Biological information acquisition system and biological information acquisition method

Abstract

To provide a biological information acquisition system and a biological information acquisition method capable of enhancing acquisition accuracy of biological information.SOLUTION: A biological information acquisition system 1 comprises: a transmission / reception part 11 for radiating a radio wave Tx1 from a first direction to a biological information acquisition object, receiving a reflection wave Rx1 for each radio wave Tx1, acquiring a first signal for each bin which is defined by a distance and an angle in a first region corresponding to the first direction, radiating a radio wave Tx2 from a second direction different from the first direction to the biological information acquisition object, receiving a reflection wave Rx2 of the radio wave Tx2, and acquiring a second signal for each bin defined by a distance and an angle in a second region corresponding to the second direction; and a biological signal generation part 12 for acquiring, as a biological signal of the biological information acquisition object, a combined signal obtained by adding displacement components of the first signal and the second signal where a correlation degree of prescribed feature amounts extracted from the first signal and the second signal becomes maximum.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a biometric information acquiring system and a biometric information acquiring method. [Background technology]

[0002] Conventionally, radar (RADAR: Radio Detection And Ranging) is used to measure the displacement of the surface of a living body from reflected waves, and to obtain biological information (such as respiratory rate and heart rate).

[0003] The displacement components acquired by the radar include body surface displacement components due to vital signs such as breathing and heart rate, as well as body movement components due to human body movement. Patent Document 1 discloses a biological information measuring system that includes first and second radio wave sensors arranged to sandwich a living body (human body) on an air mat from above and below. Patent Document 1 claims that biological information that reduces the influence of disturbances such as the patient's body movement can be acquired from a composite signal of detection signals from the two radio wave sensors.

[0004] Patent Document 2 discloses a biological information measuring system having microwave transmitting and receiving units arranged on the front and back sides of a subject (human body). Patent Document 2 claims that a phase difference signal in which noise associated with movements of the subject that are not the measurement target is suppressed can be obtained by adding two phase difference signals from the front and back of the subject to obtain a phase difference signal for the entire system.

[0005] Furthermore, as a vital sign extraction method, a technology that utilizes the correlation between the amplitude and phase of a signal obtained from an FMCW (Frequency Modulated Continuous Wave) radar has been disclosed (for example, Non-Patent Document 1). [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2020-130328 A [Patent Document 2] JP 2011-050604 A [Non-patent literature]

[0007] [Non-Patent Document 1] H. Choi, H. Song and H. Shin, “Target Range Selection of FMCW Radar for Accurate Vital Information Extraction”, IEEE Access, vol.9, pp. 1261-1270, 2020. Summary of the Invention [Problem to be solved by the invention]

[0008] In Patent Document 1 and Patent Document 2, the signals acquired by the opposing antennas do not necessarily include appropriate biological information. Specifically, for example, depending on individual differences such as the patient's height, body type, and build, and the patient's position on the air mat, it may be difficult to acquire body surface displacement components caused by vital signs such as breathing and heart rate. In addition, for example, when the patient moves on the air mat, it may be difficult to acquire appropriate biological information.

[0009] The present disclosure has been made in view of the above, and has an object to provide a biometric information acquiring system and a biometric information acquiring method that can improve the accuracy of acquiring biometric information. [Means for solving the problem]

[0010] A biometric information acquisition system according to one aspect of the present disclosure includes a transceiver that radiates radio waves from a first direction toward a biometric information acquisition target, receives reflected waves of the radio waves, and acquires a first signal for each bin defined by a distance and an angle in a first region corresponding to the first direction, and radiates radio waves from a second direction different from the first direction toward the biometric information acquisition target, receives reflected waves of the radio waves, and acquires a second signal for each bin defined by a distance and an angle in a second region corresponding to the second direction, and a biometric signal generation unit that acquires as a biometric signal of the biometric information acquisition target a composite signal that is obtained by adding displacement components of the first and second signals that maximize a correlation between predetermined features extracted from the first and second signals.

[0011] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation.

[0012] A biometric information acquisition method according to one aspect of the present disclosure includes a first signal acquisition step of emitting radio waves from a first direction to a biometric information acquisition target, receiving reflected waves of the radio waves, and acquiring a first signal for each bin defined by a distance and an angle in a first region corresponding to the first direction, a second signal acquisition step of emitting radio waves from a second direction different from the first direction to the biometric information acquisition target, receiving reflected waves of the radio waves, and acquiring a second signal for each bin defined by a distance and an angle in a second region corresponding to the second direction, and a biometric signal acquisition step of acquiring a composite signal obtained by adding displacement components of the first and second signals that maximize the correlation between predetermined features extracted from the first and second signals as the biometric signal of the biometric information acquisition target.

[0013] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation. Effect of the Invention

[0014] According to the present disclosure, it is possible to realize a biometric information acquiring system and a biometric information acquiring method that can improve the accuracy of acquiring biometric information. [Brief description of the drawings]

