Respiration detection system

Abstract

To detect a respiration movement with a high degree of precision regardless of a subject.SOLUTION: A respiration detection system 1 includes an acceleration sensor 11, a pressure sensor 12, a posture determination part 22, and a respiration movement detection part 23. The acceleration sensor 11 measures an acceleration at a detection position of a respiration movement, and outputs acceleration measurement data. The pressure sensor 12 measures pressure at the detection position of the respiration movement, and outputs pressure measurement data. The posture determination part 22 determines the posture of a subject on the basis of the acceleration measurement data. The respiration movement detection part 23 detects a respiration movement on the basis of the acceleration measurement data or the pressure measurement data. The posture determination part 22 determines lying face down of the subject as one kind of the postures. The respiration movement detection part 23 detects the respiration movement on the basis of the acceleration measurement data when the posture is not lying face down. The respiration movement detection part 23 detects the respiration movement on the basis of the pressure measurement data when the posture is lying face down.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to techniques for detecting breathing in infants. [Background technology]

[0002] A breathing detection device is described in Patent Document 1. The breathing detection device of Patent Document 1 includes a pressure sensor, and detects breathing based on the output value of the pressure sensor. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2012 / 165427 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the breathing detection device as disclosed in Patent Document 1, the accuracy of detecting breathing movements may be reduced depending on the state in which the breathing detection device is attached to the subject and the posture of the subject.

[0005] In particular, when the subject is an infant or small child, it is difficult for the subject to consciously maintain the same posture, and the accuracy of detecting breathing movements is likely to decrease.

[0006] An object of the present invention is to provide a breathing detection device that can detect breathing with high accuracy regardless of the posture of the subject. [Means for solving the problem]

[0007] A breathing detection system according to one embodiment of the present invention is attached to the skin of a subject to detect the subject's breathing. The breathing detection system includes an acceleration sensor, a pressure sensor, a posture determination unit, and a breathing detection unit.

[0008] The acceleration sensor measures the acceleration at the position where breathing is detected and outputs acceleration measurement data. The pressure sensor measures the pressure at the position where breathing is detected and outputs pressure measurement data. The posture determination unit determines the posture of the subject based on the acceleration measurement data. The breathing detection unit detects breathing based on the acceleration measurement data or the pressure measurement data. The posture determination unit determines that the subject is lying face down as one type of posture.

[0009] The breathing detection unit detects breathing based on the acceleration measurement data when the patient is not in a prone position, and detects breathing based on the pressure measurement data when the patient is in a prone position.

[0010] In this configuration, data used to detect breathing is selected depending on whether the subject is lying face down or not. When not lying face down, the chest is not pressed down, and chest surface displacement due to breathing is not suppressed. In this position, the acceleration sensor is less affected by the state in which it is attached to the subject than a pressure sensor. Therefore, breathing is detected with high accuracy using the acceleration sensor. When lying face down, the chest is pressed down, and chest surface displacement due to breathing is suppressed. In this position, the detection value of the acceleration sensor is small, so the pressure sensor can detect breathing with high accuracy compared to an acceleration sensor. [Effects of the Invention]

[0011] According to the present invention, breathing can be detected with high accuracy regardless of the posture of the subject. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is a functional block diagram showing an example of a breathing detection system according to an embodiment of the present invention. [Figure 2] 2(A), 2(B), and 2(C) are diagrams showing an example of the structure of a wearable device of a breathing detection system according to an embodiment of the present invention. [Figure 3]3(A) and 3(B) are diagrams showing an example of how the wearable device is attached to a subject. [Figure 4] FIG. 4 is a diagram showing postures detected by the breathing detection system. [Figure 5] FIG. 5 is a diagram showing the relationship between various postures and measurement data used for posture determination and respiratory movement detection. [Figure 6] FIG. 6 is a flowchart showing an example of a respiratory condition detection method according to an embodiment of the present invention. [Figure 7] FIG. 7 is a table showing an example of the relationship between the state of an infant, the value of the acceleration measurement data Sa, the value of the pressure measurement data Sp, and the risk determination result. [Figure 8] FIG. 8 is a flowchart showing an example of a risk determination method according to an embodiment of the present invention. [Figure 9] FIG. 9 is a flowchart showing an example of a risk determination method according to an embodiment of the present invention. [Figure 10] FIG. 10 is a functional block diagram showing an example of another aspect of the breathing detection system according to the embodiment of the present invention. [Figure 11] FIG. 11 is a functional block diagram showing an example of the functional configuration of an information communication terminal according to an embodiment of the present invention. [Figure 12] 12(A) and 12(B) are diagrams showing examples of screens of a childcare application executed on an information communication terminal. DETAILED DESCRIPTION OF THE INVENTION

[0013] A breathing detection system according to an embodiment of the present invention will be described with reference to the drawings.

