axis, and the detection results for the γ-axis to obtain a pulse wave based on the pulsation detected by the sensor 50. It may be calculated as an index.

On the other hand, for example, as a result of detecting the pulsation of a certain subject, it is assumed that the peak values in the detection results for the α-axis and the β-axis each exceed a predetermined threshold value. However, it is assumed that the peak value in the detection result for the γ axis does not exceed a predetermined threshold value. In such a case, the control unit 52 may calculate the sum of the detection results for the α-axis and the detection results for the β-axis as an index of the pulse wave based on the pulsation detected by the sensor 50.

When performing such processing, the control unit 52 may set a threshold value as a reference for whether or not the detection result for each axis is included in the total separately for each axis, or for each axis. The same may be decided. In either case, a threshold value may be appropriately set so that the pulsation of the subject is appropriately detected in the detection result for each axis.

As described above, in the electronic device 1 according to the present embodiment, even if the control unit 52 synthesizes only the result detected by the sensor 50 as the rotational motion of at least two axes having a component having a predetermined threshold value or more. good. Therefore, according to the electronic device 1 according to the present embodiment, it is possible to suppress a decrease in the SN ratio of the detection result. Therefore, according to the electronic device 1 according to the present embodiment, it is possible to improve the usefulness when the subject measures the pulse wave.

Further, as described above, when summing up the detection results for a plurality of axes, it is expected that inconvenience will occur if the detection results for each axis are simply summed up as they are. It is presumed that this is because the polarity of the result detected by the sensor 50 does not match due to the positional relationship between the pulsation direction of the subject and the sensor 50. For example, it is assumed that the polarity of the detection result for a certain axis is reversed between the case where the pulsation of the right hand of the subject is detected by using the sensor 50 and the case where the pulsation of the left hand is detected.

For example, when the pulsation of the subject is detected, it is assumed that an upward peak is detected almost periodically in the detection result for a certain axis. However, at the same time, it is also assumed that downward peaks are detected almost periodically in the detection results for other axes. In this way, when the polarities are reversed in the detection results for a plurality of axes, it is assumed that the peaks cancel each other out and good results cannot be obtained by simply adding them as they are.

Therefore, in the present embodiment, when the polarities of the detection results for a plurality of axes are reversed, the control unit 52 reverses the polarities of the detection results for at least one axis, and then sets the polarities for the other axes. You may add them up. For example, when the polarity of the detection result for two axes is reversed, the control unit 52 may reverse the polarity of the detection result for one axis according to the other axis.

As described above, in the electronic device 1 according to the present embodiment, the control unit 52 may synthesize the results detected by the sensor 50 as rotational motion of at least two axes after making the respective polarities uniform. According to the electronic device 1 according to the present embodiment, it is possible to improve the detection accuracy of the pulse wave of the subject. Therefore, according to the electronic device 1 according to the present embodiment, it is possible to improve the usefulness when the subject measures the pulse wave.

As described above, when performing the process of aligning the polarities of the detection results for a plurality of axes by reversing the polarities of the detection results for at least one axis, it is necessary to determine the direction of the polarities in each detection result. be. Such determination of the direction of polarity can be performed by various methods. For example, the control unit 52 may determine whether the peak of the detection result for each axis is oriented in the positive direction side or the negative direction side of the signal strength. Further, for example, the control unit 52 may determine whether the peak of the detection result for each axis is larger or smaller than the average value of the signals. Further, when reversing the polarity of the detection result for at least one axis, the control unit 52 may multiply the detection result of reversing the polarity by -1.

Further, the control unit 52 may appropriately invert the polarity of the detection result as described above, add or subtract a predetermined value to the entire detection result, and then add the detection result to the other axes. Further, the control unit 52 may appropriately weight the detection results for each axis or correct the detection results for each axis before summing up the detection results for the plurality of axes. good.

FIG. 7 is a functional block diagram showing a schematic configuration of the electronic device 1. The electronic device 1 includes a notification unit 20, a switch 30, a sensor 50, a control unit 52, a storage unit 54, a communication unit 56, and a battery 60. These functional parts have already been described.

