JP6745696B2 - Electronic device, program and control method - Google Patents

Description

The present disclosure relates to an electronic device that measures biological information, a program, and a control method.

2. Description of the Related Art Conventionally, there is known an electronic device that measures biological information from a test site such as a wrist of a test subject. For example, Patent Document 1 describes an electronic device that measures the pulse of the subject when the subject wears the wrist.

JP, 2002-360530, A

However, when measuring a pulse with a conventional electronic device, it is necessary to wear the electronic device on the wrist. The wearing of the electronic device may be complicated for the subject.

An object of the present disclosure made in view of such circumstances is to provide an electronic device, a program, and a control method that can reduce complexity.

The electronic device of one aspect includes a sensor and a control unit. The sensor detects a motion factor of the electronic device. The control unit measures biometric information based on the motion factor detected by the sensor in a state where the contact portion is fixed to the electronic device and is in contact with the test site.

A program of one mode makes an electronic device perform a detecting step and a measuring step. The detecting step detects a motion factor of the electronic device. In the measuring step, biological information is measured based on the motion factor detected in a state where the contact portion is fixed to the electronic device and is in contact with the test site.

A control method according to one aspect is a control method executed by an electronic device, and includes a detecting step and a measuring step. The detecting step detects a motion factor of the electronic device. In the measuring step, biological information is measured based on the motion factor detected in a state where the contact portion is fixed to the electronic device and is in contact with the test site.

The electronic device, the program, and the control method according to the present disclosure can reduce complexity.

FIG. 3 is a schematic perspective view showing an external appearance of an electronic device according to an embodiment of the present disclosure. It is a schematic front view which shows the external appearance of the electronic device of FIG. It is a schematic rear view which shows the external appearance of the electronic device of FIG. It is a functional block diagram which shows schematic structure of the electronic device of FIG. It is a figure which shows an example of the acquisition aspect of the motion factor by the electronic device of FIG. It is a figure which shows an example of the contact state of a to-be-tested part and a contact part. It is a figure which shows the example of the shape of a contact part. FIG. 3 is a schematic diagram for explaining a pulse wave measurement process by the electronic device of FIG. 1. It is a flowchart which shows the procedure of the measurement process of the pulse wave by the electronic device of FIG. It is a figure which shows an example of the pulse wave acquired by the sensor. It is a figure which shows the time change of calculated AI. It is a figure which shows the measured result of calculated AI and blood glucose level. It is a figure which shows the calculated AI and the relationship of a blood glucose level. It is a figure which shows the measured result of calculated AI and a neutral fat value. It is a flow figure showing the procedure of estimating the fluidity of blood, and the state of sugar metabolism and lipid metabolism. FIG. 1 is a schematic diagram showing a schematic configuration of a system according to an embodiment of the present disclosure. It is a figure which shows an example at the time of a contact part being fixed to the holder of an electronic device. It is a figure which shows an example of the electronic device which has a storage structure. It is a figure which shows an example of the electronic device which has a storage structure. It is a figure which shows an example of the electronic device which has a structure which can adjust a fixed position.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings.

FIG. 1 is a schematic perspective view showing an appearance of an electronic device 100 according to an embodiment. FIG. 2 is a schematic front view showing the appearance of electronic device 100. FIG. 3 is a schematic rear view showing the appearance of electronic device 100. The electronic device 100 according to the embodiment is configured by a mobile phone such as a smartphone as illustrated in FIGS. 1 to 3, for example. However, the electronic device 100 is not limited to the mobile phone, and may be configured by any other electronic device.

The electronic device 100 measures biometric information at a test site of a test subject. The region to be examined may be, for example, the wrist of the subject. The electronic device 100 measures biological information in a blood vessel of the wrist, which is a test site. For example, the electronic device 100 may measure biological information in at least one of the radial artery and the ulnar artery of the subject.

The biological information measured by the electronic device 100 includes, for example, at least one of a blood component, a pulse wave, a pulse, and a pulse wave propagation velocity. Blood components include, for example, states of glucose metabolism and states of lipid metabolism. The state of glucose metabolism includes, for example, blood glucose level. The state of lipid metabolism includes, for example, the lipid level. The lipid level includes neutral fat, total cholesterol, HDL (High Density Lipoprotein) cholesterol, LDL (Low Density Lipoprotein) cholesterol and the like. The electronic device 100 acquires, for example, the pulse wave of the subject as biometric information, and measures biometric information such as blood components based on the acquired pulse wave.

As shown in FIGS. 1 to 3, the electronic device 100 includes a housing 101 having an outer shape of a substantially rectangular shape. The electronic device 100 includes a touch screen display 102, buttons 103A to 103C, an illuminance sensor 104, a proximity sensor 105, a receiver 106, a microphone 107, and a first camera 108 on the front surface 101A side. Further, the electronic device 100 includes a second camera 109, a contact portion 110, and a support portion 120 on the back surface 101B side. The electronic device 100 includes buttons 103E and 103F on the side surface 101C.

The touch screen display 102 has a display 102A and a touch screen 102B. The display 102A includes a display device such as a liquid crystal display (Liquid Crystal Display), an organic EL (Organic Electro-Luminescence Panel), or an inorganic EL panel (Inorganic Electro-Luminescence panel). The display 102A displays characters, images, symbols, figures, or the like.

The touch screen 102B detects contact with the touch screen 102B such as a finger or a stylus pen. The touch screen 102B can detect a position where a plurality of fingers, a stylus pen, or the like touches the touch screen 102B.

The detection method of the touch screen 102B may be any method such as a capacitance method, a resistance film method, a surface acoustic wave method (or an ultrasonic wave method), an infrared method, an electromagnetic induction method, and a load detection method. The capacitance method can detect contact and approach of a finger, a stylus pen, or the like.

The electronic device 100 has various types of touch and flick based on the contact detected by the touch screen 102B, the position where the contact is made, the time when the contact is made, and the change over time of the position where the contact is made. It is possible to determine the type of gesture. The electronic device 100 performs an operation according to the gesture determined through the touch screen 102B. The operation performed by the electronic device 100 in accordance with the determined gesture differs depending on, for example, the screen displayed on the touch screen display 102.

The buttons 103A to 103C include a home button, a back button, or a menu button. In one embodiment, touch-sensitive buttons may be used as the buttons 103A to 103C. Buttons 103E and 103F include volume buttons.

The illuminance sensor 104 detects illuminance. The illuminance is, for example, light intensity, brightness, brightness, or the like. The illuminance sensor 104 is used, for example, to adjust the brightness of the display 102A.

The proximity sensor 105 detects the presence of a nearby object in a non-contact manner. The proximity sensor 105 detects, for example, that a face is brought close to the touch screen display 102.

The receiver 106 includes a voice output unit that converts an electric signal into voice and outputs the voice, for example, during a call using the electronic device 100.

