Biological vibration information monitoring method and biological vibration information monitoring device

By using linear sensors that upload and download dispersed parts in the biovibration information monitoring equipment, the problems of low signal-to-noise ratio and poor repeatability in the prior art are solved, and the biological vibration information monitoring effect with high accuracy and high repeatability are achieved.

JP2025066355APending Publication Date: 2025-04-23NAT UNIV CORP KUMAMOTO UNIV

Patent Information

Application Number
JP2023175892
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-10-11
Publication Date
2025-04-23

AI Technical Summary

Technical Problem

Prior art When monitoring biovibration information using piezoelectric sensor, it is difficult to ensure sufficient repetition and accuracy, especially in cardiac surveillance.

Method used

A linear sensor including the upload dispersion part and the download dispersion part is adopted. By placing the sensor between the upload dispersion part and the download dispersion part, a high signal-to-noise ratio is ensured, thereby achieving high accuracy and high repeatability of biovibration information monitoring.

Benefits of technology

Through this method, the signal-to-noise ratio and repeatability of biovibration information monitoring can be significantly improved, ensuring high accuracy and stability of monitoring results.

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Abstract

To provide a biological vibration information monitoring device, etc. capable of performing reproducible measurement processing with a high degree of precision for biological vibration information on a person to be measured.SOLUTION: A biological vibration information monitoring device 1 measures biological vibration information on a person to be measured. The biological vibration information monitoring device 1 includes wire sensor parts 5 and 7, upper side load dispersion parts 9 and 11 positioned on the wire sensor parts 5 and 7, and a lower side load dispersion part 3 positioned beneath the wire sensor parts 5 and 7. The upper side load dispersion parts 9 and 11 disperse the load more than the lower side load dispersion part 3. The wire sensor parts 5 and 7 measure the biological vibration information on the person to be measured in the state that the person to be measured is resting his or her body on the upper side load dispersion parts 9 and 11.SELECTED DRAWING: Figure 1
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Description

[Technical field]

[0001] The present invention relates to a biological vibration information monitoring method and a biological vibration information monitoring device, and in particular to a biological vibration information monitoring method for measuring the biological vibration information of a subject using a biological vibration information monitoring device. [Background technology]

[0002] Patent Documents 1 and 2 describe obtaining signals related to the human body by bending and arranging a piezoelectric sensor. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2005-351781 A [Patent Document 2] JP 2005-074059 A Summary of the Invention [Problem to be solved by the invention]

[0004] The standard method for monitoring cardiac disease is to have an electrocardiogram taken at a medical institution. However, to have an electrocardiogram taken at a medical institution, electrodes must be attached to six locations on both wrists, both ankles, and the chest, and the measurement must be taken by a professional with specialized knowledge and skills.

[0005] As a form of monitoring other than electrocardiograms, there is ballistocardiogram measurement. Ballistocardiogram measurement measures the vibrations caused by the beating of the heart (blood pumping). Vibrations that occur in the body, such as ballistocardiograms, are called biovibration information. For example, it can be obtained by installing a vibration detection sensor on furniture on which a person rests, such as a bed or chair, so there is no need to wear a sensor on the person. Therefore, the person being measured can obtain heart rate information without feeling any discomfort or even being aware that they are being measured.

[0006] In cardiac disease monitoring, the focus is generally on whether the heart rate can be measured. In the case of an electrocardiogram, the waveform contains sufficient information to diagnose cardiac disease in addition to the heart rate. On the other hand, in the case of a ballistocardiogram, the heart beat interval is accurately measured and the activity of the autonomic nervous system can be estimated by analyzing the fluctuations, and the presence and severity of cardiac disease can be evaluated.

[0007] To accurately measure heart rate intervals using a ballistocardiogram, in addition to the type, number, and installation location of sensors, it is important to ensure reproducibility (the ability to perform multiple measurements with the same quality on the same person, and the ability to perform measurements with similar quality on different people).

[0008] However, in Patent Documents 1 and 2, signals related to the human body are acquired using a piezoelectric sensor alone, and it is expected that it will be difficult to ensure sufficient reproducibility for practical use in the acquired signals.