FIG. 8 is a diagram showing an example of a pulse wave acquired on the wrist using the electronic device 1. FIG. 8 shows a case where an angular velocity sensor is used as the sensor 50 for detecting pulsation. In FIG. 8, the angular velocity acquired by the angular velocity sensor is time-integrated, and the horizontal axis represents time and the vertical axis represents angle. Since the acquired pulse wave may contain noise caused by, for example, the body movement of the subject, it may be corrected by a filter that removes the DC (Direct Current) component to extract only the pulsating component.

A method of calculating an index based on the pulse wave from the acquired pulse wave will be described with reference to FIG. Wave propagation is a phenomenon in which the pulsation of blood extruded from the heart travels through the walls of arteries or blood. The pulsation caused by the blood extruded from the heart reaches the periphery of the limbs as a forward wave, and a part of the pulsation is reflected at the branch of the blood vessel, the change in the diameter of the blood vessel, etc. and returns as a reflected wave. Indicators based on the pulse wave are, for example, the pulse wave velocity _PWV (Pulse Wave Velocity) of the forward wave, the magnitude PR of the reflected wave of the pulse wave, the time difference Δt between the forward wave and the reflected wave of the pulse wave, and the pulse wave. It is an AI (Augmentation Index) or the like represented by the ratio of the magnitudes of the forward wave and the reflected wave.

The pulse wave shown in FIG. 8 is the pulse of n times of the user, and n is an integer of 1 or more. The pulse wave is a synthetic wave in which a forward wave generated by the ejection of blood from the heart and a reflected wave generated from a blood vessel branch or a change in blood vessel diameter are overlapped. In FIG. 8, the magnitude of the peak of the pulse wave due to the forward wave for each pulse is _PFn , the magnitude of the peak of the pulse wave due to the reflected wave for each pulse is _PRn , and the minimum value of the pulse wave for each pulse is _PSn . show. Further, in FIG. 8, the interval between the peaks of the pulse is shown by _TPR .

The index based on the pulse wave is a quantification of the information obtained from the pulse wave. For example, PWV, which is one of the indexes based on the pulse wave, is calculated based on the propagation time difference of the pulse wave measured at two test sites such as the upper arm and the ankle and the distance between the two points. Specifically, the PWV is obtained by synchronizing the pulse waves (for example, the upper arm and the ankle) at two points of the artery, and the difference (L) between the two points is divided by the time difference (PTT) between the two points. Is calculated. For example, for the magnitude _{PR of the reflected wave, which is one of the indexes based on the pulse wave, the magnitude PRn of} the peak of the pulse wave due to the reflected wave may be calculated, or the P _Rave obtained by averaging n times may be calculated. It may be calculated. For example, for the time difference Δt between the forward wave and the reflected wave of the pulse wave, which is one of the indexes based on the pulse wave, the time difference Δt _n in a predetermined pulse may be calculated, or the time difference for n times is averaged Δt. _You may calculate the average. For example, AI, which is one of the indexes based on pulse waves, is obtained by dividing the magnitude of the reflected wave by the magnitude of the forward wave, and AI _n = (P _Rn - _PSn ) / ( _PFn - _PSn ). ). AI _n is the AI for each pulse. For AI, for example, the pulse wave may be measured for several seconds, the average value AI _ave of AI _n (an integer of n = 1 to n) for each pulse may be calculated, and the AI may be used as an index based on the pulse wave.

Since the pulse wave velocity _PWV , the magnitude PR of the reflected wave, the time difference Δt between the forward wave and the reflected wave, and the AI change depending on the hardness of the blood vessel wall, they are used for estimating the state of arteriosclerosis. Can be done. For example, if the blood vessel wall is hard, the pulse wave velocity PWV becomes large. For example, if the blood vessel wall is hard, the magnitude _PR of the reflected wave becomes large. For example, if the blood vessel wall is hard, the time difference Δt between the forward wave and the reflected wave becomes small. For example, if the blood vessel wall is hard, the AI will be large. Further, the electronic device 1 can estimate the state of arteriosclerosis and the fluidity (viscosity) of blood by using the index based on these pulse waves. In particular, the electronic device 1 has blood fluidity due to changes in the index based on the pulse wave acquired in the same test site of the same subject and in a period in which the state of arteriosclerosis hardly changes (for example, within several days). Changes can be estimated. Here, the blood fluidity indicates the ease of blood flow. For example, when the blood fluidity is low, the pulse wave velocity PWV becomes small. For example, when the blood _fluidity is low, the magnitude PR of the reflected wave becomes small. For example, when the blood fluidity is low, the time difference Δt between the forward wave and the reflected wave becomes large. For example, if the blood fluidity is low, the AI will be small.