[0015] [Figure 1] FIG. 1 is a block diagram showing a schematic configuration of a biological information acquiring system according to the first embodiment. [Figure 2A] FIG. 2A is a schematic diagram illustrating an example of a first region that is an observation range of a first radar according to the first embodiment. [Figure 2B] FIG. 2B is a schematic diagram illustrating an example of a second region that is an observation range of the second radar according to the first embodiment. [Diagram 3] FIG. 3 is a conceptual diagram showing an example of the arrangement of the transmitting and receiving units according to the first embodiment. [Figure 4A] FIG. 4A is a diagram illustrating an example of a displacement component of a first signal. [Figure 4B] FIG. 4B is a diagram showing an example of a body surface displacement component caused by vital signs such as respiration and heart rate, which is included in the displacement component of the first signal. [Figure 4C] FIG. 4C is a diagram showing an example of a body movement component caused by the movement of the subject, which is included in the displacement component of the first signal. [Figure 5A] FIG. 5A is a diagram illustrating an example of a displacement component of the second signal. [Figure 5B]FIG. 5B is a diagram showing an example of a body surface displacement component caused by vital signs such as respiration and heart rate, which is included in the displacement component of the second signal. [Figure 5C] FIG. 5C is a diagram showing an example of a body movement component caused by the movement of the subject, which is included in the displacement component of the second signal. [Figure 6] FIG. 6 is a diagram showing the displacement of the biometric information acquisition target obtained by adding the displacement component of the first signal and the displacement component of the second signal. [Figure 7] FIG. 7 is a flowchart illustrating an example of a biometric information acquisition process according to the first embodiment. [Figure 8] FIG. 8 is a sub-flowchart illustrating an example of the first correlation degree calculation process according to the first embodiment. [Figure 9] FIG. 9 is a sub-flowchart illustrating an example of the second correlation degree calculation process according to the first embodiment. [Figure 10] FIG. 10 is a block diagram showing a schematic configuration of a biological information acquiring system according to a first modified example of the first embodiment. [Figure 11A] FIG. 11A is a conceptual diagram showing an example of an arrangement of a transmitting / receiving unit according to a first modified example of the first embodiment. [Figure 11B] FIG. 11B is a schematic diagram showing a specific example of the arrangement of the transmitting and receiving units according to the first modification of the first embodiment. [Figure 12] FIG. 12 is a schematic diagram showing an example of a first region and a second region that are observation ranges of a radar according to a first modified example of the first embodiment. [Figure 13] FIG. 13 is a block diagram showing a schematic configuration of a biological information acquiring system according to a second modified example of the first embodiment. [Figure 14A] FIG. 14A is a conceptual diagram showing an example of an arrangement of a transmitting / receiving unit according to a second modification of the first embodiment. [Figure 14B] FIG. 14B is a schematic diagram showing a specific example of the arrangement of the transmitting and receiving units according to the second modification of the first embodiment. [Figure 15] FIG. 15 is a schematic diagram showing an example of a first region and a second region that are observation ranges of a radar according to a second modification of the first embodiment. [Figure 16]FIG. 16 is a block diagram showing a schematic configuration of a biological information acquiring system according to the second embodiment. [Figure 17A] FIG. 17A is a diagram showing a specific example of the process of the first displacement component calculation unit according to the second embodiment. [Figure 17B] FIG. 17B is a diagram showing a specific example of the process of the first displacement component calculation unit according to the second embodiment. [Figure 18A] FIG. 18A is a diagram showing a specific example of the process of the second displacement component calculation unit according to the second embodiment. [Figure 18B] FIG. 18B is a diagram showing a specific example of the process of the second displacement component calculation unit according to the second embodiment. [Figure 19] FIG. 19 is a flowchart illustrating an example of a biometric information acquisition process according to the second embodiment. [Figure 20] FIG. 20 is a sub-flowchart illustrating an example of the first displacement component calculation process according to the second embodiment. [Figure 21] FIG. 21 is a sub-flowchart illustrating an example of the second displacement component calculation process according to the second embodiment. [Figure 22] FIG. 22 is a sub-flowchart illustrating an example of the correlation degree calculation process according to the second embodiment. [Figure 23] FIG. 23 is a block diagram showing a schematic configuration of a biological information acquiring system according to a first modified example of the second embodiment. [Figure 24] FIG. 24 is a block diagram showing a schematic configuration of a biological information acquiring system according to a second modified example of the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] Hereinafter, a biometric information acquiring system and a biometric information acquiring method according to an embodiment will be described in detail with reference to the drawings. Note that the present disclosure is not limited to the embodiment.

[0017] 1 is a block diagram showing a schematic configuration of a biological information acquiring system according to embodiment 1. The biological information acquiring system 1 according to the present disclosure includes a transmitting / receiving unit 11 and a biological signal generating unit 12.

[0018] In the configuration of the biometric information acquisition system 1 according to the first embodiment, the transmitting / receiving unit 11 includes a first radar 111a and a second radar 111b. The first radar 111a and the second radar 111b are FMCW (Frequency Modulated Continuous Wave) radars that include multiple transmitting antennas and receiving antennas and can acquire signals for each bin defined by distance and angle. Since FMCW radars are known, detailed description may be omitted.

[0019] Fig. 2A is a schematic diagram showing an example of a first region which is an observation range of a first radar according to embodiment 1. In Fig. 2A, the X direction indicates the arrangement direction of a plurality of transmitting antennas and receiving antennas of the first radar 111a, and the Y direction indicates a direction perpendicular to the arrangement direction of the plurality of transmitting antennas and receiving antennas of the first radar 111a.

[0020] The first area A1, which is the observation range of the first radar 111a, is a sector-shaped area opening at a predetermined angle with the Y direction as the center, and is divided into mesh-like bins 2a defined by the distance from the first radar 111a and the angle with respect to the Y direction. The first area A1 is divided into M in the distance direction and N in the angle direction, and is composed of M×N bins 2a. In FIG. 2A, the first area A1 is divided into 4 in the distance direction and 6 in the angle direction, and is composed of 24 bins 2a, but is not limited to this.

[0021] Fig. 2B is a schematic diagram showing an example of a second region which is an observation range of the second radar according to embodiment 1. In Fig. 2B, the X' direction indicates the arrangement direction of the multiple transmitting antennas and receiving antennas of the second radar 111b, and the Y' direction indicates a direction perpendicular to the arrangement direction of the multiple transmitting antennas and receiving antennas of the second radar 111b.

[0022] The second area A2, which is the observation range of the second radar 111b, is a sector-shaped area opening at a predetermined angle with the Y' direction as the center, and is divided into mesh-like bins 2b defined by the distance from the second radar 111b and the angle with respect to the Y' direction. The second area A2 is divided into P in the distance direction and Q in the angle direction, and is composed of P x Q bins 2b. In FIG. 2B, the second area A2 is divided into 4 in the distance direction and 6 in the angle direction, and is composed of 24 bins 2b, but is not limited to this.

[0023] FIG. 3 is a conceptual diagram showing an example of the arrangement of the transmitting and receiving units according to the first embodiment. In the example shown in FIG. 3, the first radar 111a and the second radar 111b are arranged to sandwich the subject 100, which is a subject of biometric information acquisition in the present disclosure, from the front and rear. In one example, the subject 100 is a human body. In FIG. 3, an example in which the subject 100 is arranged at the center of the first radar 111a and the second radar 111b arranged opposite each other is shown by solid lines, but this is not limited thereto. In the present disclosure, when the subject 100 is a human body, the first radar 111a and the second radar 111b may be arranged in front of and behind the subject 100, respectively, or may be arranged on the left and right sides of the subject 100, respectively, as shown by dashed lines in FIG. 3. In addition, the first radar 111a and the second radar 111b do not necessarily have to be arranged opposite each other.

[0024] 3, the first radar 111a emits radio waves Tx1 from the front (first direction) toward the object 100, receives reflected waves Rx1 of the radio waves Tx1, and acquires a first signal S1 for each bin 2a defined in the first area A1. Hereinafter, the first signal S1 acquired at the coordinate point (m, n) (m is a natural number from 1 to M, and n is a natural number from 1 to N) of each bin 2a shown in FIG. 2A will be referred to as a first signal S1(m, n).

[0025] 3, the second radar 111b emits radio waves Tx2 from the rear (second direction) toward the object 100, receives reflected waves Rx2 of the radio waves Tx2, and acquires a second signal S2 for each bin 2b defined in the second area A2. Hereinafter, the second signal S2 acquired at the coordinate point (p, q) (p is a natural number from 1 to P, and q is a natural number from 1 to Q) of each bin 2b shown in FIG. 2B will be referred to as a second signal S2(p, q).