The microphone 107 includes a voice input unit that converts a voice uttered by a user into an electric signal during a call using the electronic device 100 or a voice recording, for example.

The first camera 108 includes a so-called in-camera for photographing an object facing the front surface 101A side. The second camera 109 includes a so-called out camera for photographing an object facing the back surface 101B side.

The contact portion 110 and the support portion 120 include members protruding from the back surface 101B. The contact portion 110 and the support portion 120 are fixed to the electronic device 100 on the back surface 101B. At least one of the contact portion 110 and the support portion 120 may be, for example, non-detachably provided to the electronic device 100. At least one of the contact portion 110 and the support portion 120 may be configured to be attachable to and detachable from the electronic device 100, for example. In this case, the subject attaches the contact portion 110 and the support portion 120 to the electronic device 100 when measuring the biological information using the electronic device 100, and if the biological information is not measured, the contact portion The 110 and the support 120 may be removed from the electronic device 100.

The contact portion 110 and the support portion 120 are fixed on the back surface 101B so as to linearly extend along the short side direction of the back surface 101B. The length of the contact portion 110 and the support portion 120 in the short side direction of the back surface 101B may be shorter than the length of the short side of the back surface 101B, for example. Further, the relationship of the length of the contact portion 110 and the support portion 120 in the short side direction of the back surface 101B can be appropriately determined. For example, the length of the contact portion 110 in the short side direction on the back surface 101B may be shorter or longer than the length of the support portion 120 in the short side direction on the back surface 101B. Further, the length of the contact portion 110 in the short side direction on the back surface 101B and the length of the support portion 120 in the short side direction on the back surface 101B may be equal.

The contact part 110 contacts the test site when the biological information is measured by the electronic device 100. That is, the contact portion 110 contacts the portion facing the radial artery or the ulnar artery, for example, in the wrist when measuring the biological information.

The support portion 120 contacts the subject at a position different from the contact portion 110 when the biological information is measured by the electronic device 100. The support part 120 contacts the wrist of the subject at a position different from the contact part 110, for example. The support part 120 supports the contact state of the contact part 110 with respect to the test site by contacting the subject. The electronic device 100 may include a plurality of supporting parts 120. The plurality of support parts 120 are arranged linearly, for example. Details of the contact mode of the contact part 110 and the support part 120 to the test site will be described later.

FIG. 4 is a functional block diagram showing a schematic configuration of the electronic device 100 of FIG. As shown in FIG. 4, the electronic device 100 includes a touch screen display 102, an illuminance sensor 104, a proximity sensor 105, a receiver 106, a microphone 107, a first camera 108, a second camera 109, and a sensor 130. The control unit 140, the power supply unit 141, the storage unit 142, the communication unit 143, and the notification unit 144. In the present embodiment, the sensor 130, the control unit 140, the power supply unit 141, the storage unit 142, the communication unit 143, and the notification unit 144 are included inside the housing 101.

The sensor 130 detects the displacement of the electronic device 100 as a motion factor. The sensor 130 is, for example, an angular velocity sensor. However, the sensor 130 is not limited to the angular velocity sensor. The sensor 130 should just be able to detect the angular displacement of the electronic device 100 which is a motion factor. The electronic device 100 may include, for example, an acceleration sensor, an angle sensor, or another motion sensor instead of the angular velocity sensor. Further, the electronic device 100 may include a plurality of types of the sensors shown here. The motion factor may include at least one of acceleration and angular velocity acquired by the sensor 130.

The control unit 140 includes a processor that controls and manages the entire electronic device 100, including each functional block of the electronic device 100. The control unit 140 includes a processor such as a CPU (Central Processing Unit) that executes a program that defines a control procedure and a program that measures biological information of a subject. Such a program is stored in a storage medium such as the storage unit 142, for example.

The control unit 140 acquires a motion factor from the sensor 130, which is an angular velocity sensor. The motion factor includes an index indicating the operation of electronic device 100 based on the pulsation in the region to be examined. The control unit 140 generates the pulsation of the subject based on the motion factor. The control unit 140 measures biological information based on the pulsation of the subject. The control unit 140 may notify the data from the notification unit 144. Details of the biometric information measurement processing by the control unit 140 will be described later.

The power supply unit 141 includes, for example, a lithium-ion battery and a control circuit for charging and discharging the lithium-ion battery, and supplies electric power to the entire electronic device 100.

The storage unit 142 stores programs and data. The storage unit 142 may include any non-transitory storage medium such as a semiconductor storage medium and a magnetic storage medium. The storage unit 142 may include a plurality of types of storage media. The storage unit 142 may include a combination of a portable storage medium such as a memory card, an optical disc, or a magneto-optical disc, and a reading device for the storage medium. The storage unit 142 may include a storage device used as a temporary storage area such as a RAM (Random Access Memory). The storage unit 142 stores various kinds of information and programs for operating the electronic device 100, and also functions as a work memory. The storage unit 142 may store, for example, a measurement result of biological information.

The communication unit 143 performs various data transmission/reception by performing wired communication or wireless communication with an external device. The communication unit 143 communicates with, for example, an external device that stores the biometric information of the subject to manage the health condition, and transmits the measurement result of the biometric information measured by the electronic device 100 to the external device. ..

The notification unit 144 notifies information by sound, vibration, or the like. The notification unit 144 may include a speaker, a vibrator, and the like. Further, the touch screen display 102 may function as a notification unit that notifies information by displaying an image.

Next, details of the biometric information measurement process performed by the electronic device 100 will be described. The electronic device 100 acquires a motion factor in a state where the contact part 110 fixed to the electronic device 100 is in contact with the site to be inspected, and measures biological information based on the acquired motion factor. The electronic device 100 may acquire the motion factor in a state in which the support 120 fixed to the electronic device 100 is in contact with the subject at a position different from the test site.

When measuring the biometric information, the electronic device 100 is brought into a state in which the biometric information measurement process is possible based on, for example, an input operation by the subject. The state in which the biometric information measurement process is possible refers to, for example, a state in which an application for measuring biometric information is activated. The subject makes the biological information measurement process possible and starts the acquisition of the motion factor by the electronic device 100.

FIG. 5 is a diagram illustrating an example of a motion factor acquisition mode by the electronic device 100. As shown in FIG. 5 as an example, the subject places the arm on a table such as a desk and leans the electronic device 100 on the arm so that the electronic device 100 acquires the motion factor. At this time, as shown in FIG. 6, when the electronic device 100 is in contact with the arm in a side view, the contact portion 110 contacts the test site. The test site may be, for example, a position on the skin where blood vessels of the wrist exist. The test site may be, for example, a position on the skin where the radial artery or the ulnar artery exists. That is, the contact portion 110 may contact a position on the skin facing the radial artery or the ulnar artery. Further, as shown in FIG. 6, when the electronic device 100 acquires the motion factor, the support part 120 contacts the wrist of the subject at a position different from the contact part 110.