[0009] Therefore, an object of the present invention is to propose a bio-vibration information monitoring device etc. capable of performing measurement processing of a subject's bio-vibration information with high accuracy and reproducibility. [Means for solving the problem]

[0010] A first aspect of the present invention is a bio-vibration information monitoring method for measuring the bio-vibration information of a subject using a bio-vibration information monitoring device, the bio-vibration information monitoring device comprising a wire sensor, an upper load distribution section positioned above the wire sensor, and a lower load distribution section positioned below the wire sensor, the upper load distribution section distributing the load more than the lower load distribution section, and including a measurement step in which the wire sensor measures the bio-vibration information of the subject while the subject rests his / her body on the upper load distribution section.

[0011] A second aspect of the present invention is a bio-vibration information monitoring method of the first aspect, wherein in the measurement step, the wire sensor measures the bio-vibration information of the subject who is sitting with his / her ischial bones on the wire sensor.

[0012] A third aspect of the present invention is a bio-vibration information monitoring method according to the first or second aspect, wherein the wire sensor includes a first wire sensor and a second wire sensor, the upper load distribution portion includes a first upper load distribution portion and a second upper load distribution portion, the first wire sensor and the second wire sensor are installed at a distance from each other, the first upper load distribution portion and the second upper load distribution portion are respectively located above the first wire sensor and the second wire sensor, and in the measurement step, the first wire sensor and the second wire sensor measure the bio-vibration information of the subject who is sitting with his / her left and right ischia located above the first wire sensor and the second wire sensor, respectively.

[0013] A fourth aspect of the present invention is a biological vibration information monitoring method according to the third aspect, wherein a portion of the first wire sensor and the second wire sensor are arranged in a spiral shape, and when the subject is seated, the positions of the left and right ischia are located more posteriorly than the center of the spiral portion of the first wire sensor and the second wire sensor, respectively.

[0014] A fifth aspect of the present invention is a biological vibration information monitoring method according to any one of the first to fourth aspects, wherein the lower load distribution portion includes urethane and the upper load distribution portion includes gel.

[0015] A sixth aspect of the present invention is a biological vibration information monitoring method according to any one of the first to fifth aspects, wherein the biological vibration information measured in the measuring step is a ballistocardiogram waveform.

[0016] A seventh aspect of the present invention is a bio-vibration information monitoring device for measuring the bio-vibration information of a subject, comprising a wire sensor, an upper load distribution section located above the wire sensor, and a lower load distribution section located below the wire sensor, wherein the upper load distribution section distributes load more than the lower load distribution section, and the wire sensor measures the bio-vibration information of the subject while the subject rests his / her body against the upper load distribution section.

[0017] An eighth aspect of the present invention is a bio-vibration information monitoring device according to the seventh aspect, wherein the wire sensor measures the bio-vibration information of the subject sitting with his / her ischial bones on the wire sensor.

[0018] A ninth aspect of the present invention is the bio-vibration information monitoring device of the seventh or eighth aspect, wherein the wire sensor includes a first wire sensor and a second wire sensor, the upper load distribution portion includes a first upper load distribution portion and a second upper load distribution portion, the first wire sensor and the second wire sensor are installed at a distance from each other, the first upper load distribution portion and the second upper load distribution portion are respectively located above the first wire sensor and the second wire sensor, and the first wire sensor and the second wire sensor measure the bio-vibration information of the subject who is sitting with his or her left and right ischia located above the first wire sensor and the second wire sensor, respectively.

[0019] A tenth aspect of the present invention is the biological vibration information monitoring device of the ninth aspect, wherein a portion of the first wire sensor and the second wire sensor are arranged in a spiral shape, and when the subject is seated, the positions of the left and right ischia are located more posteriorly than the center of the spiral portion of the first wire sensor and the second wire sensor, respectively.

[0020] An eleventh aspect of the present invention is the biological vibration information monitoring device of any one of the seventh to tenth aspects, wherein the lower load distribution portion includes urethane and the upper load distribution portion includes gel.