[0026] In the present disclosure, the biosignal generating unit 12 extracts a combination of the first signal S1(m,n) and the second signal S2(p,q) that maximizes the correlation of a predetermined feature amount from the first signal S1(m,n) and the second signal S2(p,q), and acquires a composite signal obtained by adding displacement components of the time change of the selected first signal S1(m,n) and second signal S2(p,q) as the biosignal of the subject 100. In the following description, the "displacement component of the time change of the first signal S1(m,n) (second signal S2(p,q))" is also simply referred to as the "displacement component of the first signal S1(m,n) (second signal S2(p,q))".

[0027] Specifically, in the configuration of embodiment 1, the biological signal generation unit 12 includes a first correlation calculation unit 121a, a second correlation calculation unit 121b, a first displacement component calculation unit 123a, a second displacement component calculation unit 123b, and a disturbance removal unit 125.

[0028] The first correlation calculation unit 121a calculates the amplitude component A of the time change of the first signal S1(m,n) of each bin 2a of the first region A1 during a predetermined period (for example, 5 sec to 30 sec) using the following equation (1). m,n (t) and phase component φ m,n (t) (hereinafter also referred to as "first correlation degree Cor1(m,n)") is calculated, and the first signal S1(m,n) with the maximum first correlation degree Cor1(m,n) (first maximum correlation degree Cor1max) is extracted from the first signals S1(m,n) for each bin 2a in the first region A1. In the following description, "the amplitude component A of the time change of the first signal S1(m,n)" is used to m,n (t)(phase component φ m,n (t))" is simply "the amplitude component A of the first signal S1(m,n)m,n (t)(phase component φ m,n In the following formula (1), T is a predetermined period for acquiring a signal, t is unit time, A is amplitude, φ is phase, and σ is standard deviation.

[0029]

number

[0030] The first displacement component calculation unit 123a calculates the displacement component d1(t) of the first signal S1(m,n) extracted by the first correlation degree calculation unit 121a. The displacement component d1(t) of the first signal S1(m,n) is expressed by the following equation (2). In the following equation (2), λ represents the wavelength.

[0031]

number

[0032] The second correlation calculation unit 121b calculates the amplitude component A of the time change of the second signal S2(p,q) of each bin 2b of the second region A2 during a predetermined period (for example, 5 sec to 30 sec) using the following equation (3). p,q (t) and phase component φ p,q (t) (hereinafter also referred to as "second correlation degree Cor2(p,q)") is calculated, and the second signal S2(p,q) with the maximum second correlation degree Cor2(p,q) (second maximum correlation degree Cor2max) is extracted from the second signals S2(p,q) for each bin 2b in the second region A2. In the following description, "the amplitude component A of the time change of the second signal S2(p,q)" is used to p,q (t)(phase component φ p,q (t))" is simply "the amplitude component A of the second signal S2(p,q) p,q (t)(phase component φ p,q (t))”

[0033]

number

[0034] The second displacement component calculation unit 123b calculates the displacement component d2(t) of the second signal S2(p,q) extracted by the second correlation calculation unit 121b. The displacement component d2(t) of the second signal S2(p,q) is expressed by the following equation (4).

[0035]

number

[0036] Fig. 4A is a diagram showing an example of a displacement component of a first signal. Fig. 4B is a diagram showing an example of a body surface displacement component caused by vital signs such as respiration and heart rate, which is included in the displacement component of the first signal. Fig. 4C is a diagram showing an example of a body movement component caused by the movement of a subject, which is included in the displacement component of the first signal.

[0037] Fig. 5A is a diagram showing an example of a displacement component of the second signal. Fig. 5B is a diagram showing an example of a body surface displacement component caused by vital signs such as breathing and heart rate, which is included in the displacement component of the second signal. Fig. 5C is a diagram showing an example of a body movement component caused by the movement of the subject, which is included in the displacement component of the second signal.

[0038] FIG. 6 is a diagram showing the displacement of the biometric information acquisition target obtained by adding the displacement component of the first signal and the displacement component of the second signal.

[0039] The displacement component d1(t) of the first signal S1(m,n) shown in FIG. 4A includes a body surface displacement component dr1(t) due to vital signs such as breathing and heart rate shown in FIG. 4B, as well as a body movement component df1(t) (see FIG. 4C) due to movement of the subject 100 (e.g., a human body), as shown in the following equation (5).

[0040]

number

[0041] In addition, the displacement component d2(t) of the second signal S2(p, q) shown in FIG. 5A includes a body surface displacement component dr2(t) due to vital signs such as breathing and heart rate shown in FIG. 5B, as well as a body movement component df2(t) (see FIG. 5C) due to movement of the subject 100 (e.g., a human body), as shown in the following equation (6).

[0042]

number

[0043] Here, as shown in Figures 4A and 4C, an example is shown in which the distance d1 between the first radar 111a and the object 100 (e.g., a human body) decreases over time. At this time, the distance d2 between the second radar 111b and the object 100 (e.g., a human body) increases over time, as shown in Figures 5A and 5C.

[0044] The body motion components caused by the movement of the subject 100 are opposite in direction between the first signal S1(m,n) acquired by the reflected wave Rx1 from the front (first direction) of the subject 100 (e.g., human body) and the second signal S2(p,q) acquired by the reflected wave Rx2 from the rear (second direction) of the subject 100 (e.g., human body). This is because the body motion caused by the movement of the subject 100 (e.g., human body) is a unidirectional movement. In addition, the amount of movement per unit time is the same in the front (first direction) and the rear (second direction). Therefore, the body motion component df1(t) included in the displacement component d1(t) of the first signal S1(m,n) and the body motion component df2(t) included in the displacement component d2(t) of the second signal S2(p,q) can be expressed by the relational expression shown in the following formula (7).

[0045]

number

[0046] In contrast, body surface displacement components caused by vital signs such as breathing and heart rate are in-phase components in a first signal S1(m,n) acquired by a reflected wave Rx1 from the front (first direction) of the subject 100 (e.g., human body) and a second signal S2(p,q) acquired by a reflected wave Rx2 from the rear (second direction) of the subject 100 (e.g., human body). This is because vital signs such as breathing and heart rate are displacements that cause the subject 100 (e.g., human body) to expand or contract.

[0047] In the present disclosure, the disturbance removal section 125 adds a displacement component d1(t) of a first signal S1(m,n) acquired by a reflected wave Rx1 from the front (first direction) of the subject 100 (e.g., human body) to a displacement component d2(t) of a second signal S2(p,q) acquired by a reflected wave Rx2 from the rear (second direction) of the subject 100 (e.g., human body), as shown in the following equation (8). This makes it possible to obtain a composite signal 2d(t) from which a body movement component caused by the movement of the subject 100 (e.g., human body) has been removed.

[0048]

number

[0049] As shown in the above formula (8), the composite signal 2d(t) is given as a sum of the body surface displacement component dr1(t) due to vital signs such as respiration and heartbeat contained in the displacement component d1(t) of the first signal S1(m,n) and the body surface displacement component dr2(t) due to vital signs such as respiration and heartbeat contained in the displacement component d2(t) of the second signal S2(p,q). As a result, the composite signal 2d(t) can increase the amount of change per unit time with respect to the body surface displacement component dr1(t) due to vital signs such as respiration and heartbeat contained in the displacement component d1(t) of the first signal S1(m,n) and the body surface displacement component dr2(t) due to vital signs such as respiration and heartbeat contained in the displacement component d2(t) of the second signal S2(p,q), as shown in FIG.