When the electronic device 100 is brought into contact with the wrist as shown in FIGS. 5 and 6, the electronic device 100 is displaced according to the movement of expansion and contraction of the blood vessel based on the pulsation of the subject. The electronic device 100 is displaced such that the upper end 100A side that is not in contact with the base is rotated in a side view, as indicated by an arrow in FIG. 6, with the supporting portion 120 that is in contact with the wrist as a fulcrum. The sensor 130 included in the electronic device 100 acquires the pulse wave of the subject by detecting the displacement of the electronic device 100. A pulse wave is a waveform in which the volume-time change of a blood vessel caused by the inflow of blood is captured as a waveform from the body surface.

When acquiring the motion factor, the subject may bring the electronic device 100 into contact with the subject site so as not to interfere with the movement of the blood vessel. For example, the subject may adjust the angle between the electronic device 100 and the table so that the movement of the blood vessel is not hindered by the load of the electronic device 100.

The contact portion 110 may have any shape that enables the movement of the blood vessel by the electronic device 100 to be acquired. FIG. 7 is a diagram showing an example of the shape of the contact portion 110. FIG. 7 shows an example of a cross section of the arm of the subject in a side view of the electronic device 100 and an abutting portion 110 that abuts on the examined site.

In the contact portion 110, as shown in FIG. 7A, for example, the contact surface 110a that contacts the test site may have a planar shape. At least a part of the contact portion 110 may have a shape corresponding to the shape of the blood vessel, as shown in FIGS. 7B and 7C, for example. The shape corresponding to the shape of the blood vessel means a shape adapted to the shape of the blood vessel.

In the example shown in FIG. 7B, the contact surface 110a that contacts the test site has a tapered shape according to the shape of the blood vessel in a side view. When the contact surface 110a has a tapered shape, the subject brings the tapered portion of the contact surface 110a into contact with the test site and causes the electronic device 100 to acquire the motion factor.

In the example illustrated in FIG. 7C, the contact surface 110a that contacts the inspected portion has a shape having a depression corresponding to the shape of the blood vessel in a side view. When the contact surface 110a has a dent, the subject brings the test part into contact with the dent of the contact surface 110a, and causes the electronic device 100 to acquire the motion factor. The shape of the contact surface 110a is not limited to the example shown here.

Since the contact portion 110 has a shape corresponding to the shape of the blood vessel on the contact surface 110a, the positional relationship between the contact portion 110 and the blood vessel can be easily determined, so that the subject can properly set the contact portion 110. It becomes easy to make contact with the test site. In addition, since the contact portion 110 has a shape corresponding to the shape of the blood vessel on the contact surface 110a, the positional relationship between the contact portion 110 and the blood vessel is easily determined, so that the electronic device 100 performs a motion based on the movement of the blood vessel. It becomes easier to obtain the factor more accurately. Further, since the contact portion 110 has the shape corresponding to the shape of the blood vessel on the contact surface 110a, the shape of the blood vessel is less likely to be deformed by the external force applied from the contact surface 110a when measuring the biological information.

At least a part of the contact portion 110 may have a shape corresponding to the shape of the site to be examined. The shape corresponding to the shape of the test site means a shape adapted to the shape of the test site such as a wrist. In this case, the positional relationship between the contact portion 110 and the test region is easily determined, and thus the subject can easily contact the contact portion 110 with an appropriate test region.

The electronic device 100 performs the pulse wave measurement process in a state where the contact portion 110 is in contact with the test site. FIG. 8 is a schematic diagram for explaining the pulse wave measurement process performed by the electronic device 100. FIG. 9 is a flowchart showing the procedure of the pulse wave measurement process performed by electronic device 100. In FIG. 8, the horizontal axis represents time, and the vertical axis schematically represents the output (rad/sec) of the angular velocity sensor that is the sensor 130 based on the pulse wave. In FIG. 8, the output of the angular velocity sensor shows only the peak of each pulse wave.

It is assumed that the subject has performed a predetermined input operation for starting the pulse wave measurement process on electronic device 100 at time t ₀ . That is, it is assumed that the electronic device 100 is in a state in which the biological information measurement process is possible at time t ₀ and starts the pulse wave measurement process. The subject, after performing a predetermined input operation for starting the pulse wave measurement process, brings the contact portion 110 into contact with the test site, as shown in FIG.

In the electronic device 100, when the control unit 140 starts the pulse wave measurement process, the control unit 140 detects the output of the sensor 130 according to the pulsation of the blood vessel of the subject. During a predetermined period immediately after the start of measurement (from time t ₀ to time t ₁ in FIG. 8), the output of the sensor 130 is stabilized by adjusting the position where the subject contacts the contact portion 110 with the test site. do not do. The pulse wave cannot be acquired accurately during this period. Therefore, electronic device 100 does not have to use the pulse wave measured during this period for measuring the blood component, which is biological information, for example. The electronic device 100 may not store the pulse wave measured during this period in the storage unit 142, for example.

After starting the pulse wave measurement process, the control unit 140 determines whether or not a stable pulse wave has been detected continuously a predetermined number of times (step S101 in FIG. 9). The predetermined number of times is four in the example shown in FIG. 8, but is not limited to this. Further, the stable pulse wave refers to a pulse wave in which, for example, variation in peak output of each pulse wave and/or variation in interval between peaks of each pulse wave are within a predetermined error range. The predetermined error range in the interval between peaks is, for example, ±150 msec, but is not limited to this. In the example illustrated in FIG. 8, an example in which the control unit 140 detects a pulse wave in which the variation in the interval between the peaks of each pulse wave is within ±150 msec for four consecutive times from time t ₁ to time t _2. Showing.

When the control unit 140 determines that a stable pulse wave has been continuously detected a predetermined number of times after the start of the pulse wave measurement process (Yes in step S101 in FIG. 9), the control unit 140 starts acquiring the pulse wave (step S102). .. That is, the control unit 140 acquires the pulse wave used to measure the blood component. The pulse wave acquisition start time is, for example, time t ₃ in FIG. 8. The control unit 140 may store the pulse wave thus acquired in the storage unit 142. Since the electronic device 100 starts acquiring the pulse wave when it is determined that the stable pulse wave is continuously detected a predetermined number of times in this way, when the subject is not actually in contact with the electronic device 100. It becomes easy to prevent erroneous detection in the case of

After starting the acquisition of the pulse wave, the control unit 140 ends the acquisition of the pulse wave when the end condition of the acquisition of the pulse wave is satisfied. The termination condition may be, for example, a case where a predetermined time has elapsed after the acquisition of the pulse wave was started. The termination condition may be, for example, the case where a pulse wave corresponding to a predetermined pulse rate is acquired. The termination condition is not limited to this, and other conditions may be set as appropriate. In the example shown in FIG. 8, the control unit 140 from the time t ₃ a predetermined time (e.g. 8 seconds or 15 seconds) to end the acquisition of the pulse wave at the time t ₄ after the passage. As a result, the flow shown in FIG. 9 ends.