[0014] (Functional configuration of breath detection system 1) FIG. 1 is a functional block diagram showing an example of a breathing detection system according to an embodiment of the present invention.

[0015] 1, the breathing detection system 1 includes a wearable device 10 and a gateway device 20. The wearable device 10 includes an acceleration sensor 11, a pressure sensor 12, a device control unit 13, a battery 14, and a device antenna ANT1. The acceleration sensor 11 and the pressure sensor 12 are connected to the device control unit 13. The device control unit 13 is connected to the device antenna ANT1.

[0016] The battery 14 is connected to the acceleration sensor 11, the pressure sensor 12, and the device control unit 13, and supplies power to the acceleration sensor 11, the pressure sensor 12, and the device control unit 13.

[0017] The acceleration sensor 11 measures the acceleration of three orthogonal axes at the position where breathing movement is detected on the subject wearing the wearable device 10, generates acceleration measurement data Sa, and outputs it to the device control unit 13.

[0018] The pressure sensor 12 measures the pressure at the position where breathing is detected, generates pressure measurement data Sp, and outputs it to the device control unit 13.

[0019] The device control unit 13 generates measurement result data by combining the synchronously obtained acceleration measurement data Sa and pressure measurement data Sp. The device control unit 13 transmits the measurement result data to the gateway device 20 via the device antenna ANT1.

[0020] The gateway device 20 includes a gateway antenna ANT21, a communication control unit 21, a posture determination unit 22, a breathing movement detection unit 23, a state determination unit 24, and a notification unit 25.

[0021] The gateway antenna ANT21 receives the measurement result data transmitted from the device antenna ANT1 of the wearable device 10 and outputs it to the communication control unit 21.

[0022] The communication control unit 21 demodulates the measurement result data to obtain acceleration measurement data Sa and pressure measurement data Sp. The communication control unit 21 outputs the acceleration measurement data Sa to the posture determination unit 22, the breathing movement detection unit 23, and the state determination unit 24. The communication control unit 21 outputs the pressure measurement data Sp to the breathing movement detection unit 23 and the state determination unit 24.

[0023] The posture determination unit 22 determines the posture of the subject based on the acceleration measurement data Sa of the three orthogonal axes. The posture determination unit 22 determines the type of posture as being prone, facing up, or sideways. Note that the posture determination unit 22 may determine the type of posture as being prone or a position other than prone.

[0024] The posture determining unit 22 outputs the determined type of posture to the breathing movement detecting unit 23 and the state determining unit 24.

[0025] When the posture is not prone, the respiratory movement detection unit 23 detects respiratory movement based on the acceleration measurement data Sa. When the posture is prone, the respiratory movement detection unit 23 detects respiratory movement based on the pressure measurement data Sp. Respiratory movement includes at least detection of one breath and may also include, for example, the number of breaths per predetermined time.

[0026] The breathing movement detection unit 23 outputs the breathing movement detection result to the state determination unit 24 .

[0027] The state determination unit 24 determines whether the subject's breathing is in an abnormal state or a normal state based on the acceleration measurement data Sa and the pressure measurement data Sp. At this time, the state determination unit 24 may determine whether the subject's breathing is in an abnormal state or a normal state based on the type of posture determined by the posture determination unit 22 and the breathing detected by the breathing detection unit 23.

[0028] Abnormal breathing refers to a state in which the subject is experiencing difficulty breathing, is unable to breathe, or is on the verge of experiencing difficulty breathing, whereas normal breathing refers to a state in which the subject is breathing normally or is unlikely to experience difficulty breathing.

[0029] The state determination unit 24 outputs the determination result of whether the state is abnormal or normal to the notification unit 25 .

[0030] The notification unit 25 notifies the determination result. More specifically, for example, if the notification unit 25 has a display function, it displays the determination result. Furthermore, if the notification unit 25 has a communication function, it transmits the determination result to an external cloud server, information communication terminal, or the like.

[0031] The notification unit 25 can also notify the type of posture determined by the posture determination unit 22 and the breathing movement detected by the breathing movement detection unit 23.

[0032] (Structure of wearable device 10) 2(A), 2(B), and 2(C) are diagrams showing an example of the structure of a wearable device of a breathing detection system according to an embodiment of the present invention, where Fig. 2(A) is a plan view, Fig. 2(B) is a cross-sectional plan view, and Fig. 2(C) is a cross-sectional side view.

[0033] As shown in Figures 2(A), 2(B), and 2(C), the wearable device 10 includes a housing 100, an acceleration sensor 11, a pressure sensor 12, a device control unit 13, a battery 14, a device antenna ANT1, and a circuit board P100.

[0034] The housing 100 has a rectangular parallelepiped shape with an internal space and has a bottom wall B100.