[0050] The disturbance removing section 125 acquires the composite signal 2d(t) obtained as described above as a biosignal of the subject 100, from which bioinformation is to be acquired, thereby making it possible to improve the accuracy of acquiring the bioinformation.

[0051] Hereinafter, a specific example of the biometric information acquisition process according to the embodiment 1 will be described. Fig. 7 is a flowchart showing an example of the biometric information acquisition process according to the embodiment 1.

[0052] The first correlation calculation unit 121a executes a first correlation calculation process (step S110). Fig. 8 is a sub-flowchart showing an example of the first correlation calculation process according to embodiment 1. As a precondition for the first correlation calculation process, it is assumed that the variable m of the number of divisions M in the distance direction, the variable n of the number of divisions N in the angle direction, and the first maximum correlation Cor1max are reset (m=0, n=0, Cor1max=0).

[0053] The first correlation calculation unit 121a calculates the first correlation Cor1(m,n) using the above formula (1) with n=n+1 (step S111) and m=m+1 (step S112).Then, the first correlation calculation unit 121a determines whether the calculated first correlation Cor1(m,n) is equal to or greater than the first maximum correlation Cor1max (step S113).

[0054] If the first correlation degree Cor1(m,n) is equal to or greater than the first maximum correlation degree Cor1max (step S113; Yes), the index value of the first signal S1(m,n) corresponding to the first correlation degree Cor1(m,n) is held (step S114a), the first correlation degree Cor1(m,n) of the first signal S1(m,n) is updated as the first maximum correlation degree Cor1max (Cor1max=Cor1(m,n), step S114b), and the process proceeds to step S115. If the first correlation degree Cor1(m,n) is less than the first maximum correlation degree Cor1max (step S113; No), the first maximum correlation degree Cor1max is not updated and the process proceeds to step S115.

[0055] The first correlation calculation unit 121a determines whether m=M (step S115), and if m=M is ​​not true (step S115; No), repeats the processing from step S112 onward. If m=M is ​​true (step S115; Yes), the first correlation calculation unit 121a resets the variable m of the division number M in the distance direction (m=0, step S116).

[0056] Next, the first correlation calculation unit 121a determines whether or not n=N (step S117), and if n=N is not true (step S117; No), it repeats the processes from step S111 onward. If n=N is true (step S117; Yes), the first correlation calculation unit 121a resets the variable n of the number of divisions N in the angle direction (n=0, step S118), and returns to the biometric information acquisition process flow shown in FIG.

[0057] Returning to the biometric information acquisition processing flow shown in FIG. 7, the first displacement component calculation unit 123a extracts the first signal S1(m,n) by referring to the index value held by the first correlation calculation unit 121a, and calculates the displacement component d1(t) of the first signal S1(m,n) using the above equation (2) (step S120).

[0058] The second correlation calculation unit 121b executes a second correlation calculation process (step S130). Fig. 9 is a sub-flowchart showing an example of the second correlation calculation process according to embodiment 1. As a precondition for the second correlation calculation process, it is assumed that the variable p of the number of divisions P in the distance direction, the variable q of the number of divisions Q in the angle direction, and the second maximum correlation Cor2max are reset (p=0, q=0, Cor2max=0).

[0059] The second correlation calculation unit 121b calculates the second correlation Cor2(p, q) using the above formula (3) with q=q+1 (step S131) ​​and p=p+1 (step S132).Then, the second correlation calculation unit 121b determines whether the calculated second correlation Cor2(p, q) is equal to or greater than the second maximum correlation Cor2max (step S133).

[0060] If the second correlation degree Cor2(p,q) is equal to or greater than the second maximum correlation degree Cor2max (step S133; Yes), the index value of the second signal S2(p,q) corresponding to the second correlation degree Cor2(p,q) is held (step S134a), the second correlation degree Cor2(p,q) of the second signal S2(p,q) is updated as the second maximum correlation degree Cor2max (Cor2max=Cor2(p,q), step S134b), and the process proceeds to step S135. If the second correlation degree Cor2(p,q) is less than the second maximum correlation degree Cor2max (step S133; No), the second maximum correlation degree Cor2max is not updated and the process proceeds to step S135.

[0061] The second correlation calculation unit 121b determines whether p=P (step S135), and if p=P is not true (step S135; No), repeats the processing from step S132 onward. If p=P is true (step S135; Yes), the second correlation calculation unit 121b resets the variable p of the division number P in the distance direction (p=0, step S136).

[0062] Next, the second correlation calculation unit 121b determines whether or not q=Q (step S137), and if q=Q is not true (step S137; No), repeats the processing from step S131 onward. If q=Q is true (step S137; Yes), the second correlation calculation unit 121b resets the variable q of the number of divisions Q in the angle direction (q=0, step S138), and returns to the biometric information acquisition processing flow shown in FIG.

[0063] Returning to the biometric information acquisition processing flow shown in FIG. 7, the second displacement component calculation unit 123b extracts the second signal S2(p, q) by referring to the index value held by the second correlation calculation unit 121b, and calculates the displacement component d2(t) of the second signal S2(p, q) using the above equation (4) (step S140).

[0064] The disturbance removal unit 125 acquires a composite signal 2d(t) obtained by adding the displacement component d1(t) calculated by the first displacement component calculation unit 123a and the displacement component d2(t) calculated by the second displacement component calculation unit 123b using the above equation (8) as a biosignal of the subject 100, from which bioinformation is to be acquired (step S150), and terminates the biosignal acquisition process.

[0065] (First Modification) 10 is a block diagram showing a schematic configuration of a biometric information acquiring system according to a first modified example of embodiment 1. A biometric information acquiring system 1a according to the first modified example of embodiment 1 differs from the biometric information acquiring system 1 according to embodiment 1 only in the configuration of a transmitting / receiving unit 11a. Here, differences from embodiment 1 will be described in detail, and descriptions of the same contents as embodiment 1 may be omitted.

[0066] In the configuration according to the first modification of the first embodiment, the transmitting / receiving unit 11a includes a radar 111 and a reflector 112. The radar 111 is an FMCW radar similar to the first radar 111a and the second radar 111b of the first embodiment.

[0067] The reflector 112 is made of a material such as metal that reflects the radio waves emitted from the radar 111 .

[0068] Fig. 11A is a conceptual diagram showing an example of the arrangement of a transmitting / receiving unit according to a first modified example of embodiment 1. Fig. 11B is a schematic diagram showing a specific example of the arrangement of a transmitting / receiving unit according to a first modified example of embodiment 1. In the example shown in Fig. 11A and Fig. 11B, a radar 111 and a reflector 112 are arranged to sandwich a subject 100, which is a subject from which biological information is to be acquired in the present disclosure, from the front and rear.