When the control unit 140 determines that a stable pulse wave has not been continuously detected a predetermined number of times after the start of the pulse wave measurement process (No in step S101 in FIG. 9 ), it starts the pulse wave measurement process. It is determined whether or not a predetermined time has passed since a predetermined input operation for performing the operation (step S103).

When the control unit 140 determines that the predetermined time (for example, 30 seconds) has not elapsed after performing the predetermined input operation for starting the pulse wave measurement process (No in step S103), the flow illustrated in FIG. Control goes to step S101.

On the other hand, when the control unit 140 cannot detect a stable pulse wave even after a predetermined time elapses after performing a predetermined input operation for starting the pulse wave measurement process (Yes in step S103), the control unit 140 automatically measures the pulse wave. The process is ended (timed out), and the flow of FIG. 9 is ended.

FIG. 10 is a diagram showing an example of the pulse wave acquired at the site to be examined (wrist) using the electronic device 100. FIG. 10 shows the case where the sensor 130 is used as a pulsation detecting means. FIG. 10 is an integration of the angular velocities acquired by the angular velocity sensor that is the sensor 130. In FIG. 10, the horizontal axis represents time and the vertical axis represents angle. Since the acquired pulse wave may include noise caused by the body movement of the subject, for example, the pulse wave may be extracted by performing correction using a filter that removes a DC (Direct Current) component.

The electronic device 100 calculates an index based on the pulse wave from the acquired pulse wave, and measures the blood component using the index based on the pulse wave. A method of calculating an index based on the pulse wave from the acquired pulse wave will be described with reference to FIG. Pulse wave propagation is a phenomenon in which the pulsation of blood extruded from the heart travels through the walls of arteries and blood. The pulsation due to the blood pushed out from the heart reaches the periphery of the limb as a forward wave, and a part of it is reflected at the bifurcation of the blood vessel, the portion where the blood vessel diameter changes, etc. and returns as a reflected wave. The pulse wave-based index is, 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 of the pulse wave and the reflected wave, and the forward movement of the pulse wave. It is an AI (Augmentation Index) or the like, which is represented by the ratio of the magnitude of the wave and the reflected wave.

The pulse wave shown in FIG. 10 is a user's pulse for n times, and n is an integer of 1 or more. The pulse wave is a composite wave in which a forward wave generated by ejection of blood from the heart and a reflected wave generated from a blood vessel branch or a portion where the blood vessel diameter changes are overlapped. In FIG. 10, P _Fn is the peak size of the pulse wave by the forward wave for each pulse, P _Rn is the peak size of the pulse wave by the reflected wave for each pulse, and P _Sn is the minimum value of the pulse wave for each pulse. is there. Further, in FIG. 10, T _PR is the pulse peak interval.

The pulse wave-based index includes quantified information obtained from the pulse wave. For example, PWV, which is one of the indices based on pulse waves, is calculated based on the pulse wave propagation time difference measured at two test sites, such as the upper arm and ankle, and the distance between the two points. Specifically, the PWV acquires the pulse waves at two points of the artery (for example, the upper arm and the ankle) in synchronization, and divides the distance difference (L) between the two points by the time difference (PTT) between the two points. Is calculated. For example, for the magnitude P _R of the reflected wave, which is one of the indices based on the pulse wave, the magnitude P _Rn of the peak of the pulse wave due to the reflected wave may be calculated, or P _Rave obtained by averaging n times is calculated. It may be calculated. For example, the time difference Δt between the forward wave and the reflected wave of the pulse wave, which is one of the indices based on the pulse wave, may be calculated as the time difference Δt _n at a predetermined pulse, or Δt obtained by averaging the time difference for n times. You may calculate _ave . For example, AI is an index based on the pulse wave is obtained by dividing the magnitude of the reflected wave by the size of the forward _{wave, AI n = (P Rn -P} Sn) / (P Fn -P Sn ). AI _n is the AI for each pulse. For AI, for example, a pulse wave may be measured for several seconds, and an average value AI _ave of AI _n (n=1 to n) may be calculated for each pulse to be used as an index based on the pulse wave.

Since the pulse wave velocity PWV, the magnitude P _{R of} the reflected wave, the time difference Δt between the forward wave and the reflected wave, and AI change depending on the hardness of the blood vessel wall, they should be used to estimate the state of arteriosclerosis. You can For example, if the blood vessel wall is hard, the pulse wave velocity PWV increases. For example, if the blood vessel wall is hard, the magnitude P _R of the reflected wave increases. 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. Furthermore, the electronic device 100 can estimate the arteriosclerosis state and the fluidity (viscosity) of blood using the indices based on these pulse waves. In particular, the electronic device 100 uses the same fluidity of blood from the change of the index based on the pulse wave acquired during the same test site of the same subject and the period in which the arteriosclerosis state does not substantially change (for example, within several days). Can be estimated. Here, the fluidity of blood indicates the ease of blood flow. For example, when the fluidity of blood is low, the pulse wave velocity PWV becomes small. For example, when the fluidity of blood is low, the magnitude PR of the reflected wave is small. For example, when the fluidity of blood is low, the time difference Δt between the forward wave and the reflected wave becomes large. For example, if the fluidity of blood is low, the AI will be small.

In one embodiment, as an example of the index based on the pulse wave, the electronic device 100 calculates the pulse wave velocity PWV, the magnitude P _{R of} the reflected wave, the time difference Δt between the forward wave and the reflected wave, and AI. Although shown, the pulse wave-based index is not limited to this. For example, the electronic device 100 may use the backward systolic blood pressure as the index based on the pulse wave.

FIG. 11 is a diagram showing the time variation of the calculated AI. In one embodiment, the pulse wave was acquired using the electronic device 100 equipped with an angular velocity sensor for about 5 seconds. The control unit 140 calculates the AI for each pulse from the acquired pulse wave, and further calculates the average value AI _{ave of} these. In one embodiment, the electronic device 100 acquires a pulse wave 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 wave. .. The horizontal axis of FIG. 11 shows the passage of time, with the first measurement time after meal as 0. The vertical axis of FIG. 11 indicates the AI calculated from the pulse wave acquired at that time.

The electronic device 100 acquires pulse waves before meals, immediately after meals, and every 30 minutes after meals, and calculates a plurality of AIs based on the respective pulse waves. The AI calculated from the pulse wave 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. The AI gradually increased until the measurement was completed 3 hours after the meal.