[0021] A twelfth aspect of the present invention is the biological vibration information monitoring device of any one of the seventh to eleventh aspects, in which the measured biological vibration information is a ballistocardiogram waveform. Effect of the Invention

[0022] According to each aspect of the present invention, by sandwiching the wire sensor between an upper load distribution section located above the wire sensor against which the subject rests, and a lower load distribution section located below the wire sensor, it is possible to achieve a high signal-to-noise ratio for the subject's biological vibration information, and enable measurement processing with high accuracy and reproducibility. [Brief description of the drawings]

[0023] [Figure 1] 1 is a diagram showing an example of the configuration of a biological vibration information monitoring device 1 according to an embodiment of the present invention. [Diagram 2] 1 shows an example of a wire sensor disposed on a wire sensor substrate. [Diagram 3] FIG. 1 is a diagram showing an overview of a biological vibration information monitoring device used in an experiment conducted by the inventors. [Figure 4] FIG. 2 is a second diagram showing an overview of the biological vibration information monitoring device used in the experiment conducted by the inventors. [Diagram 5] FIG. 13 is a diagram for explaining the evaluation of waveform quality proposed by the inventors. [Figure 6] The detection signals of each wire sensor and the electrocardiogram obtained 30 seconds after the start of measurement when the same subject sat quietly for one minute four times are shown. [Figure 7] The first detection signals and electrocardiograms of the other two subjects are shown. [Figure 8] The configurations shown are (a) when there is no first upper load distribution portion 57 and (b) when there is a hard urethane wrist rest, (c) when there is a soft urethane wrist rest, and (d) when there is an EXGEL (registered trademark) wrist rest. [Figure 9(a)(b)] 8(a) and (b) are shown for a subject. [Figure 9(c)(d)] 8(c) and (d) for a given subject. [Figure 10(a)(b)] 8(a) and (b) for another subject. [Figure 10(c)(d)] The signals obtained from the other subjects are shown in FIGS. 8(c) and (d). [Figure 11(a)(b)] FIG. 8(d) is a first diagram showing measurements taken on the subject in FIG. 9 by arranging the wire sensor in a spiral shape and changing the way the sensor is wound. [Figure 11(c)] FIG. 8(d) is a second diagram showing the results of measurements taken on the subject in FIG. 9 by arranging the wire sensor in a spiral shape and changing the way the sensor is wound. [Figure 12(a)(b)] FIG. 8(d) is a first diagram showing a measurement of the subject in FIG. 9 by arranging the wire sensor in a vertical and horizontal serpentine manner. [Figure 12(c)(d)] FIG. 8(d) is a second diagram showing the result of measurement of the subject in FIG. 9 by arranging the wire sensor in a vertical and horizontal serpentine manner. [Figure 13(a)(b)] FIG. 11 is a first diagram showing measurements taken on the subject in FIG. 10 by arranging the wire sensor in a spiral shape in FIG. 8(d) and changing the way the sensor is wound. [Figure 13(c)] FIG. 12 is a second diagram showing the results of measurements taken on the subject in FIG. 10 by arranging the wire sensor in a spiral shape in FIG. 8(d) and changing the way the sensor is wound. [Figure 14] In FIG. 8(d), the wire sensor was arranged in a vertical and horizontal serpentine shape, and measurements were taken of the subject in FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0024] Hereinafter, an embodiment of the present invention will be described with reference to the drawings, however, the present invention is not limited to this embodiment. EXAMPLES

[0025] Fig. 1 is a diagram showing an example of the configuration of a biological vibration information monitoring device 1 according to an embodiment of the present invention. The biological vibration information monitoring device 1 is, for example, a piece of furniture that is placed on the seat of a chair and on which a person to be measured sits. In Fig. 1, the person to be measured sits with the upper side of the figure facing forward (towards the face) and the lower side of the figure facing backward (towards the back).

[0026] The biological vibration information monitoring device 1 comprises a lower load distribution section 3 (an example of a "lower load distribution section" in the claims), a first wire sensor section 5 and a second wire sensor section 7 (the wire sensors in the first wire sensor section 5 and the second wire sensor section 7 are an example of a "wire sensor" in the claims), and a first upper load distribution section 9 and a second upper load distribution section 11 (the first upper load distribution section 9 and the second upper load distribution section 11 are an example of an "upper load distribution section" in the claims).

[0027] The lower load distribution part 3 is located below the first wire sensor part 5 and the second wire sensor part 7, and distributes the load. The lower load distribution part 3 is, for example, a urethane cushion. In the present invention, there may be one lower load distribution part, or there may be multiple lower load distribution parts, for example, different lower load distribution parts for the first wire sensor part 5 and the second wire sensor part 7.