[0035] The acceleration sensor 11, device control unit 13, and device antenna ANT1 are configured by mounted electronic components, ICs, etc. The acceleration sensor 11, device control unit 13, and device antenna ANT1 are mounted on a circuit board P100.

[0036] The circuit board P100 on which the acceleration sensor 11, the device control unit 13, and the device antenna ANT1 are mounted is disposed in the internal space of the housing 100.

[0037] The pressure sensor 12 is, for example, in the form of a flat membrane. The pressure sensor 12 is disposed on the inner space side of the bottom wall B100 of the housing 100. The position where the pressure sensor 12 is disposed is not limited to the inner space side of the bottom wall B100, but may be outside the bottom wall B100 or on a ceiling wall opposite the bottom wall B100.

[0038] (Attaching the wearable device 10 to the subject) 3(A) and 3(B) are diagrams showing an example of how a wearable device is attached to a subject. In FIGS. 3(A) and 3(B), an infant is shown as the subject, but the subject is not limited to infants. However, the present invention is more effective when the subject is someone who has difficulty consciously maintaining their posture, such as an infant.

[0039] The wearable device 10 is worn near the solar plexus 91 of the infant 90, near the lower part of the ribs 91. In this case, the wearable device 10 is worn either below the left rib 91 or below the right rib 91.

[0040] In other words, the wearable device 10 is attached to the infant 90 in the vicinity of the diaphragm and at a position off the center line of the front when viewed from the front.

[0041] In this case, for example, the three axes of acceleration measured by the acceleration sensor 11 of the wearable device 10 are set so that the x-axis direction is the horizontal direction of the body of the infant 90, the y-axis direction is the vertical direction of the body of the infant 90, and the z-axis direction is a direction perpendicular to the body surface of the infant 90.

[0042] Furthermore, the wearable device 10 is positioned so that the bottom wall B100 abuts against the chest-side surface of the infant 90. As a result, when the infant 90 is lying face down, as described below, the pressure from the infant 90 is transmitted to the housing 100, and stress is likely to be applied to the location where the pressure sensor 12 is located. Therefore, the pressure from the infant 90 is likely to cause the pressure measurement data Sp to fluctuate significantly.

[0043] (Relationship between posture and acceleration measurement data Sa and pressure measurement data Sp) Fig. 4 shows postures detected by the breathing detection system. Fig. 5 shows the relationship between various postures and measurement data used for posture determination and breathing movement detection. Fig. 5 also describes pressure state determination, which can be used to determine abnormal states.

[0044] 4, the postures of the infant 90 detected by the breathing detection system 1 include lying on the back, lying on the side, and lying face down. Note that lying on the side includes lying on the left and lying on the right.

[0045] When lying on its back, the baby 90 has its chest on the upper side in the vertical direction and its back on the lower side in the vertical direction.

[0046] When lying on its side, the baby 90's chest and back are approximately parallel to the vertical direction, with the right side facing downwards in the vertical direction and the left side facing upwards in the vertical direction, or the left side facing downwards in the vertical direction and the right side facing upwards in the vertical direction.

[0047] When lying face down, the chest of the infant 90 is on the lower side in the vertical direction, and the back is on the upper side in the vertical direction.

[0048] Such posture types are determined by the value of the acceleration measurement data Sa, as shown in Figure 5. For example, if acceleration sensor 11 is attached and set as shown in Figures 3(A) and 3(B), when lying on one's back, the z-axis acceleration will be a negative value, and the x-axis acceleration and y-axis acceleration will be approximately 0. When lying face down, the z-axis acceleration will be a positive value, and the x-axis acceleration and y-axis acceleration will be approximately 0. When lying sideways to the right, the x-axis acceleration will be a negative value, and the y-axis acceleration and z-axis acceleration will be approximately 0. When lying sideways to the left, the x-axis acceleration will be a positive value, and the y-axis acceleration and z-axis acceleration will be approximately 0.

[0049] In this way, the combinations of x-axis acceleration, y-axis acceleration, and z-axis acceleration differ depending on whether the person is lying on their back, face down, to the right, or to the left, so the posture can be determined from the acceleration measurement data Sa.

[0050] When lying on the back or side, the chest of the infant 90 (the position where the subject's breathing is detected) is not pressed down, and therefore, changes in the acceleration measurement data Sa due to the breathing of the infant 90 are not suppressed (hindered).

[0051] Therefore, when the subject is lying on his / her back or side, the breathing movement detection unit 23 detects breathing movement based on the acceleration measurement data Sa. When the subject is lying on his / her back or side, changes in the acceleration measurement data Sa due to breathing movement are not suppressed (impeded), so the breathing movement detection unit 23 can detect breathing movement more reliably and accurately when the subject is lying on his / her back or side.