The electronic device 100 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 the blood are solidified into a dumpling or the adhesive strength is increased, the fluidity of the blood is lowered. For example, the lower the water content of plasma in blood, the lower the fluidity of blood. These changes in blood fluidity change depending on, for example, the glycolipid state described later and the health condition 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 100 according to the embodiment. From the change in AI before and after the meal shown in FIG. 11, the fluidity of the blood became low after the meal, and the fluidity of the blood became the lowest about 1 hour after the meal, and the blood flow gradually decreased thereafter. It can be estimated that the liquidity has increased. The electronic device 100 may express the state in which the fluidity of the blood is low as “dull” and the state in which the fluidity of the blood is high as “smooth” to notify. For example, the electronic device 100 may perform the determination of “muscular” or “smooth” based on the average value of the AIs of the subject's actual age. The electronic device 100 may determine “smooth” when the calculated AI is larger than the average value, and “muddy” when the calculated AI is smaller than the average value. The electronic device 100 may, for example, make the determination of “dull” or “dry” based on the AI before the meal. The electronic device 100 may compare the AI after the meal with the AI before the meal to estimate the “muscular” degree. The electronic device 100 can be used, for example, as AI before meal, that is, AI during fasting, as an index of the blood vessel age (hardness of blood vessel) of the subject. If the electronic device 100 calculates the change amount of the calculated AI based on, for example, the AI before meal of the subject, that is, the AI during fasting, the electronic device 100 estimates the blood vessel age (hardness of blood vessel) of the subject. The error can be reduced. The electronic device 100 can more accurately estimate the change in blood fluidity.

FIG. 12 is a diagram showing the measurement results of the calculated AI and blood glucose level. The pulse wave acquisition method and the AI calculation method are the same as those in the embodiment shown in FIG. The vertical axis on the right side of FIG. 12 represents the blood glucose level in blood, and the vertical axis on the left side represents the calculated AI. The solid line in FIG. 12 indicates the AI calculated from the acquired pulse wave, and the dotted line indicates the measured blood glucose level. Blood glucose levels were measured immediately after pulse wave acquisition. The blood glucose level was measured using a blood glucose meter "Medisafefit" manufactured by Terumo. The blood glucose level immediately after the meal is increased by about 20 mg/dl as compared with the blood glucose level before the meal. About one hour after eating, the blood sugar level reached its maximum value. After that, the blood glucose level gradually decreased until the measurement was completed, and became approximately the same as the blood glucose level before the meal about 3 hours after the meal.

As shown in FIG. 12, the blood glucose level after the pre-meal meal has a negative correlation with the AI calculated from the pulse wave. When the blood glucose level becomes high, erythrocytes and platelets solidify into a dumpling or have a strong adhesive force due to sugar in the blood, and as a result, the fluidity of the blood may become low. If the fluidity of blood is low, the pulse wave velocity PWV may be low. When the pulse wave velocity PWV decreases, the time difference Δt between the forward wave and the reflected wave may increase. When the time difference Δt between the forward wave and the reflected wave increases, the magnitude PR of the reflected wave may decrease with respect to the magnitude PF of the forward wave. When the magnitude P _{R of the} reflected wave becomes smaller than the magnitude P _F of the forward wave, AI may become smaller. Since the AI within a few hours (three hours in one embodiment) after a meal has a correlation with the blood glucose level, it is possible to estimate the variation of the blood glucose level of the subject by the fluctuation of the AI. If the blood glucose level of the subject is measured in advance and the correlation with AI is acquired in advance, electronic device 100 can estimate the blood glucose level of the subject from the calculated AI.

The electronic device 100 can estimate the glucose metabolism state of the subject based on the occurrence time of AI _P , which is the minimum extreme value of AI that is first detected after eating. The electronic device 100 estimates, for example, a blood glucose level as the state of glucose metabolism. As an example of estimating the state of glucose metabolism, when the minimum extreme value AI _{P of} AI that is first detected after eating is detected after a predetermined time or more (for example, about 1.5 hours or more after eating), electronic device 100 , It can be estimated that the subject has abnormal glucose metabolism (diabetes patient).

Based on the difference (AI _B −AI _P ) between AI _B that is the AI before the meal and AI _P that is the minimum extreme value of the AI that is first detected after the meal, the electronic device 100 determines that the glucose metabolism of the subject is high. The state of can be estimated. As an example of estimating 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 abnormal glucose metabolism (postprandial hyperglycemia patient).

FIG. 13 is a diagram showing the relationship between the calculated AI and the blood glucose level. The calculated AI and blood glucose level are obtained within one hour after a meal in which the blood glucose level varies greatly. The data in FIG. 13 includes data after different meals in the same subject. As shown in FIG. 13, 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. For example, if the correlation between the calculated AI and the blood glucose level as shown in FIG. 13 is acquired in advance for each subject, the electronic device 100 can also estimate the blood glucose level of the subject from the calculated AI. ..

FIG. 14 is a diagram showing the measurement results of the calculated AI and neutral fat value. The pulse wave acquisition method and the AI calculation method are the same as those in the embodiment shown in FIG. The vertical axis on the right side of FIG. 14 represents the neutral fat value in blood, and the vertical axis on the left side represents AI. The solid line in FIG. 14 shows the AI calculated from the acquired pulse wave, and the dotted line shows the measured neutral fat value. The triglyceride level was measured immediately after the pulse wave was acquired. The neutral fat value was measured using a lipid measuring device "Pocket Lipid" manufactured by Technomedica. The maximum extreme value of the neutral fat value after the meal is increased by about 30 mg/dl as compared with the neutral fat value before the meal. About 2 hours after eating, neutral fat reached its maximum value. After that, until the measurement was completed, the triglyceride level gradually decreased, and became approximately the same as the pre-meal triglyceride level about 3.5 hours after the meal.

On the other hand, as for the calculated minimum extreme value of AI, the first minimum extreme value AI _P1 was detected about 30 minutes after the meal, and the second minimum extreme value AI _P2 was detected about 2 hours after the meal. .. It can be estimated that the first minimum extreme value AI _P1 detected about 30 minutes after meal is due to the influence of the blood glucose level after meal described above. The second minimum extremum AI _P2 detected about 2 hours after the meal is almost in agreement with the maximum extremum of neutral fat detected about 2 hours after the meal. From this, it can be estimated that the second minimum extreme value AI _P2 detected after a predetermined time from the meal is due to the influence of neutral fat. It was found that the level of triglyceride after the meal was negatively correlated with the AI calculated from the pulse wave, like the blood glucose level. Particularly, since the minimum extreme value AI _{P2 of} AI detected after a predetermined time (after about 1.5 hours in one embodiment) from a meal has a correlation with the neutral fat value, the subject may be changed due to the fluctuation of AI. Fluctuations in triglyceride levels can be estimated. If the neutral fat value of the subject is measured in advance and the correlation with AI is acquired, the electronic device 100 can estimate the neutral fat value of the subject from the calculated AI. ..

The electronic device 100 can estimate the lipid metabolism state of the subject based on the generation time of the second minimum extreme value AI _P2 detected after a predetermined time after eating. The electronic device 100 estimates, for example, a lipid value as the state of lipid metabolism. As an estimation example of the state of lipid metabolism, for example, when the second minimum extreme value AI _P2 is detected after a predetermined time or more (for example, 4 hours or more) after eating, the electronic device 100 indicates that the subject has abnormal lipid metabolism. (Hyperlipidemia patient).