[0069] Fig. 12 is a schematic diagram showing an example of a first region and a second region which are the observation range of a radar according to a first modified example of embodiment 1. In Fig. 12, the X direction indicates the arrangement direction of a plurality of transmitting antennas and receiving antennas of the radar 111, and the Y direction indicates a direction perpendicular to the arrangement direction of the plurality of transmitting antennas and receiving antennas of the radar 111.

[0070] In the first modification of the first embodiment, the observation range of the radar 111 includes a first area A1 and a second area A2 obtained by dividing a sector-shaped area that opens at a predetermined angle with the Y direction as the center in the distance direction into two areas.

[0071] The first region A1 is divided into M parts in the distance direction and N parts in the angle direction, and is composed of M × N bins 2a. In Fig. 12, the first region A1 is divided into two parts in the distance direction and six parts in the angle direction, and is composed of 12 bins 2a, but is not limited to this.

[0072] The second region A2 is divided into P in the distance direction and Q in the angle direction, and is composed of P x Q bins 2b. In Fig. 12, the second region A2 is divided into two in the distance direction and six in the angle direction, and is composed of 12 bins 2b, but is not limited to this.

[0073] The radar 111 receives a reflected wave Rx1 of the radio wave Tx1 reflected by the object 100, and acquires a first signal S1(m,n) for each bin 2a defined in the first region A1. The radar 111 also receives a reflected wave Rx2 of the radio wave Tx2 reflected by the reflector 112, and acquires a second signal S2(p,q) for each bin 2b defined in the second region A2.

[0074] (Second Modification) 13 is a block diagram showing a schematic configuration of a biometric information acquiring system according to a second modified example of embodiment 1. A biometric information acquiring system 1b according to the second modified example of embodiment 1 is different from the configuration of the biometric information acquiring system 1 according to embodiment 1 only in the configuration of a transmitting / receiving unit 11b. Here, the contents different from embodiment 1 will be described in detail, and the description of the same contents as embodiment 1 may be omitted.

[0075] In the configuration according to the second modification of the first embodiment, the transceiver unit 11b includes a radar 111, a first reflector 112a, and a second reflector 112b. The radar 111 is an FMCW radar similar to the first radar 111a and the second radar 111b of the first embodiment.

[0076] The first reflector 112a and the second reflector 112b are made of a material that reflects the radio waves emitted from the radar 111, such as a metal.

[0077] Fig. 14A is a conceptual diagram showing an example of the arrangement of a transceiver unit according to a second modified example of embodiment 1. Fig. 14B is a schematic diagram showing a specific example of the arrangement of a transceiver unit according to a second modified example of embodiment 1. In the example shown in Fig. 14A and Fig. 14B, a first reflector 112a and a second reflector 112b are arranged to sandwich a subject 100, which is a subject from which biometric information is to be acquired in this disclosure, from the front and rear.

[0078] Fig. 15 is a schematic diagram showing an example of a first region and a second region which are the observation range of a radar according to a second modified example of embodiment 1. In Fig. 15, the X direction indicates the arrangement direction of a plurality of transmitting antennas and receiving antennas of the radar 111, and the Y direction indicates a direction perpendicular to the arrangement direction of the plurality of transmitting antennas and receiving antennas of the radar 111.

[0079] In the second modification of the first embodiment, the observation range of the radar 111 includes a sector-shaped area that opens at a predetermined angle with the Y direction as the center, and includes a first area A1 and a second area A2 that are obtained by dividing the sector-shaped area into two in the angular direction.

[0080] The first region A1 is divided into M parts in the distance direction and N parts in the angle direction, and is composed of M × N bins 2a. In Fig. 15, the first region A1 is divided into 4 parts in the distance direction and 3 parts in the angle direction, and is composed of 12 bins 2a, but is not limited to this.

[0081] The second region A2 is divided into P in the distance direction and Q in the angle direction, and is composed of P x Q bins 2b. In Fig. 15, the second region A2 is divided into 4 in the distance direction and 3 in the angle direction, and is composed of 12 bins 2b, but is not limited to this.

[0082] The radar 111 receives a reflected wave Rx1 of the radio wave Tx1 reflected by the first reflector 112a, and acquires a first signal S1(m,n) for each bin 2a defined in the first area A1. The radar 111 also receives a reflected wave Rx2 of the radio wave Tx2 reflected by the second reflector 112b, and acquires a second signal S2(p,q) for each bin 2b defined in the second area A2.

[0083] (Embodiment 2) 16 is a block diagram showing a schematic configuration of a bioinformation acquiring system according to embodiment 2. A bioinformation acquiring system 1c according to embodiment 2 differs from the bioinformation acquiring system 1 according to embodiment 1 in the configuration of a biosignal generating unit 12a and in bioinformation acquiring processing. Here, differences from embodiment 1 will be described in detail, and descriptions of the same contents as embodiment 1 may be omitted.

[0084] Specifically, in the configuration according to the second embodiment, the biological signal generator 12a includes a first displacement component calculator 122a, a second displacement component calculator 122b, a correlation calculator 124, and a disturbance remover 125. Note that the first displacement component calculator 122a and the second displacement component calculator 122b in the second embodiment are components substantially different from the first displacement component calculator 123a and the second displacement component calculator 123b in the first embodiment.

[0085] 17A and 17B are diagrams showing a specific example of the processing of the first displacement component calculation unit according to the second embodiment. The first displacement component calculation unit 122a calculates the displacement component d1(t) of the first signal S1(m,n) for each bin 2a of the first region A1 for a predetermined period (for example, 5 sec to 30 sec) using the above formula (2) (FIG. 17A), and calculates the first displacement component dk(t) by removing the average value d1(t)ave of the displacement component d1(t) (FIG. 17B). The first displacement component dk(t) is expressed by the following formula (9).

[0086]

number

[0087] 18A and 18B are diagrams showing a specific example of the processing of the second displacement component calculation unit according to the second embodiment. The second displacement component calculation unit 122b calculates the displacement component d2(t) of the second signal S2(p,q) for each bin 2b in the second region A2 for a predetermined period (for example, 5 sec to 30 sec) using the above formula (4) (FIG. 18A), and calculates the second displacement component dl(t) by removing the average value d2(t)ave of the displacement component d2(t) and inverting the sign (FIG. 18B). The second displacement component dl(t) is expressed by the following formula (10).

[0088]

number

[0089] The correlation calculation unit 124 calculates the correlation (hereinafter also referred to as "correlation Cor(k,l)") between the first displacement component dk(t) of the first signal S1(m,n) for each bin 2a in the first region A1 and the second displacement component dl(t) of the second signal S2(p,q) for each bin 2b in the second region A2, using the following equation (11): In the following equation (11), α is an arbitrary constant value (e.g., 1.5).