[0052] When infant 90 is lying face down, wearable device 10 is sandwiched between infant 90 and the floor or bed. This inhibits movement of the chest and the area around the diaphragm. This inhibits (inhibits) changes in acceleration measurement data Sa due to breathing of infant 90.

[0053] On the other hand, breathing changes the pressure generated between the infant 90 and the floor or bed. Therefore, when the infant is lying face down, the breathing detection unit 23 detects breathing based on the pressure measurement data Sp. This allows the breathing detection unit 23 to detect breathing when the infant is lying face down more reliably and accurately.

[0054] The state of compression of the chest and diaphragm can be determined from the pressure measurement data Sp whether the patient is lying on their back, side, or stomach.

[0055] (Respiratory status detection method) Using the above configuration and concept, the breathing detection system 1 detects the breathing state by the method shown in the following flowchart, for example. Fig. 6 is a flowchart showing an example of a breathing state detection method according to an embodiment of the present invention. Note that the specific contents of each process shown in the flowchart of Fig. 6 have been described above, and explanations will be omitted except for points where additional explanation is necessary.

[0056] The acceleration sensor 11 measures the acceleration of the position (chest, near the diaphragm) where the breathing of the infant 90 is detected, and generates acceleration measurement data Sa (S11). The pressure sensor 12 measures the pressure of the position (chest, near the diaphragm) where the breathing of the infant 90 is detected, and generates pressure measurement data Sp (S12).

[0057] The posture determining unit 22 determines the posture of the baby 90 based on the acceleration measurement data Sa (S13).

[0058] If the posture is not face down (S14: NO), the breathing movement detection unit 23 detects breathing movement based on the acceleration measurement data Sa (S15).

[0059] If the posture is face down (S14: YES), the breathing detector 23 detects breathing based on the pressure measurement data Sp (S16).

[0060] As described above, the breathing detection system 1 can detect breathing with high accuracy regardless of the subject and the subject's posture.

[0061] (Abnormal state determination) FIG. 7 is a table showing an example of the relationship between the state of an infant, the value of the acceleration measurement data Sa, the value of the pressure measurement data Sp, and the risk determination result.

[0062] The state of the infant is classified into, for example, "normal," "weak pressure," "moderate pressure," "occluded," "strong pressure," and "prone." Note that, except for "prone," the state is not dependent on the infant's position.

[0063] "Normal" refers to a state in which the infant is breathing normally with almost no external pressure. In this case, the value of the acceleration measurement data Sa is "large" and the value of the pressure measurement data Sp is "small."

[0064] "Weak pressure" refers to a state in which the pressure is such that the infant can breathe with almost no strain, due to the influence of the tension of the clothing worn by the infant. In this case, the value of the acceleration measurement data Sa is "medium," and the value of the pressure measurement data Sp is "medium."

[0065] In these "normal" and "weak compression" states, breathing can be continued, and the determination result can be defined as a "normal state."

[0066] "Medium pressure" refers to a state in which the chest is being pressured by another person to the extent that breathing is possible. In this case, the value of the acceleration measurement data Sa is "large" and the value of the pressure measurement data Sp is "large."

[0067] "Occluded" is a state in which breathing is difficult for an infant because their mouth and nose are covered with a cloth, etc. In this case, the value of the acceleration measurement data Sa is "small" and the value of the pressure measurement data Sp is "small."

[0068] "Strong pressure" is a state in which breathing is impossible due to strong external pressure. In this case, the value of the acceleration measurement data Sa becomes "none (0)" and the value of the pressure measurement data Sp becomes "large."

[0069] "Prone" refers to the prone state described above. In this case, the value of the acceleration measurement data Sa is "none (0)" and the value of the pressure measurement data Sp is "large."

[0070] These conditions, "moderate pressure," "occluded," "strong pressure," and "prone," mean that the patient is unable to breathe or has difficulty breathing continuously, and therefore can be defined as an "abnormal state" as a judgment result.

[0071] (Method 1 for determining abnormal conditions) Fig. 8 is a flowchart showing an example of a risk determination method according to an embodiment of the present invention. Note that the specific contents of each process shown in the flowchart of Fig. 8 have been described above, and explanations will be omitted except for points requiring additional explanation.

[0072] The acceleration sensor 11 measures the acceleration of the position (chest, near the diaphragm) where the breathing of the infant 90 is detected, and generates acceleration measurement data Sa (S21). The pressure sensor 12 measures the pressure of the position (chest, near the diaphragm) where the breathing of the infant 90 is detected, and generates pressure measurement data Sp (S22).