Based on the difference (AI _B −AI _P2 ) between AI _B , which is the AI before the meal, and the second minimum extreme value AI _P2 detected after the predetermined time after the meal, the electronic device 100 determines that the lipid of the subject is The state of metabolism can be estimated. As an example of estimating lipid metabolism abnormality, for example, when (AI _B −AI _P2 ) is 0.5 or more, the electronic device 100 can estimate that the subject is a lipid metabolism abnormality (postprandial hyperlipidemia patient).

Further, based on the measurement results shown in FIGS. 12 to 14, the electronic device 100 according to the embodiment, based on the first minimum extreme value AI _P1 detected earliest after a meal and the occurrence time thereof, The state of sugar metabolism can be estimated. Furthermore, the electronic device 100 according to the embodiment is configured to detect the lipid of the subject based on the second minimum extreme value AI _P2 detected after a predetermined time after the first minimum extreme value AI _P1 and the occurrence time thereof. The state of metabolism can be estimated.

In one embodiment, the case of neutral fat has been described as an example of estimation of lipid metabolism, but estimation of lipid metabolism is not limited to neutral fat. The lipid value estimated by the electronic device 100 includes, for example, total cholesterol, HDL cholesterol, LDL cholesterol and the like. These lipid values show the same tendency as in the case of neutral fat described above.

FIG. 15 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. The flow of estimation of the fluidity of blood and the states of glucose metabolism and lipid metabolism by the electronic device 100 according to the embodiment will be described with reference to FIG.

As shown in FIG. 15, the electronic device 100 acquires the AI reference value of the subject as an initial setting (step S201). As the AI reference value, an average AI estimated from the age of the subject may be used, or a fasting AI of the subject acquired in advance may be used. In addition, electronic device 100 may use the AI determined to be before meal in steps S202 to S208 as the AI reference value, or may use the AI calculated immediately before the pulse wave measurement as the AI reference value. In this case, the electronic device 100 executes step S201 after steps S202 to S208.

Then, the electronic device 100 acquires a pulse wave (step S202). For example, the electronic device 100 determines whether or not a pulse wave acquired for a predetermined measurement time (for example, 5 seconds) has a predetermined amplitude or more. When the acquired pulse wave has a predetermined amplitude or more, the process proceeds to step S203. If the predetermined amplitude or more is not obtained, step S202 is repeated (these steps are not shown). In step S202, for example, when the electronic device 100 detects a pulse wave having a predetermined amplitude or more, the electronic device 100 automatically acquires the pulse wave.

The electronic device 100 calculates AI as an index based on the pulse wave from the pulse wave acquired in step S202 and stores the AI in the storage unit 142 (step S203). The electronic device 100 may calculate the average value AI _ave from AI _n (integer of n=1 to _n ) for each predetermined pulse rate (for example, 3 beats), and use this as the AI. Alternatively, electronic device 100 may calculate AI in a specific pulse.

AI, for example pulse rate PR, pulse pressure (P _F -P _S), body temperature, may be corrected by the temperature of the portion to be detected. It is known that both pulse and AI and pulse pressure and AI have a negative correlation, and temperature and AI have a positive correlation. When performing the correction, the electronic device 100 calculates the pulse and the pulse pressure in addition to the AI in step S203, for example. For example, the electronic device 100 may be equipped with a temperature sensor as the sensor 130 and acquire the temperature of the detected part when acquiring the pulse wave in step S202. The electronic device 100 corrects the AI by substituting the acquired pulse, pulse pressure, temperature, and the like into the correction formula created in advance.

Subsequently, electronic device 100 compares the AI reference value acquired in step S201 with the AI calculated in step S203 to estimate the fluidity of blood of the subject (step S204). If the calculated AI is larger than the AI reference value (YES), it is estimated that the blood fluidity is high. In this case, the electronic device 100 notifies, for example, that "blood is dry" (step S205). When the calculated AI is not larger than the AI reference value (in the case of NO), the fluidity of blood is estimated to be low. In this case, the electronic device 100 notifies, for example, "blood is muddy" (step S206).

Subsequently, the electronic device 100 confirms with the subject whether or not to estimate the states of sugar metabolism and lipid metabolism (step S207). If the sugar metabolism and the lipid metabolism are not estimated in step S207 (NO), the electronic device 100 ends the process. When estimating sugar metabolism and lipid metabolism in step S207 (in the case of YES), the electronic device 100 confirms whether the calculated AI was acquired before meal or after meal (step S208). If it is not after meal (before meal) (NO), the process returns to step S202 to acquire the next pulse wave. In the case of after eating (in the case of YES), electronic device 100 stores the acquisition time of the pulse wave corresponding to the calculated AI (step S209). When the pulse wave is subsequently acquired (NO in step S210), the process returns to step S202, and the electronic device 100 acquires the next pulse wave. If the pulse wave measurement is to be ended (YES in step S210), the electronic device 100 proceeds to step S211 and subsequent steps to estimate the glucose metabolism and lipid metabolism states of the subject.

Subsequently, the electronic device 100 extracts the minimum extreme value and its time from the plurality of AIs calculated in step S204 (step S211). For example, when the AI as shown by the solid line in FIG. 14 is calculated, the electronic device 100 determines that the first minimum extreme value AI _{P1 of} about 30 minutes after meal and the second minimum extreme value of about 2 hours after meal. Extract AI _P2 .

Subsequently, the electronic device 100 estimates the glucose metabolism state of the subject from the first minimum extreme value AI _P1 and the time (step S212). Further, the electronic device 100 estimates the lipid metabolism state of the subject from the second minimum extreme value AI _P2 and the time (step S213). The estimation example of the state of glucose metabolism and lipid metabolism of the subject is the same as that in FIG.

Subsequently, electronic device 100 reports the estimation results of steps S212 and S213 (step S214), and ends the process shown in FIG. The notification unit 144 gives notification such as "sugar metabolism is normal", "sugar metabolism abnormality is suspected", "lipid metabolism is normal", and "lipid metabolism abnormality is suspected". In addition, the notification unit 144 may notify advice such as “Let's see a doctor at the hospital” and “Review your diet”. Then, electronic device 100 ends the process shown in FIG. 15.

The electronic device 100 according to the above-described embodiment can measure the biological information by contacting the contact part 110 so as to lean against the test site. Therefore, the electronic device 100 can easily start the measurement of biological information as compared with the electronic device that is worn on the wrist and measures biological information. In this way, the electronic device 100 can reduce the complexity for the subject.

Since the electronic device 100 according to the above-described embodiment can measure biological information by bringing the contact portion 110 into contact with the test site, the contact unit is irrespective of the shape of the test site (wrist) of the subject. It becomes easy to contact 110 with a test site. Therefore, according to the electronic device 100, it is possible to facilitate the measurement of biometric information and improve the measurement accuracy of biometric information.