[0028] The first wire sensor unit 5 includes a first wire sensor and a first wire sensor substrate. The first wire sensor substrate is, for example, sheet-like. The first wire sensor is flexible and linear, and is placed on the first wire sensor substrate. The first wire sensor is a pressure-sensitive sensor (piezoelectric sensor) and generates a detection signal in response to applied vibration. The first wire sensor generates a detection signal in response to vibration applied by body movements caused by vital activities (physical movement of the heart, breathing, etc.) of the subject sitting on the biological vibration information monitoring device 1, and transmits the detection signal to a signal detection device (not shown).

[0029] The second wire sensor unit 7 includes a second wire sensor and a second wire sensor substrate. The second wire sensor substrate is, for example, sheet-like. The second wire sensor is flexible and linear, and is placed on the second wire sensor substrate. The second wire sensor is a pressure-sensitive sensor, and generates a detection signal in response to applied vibration. The second wire sensor generates a detection signal in response to vibration applied by body movements caused by vital activities (physical movement of the heart, breathing, etc.) of the subject sitting on the biological vibration information monitoring device 1, and transmits the detection signal to a signal detection device (not shown).

[0030] The first upper load distribution part 9 is located above the first wire sensor part 5 and distributes the load. The first upper load distribution part 9 distributes the load (pressure) more than the lower load distribution part 3. The first upper load distribution part 9 is, for example, a urethane cushion or a gel cushion. The gel cushion is, for example, made of EXGEL (registered trademark).

[0031] The second upper load distribution part 11 is located above the second wire sensor part 7 and distributes the load. The second upper load distribution part 11 distributes the load (pressure) more than the lower load distribution part 3. The second upper load distribution part 11 is, for example, a urethane cushion or a gel cushion. The gel cushion is, for example, made by EXGEL.

[0032] The first wire sensor unit 5 and the second wire sensor unit 7 measure the subject's bio-vibration information (e.g., information regarding vibrations occurring in the body, such as a ballistocardiogram) while the subject is sitting on the first upper load distribution unit 9 and the second upper load distribution unit 11.

[0033] In the present invention, the upper load distribution part and the wire sensor may be one or more. Since the buttocks and the legs are separated into left and right, when the subject sits, the part that comes into contact with the biological vibration information monitoring device 1 is separated into the right and left sides. Therefore, as shown in Fig. 1, the first upper load distribution part 9 and the first wire sensor part 5, and the second upper load distribution part 11 and the second wire sensor part 7 are provided at intervals on the left and right sides, and are different on the left and right sides, so that the vibration obtained by the part that comes into contact on the left side and the vibration obtained by the part that comes into contact on the right side can be detected separately.

[0034] FIG. 2 shows an example of the arrangement of a wire sensor on a wire sensor substrate.

[0035] FIG. 2(a) shows an example of a spiral arrangement. The wire sensor 21 transmits a detection signal to the outside of the wire sensor substrate. The wire sensor 21 is arranged on the wire sensor substrate, bent at point 22. The part below point 22 transmits the detection signal of the wire sensor 21 to the signal detection device. The part above point 22 is arranged in a spiral shape from the outside to the inside. The center of a figure including the part above point 22 is called the center of the wire sensor. For example, the center of gravity of a figure including the part above point 22 can be set as the center of the wire sensor. However, the figure may become complicated. Therefore, for example, simply, above point 22, point 25, point 29, and point 33 may be located at the bottom, right, top, and left, respectively, and the center of gravity of a rectangle formed by parallel lines 23 and 31 passing through points 22 and 29, and parallel lines 27 and 35 passing through points 25 and 33 may be set as the center of the wire sensor.

[0036] 2(b) shows an example of a horizontally meandering arrangement. The wire sensor 36 is arranged to meander left and right above the point where it is bent on the wire sensor base material. For example, the center of gravity of a rectangle formed by parallel lines 37 and 39 passing through the lowest and highest points and parallel lines 41 and 43 passing through the leftmost and rightmost points of the portion of the wire sensor 36 located above the point where it is bent can be set as the center of the wire sensor.

[0037] 2(c) shows an example of a vertically meandering arrangement. The wire sensor 44 is arranged to meander up and down on the left side of the point where it is bent on the wire sensor base material. For example, the center of gravity of a rectangle formed by parallel lines 45 and 47 passing through the lowest and highest points and parallel lines 49 and 51 passing through the leftmost and rightmost points in the part of the wire sensor 44 located to the left of the point where it is bent can be set as the center of the wire sensor.