[0073] The state determination unit 24 sets a pressure threshold value THp for the pressure measurement data Sp and an acceleration threshold value THa for the acceleration measurement data Sa. The pressure threshold value THp is set between the "large" and "medium" values ​​of the pressure measurement data Sp shown in FIG. 7. The acceleration threshold value THa is set between the "large" and "medium" values ​​of the acceleration measurement data Sa shown in FIG. 7.

[0074] If the value of the acceleration measurement data Sa is less than the acceleration threshold value THa (S23: NO), the state determination unit 24 determines that an abnormal state exists (S26).

[0075] If the value of the acceleration measurement data Sa is equal to or greater than the acceleration threshold value THa (S23: YES) and the value of the pressure measurement data Sp is equal to or greater than the pressure threshold value THp (S24: NO), the state determination unit 24 determines that an abnormal state exists (S26).

[0076] The state determination unit 24 determines that the state is normal when the value of the acceleration measurement data Sa is equal to or greater than the acceleration threshold value THa and the value of the pressure measurement data Sp is less than the pressure threshold value THp.

[0077] This allows the breathing detection system 1 to determine whether the breathing of the subject (for example, the baby 90) is in an abnormal state or a normal state.

[0078] (Abnormal state determination method 2) Fig. 9 is a flowchart showing an example of a risk determination method according to an embodiment of the present invention. Note that the specific contents of each process shown in the flowchart of Fig. 9 have been described above, and explanations will be omitted except for points requiring additional explanation.

[0079] The abnormal state determination method shown in FIG. 9 is a method for further classifying abnormal states into multiple types in contrast to the abnormal state determination method shown in FIG.

[0080] The acceleration sensor 11 measures the acceleration of the position (chest, near the diaphragm) where the breathing of the infant 90 is detected, and generates acceleration measurement data Sa (S21). The pressure sensor 12 measures the pressure of the position (chest, near the diaphragm) where the breathing of the infant 90 is detected, and generates pressure measurement data Sp (S22).

[0081] The state determination unit 24 sets a pressure threshold value THp for the pressure measurement data Sp and an acceleration threshold value THa for the acceleration measurement data Sa. The pressure threshold value THp is set between the "large" and "medium" values ​​of the pressure measurement data Sp shown in FIG. 7. The acceleration threshold value THa is set between the "large" and "medium" values ​​of the acceleration measurement data Sa shown in FIG. 7.

[0082] Furthermore, the state determination unit 24 sets a state classification pressure threshold value THpc as a threshold value of the pressure measurement data Sp for classifying abnormal states. The state classification pressure threshold value THpc is set between the values ​​of "medium" and "low" of the pressure measurement data Sp shown in FIG.

[0083] The state determination unit 24 further classifies the abnormal state based on the state classification pressure threshold value THpc and the posture.

[0084] Specifically, if the value of the acceleration measurement data Sa is less than the acceleration threshold THa (S23: NO) and the value of the pressure measurement data Sp is less than the pressure threshold THpc for state classification (S27: YES), the state determination unit 24 determines that the state is abnormal (blocked) (S262).

[0085] If the value of the acceleration measurement data Sa is less than the acceleration threshold THa (S23: NO), the value of the pressure measurement data Sp is greater than or equal to the pressure threshold THpc for state classification (S27: NO), and the posture is prone (S28: YES), the state determination unit 24 determines that the state is abnormal (prone) (S263).

[0086] If the value of the acceleration measurement data Sa is less than the acceleration threshold THa (S23: NO), the value of the pressure measurement data Sp is greater than or equal to the pressure threshold THpc for state classification (S27: NO), and the posture is not prone (S28: NO), the state determination unit 24 determines that the state is abnormal (strong pressure) (S264).

[0087] If the value of the acceleration measurement data Sa is equal to or greater than the acceleration threshold THa (S23: YES) and the value of the pressure measurement data Sp is less than the state classification pressure threshold THpc (S24: YES), the state determination unit 24 determines that the state is normal (S25).

[0088] If the value of the acceleration measurement data Sa is equal to or greater than the acceleration threshold THa (S23: YES) and the value of the pressure measurement data Sp is equal to or greater than the pressure threshold THpc for state classification (S24: NO), the state determination unit 24 determines that the state is abnormal (medium compression) (S261).

[0089] This allows the breathing detection system 1 to determine whether the breathing of the subject (for example, the infant 90) is in an abnormal state or a normal state, and further classify the abnormal state into a plurality of specific states.

[0090] (Functional configuration of breath detection system 1A) FIG. 10 is a functional block diagram showing an example of another aspect of the breathing detection system according to the embodiment of the present invention.

[0091] 10, the breathing detection system 1A includes a wearable device 10, a gateway device 20, a cloud server 30, and an information communication terminal 40. The wearable device 10 and the gateway device 20 of the breathing detection system 1A are similar to the wearable device 10 and the gateway device 20 of the breathing detection system 1A described above, and therefore a description thereof will be omitted.