In the present embodiment, as an example of an index based on the pulse wave, the electronic device 1 calculates the pulse wave velocity _PWV , the magnitude PR of the reflected wave, the time difference Δt between the forward wave and the reflected wave, and AI. As shown, the index based on the pulse wave is not limited to this. For example, the electronic device 1 may use the posterior systolic blood pressure as an index based on the pulse wave.

FIG. 9 is a diagram showing the calculated time variation of AI. In this embodiment, the pulse wave was acquired for about 5 seconds using an electronic device 1 equipped with an angular velocity sensor 131. The control unit 52 calculated the AI for each pulse from the acquired pulse wave, and further calculated the average value AI _ave of these. In the present embodiment, the electronic device 1 acquires pulse waves at a plurality of timings before and after a meal, and calculates an average value of AI (hereinafter referred to as AI) as an example of an index based on the acquired pulse waves. bottom. The horizontal axis of FIG. 9 shows the passage of time with the first measurement time after a meal as 0. The vertical axis of FIG. 9 shows the AI calculated from the pulse wave acquired at that time. The subject was at rest and the pulse wave was obtained on the radial artery.

The electronic device 1 acquired pulse waves before meals, immediately after meals, and every 30 minutes after meals, and calculated a plurality of AIs based on each pulse wave. The AI calculated from the pulse waves acquired before meals was about 0.8. The AI immediately after the meal was smaller than that before the meal, and the AI reached the minimum extreme value about 1 hour after the meal. AI gradually increased until the measurement was completed 3 hours after eating.

The electronic device 1 can estimate the change in blood fluidity from the calculated change in AI. For example, when red blood cells, white blood cells, and platelets in blood are solidified into dumplings or the adhesive strength is increased, the fluidity of blood is lowered. For example, as the water content of plasma in blood decreases, the fluidity of blood decreases. These changes in blood fluidity vary depending on, for example, the glycolipid state described later, or the health state of the subject such as heat stroke, dehydration, and hypothermia. Before the health condition of the subject becomes serious, the subject can know the change in the fluidity of his / her blood by using the electronic device 1 of the present embodiment. From the change in AI before and after the meal shown in FIG. 9, the blood fluidity became low after the meal, the blood fluidity became the lowest about 1 hour after the meal, and then the blood fluidity gradually increased. Can be estimated. The electronic device 1 may notify the state where the blood fluidity is low as "muddy" and the state where the blood fluidity is high as "smooth". For example, the electronic device 1 may determine "muddy" or "smooth" based on the average value of AI at the actual age of the subject. The electronic device 1 may be determined to be "smooth" if the calculated AI is larger than the average value, and "muddy" if the calculated AI is smaller than the average value. In the electronic device 1, for example, the determination of "muddy" or "smooth" may be made based on the AI before meals. The electronic device 1 may estimate the degree of “muddy” by comparing the AI after a meal with the AI before a meal. The electronic device 1 can be used as an index of the blood vessel age (blood vessel hardness) of the subject, for example, as AI before meals, that is, AI on an empty stomach. The electronic device 1 is estimated based on the blood vessel age (blood vessel hardness) of the subject, for example, by calculating the calculated change amount of AI based on the AI before meals of the subject, that is, the AI on an empty stomach. Since the error can be reduced, the change in blood fluidity can be estimated more accurately.

FIG. 10 is a diagram showing the measured results of the calculated AI and blood glucose level. The method of acquiring the pulse wave and the method of calculating the AI are the same as those of the embodiment shown in FIG. The right vertical axis of FIG. 10 shows the blood glucose level in blood, and the left vertical axis shows the calculated AI. The solid line in FIG. 10 shows the AI calculated from the acquired pulse wave, and the dotted line shows the measured blood glucose level. The blood glucose level was measured immediately after the pulse wave was acquired. The blood glucose level was measured using a blood glucose meter "Medisafe Fit" manufactured by Terumo Corporation. The blood glucose level immediately after a meal is increased by about 20 mg / dl as compared with the blood glucose level before a meal. About 1 hour after eating, the blood glucose level reached the maximum extreme value. After that, the blood glucose level gradually decreased until the measurement was completed, and became almost the same as the blood glucose level before the meal about 3 hours after the meal.