[0090]

number

[0091] The disturbance removal unit 125 extracts the first signal S1(m,n) and the second signal S2(p,q) with the maximum correlation Cor(k,l) (maximum correlation Cormax), and adds the displacement component d1(t) (FIG. 17A) of the extracted first signal S1(m,n) to the displacement component d2(t) (FIG. 18A) of the second signal S2(p,q). This makes it possible to obtain a composite signal 2d(t) from which the body movement component caused by the movement of the subject 100 (e.g., the human body) has been removed.

[0092] As described above, the composite signal 2d(t) is given as the sum of the body surface displacement component dr1(t) due to vital signs such as respiration and heart rate contained in the displacement component d1(t) of the first signal S1(m,n) and the body surface displacement component dr2(t) due to vital signs such as respiration and heart rate contained in the displacement component d2(t) of the second signal S2(p,q).

[0093] The disturbance removing section 125 acquires the composite signal 2d(t) obtained as described above as a biosignal of the subject 100, from which bioinformation is to be acquired, thereby making it possible to improve the accuracy of acquiring the bioinformation.

[0094] Hereinafter, a specific example of the biometric information acquisition process according to the embodiment 2 will be described. Fig. 19 is a flowchart showing an example of the biometric information acquisition process according to the embodiment 1.

[0095] The first displacement component calculation unit 122a executes a first displacement component calculation process (step S210). Fig. 20 is a sub-flowchart showing an example of the first displacement component calculation process according to embodiment 2. As a precondition for the first displacement component calculation process, it is assumed that the variable m of the number of divisions M in the distance direction and the variable n of the number of divisions N in the angle direction are reset (m=0, n=0).

[0096] The first displacement component calculation unit 122a sets n=n+1 (step S211) and m=m+1 (step S212), and calculates the first displacement component dk(t) by using the above equations (2) and (9) (step S213).

[0097] The first displacement component calculation unit 122a determines whether m=M (step S214), and if m=M is ​​not true (step S214; No), repeats the processing from step S212 onward. If m=M is ​​true (step S214; Yes), the first displacement component calculation unit 122a resets the variable m of the division number M in the distance direction (m=0, step S215).

[0098] Next, the first displacement component calculation unit 122a determines whether n=N (step S216), and if n=N is not true (step S216; No), it repeatedly executes the processes from step S211 onward. If n=N is true (step S216; Yes), the first displacement component calculation unit 122a resets the variable n of the number of divisions N in the angle direction (n=0, step S217), and returns to the biometric information acquisition process flow shown in FIG.

[0099] Returning to the biometric information acquisition process flow shown in Fig. 19, the second displacement component calculation unit 122b executes the second displacement component calculation process (step S220). Fig. 21 is a sub-flowchart showing an example of the second displacement component calculation process according to the second embodiment. As a precondition for the second displacement component calculation process, it is assumed that the variable p of the number of divisions P in the distance direction and the variable q of the number of divisions Q in the angle direction are reset (o=0, p=0).

[0100] The second displacement component calculation unit 122b sets q=q+1 (step S221) and p=p+1 (step S222), and calculates the second displacement component dl(t) by using the above equations (4) and (10) (step S223).

[0101] The second displacement component calculation unit 122b determines whether p=P (step S224), and if p=P is not true (step S224; No), repeats the processing from step S222 onward. If p=P is true (step S224; Yes), the second displacement component calculation unit 122b resets the variable p of the division number P in the distance direction (p=0, step S225).

[0102] Next, the second displacement component calculation unit 122b determines whether or not q=Q (step S226), and if q=Q is not true (step S226; No), repeats the processing from step S221 onward. If q=Q is true (step S226; Yes), the second displacement component calculation unit 122b resets the variable q of the number of divisions Q in the angle direction (q=0, step S227), and returns to the biometric information acquisition processing flow shown in FIG.

[0103] Returning to the biometric information acquisition process flow shown in Fig. 19, the correlation degree calculation unit 124 executes the correlation degree calculation process (step S230) Fig. 22 is a sub-flowchart showing an example of the correlation degree calculation process according to the second embodiment.

[0104] The correlation calculation unit 124 calculates the correlation Cor(k,l) using the above formula (11) with q=q+1 (step S231), p=p+1 (step S232), n=n+1 (step S233), and m=m+1 (step S234).The correlation calculation unit 124 then determines whether the calculated correlation Cor(k,l) is equal to or greater than the maximum correlation Cormax (step S235).

[0105] If the correlation degree Cor(k,l) is equal to or greater than the maximum correlation degree Cormax (step S235; Yes), the index value of the first signal S1(m,n) and the second signal S2(p,q) corresponding to the correlation degree Cor(k,l) is held (step S236a), the correlation degree Cor(k,l) of the first signal S1(m,n) and the second signal S2(p,q) is updated as the maximum correlation degree Cormax (Cormax=Cor(k,l), step S236b), and the process proceeds to step S237. If the correlation degree Cor(k,l) is less than the maximum correlation degree Cormax (step S235; No), the maximum correlation degree Cormax is not updated and the process proceeds to step S237.

[0106] The correlation calculation unit 124 determines whether m=M (step S237), and if m=M is ​​not true (step S237; No), repeats the processing from step S234 onward. If m=M is ​​true (step S237; Yes), the correlation calculation unit 124 resets the variable m of the division number M in the distance direction (m=0, step S238).

[0107] Next, the correlation calculation unit 124 determines whether or not n=N (step S239), and if n=N is not true (step S239; No), repeats the processing from step S233 onward. If n=N is true (step S239; Yes), the correlation calculation unit 124 resets the variable n of the number of divisions N in the angle direction (n=0, step S240).

[0108] Next, the correlation calculation unit 124 determines whether p=P (step S241), and if p=P is not true (step S241; No), it repeats the processes from step S232 onward. If p=P is true (step S241; Yes), the correlation calculation unit 124 resets the variable p of the division number P in the distance direction (p=0, step S242).

[0109] Next, the correlation calculation unit 124 determines whether or not q=Q (step S243), and if q=Q is not true (step S243; No), it repeats the processes from step S231 onward. If q=Q is true (step S243; Yes), the correlation calculation unit 124 resets the variable q of the number of divisions Q in the angle direction (q=0, step S244), and returns to the biometric information acquisition process flow shown in FIG.

[0110] Returning to the biometric information acquisition process flow shown in Fig. 19, the disturbance removal unit 125 extracts the first signal S1(m,n) by referring to the index value held by the correlation calculation unit 124, and calculates the displacement component d1(t) of the first signal S1(m,n) by using the above formula (2). The disturbance removal unit 125 also extracts the second signal S2(p,q) by referring to the index value held by the correlation calculation unit 124, and calculates the displacement component d2(t) of the second signal S2(p,q) by using the above formula (4).

[0111] Then, the disturbance removal unit 125 acquires the synthetic signal 2d(t) obtained by adding the calculated displacement component d1(t) and the displacement component d2(t) using the above equation (8) as the biological signal of the subject 100, from which biological information is to be acquired (step S250), and terminates the biological signal acquisition process.