[0038] In addition, in the present invention, the measurement of the subject's biovibration information is not limited to a state in which the subject sits on the upper load distribution part, but may also be performed with the subject leaning their body against the upper load distribution part.

[0039] 3 and 4 are diagrams showing an outline of a biological vibration information monitoring device used in an experiment conducted by the inventors.

[0040] The biological vibration information monitoring device comprises a lower load distribution section 53, a first wire sensor section 54, a second wire sensor section 55, a first upper load distribution section 57, and a second upper load distribution section 59. The lower load distribution section 53 has a thickness of 4.5 cm. The first upper load distribution section 57 and the second upper load distribution section 59 have a thickness of 2.4 cm. The biological vibration information monitoring device is placed on the seat of chair 52.

[0041] The lower load dispersing portion 53 is a urethane cushion.

[0042] 3(b) shows the state before the first upper load distribution part 57 and the second upper load distribution part 59 are installed. In the signal detection device, channel 1 is the detection signal detected by the second wire sensor part 55 on the right side. In the signal detection device, channel 2 is the detection signal detected by the first wire sensor part 54 on the left side.

[0043] FIG. 3(c) shows an example in which a wire sensor (wire-type piezoelectric sensor) is arranged in a spiral shape.

[0044] 3(d) shows the state after the first upper load distribution portion 57 and the second upper load distribution portion 59 have been installed. The first upper load distribution portion 57 and the second upper load distribution portion 59 are cushioning materials (wrist rests filled with EXGEL). The wrist rests filled with EXGEL of the first upper load distribution portion 57 and the second upper load distribution portion 59 distribute the load better than the urethane cushion of the lower load distribution portion 53.

[0045] Positions 61 and 63 are the dorsal ends of first upper load distribution portion 57 and second upper load distribution portion 59. When the subject sits down to measure biovibration information, the subject's left and right ischia are positioned on positions 61 and 63, respectively. Fig. 4(a) shows upper load distribution portion 65 when the subject is sitting. Fig. 4(b) shows left and right ischia 67 and 69. When the subject is sitting, the subject's left and right ischia are positioned on the dorsal side of the upper load distribution portion above the wire sensor.

[0046] The inventors have confirmed that biovibration information can be detected with high accuracy by positioning the ischial bones of the subject when sitting back from the center of the wire sensor (for example, at the back ends of the first upper load distribution section 57 and the second upper load distribution section 59), as shown in positions 61 and 63 in Fig. 3(d). The subject can sit so that the left and right ischial bones are above positions 61 and 63. In addition, in the biovibration information monitoring device, the positions of some or all of the first wire sensor section 54, the second wire sensor section 55, the first upper load distribution section 57 and the second upper load distribution section 59 may be adjustable. This position adjustment may be achieved, for example, by providing a position adjustment section (not shown).

[0047] In this experiment, the ballistocardiogram waveform of the subject is measured in a state where the subject's ischium is positioned dorsally relative to the center of the wire sensor in the first wire sensor unit 54 and the second wire sensor unit 55. In the experiment, the distance between the first wire sensor unit 54 and the second wire sensor unit 55 is adjusted. In the first wire sensor unit 54 and the second wire sensor unit 55, the wire sensors are arranged in a spiral shape to maximize the contact area between the subject's ischium and the wire sensor, and the first upper load distribution unit 57, the second upper load distribution unit 59, and the lower load distribution unit 53 are arranged vertically to optimize the load on the wire sensor near the subject's ischium.

[0048] FIG. 5 is a diagram for explaining the evaluation of waveform quality proposed by the inventors. The inventors calculate two parameters as evaluation indexes of signal quality. The first is the signal-to-noise ratio (SNR), which is the 95th percentile amplitude (P 95 ) (signal=S) and the 75th percentile amplitude (P 75 )(noise=N) and use the amplitude values ​​obtained to calculate the signal-to-noise ratio (SNR=P 95 / P 75 The second is the peak detection error rate (hereafter referred to as the "error rate"), which is calculated by the heartbeat interval I obtained from each piezoelectric sensor signal for the i-th time (i is a natural number less than or equal to n). RRi and the heart beat interval I obtained from the electrocardiogram, which is the reference signal. JJi The error rate ε of the heartbeat interval is calculated by comparing the values ​​of the heartbeat intervals and the heartbeat interval error rate ε using Equation 1.