As shown in FIG. 10, the blood glucose level before and after a meal has a negative correlation with the AI calculated from the pulse wave. When the blood glucose level is high, the sugar in the blood may cause red blood cells and platelets to clump together in a dumpling shape or become more adhesive, resulting in lower blood fluidity. When blood fluidity is low, the pulse wave velocity PWV may be low. When the pulse wave velocity PWV becomes small, the time difference Δt between the forward wave and the reflected wave may become large. When the time difference Δt between the forward wave and the reflected wave becomes large, the magnitude PR of the reflected wave may be smaller than the _{magnitude PF} of the forward wave. When the magnitude PR of the reflected wave becomes smaller than the magnitude _PF of the forward wave, the _AI may become smaller. Since the AI within a few hours after a meal (3 hours in the present embodiment) correlates with the blood glucose level, it is possible to estimate the fluctuation of the blood glucose level of the subject from the fluctuation of the AI. Further, if the blood glucose level of the subject is measured in advance and the correlation with the AI is acquired, the electronic device 1 can estimate the blood glucose level of the subject from the calculated AI.

Based on the time of occurrence of AI _P , which is the minimum extreme value of AI detected first after a meal, the electronic device 1 can estimate the state of glucose metabolism of the subject. The electronic device 1 estimates, for example, a blood glucose level as a state of glucose metabolism. As an estimation example of the state of glucose metabolism, for example, when the minimum extremum AI _P of AI first detected after a meal is detected after a predetermined time or more (for example, about 1.5 hours or more after a meal), the electronic device 1 is used. , It can be estimated that the subject has abnormal glucose metabolism (diabetic patient).

Based on the difference between AI _B , which is AI before meals, and AI _P , which is the minimum extremum of AI detected first after meals (AI _B -AI _P ), electronic device 1 is glucose metabolism of the subject. The state of can be estimated. As an estimation example of the state of glucose metabolism, for example, when (AI _B -AI _P ) is a predetermined value or more (for example, 0.5 or more), it can be estimated that the subject has an abnormal glucose metabolism (patient with postprandial hyperglycemia).

FIG. 11 is a diagram showing the relationship between the calculated AI and the blood glucose level. The calculated AI and blood glucose level were obtained within 1 hour after a meal in which the blood glucose level fluctuated greatly. The data in FIG. 11 includes different post-meal data for the same subject. As shown in FIG. 11, the calculated AI and the blood glucose level showed a negative correlation. The correlation coefficient between the calculated AI and the blood glucose level was 0.9 or more, showing a very high correlation. For example, if the correlation between the calculated AI and the blood glucose level as shown in FIG. 11 is acquired in advance for each subject, the electronic device 1 estimates the blood glucose level of the subject from the calculated AI. You can also do it.

FIG. 12 is a diagram showing the measurement results of the calculated AI and triglyceride level. The method of acquiring the pulse wave and the method of calculating the AI are the same as those of the embodiment shown in FIG. The right vertical axis of FIG. 12 shows the triglyceride level in blood, and the left vertical axis shows AI. The solid line in FIG. 12 shows the AI calculated from the acquired pulse wave, and the dotted line shows the measured triglyceride level. The triglyceride level was measured immediately after the pulse wave was acquired. The triglyceride level was measured using a lipid measuring device "Pocket Lipid" manufactured by Techno Medica. The maximum extremum of triglyceride level after meal is increased by about 30 mg / dl as compared with the triglyceride level before meal. About 2 hours after eating, triglyceride reached the maximum extremum. After that, the triglyceride level gradually decreased until the measurement was completed, and became almost the same as the triglyceride level before the meal about 3.5 hours after the meal.