[0112] (Modification) Fig. 23 is a block diagram showing a schematic configuration of a biometric information acquiring system according to a first modified example of embodiment 2. Fig. 24 is a block diagram showing a schematic configuration of a biometric information acquiring system according to a second modified example of embodiment 2.

[0113] In the biometric information acquiring system 1d according to the first modification of the second embodiment, as shown in Fig. 23, it is also possible to adopt a configuration of a transceiver unit 11a instead of the transceiver unit 11 in the configuration of the biometric information acquiring system 1c according to the second embodiment. Also, in the biometric information acquiring system 1e according to the second modification of the second embodiment, as shown in Fig. 24, it is also possible to adopt a configuration of a transceiver unit 11b instead of the transceiver unit 11 in the configuration of the biometric information acquiring system 1c according to the second embodiment.

[0114] The above-described embodiment is for facilitating understanding of the present disclosure, and is not intended to limit the present disclosure. The present disclosure may be modified or improved without departing from the spirit of the present disclosure, and equivalents thereof are also included in the present disclosure.

[0115] The present disclosure can have the following configuration as described above or instead of the above.

[0116] (1) A biometric information acquisition system according to one aspect of the present disclosure includes a transceiver that radiates radio waves from a first direction toward a biometric information acquisition target, receives reflected waves of the radio waves, and acquires a first signal for each bin defined by a distance and an angle in a first region corresponding to the first direction, and radiates radio waves from a second direction different from the first direction toward the biometric information acquisition target, receives reflected waves of the radio waves, and acquires a second signal for each bin defined by a distance and an angle in a second region corresponding to the second direction, and a displacement component calculation unit that acquires as a biometric signal of the biometric information acquisition target a composite signal obtained by adding displacement components of the first and second signals that maximize a correlation between predetermined features extracted from the first and second signals.

[0117] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation.

[0118] (2) In the biometric information acquisition system of (1) above, the transceiver unit includes a first radar that radiates radio waves from the first direction toward the biometric information acquisition target and receives the reflected waves of the radio waves to acquire the first signal, and a second radar that radiates radio waves from the second direction toward the biometric information acquisition target and receives the reflected waves of the radio waves to acquire the second signal, and the first radar and the second radar are arranged on either side of the biometric information acquisition target.

[0119] (3) In the biometric information acquisition system of (1) above, the transceiver unit includes a radar that emits radio waves and a reflector that reflects the radio waves, the radar and the reflector are arranged on either side of the biometric information acquisition target, and the radar receives the reflected waves of the radio waves reflected by the biometric information acquisition target to acquire the first signal, and receives the reflected waves of the radio waves reflected by the reflector to acquire the second signal.

[0120] (4) In the biometric information acquisition system of (1) above, the transceiver unit includes a radar that emits radio waves, and a first reflector and a second reflector that reflect the radio waves, the first reflector and the second reflector are arranged on either side of the biometric information acquisition target, and the radar receives the reflected wave of the radio waves reflected by the first reflector to acquire the first signal, and receives the reflected wave of the radio waves reflected by the second reflector to acquire the second signal.

[0121] (5) In the bioinformation acquisition system of (1) to (4) above, the biosignal generation unit includes a first correlation calculation unit that extracts a first signal having a maximum correlation between an amplitude component and a phase component from among first signals corresponding to a plurality of bins in the first region, a second correlation calculation unit that extracts a second signal having a maximum correlation between an amplitude component and a phase component from among second signals corresponding to a plurality of bins in the second region, a first displacement component calculation unit that calculates a displacement component of the first signal extracted by the first correlation calculation unit, a second displacement component calculation unit that calculates the displacement component of the second signal extracted by the second correlation calculation unit, and a disturbance removal unit that acquires a synthetic signal obtained by adding the displacement component of the first signal calculated by the first displacement component calculation unit and the displacement component of the second signal calculated by the second displacement component calculation unit as the biosignal of the bioinformation acquisition target.

[0122] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation.

[0123] (6) In the bioinformation acquisition system of (1) to (4) above, the bioinformation generation unit includes a first displacement component calculation unit that calculates a first displacement component by removing an average value of a displacement component from a displacement component of a first signal corresponding to a plurality of bins in the first region, a second displacement component calculation unit that calculates a second displacement component by removing an average value of a displacement component from a displacement component of a second signal corresponding to a plurality of bins in the second region and inverting its sign, a correlation calculation unit that extracts a first signal and a second signal of a combination of the first displacement component and the second displacement component that has the maximum correlation with each other from combinations of the first displacement component and the second displacement component, and a disturbance removal unit that acquires a synthetic signal by adding the displacement components of the first signal and the second signal extracted by the correlation calculation unit as the bioinformation of the bioinformation acquisition target.

[0124] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation.

[0125] (7) A biometric information acquisition method according to one aspect of the present disclosure includes a first signal acquisition step of emitting radio waves from a first direction to a biometric information acquisition target, receiving reflected waves of the radio waves, and acquiring a first signal for each bin defined by a distance and an angle in a first region corresponding to the first direction, a second signal acquisition step of emitting radio waves from a second direction different from the first direction to the biometric information acquisition target, receiving reflected waves of the radio waves, and acquiring a second signal for each bin defined by a distance and an angle in a second region corresponding to the second direction, and a biometric signal acquisition step of acquiring a composite signal obtained by adding displacement components of the first and second signals that maximize the correlation between predetermined features extracted from the first and second signals as the biometric signal of the biometric information acquisition target.

[0126] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation.

[0127] (8) In the bioinformation acquisition method of (7) above, the biosignal acquisition step includes a first step of extracting a first signal having a maximum correlation between an amplitude component and a phase component from among first signals corresponding to a plurality of bins in the first region, a second step of extracting a second signal having a maximum correlation between an amplitude component and a phase component from among second signals corresponding to a plurality of bins in the second region, a third step of calculating a displacement component of the first signal extracted in the first step, a fourth step of calculating a displacement component of the second signal extracted in the second step, and a fifth step of acquiring a synthetic signal by adding the displacement component of the first signal calculated in the third step and the displacement component of the second signal calculated in the fourth step as the biosignal of the bioinformation acquisition target.

[0128] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation.

[0129] (9) In the bioinformation acquisition method of (7) above, the biosignal acquisition step includes a first step of calculating a first displacement component by removing an average value of the displacement component from the displacement component of a first signal corresponding to a plurality of bins in the first region; a second step of calculating a second displacement component by removing an average value of the displacement component and inverting its sign from the displacement component of a second signal corresponding to a plurality of bins in the second region; a third step of extracting a first signal and a second signal that are a combination of the first displacement component and the second displacement component that have the maximum correlation with each other from among combinations of the first displacement component and the second displacement component; and a fourth step of acquiring a synthetic signal by adding the extracted displacement components of the first signal and the second signal as the biosignal of the bioinformation acquisition target.