[0092] The gateway device 20 and the cloud server 30 have a configuration that allows them to communicate with each other. The cloud server 30 and the information communication terminal 40 also have a configuration that allows them to communicate with each other. Although not shown in the figure, the gateway device 20 and the information communication terminal 40 can also communicate directly with each other.

[0093] The gateway device 20 transmits to the cloud server 30 the posture and breathing movement detection results of the subject (for example, the infant 90) and the abnormal state determination results.

[0094] Cloud server 30 stores the posture and breathing movement detection results of the subject (e.g., infant 90) and the abnormal state determination results. Cloud server 30 provides the posture and breathing movement detection results of the subject (e.g., infant 90) and the abnormal state determination results to information communication terminal 40.

[0095] The information communication terminal 40 notifies the posture and breathing movement detection results of the subject (e.g., infant 90) and the determination result of an abnormal state. As a result, the breathing detection system 1A allows, for example, a parent or the like of the subject (e.g., infant 90) to easily know the posture and breathing movement detection results of the subject (e.g., infant 90) and the determination result of an abnormal state through the information communication terminal 40.

[0096] In this case, by providing the detection results of the posture and breathing movement of the subject (e.g., infant 90) and the judgment results of the abnormal state through the cloud server 30, the breathing detection system 1A can notify parents, etc. of the detection results of the posture and breathing movement of the subject (e.g., infant 90) and the judgment results of the abnormal state regardless of the state of the information communication terminal 40.

[0097] More specifically, regardless of whether the running state of an application installed in the information communication terminal 40 that notifies the posture, breathing movement detection results, and abnormal state determination results is in the foreground, background, or terminated state, the breathing detection system 1A can notify parents or others of the posture, breathing movement detection results, and abnormal state determination results of the subject (e.g., infant 90).

[0098] Furthermore, even if real-time notification is not possible due to the power status or settings of the information communication terminal 40, the breathing detection system 1A can notify parents or other persons of the posture and breathing movement detection results of the subject (e.g., infant 90) and the results of determining an abnormal state.

[0099] Furthermore, the posture and breathing movement detection results and abnormal state determination results of the subject (e.g., infant 90) can be provided to multiple information communication terminals 40. As a result, the breathing detection system 1A can notify multiple people, such as parents, relatives, and other related parties, of the posture and breathing movement detection results and abnormal state determination results of the subject (e.g., infant 90).

[0100] (An example of an application using the breath detection system 1A) FIG. 11 is a functional block diagram showing an example of the functional configuration of an information communication terminal according to an embodiment of the present invention.

[0101] As shown in FIG. 11, the information communication terminal 40 includes a terminal antenna ANT40, a communication control unit 41, a calculation unit 42, an operation unit 43, a display unit 44, and a storage unit 45.

[0102] The terminal antenna ANT40 is connected to a communication control unit 41. The communication control unit 41 is connected to a calculation unit 42. The operation unit 43, the display unit 44, and the storage unit 45 are connected to the calculation unit 42. The display unit 44 is configured by a liquid crystal panel or the like. The operation unit 43 is configured by a touch panel or the like.

[0103] The communication control unit 41 receives the posture and breathing movement detection results of the subject (for example, the infant 90) and the abnormal state determination results via the terminal antenna ANT40, and outputs them to the calculation unit .

[0104] The calculation unit 42 reads out and executes a childcare application stored in the storage unit 45, for example.

[0105] The calculation unit 42 also includes an image editing unit 421 and a point calculation unit 422. The image editing unit 421 generates and edits character images used in the childcare application.

[0106] The point calculation unit 422 calculates points based on the posture, breathing movement detection results, and the abnormal or normal state determination results. If points already exist, the point calculation unit 422 adds the points calculated this time to the existing points.

[0107] The calculated points are reflected in the childcare application and are displayed on the screen of the childcare application. Note that the point calculation unit 422 may be located in the cloud server 30. In this case, the calculation unit 42 may receive the points from the cloud server 30.

[0108] The operation unit 43 accepts the selection of an editing item for the character image according to the points. The display unit 44 displays a screen of the childcare application including the character image.

[0109] In this configuration, the image editing unit 421 edits the character image using the editing item selected by the operation unit 43. Then, the edited character image is updated on the screen of the childcare application.

[0110] Figures 12(A) and 12(B) are diagrams showing examples of screens of a childcare application executed on an information communication terminal. Figures 12(A) and 12(B) show different times, and for example, Figure 12(B) shows a state in which the character image has been edited and updated from Figure 12(A).

[0111] 12(A) and 12(B), the screen of the childcare application includes a breathing frequency notification window W441, a rolling over frequency notification window W442, a posture notification window W443, a point notification window W444, and a character image IC 440. Note that the types of notification windows are not limited to these, and any notification window that displays an indicator based on posture, breathing movement detection results, and abnormal state determination results can be used.