On the other hand, as for the calculated minimum extremum of AI, the first minimum extremum AI _P1 was detected about 30 minutes after the meal, and the second minimum extremum AI _P2 was detected about 2 hours after the meal. .. It can be estimated that the first minimum extremum AI _P1 detected about 30 minutes after a meal is due to the influence of the above-mentioned postprandial blood glucose level. The second minimum extremum AI _P2 detected about 2 hours after a meal is almost the same as the maximum triglyceride value detected about 2 hours after a meal. From this, it can be estimated that the second minimum extremum AI _P2 detected after a predetermined time from the meal is due to the influence of triglyceride. It was found that the triglyceride level before and after a meal has a negative correlation with the AI calculated from the pulse wave, similar to the blood glucose level. In particular, the minimum extreme value AI _P2 of AI detected after a predetermined time from a meal (after about 1.5 hours in this embodiment) correlates with the triglyceride level, and therefore, it is examined due to fluctuations in AI. It is possible to estimate the fluctuation of the triglyceride level of a person. Further, if the triglyceride level of the subject is measured in advance and the correlation with the AI is acquired, the electronic device 1 can estimate the triglyceride level of the subject from the calculated AI. ..

Based on the time of occurrence of the second minimum extremum AI _P2 detected after a predetermined time after a meal, the electronic device 1 can estimate the state of lipid metabolism of the subject. The electronic device 1 estimates, for example, a lipid value as a state of lipid metabolism. As an estimation example of the state of lipid metabolism, for example, when the second minimum extremum AI _P2 is detected after a predetermined time or more (for example, 4 hours or more) after a meal, the electronic device 1 shows that the subject has an abnormality in lipid metabolism. It can be presumed to be (hyperlipidemia patient).

Based on the difference (AI _B -AI _P2 ) between AI _B , which is AI before meals, and AI _P2 , which is the second minimum extremum detected after a predetermined time after meals, the electronic device 1 is a lipid of the subject. The state of metabolism can be estimated. As an estimation example of dyslipidemia, for example, when (AI _B -AI _P2 ) is 0.5 or more, it can be estimated that the subject has dyslipidemia (patient with postprandial hyperlipidemia) in the electronic device 1.

Further, from the measurement results shown in FIGS. 10 to 12, the electronic device 1 of the present embodiment is the subject based on the first minimum extreme value AI _P1 detected earliest after a meal and its occurrence time. The state of glucose metabolism can be estimated. Further, the electronic device 1 of the present embodiment is based on the second minimum extreme value AI _P2 detected after a predetermined time after the first minimum extreme value AI _P1 and the generation time thereof. The state of lipid metabolism can be estimated.

In this embodiment, the case of triglyceride has been described as an estimation example of lipid metabolism, but the estimation of lipid metabolism is not limited to triglyceride. The lipid value estimated by the electronic device 1 includes, for example, total cholesterol, good (HDL: High Density Lipoprotein) cholesterol, bad (LDL: Low Density Lipoprotein) cholesterol, and the like. These lipid levels also show the same tendency as in the case of the above-mentioned neutral fat.

FIG. 13 is a flow chart showing a procedure for estimating the fluidity of blood and the states of glucose metabolism and lipid metabolism based on AI. With reference to FIG. 13, the flow of estimation of blood fluidity, glucose metabolism, and lipid metabolism state by the electronic device 1 according to the embodiment will be described.

As shown in FIG. 13, the electronic device 1 acquires the AI reference value of the subject as an initial setting (step S101). As the AI reference value, the average AI estimated from the age of the subject may be used, or the fasting AI of the subject obtained in advance may be used. Further, in the electronic device 1, the AI determined to be before meals in steps S102 to S108 may be used as the AI reference value, or the AI calculated immediately before the pulse wave measurement may be used as the AI reference value. In this case, the electronic device 1 executes step S101 after steps S102 to S108.

Subsequently, the electronic device 1 acquires the pulse wave (step S102). For example, the electronic device 1 determines whether or not a pulse wave acquired in a predetermined measurement time (for example, 5 seconds) has a predetermined amplitude or more. When a predetermined amplitude or more is obtained for the acquired pulse wave, the process proceeds to step S103. If no greater than the predetermined amplitude is obtained, step S102 is repeated (these steps are not shown). In step S102, for example, when the electronic device 1 detects a pulse wave having a predetermined amplitude or more, the electronic device 1 automatically acquires the pulse wave.