The electronic device 100 according to the above embodiment measures biological information based on the motion factor of the electronic device 100. Therefore, the biometric information can be measured using the position where a thick blood vessel is present as compared with peripheral blood vessels such as the fingertip or the like, such as the radial artery or the ulnar artery, as the test site. Since peripheral blood vessels are easily affected by the external environment such as a change in temperature, an error is likely to occur in the measurement result of biological information. On the other hand, the radial artery, the ulnar artery, and the like are less likely to be affected by the external environment and the measurement result of the biological information is likely to be stable, so that the measurement accuracy of the biological information is improved.

The electronic device 100 according to the above-described embodiment can estimate the blood fluidity of the subject and the state of glucose metabolism and lipid metabolism from the index based on the pulse wave. Therefore, the electronic device 100 can estimate the fluidity of blood and the states of glucose metabolism and lipid metabolism of the subject in a non-invasive manner in a short time.

The electronic device 100 according to the above-described embodiment can estimate the sugar metabolism state and the lipid metabolism state from the extreme value of the index based on the pulse wave and the time. Therefore, the electronic device 100 can estimate the state of glucose metabolism and lipid metabolism of the subject in a non-invasive manner in a short time.

The electronic device 100 according to the above-described embodiment can estimate the glucose metabolism and lipid metabolism states of the subject based on, for example, an index based on the pulse wave before meals (fasting). Therefore, the electronic device 100 can accurately estimate the fluidity of blood and the states of glucose metabolism and lipid metabolism of the subject without considering the blood vessel diameter, the blood vessel hardness, and the like that do not change in the short term.

The electronic device 100 according to the above-described embodiment can estimate a blood glucose level and a lipid level of a subject in a non-invasive manner in a short time by calibrating an index based on a pulse wave and a blood glucose level and a lipid level. You can

FIG. 16 is a schematic diagram showing a schematic configuration of a system according to an embodiment of the present disclosure. The system of the embodiment shown in FIG. 16 includes an electronic device 100, a server 150 that is a measuring device, and a communication network. As shown in FIG. 16, the pulse wave acquired by the electronic device 100 is transmitted to the server 150 through the communication network and stored in the server 150 as personal information of the subject. The server 150 measures (calculates) the biometric information of the subject by comparing the past acquired information of the subject and various databases. The server 150 further creates optimum advice for the subject. The server 150 returns the measurement result and the advice to the electronic device 100. The electronic device 100 notifies the received measurement result and advice from the display unit (touch screen display 102) of the electronic device 100. By using the communication function of the electronic device 100, it is possible to collect information from a plurality of users in the server 150, so that the accuracy of measurement is further improved. Further, since the server 150 measures the biometric information, the calculation load on the control unit 140 of the electronic device 100 is reduced. Moreover, since the past acquisition information of the subject can be stored in the server 150, the load on the storage unit 142 of the electronic device 100 is reduced. The electronic device 100 can be further downsized and simplified. Moreover, the processing speed of the calculation is improved. In addition, the fluidity of the blood, the glucose metabolism, or the lipid metabolism of the subject can be measured by the system as in the measurement process by the electronic device 100.

The present invention has been described with reference to several embodiments in order to provide a complete and clear disclosure of the present invention. However, the appended claims should not be limited to the above embodiments, and all modifications and alternatives that can be made by a person skilled in the art within the scope of the basic matters shown in this specification are possible. It should be configured to embody the different configurations. Also, the requirements shown in some embodiments can be freely combined.

For example, in the above embodiment, the electronic device 100 has been described as including the contact portion 110 and the support portion 120, but the electronic device 100 may not include the support portion 120. In this case, a part of the back surface 101B of the electronic device 100 is brought into contact with the subject at a position different from the test region, so that the contact state of the contact portion 110 with respect to the test region is supported.

In the above embodiment, the case where the contact portion 110 is fixed to the electronic device 100 has been described, but the contact portion 110 does not necessarily have to be directly fixed to the electronic device 100. The contact portion 110 may be fixed to a holder that is used by being fixed to the electronic device 100. For example, when the electronic device 100 is a smartphone, the contact portion 110 may be fixed to a case or a cover that is used by being fixed to the smartphone.

FIG. 17 is a diagram showing an example in which the contact portion 110 is fixed to the holder 160 of the electronic device 100. FIG. 17 shows, as an example, a case where the smartphone, which is the electronic device 100, is held in the smartphone case, which is the holder 160. As shown in FIG. 17, the contact part 110 and the support part 120 may be fixed to the rear surface 161B side of the holder 160. At least one of the contact portion 110 and the support portion 120 may be non-detachably fixed to the holder 160. At least one of the contact portion 110 and the support portion 120 may be detachably fixed to the holder 160.

When the abutting section 110 is fixed to the holder 160, the examinee leans the electronic apparatus 100 together with the holder 160 against the arm so that the abutting section 110 abuts on the site to be examined. Measurement of biological information by the device 100 can be executed.

When the contact part 110 is fixed to the holder 160, the contact part 110 is not necessary for the electronic device 100 such as a smartphone.

In the above embodiment, at least one of the contact portion 110 and the support portion 120 may be storable in the electronic device 100. 18 and 19 are diagrams showing an example of an electronic device 100 having a structure capable of storing the contact portion 110 and the support portion 120. FIG. 18A is a rear view of the electronic device 100 having a storage structure in a non-stored state. 18B is a cross-sectional view taken along the line AA of FIG. FIG. 19A is a rear view of the electronic device 100 having a storage structure in a stored state. 19B is a cross-sectional view taken along the line BB of FIG. However, in FIGS. 18B and 19B, the illustration of the mechanism on the front surface 101A side of the electronic device 100 is omitted.

As shown in FIGS. 18A and 18B, the electronic device 100 having a storage structure includes storage portions 111 and 121 for storing the contact portion 110 and the support portion 120 on the rear surface 101B side. Each of the storage units 111 and 121 has a structure in which the back surface 101B is recessed toward the inside of the main body of the electronic device 100. When the biological information is measured by the electronic device 100, the contact portion 110 and the support portion 120 are not stored in the storage portions 111 and 121, respectively, but are fixed on the back surface 101B.

When the biological information is not measured by the electronic device 100, the contact portion 110 and the support portion 120 are stored in the storage portions 111 and 121, respectively, as shown in FIGS. 19(a) and 19(b), for example. The stored state and the non-stored state of the contact portion 110 and the support portion 120 can be switched by a hinge structure provided in the electronic device 100, for example.

When the contact portion 110 and the support portion 120 are fixed to the holder 160 as described above, the holder 160 has a structure capable of storing at least one of the contact portion 110 and the support portion 120. May be.