[0112] The calculation unit 42 calculates the number of breaths per unit time (for example, the number of breaths per minute) based on the detection result of the breathing movement. The calculation unit 42 displays the calculated number of breaths in the breathing number notification window W441.

[0113] The calculation unit 42 calculates the number of times the user turns over per unit time (for example, the number of times the user turns over per day) based on the posture determination result. The calculation unit 42 displays the calculated number of times the user turns over in a turning over count notification window W442.

[0114] The calculation unit 42 calculates the proportions of various postures based on the posture determination results. The calculation unit 42 displays the calculated proportions of various postures in the posture notification window W443. Note that although the proportions of various postures are shown in a pie chart here, this is not limiting and may be a bar graph or the like.

[0115] By displaying the breathing frequency notification window W441, the rolling frequency notification window W442, and the posture notification window W443, the parent or guardian can easily understand the condition of the subject (for example, the infant 90).

[0116] Although not shown in the figures, when an abnormal state is received, the calculation unit 42 displays, by a pop-up display or the like, that the subject (e.g., infant 90) is in an abnormal state. This allows the childcare application of the information communication terminal 40 to more reliably and immediately notify parents or the like of the abnormal state of the subject (e.g., infant 90). Therefore, parents or the like can more reliably and immediately grasp the abnormal state of the subject (e.g., infant 90).

[0117] The childcare application of information communication terminal 40 can pop up the contents of the breathing count notification window W441, the rolling over count notification window W442, and the posture notification window W443 by selecting them using operation unit 43. This allows the childcare application of information communication terminal 40 to easily provide parents and others with the contents shown in breathing count notification window W441, rolling over count notification window W442, and posture notification window W443. Therefore, parents and others can easily check the contents of each notification window.

[0118] As a result, for example, by referring to the posture notification window W443, the display of the sleeping posture ratio makes it possible to quantify and visualize whether the guardian is diligently correcting the posture of the infant to reduce the risk of SIDS.

[0119] Furthermore, for example, by referring to the respiratory rate notification window W441, the relative or other person can easily understand when the respiratory rate is such that the patient should visit a hospital.

[0120] 12(B), the childcare application of the information communication terminal 40 can highlight abnormal values ​​(numerical values), thereby enabling parents or other relatives to easily check for abnormal conditions.

[0121] The point notification window W444 displays the points calculated by the point calculation unit 422. In this case, the point calculation unit 422 may display not only a numerical value but also an icon representing the points. The icon may be, for example, a heart mark. By adding such an icon, the impersonality of the points can be reduced, and the user of the childcare application can feel more familiar with the points.

[0122] The character image IC440 is, for example, an image of a baby mascot character, etc. The character image IC440 can be edited using an edit item that can be exchanged based on points.

[0123] More specifically, when the point notification window W444 is selected by the operation unit 43, the calculation unit 42 detects the selection of the point notification window W444 and displays an edit item exchange screen. When the operation unit 43 accepts the selection of an edit item, the calculation unit 42 permits the accepted edit item to be added to the character image IC440.

[0124] When the user performs an operation to add a point item to the character image IC440 using the operation unit 43, the image editing unit 421 edits the character image IC440 using the selected editing item based on the addition operation.

[0125] For example, as can be seen by referring to the change from FIG. 12(A) to FIG. 12(B), it is possible to change the color of the baby clothes of the character image IC440, and to add a bib, pacifier, etc.

[0126] This provides motivation for users such as parents to keep the subject (infant 90) sleeping in a normal state. For example, it is a pain for parents to get up and correct the position every time the subject (infant 90) rolls over, but this task can be made more enjoyable. Therefore, it is possible to reduce the risk of SIDS for the subject (infant 90).

[0127] <1> 1. A respiratory detection system for attachment to the skin of a subject to detect respiratory movement of the subject, comprising: an acceleration sensor that measures acceleration at a position where the breathing movement is detected and outputs acceleration measurement data; a pressure sensor that measures the pressure at the position where the breathing movement is detected and outputs pressure measurement data; a posture determination unit that determines the posture of the subject based on the acceleration measurement data; a breathing movement detection unit that detects the breathing movement based on the acceleration measurement data or the pressure measurement data; Equipped with the posture determination unit determines that the subject is lying face down as one type of posture; The breathing movement detection unit When the posture is not the prone posture, the breathing movement is detected based on the acceleration measurement data; a breathing detection system that detects the breathing movement based on the pressure measurement data when the posture is prone.

[0128] <2> a state determination unit that determines whether the respiratory movement of the subject is in an abnormal state or a normal state based on the acceleration measurement data and the pressure measurement data; <1> The respiration detection system according to claim 1.