The electronic device 1 calculates AI as an index based on the pulse wave from the pulse wave acquired in step S102 and stores it in the storage unit 54 (step S103). The electronic device 1 may calculate an average value AI _ave from AI _n (an integer of n = 1 to n) for each predetermined pulse rate (for example, three beats) and use this as AI. Alternatively, the electronic device 1 may calculate the AI at a specific pulse rate.

The AI may be calculated by correcting it according to, for example, the pulse rate PR, the _pulse pressure ( _PF - _PS ), the body temperature, the temperature of the detected portion, and the like. It is known that pulse and AI and pulse pressure and AI both have a negative correlation, and temperature and AI have a positive correlation. When performing the correction, for example, in step S103, the electronic device 1 calculates the pulse and the pulse pressure in addition to the AI. For example, the electronic device 1 may mount a temperature sensor on the sensor 50 and acquire the temperature of the detected portion when acquiring the pulse wave in step S102. AI is corrected by substituting the acquired pulse, pulse pressure, temperature, etc. into the correction formula created in advance.

Subsequently, the electronic device 1 compares the AI reference value acquired in step S101 with the AI calculated in step S103 to estimate the blood fluidity of the subject (step S104). When the calculated AI is larger than the AI reference value (YES), it is estimated that the blood fluidity is high, and the electronic device 1 notifies, for example, that the blood fluidity is high (step S105). When the calculated AI is not larger than the AI reference value (NO), it is estimated that the blood fluidity is low, and the electronic device 1 notifies, for example, that the blood fluidity is low (step S106).

Subsequently, the electronic device 1 confirms with the subject whether or not to estimate the state of glucose metabolism and lipid metabolism (step S107). If sugar metabolism and lipid metabolism are not estimated in step S107 (NO), the electronic device 1 ends the process. When estimating glucose metabolism and lipid metabolism in step S107 (YES), the electronic device 1 confirms whether the calculated AI was acquired before or after a meal (step S108). If it is not after meal (before meal) (NO), the process returns to step S102 and the next pulse wave is acquired. After a meal (YES), the electronic device 1 stores the acquisition time of the pulse wave corresponding to the calculated AI (step S109). Subsequently, when acquiring a pulse wave (NO in step S110), the process returns to step S102 and the next pulse wave is acquired. When the pulse wave measurement is completed (YES in step S110), the process proceeds to step S111 or later, and the electronic device 1 estimates the state of glucose metabolism and lipid metabolism of the subject.

Subsequently, the electronic device 1 extracts the minimum extreme value and its time from the plurality of AIs calculated in step S104 (step S111). For example, when the AI as shown by the solid line in FIG. 12 is calculated, the electronic device 1 has a first minimum extremum AI _P1 about 30 minutes after a meal and a second minimum extremum about 2 hours after a meal. Extract AI _P2 .

Subsequently, the electronic device 1 estimates the state of glucose metabolism of the subject from the first minimum extreme value AI _P1 and its time (step S112). Further, the electronic device 1 estimates the state of lipid metabolism of the subject from the second minimum extreme value AI _P2 and its time (step S113). An estimation example of the state of glucose metabolism and lipid metabolism of the subject is the same as in FIG. 12 described above, and is therefore omitted.

Subsequently, the electronic device 1 notifies the estimation results of steps S112 and S113 (step S114), and ends the process shown in FIG. The notification unit 20 notifies, for example, "sugar metabolism is normal", "suspected glucose metabolism abnormality", "lipid metabolism is normal", "lipid metabolism abnormality is suspected", and the like. In this case, the notification unit 20 may perform the above-mentioned notification by, for example, lighting or blinking the light emitting unit. In addition, the notification unit 20 may notify advice such as "let's go to the hospital" and "let's review the eating habits". Then, the electronic device 1 ends the process shown in FIG.

In the present embodiment, the electronic device 1 can estimate the blood fluidity of the subject and the states of glucose metabolism and lipid metabolism from the index based on the pulse wave. Therefore, the electronic device 1 can estimate the blood fluidity of the subject and the states of glucose metabolism and lipid metabolism in a non-invasive manner in a short time.