[0130] In this configuration, it is possible to extract the displacement components of the first signal and the second signal, which contain more displacement components caused by vital signs such as breathing and heart rate, from the first signal of multiple bins acquired by the reflected wave from the first direction and the second signal of multiple bins acquired by the reflected wave from the second direction. Then, by adding the extracted displacement components of the first signal and the second signal, it is possible to obtain a biosignal from which the body movement components caused by the movement of the bioinformation acquisition subject have been removed. This makes it possible to improve the accuracy of acquiring the bioinformation.

[0131] According to the present disclosure, it is possible to realize a biometric information acquiring system and a biometric information acquiring method that can improve the accuracy of acquiring biometric information. [Explanation of symbols]

[0132] 1,1a,1b,1c,1d,1e Biometric information acquisition system 2a,2b bottle 11, 11a, 11b Transmitter / receiver 12, 12a Biosignal Generator 100 subjects 111 Radar 111a 1st radar 111b Second Radar 112 Reflector 112a First reflector 112b Second reflector 121a first correlation degree calculation unit 121b second correlation degree calculation unit 122a first displacement component calculation unit 122b second displacement component calculation unit 123a First displacement component calculation unit 123b Second displacement component calculation unit 124 Correlation calculation unit 125 Disturbance Rejection Section

Claims

1. a transceiver unit that radiates radio waves from a first direction toward a biometric information acquisition target, receives reflected waves of the radio waves, and acquires a first signal for each bin defined by a distance and an angle in a first region corresponding to the first direction, and radiates radio waves from a second direction different from the first direction toward the biometric information acquisition target, receives reflected waves of the radio waves, and acquires a second signal for each bin defined by a distance and an angle in a second region corresponding to the second direction; a biosignal generating unit that acquires, as the biosignal of the bioinformation acquisition target, a composite signal obtained by adding displacement components of the first signal and the second signal that maximize a correlation between a predetermined feature amount extracted from the first signal and the second signal; Equipped with Biometric information acquisition system.

2. The biometric information acquisition system according to claim 1 , The transmitting / receiving unit is a first radar that radiates radio waves from the first direction toward the biometric information acquisition target and receives a reflected wave of the radio waves to acquire the first signal; a second radar that radiates radio waves from the second direction toward the biological information acquisition target and receives a reflected wave of the radio waves to acquire the second signal; Equipped with The first radar and the second radar are disposed on either side of the biological information acquisition target. Biometric information acquisition system.

3. The biometric information acquisition system according to claim 1 , The transmitting / receiving unit is A radar that emits radio waves; A reflector that reflects radio waves; Equipped with The radar and the reflector are disposed on either side of the biometric information acquisition target, The radar includes: receiving a reflected wave of the radio wave reflected by the biological information acquisition target to acquire the first signal, and receiving a reflected wave of the radio wave reflected by the reflector to acquire the second signal. Biometric information acquisition system.

4. The biometric information acquisition system according to claim 1 , The transmitting / receiving unit is A radar that emits radio waves; a first reflector and a second reflector that reflect radio waves; Equipped with the first reflector and the second reflector are disposed to sandwich the biometric information acquisition target, The radar includes: receiving a reflected wave of the radio wave reflected by the first reflector to obtain the first signal, and receiving a reflected wave of the radio wave reflected by the second reflector to obtain the second signal; Biometric information acquisition system.

5. The biometric information acquisition system according to any one of claims 2 to 4, The biological signal generating unit includes: a first correlation calculation unit that extracts a first signal having a maximum correlation between an amplitude component and a phase component from among first signals corresponding to a plurality of bins in the first region; a second correlation calculation unit that extracts a second signal having a maximum correlation between an amplitude component and a phase component from among second signals corresponding to a plurality of bins in the second region; a first displacement component calculation unit that calculates a displacement component of the first signal extracted by the first correlation degree calculation unit; a second displacement component calculation unit that calculates a displacement component of the second signal extracted by the second correlation degree calculation unit; a disturbance removal unit that acquires, as a biosignal of the bioinformation acquisition target, a composite signal obtained by adding together a displacement component of the first signal calculated by the first displacement component calculation unit and a displacement component of the second signal calculated by the second displacement component calculation unit; Equipped with Biometric information acquisition system.

6. The biometric information acquisition system according to any one of claims 2 to 4, The biological signal generating unit includes: a first displacement component calculation unit that calculates a first displacement component by removing an average value of the displacement components of a first signal corresponding to a plurality of bins in the first region; a second displacement component calculation unit that calculates a second displacement component by removing an average value of the displacement components from the displacement components of the second signal corresponding to the multiple bins in the second region and inverting the sign of the displacement components; a correlation calculation unit that extracts a first signal and a second signal of a combination that has a maximum correlation between the first displacement component and the second displacement component from among the combinations of the first displacement component and the second displacement component; a disturbance remover that acquires a composite signal by adding together the displacement components of the first signal and the second signal extracted by the correlation degree calculator as a biosignal of the bioinformation acquisition target; Equipped with Biometric information acquisition system.

7. a first signal acquisition step of emitting radio waves from a first direction toward a biometric information acquisition target, receiving reflected waves of the radio waves, and acquiring first signals for each bin defined by distance and angle in a first region corresponding to the first direction; a second signal acquisition step of emitting radio waves to the biometric information acquisition target from a second direction different from the first direction, receiving reflected waves of the radio waves, and acquiring second signals for each bin defined by a distance and an angle in a second region corresponding to the second direction; a biosignal acquisition step of acquiring, as the biosignal of the bioinformation acquisition target, a composite signal obtained by adding together displacement components of the first signal and the second signal that maximize a correlation between predetermined features extracted from the first signal and the second signal; having Method of acquiring biometric information.

8. The biometric information acquisition method according to claim 7, The biological signal acquiring step includes: A first step of extracting a first signal having a maximum correlation between an amplitude component and a phase component from among first signals corresponding to a plurality of bins in the first region; a second step of extracting a second signal having a maximum correlation between an amplitude component and a phase component from among second signals corresponding to a plurality of bins in the second region; a third step of calculating a displacement component of the first signal extracted in the first step; a fourth step of calculating a displacement component of the second signal extracted in the second step; a fifth step of acquiring a composite signal obtained by adding the displacement component of the first signal calculated in the third step and the displacement component of the second signal calculated in the fourth step as a biosignal of the bioinformation acquisition target; Including, Method of acquiring biometric information.

9. The biometric information acquisition method according to claim 7, The biological signal acquiring step includes: a first step of calculating a first displacement component by removing an average value of the displacement components of a first signal corresponding to a plurality of bins in the first region; a second step of calculating a second displacement component obtained by removing an average value of the displacement components and inverting the sign from the displacement components of the second signal corresponding to the multiple bins in the second region; a third step of extracting a first signal and a second signal of a combination that has a maximum correlation with each other from among combinations of the first displacement component and the second displacement component; a fourth step of acquiring a composite signal obtained by adding together the extracted displacement components of the first signal and the second signal as a biosignal of the bioinformation acquisition target; Including, Method of acquiring biometric information.

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