[0129] <3> The state determination unit a pressure threshold value for the pressure measurement data and an acceleration threshold value for the acceleration measurement data are set; When the value of the acceleration measurement data is less than the acceleration threshold value, or when the value of the pressure measurement data is equal to or greater than the pressure threshold value, the abnormal state is determined to exist; When the value of the acceleration measurement data is equal to or greater than the acceleration threshold value and the value of the pressure measurement data is less than the pressure threshold value, the normal state is determined. <2> The respiration detection system according to claim 1.

[0130] <4> The state determination unit a pressure threshold value for classifying the abnormal state is set; further classifying the abnormal condition based on the condition classification pressure threshold and the posture; <3> The respiration detection system according to claim 1.

[0131] <5> a notification unit that notifies a result of the detection of the breathing movement, <1> ~ <4> 2. A breathing detection system according to claim 1, wherein

[0132] <6> a notification unit that notifies the abnormal state; <2> ~ <4> 2. A breathing detection system according to claim 1, wherein

[0133] <7> an image editing department that generates and edits character images; a point calculation unit that calculates points based on the posture, the respiratory movement detection result, and the abnormal state or the normal state determination result; an operation unit that accepts a selection of an editing item for the character image according to the points; a display unit that displays the character image; Equipped with the image editing unit edits the character image using the selected editing item; <2> ~ <6> 2. A breathing detection system according to claim 1, wherein

[0134] <8> a display unit that displays the ratio of the types of postures; <1> ~ <7> 2. A breathing detection system according to claim 1, wherein [Explanation of symbols]

[0135] 1, 1A: Breath detection system 10: Wearable devices 11: Acceleration sensor 12: Pressure sensor 13: Device control unit 14:Battery 20: Gateway device 21: Communication control unit 22: Posture determination section 23: Breathing motion detection unit 24: Status determination unit 25:Notification Department 30: Cloud server 40: Information and communication terminal 41: Communication control unit 42: Arithmetic section 43:Operation unit 44: Display section 45: Storage part 90: Infants 91:Ribs 100: Housing 421: Image Editing Department 422: Point calculation section ANT1: Device antenna ANT21: Gateway Antenna ANT40: Terminal antenna B100:Bottom wall IC440: Character image P100: Circuit board Sa: Acceleration measurement data Sp: Pressure measurement data THa: Acceleration threshold THp: Pressure threshold THpc: Pressure threshold for state classification W441: Breathing rate notification window W442: Number notification window W443: Posture notification window W444: Point notification window

Claims

1. 1. A respiratory detection system for attachment to the skin of a subject to detect respiratory movement of the subject, comprising: an acceleration sensor that measures acceleration at a position where the breathing movement is detected and outputs acceleration measurement data; a pressure sensor that measures the pressure at the position where the breathing movement is detected and outputs pressure measurement data; a posture determination unit that determines the posture of the subject based on the acceleration measurement data; a breathing movement detection unit that detects the breathing movement based on the acceleration measurement data or the pressure measurement data; Equipped with the posture determination unit determines that the subject is lying face down as one type of posture; The breathing movement detection unit When the posture is not the prone posture, the breathing movement is detected based on the acceleration measurement data; When the posture is the prone position, the breathing movement is detected based on the pressure measurement data. Breath detection system.

2. a state determination unit that determines whether the respiratory movement of the subject is in an abnormal state or a normal state based on the acceleration measurement data and the pressure measurement data; The breath detection system of claim 1 .

3. The state determination unit a pressure threshold value for the pressure measurement data and an acceleration threshold value for the acceleration measurement data are set; When the value of the acceleration measurement data is less than the acceleration threshold value, or when the value of the pressure measurement data is equal to or greater than the pressure threshold value, the abnormal state is determined to exist; When the value of the acceleration measurement data is equal to or greater than the acceleration threshold value and the value of the pressure measurement data is less than the pressure threshold value, the normal state is determined. The breath detection system of claim 2 .

4. The state determination unit a classification pressure threshold for classifying the abnormal state is set; further classifying the abnormal condition based on the classification pressure threshold and the posture; The breath detection system of claim 3 .

5. a notification unit that notifies a result of the detection of the breathing movement, The breath detection system of claim 1 .

6. a notification unit that notifies the abnormal state; The breath detection system of claim 2 .

7. an image editing department that generates and edits character images; a point calculation unit that calculates points based on the posture, the respiratory movement detection result, and the abnormal state or the normal state determination result; an operation unit that accepts a selection of an editing item for the character image according to the points; a display unit that displays the character image; Equipped with the image editing unit edits the character image using the selected editing item; The breath detection system of claim 2 .

8. a display unit that displays the ratio of the types of postures; The breath detection system of claim 1 .

Images