In the present embodiment, the electronic device 1 can estimate the state of glucose metabolism and the state of lipid metabolism from the extreme value of the index based on the pulse wave and the time thereof. Therefore, the electronic device 1 can estimate the state of glucose metabolism and lipid metabolism of the subject in a non-invasive and short time.

In the present embodiment, the electronic device 1 can estimate the state of glucose metabolism and lipid metabolism of a subject, for example, based on an index based on a pulse wave before meals (fasting). Therefore, the blood fluidity, glucose metabolism, and lipid metabolism of the subject can be accurately estimated without considering the blood vessel diameter or the hardness of the blood vessel that does not change in a short period of time.

In the present embodiment, if the electronic device 1 calibrates the index based on the pulse wave with the blood glucose level and the lipid level, the blood glucose level and the lipid level of the subject can be estimated non-invasively and in a short time. Can be done.

FIG. 14 is a schematic diagram showing a schematic configuration of the system according to the first embodiment. The system shown in FIG. 14 includes an electronic device 1, a server 151, a mobile terminal 150, and a communication network. As shown in FIG. 14, the index based on the pulse wave calculated by the electronic device 1 is transmitted to the server 151 through the communication network and stored in the server 151 as the personal information of the subject. The server 151 estimates the blood fluidity of the subject and the state of glucose metabolism and lipid metabolism by comparing with the past acquired information of the subject and / or various databases. Server 151 also creates optimal advice for the subject. The server 151 returns the estimation result and the advice to the mobile terminal 150 owned by the subject. The mobile terminal 150 can construct a system in which the received estimation result and advice are notified from the display unit of the mobile terminal 150. By using the communication function of the electronic device 1, information from a plurality of users can be collected in the server 151, so that the estimation accuracy is further improved. Further, since the mobile terminal 150 is used as the notification means, the electronic device 1 does not require the notification unit 20, and is further miniaturized. Further, since the server 151 estimates the blood fluidity of the subject and the states of glucose metabolism and lipid metabolism, the calculation load of the control unit 52 of the electronic device 1 can be reduced. Further, since the past acquired information of the subject can be stored in the server 151, the burden on the storage unit 54 of the electronic device 1 can be reduced. Therefore, the electronic device 1 can be further miniaturized and simplified. In addition, the processing speed of the calculation is also improved.

The system according to the present embodiment shows a configuration in which the electronic device 1 and the mobile terminal 150 are connected by a communication network via the server 151, but the system according to the present invention is not limited to this. The electronic device 1 and the mobile terminal 150 may be directly connected to each other via a communication network without using the server 151.

In order to disclose this disclosure completely and clearly, characteristic examples have been described. However, the attached claims are not limited to the above embodiments, and all modifications and alternatives that can be created by those skilled in the art within the scope of the basic matters shown in the present specification are possible. It should be configured to embody a unique configuration.

For example, in the above-described embodiment, the case where the angular velocity sensor is provided as the sensor 50 has been described, but the embodiment of the electronic device 1 is not limited to this. The sensor 50 may include an optical pulse wave sensor including a light emitting unit and a light receiving unit, or may include a pressure sensor. Further, the test site where the electronic device 1 measures the biological information is not limited to the wrist of the test subject. It suffices if the sensor 50 is arranged on an artery such as the neck, ankle, thigh, and ear.

For example, in the above-described embodiment, the state of glucose metabolism and lipid metabolism of the subject was estimated based on the first and second extrema of the pulse wave-based index and these times. The process executed by the electronic device 1 is not limited to this. When only one extreme value appears, the extreme value may not appear, and the electronic device 1 is based on the overall tendency of the time fluctuation of the index based on the calculated pulse wave (for example, integrated value, Fourier transform, etc.). The state of glucose metabolism and lipid metabolism of the subject may be estimated. Further, the electronic device 1 does not extract the extreme value of the index based on the pulse wave, but the glucose metabolism and the lipid metabolism of the subject are based on the time range in which the index based on the pulse wave becomes equal to or less than a predetermined value. The state of may be estimated.