When the electronic device 100 or the holder 160 has a storage structure, the subject can store the contact part 110 and/or the support part 120 in the electronic device 100 or the holder 160 when the biological information is not measured. In this way, when the contact part 110 and/or the support part 120 is not used, the contact part 110 and/or the support part 120 does not project from the electronic device 100 or the holder 160. As a result, when the electronic device 100 has a function other than the measurement of biological information, the subject can easily use the other function by using the electronic device 100. The storage structure is not limited to the structure described with reference to FIGS. 18 and 19. The storage structure may be any structure capable of storing at least one of the contact portion 110 and the support portion 120 in the electronic device 100 or the holder 160.

In the above-described embodiment, at least one of the contact portion 110 and the support portion 120 may be able to adjust the fixed position with respect to the electronic device 100. FIG. 20 is a diagram showing an example of an electronic device 100 having a structure (adjustment structure) whose fixed position can be adjusted. FIG. 20A is a rear view of the electronic device 100 having the adjustment structure. 20B is a cross-sectional view taken along the line CC of FIG. However, in FIG. 20B, the illustration of the mechanism on the front surface 101A side of the electronic device 100 is omitted.

As shown in FIGS. 20A and 20B, in the electronic device 100 having the adjustment structure, the contact portion 110 and the support portion 120 are fixed on the movable plate 170. The electronic device 100 includes a plate holding portion 171 having a recessed structure on the back surface 101B side of the main body. The movable plate 170 is slidable inside a plate holding portion 171 provided in the main body of the electronic device 100. That is, the movable plate 170 is movable with respect to the main body of the electronic device 100 in the vertical direction indicated by the arrow in FIGS. 20(a) and 20(b). By sliding the movable plate 170, the positions of the contact portion 110 and the support portion 120 with respect to the electronic device 100 are adjusted. The movable plate 170 is fixed to the electronic device 100 at an appropriate position within the movable range.

When the contact portion 110 and the support portion 120 are fixed to the holder 160 as described above, the holder 160 has a structure capable of adjusting the fixing position of at least one of the contact portion 110 and the support portion 120. You may have.

When the electronic device 100 or the holder 160 has the adjustment structure, the subject can adjust the fixed position of the contact portion 110 and/or the support part 120 with respect to the electronic device or the holder 160 when measuring the biological information. Therefore, the positions of the contact portion 110 and/or the support portion 120 can be adjusted according to the shape of the wrist or the like of the subject. The adjustment structure is not limited to the structure described with reference to FIG.

In FIG. 20, the example in which the contact portion 110 and the support portion 120 are fixed on one movable plate 170 and the positions thereof are adjusted as one body has been described. However, the fixed position of the contact portion 110 and the support portion 120 may be independently adjustable. When the fixed positions of the contact portion 110 and the support portion 120 can be adjusted independently, the positional relationship between the contact portion 110 and the support portion 120 can be adjusted according to the shape of the wrist or the like of the subject.

In the above embodiment, the case where the electronic device 100 is a mobile phone such as a smartphone has been described, but the electronic device 100 is not limited to this. The electronic device 100 may be, for example, a foldable mobile phone. The electronic device 100 may be any other electronic device that includes a sensor that can detect a motion factor of the electronic device 100.

In the above-described embodiment, a case has been described in which the subject places the arm on a table such as a desk and leans the electronic device 100 on the arm so that the electronic device 100 acquires the motion factor. The form is not necessarily limited to this. For example, depending on the size, shape, weight, and the like of the electronic device 100, the subject holds the electronic device 100, which is in contact with the arm that is the test site, with the finger of the hand opposite to the test site. Accordingly, the acquisition of the motion factor by the electronic device 100 may be executed.

100 electronic equipment 100A upper end 101 housing 101A front 101B back 101C side 102 touch screen display 102A display 102B touch screen 103A, 103B, 103C, 103E, 103F button 104 illuminance sensor 105 proximity sensor 106 receiver 107 microphone 108 first camera 109 second camera 110 Contact part 110a Contact surface 111 Storage part 120 Support part 130 Sensor 140 Control part 141 Power supply part 142 Storage part 143 Communication part 144 Notification part 150 Server 160 Holding tool 161B Rear surface 170 Movable plate 171 Plate holding part

Claims (16)

An electronic device,
A sensor for detecting a motion factor of the electronic device,
Based on the motion factor detected by the sensor in a state where the contact portion is fixed to the electronic device and is in contact with the test site, a control unit that measures biological information,
Equipped with
The electronic device, wherein at least a part of the contact portion is in contact with the test site and has a shape corresponding to the shape of the blood vessel in the test site. The control unit supports the contact state of the contact portion with respect to the test site by contacting the subject at a position different from the test site with the support unit being fixed to the electronic device. The electronic device according to claim 1, wherein the biological information is measured based on the motion factor detected by the sensor in a state. The electronic device according to claim 2, wherein at least one of the contact portion and the support portion can be stored. The electronic device according to claim 2 or 3, wherein at least one of the contact part and the support part is capable of adjusting the fixed position with respect to the electronic device. The electronic device according to claim 2, wherein at least one of the contact portion and the support portion is provided in a holder that is used by being fixed to the electronic device. The electronic device according to claim 5, wherein the holder is capable of storing at least one of the contact portion and the support portion. 7. The control unit measures the biological information based on the motion factor detected by the sensor in a state where the support unit is in contact with the wrist of the subject, and the biological information is measured. The electronic device according to the item. The electronic device according to any one of claims 1 to 7, wherein the sensor detects the motion factor based on a movement of a blood vessel in the examined region. The electronic device according to claim 8, wherein the blood vessel is at least one of a radial artery and an ulnar artery. The control unit measures the biological information based on a motion factor detected by the sensor in a state in which the contact portion is in contact with a portion facing the radial artery or the ulnar artery. Electronics. The at least one part of the said contact part is a taper shape according to the shape of the blood vessel in the said test site, or the shape which has a hollow according to the shape of the blood vessel in the said test site. Electronics. The electronic device according to claim 1, wherein the biological information includes at least one of a blood component, a pulse wave, a pulse, and a pulse wave propagation velocity. The electronic device according to any one of claims 1 to 12, wherein at least a part of the contact portion has a shape corresponding to the shape of the test site. The electronic device according to claim 1, wherein the motion factor includes at least one of acceleration and angular velocity. For electronic devices,
Detecting a motion factor of the electronic device,
Is detected in a state at least partially abutting portion which is in a shape corresponding to the shape of the vessel in contact and the measurement site to the measurement site is brought into contact with the fixed and the measurement site with respect to the electronic device And measuring biological information based on the motion factor,
A program to execute. A control method executed by an electronic device, comprising:
Detecting a motion factor of the electronic device,
Is detected in a state at least partially abutting portion which is in a shape corresponding to the shape of the vessel in contact and the measurement site to the measurement site is brought into contact with the fixed and the measurement site with respect to the electronic device And measuring biological information based on the motion factor,
Including a control method.

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