For example, in the above-described embodiment, the case of estimating the blood fluidity before and after a meal has been described, but the processing performed by the electronic device 1 is not limited to this. The electronic device 1 may estimate the fluidity of blood before and after exercise and during exercise, or may estimate the fluidity of blood before and after bathing and during bathing.

Although it has been described that the electronic device 1 measures the pulse wave in the above-described embodiment, the pulse wave does not necessarily have to be measured by the electronic device 1. For example, the electronic device 1 may be connected to an information processing device such as a computer or a mobile phone by wire or wirelessly, and may transmit the angular velocity information acquired by the sensor 50 to the information processing device. In this case, the information processing device may measure the pulse wave based on the information of the angular velocity. The information processing apparatus may execute estimation processing of glucose metabolism and lipid metabolism. When the information processing device connected to the electronic device 1 executes various information processing, the electronic device 1 may not include the control unit 52, the storage unit 54, the notification unit 20, and the like. Further, when the electronic device 1 is connected to the information processing device by wire, the electronic device 1 does not have the battery 60 and may be supplied with electric power from the information processing device.

Further, in the above-described embodiment, an example in which the electronic device 1 is composed of a square-shaped lower housing 11 and an upper housing 12 has been described. However, the shape of the housing of the electronic device 1 does not have to be square. For example, in one embodiment, the electronic device 1 may be composed of a lower housing 11 and an upper housing 12, such as a disk type or a triangular type. In one embodiment, the electronic device 1 may have various configurations such that the sensor 50 is pressed toward the test site side via the elastic member 70.

Further, the pressing portion 16 provided in the upper housing 12 of the electronic device 1 may also have various configurations. For example, as in the electronic device 2 shown in FIG. 15, a knob-shaped pressing portion 16'may be provided. According to the pressing portion 16'shaped as shown in FIG. 15, for example, when the subject positions the electronic device 1 with respect to the inspection portion at the start of measurement, the subject receives the pressing portion 16'with his / her thumb and index finger. The convex part can be picked and held. After positioning the electronic device 1, the subject may maintain the state in which the convex portion of the pressing portion 16'is pinched by the thumb and the index finger, or may press the concave portion of the pressing portion 16'.

Further, the control unit 52 of the electronic device 1 may estimate at least one of the glycolipid metabolism, the blood glucose level, and the lipid level from the index of the pulse wave. Further, the electronic device 1 may function as a diet monitor for monitoring the progress of the subject's diet or a glucose meter for monitoring the blood glucose level of the subject.

Here, a modification of the electronic device according to the above-described embodiment will be further described. FIG. 16 is a diagram showing a cross section of a modified example of the electronic device according to the above-described embodiment. As shown in FIG. 16, the electronic device 3 includes a housing 12'and a housing 11' that are combined with each other. In the electronic device 3, when the housing 12'is pressed against the housing 11', the elastic member 70 is distorted and the protrusion 12'a comes into contact with the housing 11'. Then, the housing 11'rotates with the protrusion 12'a as a fulcrum. That is, in the electronic device 3, the protrusion 12'a acting as a predetermined rotation axis is near the end of the upper housing 12'provided with the pressing portion 16, and is the end of the lower housing 11'including the sensor 50. It is in the vicinity.

1,2,3 Electronic equipment 11,11'Lower housing 12,12'Upper housing 12'a Protrusion 14 Pulse contact part 16 Pressing part 20 Notification part 30 Switch 40 Board 42 Battery holder 50 Sensor 52 Control part 54 Storage part 56 Communication unit 60 Battery 70 Elastic member 150 Mobile terminal 151 Server

Claims (2)

A step in which the sensor detects pulsation at the subject's site,
A step of synthesizing only a result of the sensor detecting as a rotational motion of at least two axes having a component of a predetermined threshold value or more by the control unit.
The step that the control unit calculates the index of the pulse wave based on the pulsation from the synthesis result,
Measurement method including. A sensor that detects the displacement of the subject and
A server connected to the sensor via a network,
It is a system equipped with
The server detects the pulsation in the test site of the subject from the displacement detected by the sensor, and has a component of a predetermined threshold value or more among the results detected by the sensor as at least biaxial rotational motion. A system that synthesizes only things and calculates an index of pulse wave based on pulsation from the synthesis result.

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