[0049]

number

[0050] In each figure in Figure 5, the graph on the left shows the obtained raw data. The horizontal axis is time (seconds) and the vertical axis is amplitude. The graph on the right shows percentiles. The horizontal axis is rank and the vertical axis is amplitude.

[0051] Figure 5(a) shows an example of good quality. In Figure 5(a), N is 0.014 and S is 0.076. The signal-to-noise ratio is 5.43, which is good quality.

[0052] Figure 5(b) shows an example of poor quality, where N is 0.058 and S is 0.155. The signal-to-noise ratio is 2.67, which is poor quality.

[0053] Figure 6 shows the detection signals and electrocardiograms of each wire sensor obtained 30 seconds after the start of measurement when the same subject sat quietly for one minute four times. After the measurement for each trial was completed, the subject stood up and sat back down. Figures 6(a), (b), (c), and (d) show the detection signals obtained from the first, second, third, and fourth trials, respectively. In each figure, the top two graphs show the detection signals of channel 1 and channel 2. The bottom graph shows the electrocardiogram (ECG). The horizontal axis is time (seconds) and the vertical axis is amplitude.

[0054] In Figure 6(a), the signal-to-noise ratio in channel 1 is 3.40 and the error rate is 1.15. The signal-to-noise ratio in channel 2 is 3.66 and the error rate is 0.98.

[0055] In Figure 6(b), the signal-to-noise ratio for channel 1 is 2.83 and the error rate is 1.39. The signal-to-noise ratio for channel 2 is 3.83 and the error rate is 0.81.

[0056] In Figure 6(c), the signal-to-noise ratio for channel 1 is 3.16 and the error rate is 1.26. The signal-to-noise ratio for channel 2 is 3.10 and the error rate is 1.23.

[0057] In Figure 6(d), the signal-to-noise ratio for channel 1 is 2.74 and the error rate is 2.04. The signal-to-noise ratio for channel 2 is 3.22 and the error rate is 1.15.

[0058] In this way, even if the same subject performs multiple trials, the signal-to-noise ratio is sufficiently large and the error rate is small. Furthermore, the signal-to-noise ratio and error rate values ​​are similar in each trial. The signal quality does not change, and a stable detection signal can be obtained with high accuracy.

[0059] Figure 7 shows the detection signals and electrocardiograms of the first measurement by two other subjects (test subjects). In each of Figures 7(a) and (b), the top two graphs show the detection signals of channel 1 and channel 2. The bottom graph shows the electrocardiogram. The horizontal axis is time (seconds) and the vertical axis is amplitude.

[0060] In Figure 7(a), the signal-to-noise ratio in channel 1 is 3.40 and the error rate is 1.15. The signal-to-noise ratio in channel 2 is 3.66 and the error rate is 0.98.

[0061] In Figure 7(b), the signal-to-noise ratio for channel 1 is 4.10 and the error rate is 1.20. The signal-to-noise ratio for channel 2 is 2.57 and the error rate is 1.98.

[0062] In this way, even for different subjects, the signal-to-noise ratio is sufficiently large and the error rate is small. Furthermore, the signal-to-noise ratio and error rate values ​​are similar. The signal quality is comparable, and a stable detection signal can be obtained with high accuracy.

[0063] Similarly, measurements were taken four times on a total of 16 subjects (a total of 64 measurements), and the results were both accurate and reproducible regardless of gender, weight, BMI, body fat percentage, or clothing.

[0064] 8 shows the configurations (a) when there is no first upper load distribution portion 57 and second upper load distribution portion 59, (b) when the first upper load distribution portion 57 and second upper load distribution portion 59 are a hard urethane wrist rest, (c) when the first upper load distribution portion 57 and second upper load distribution portion 59 are a soft urethane wrist rest, and (d) when the first upper load distribution portion 57 and second upper load distribution portion 59 are an EXGEL wrist rest. Note that the present invention may also use a material that has similar load distribution properties.

[0065] 9(a)-(d) show signals obtained by Fig. 8(a)-(d) for a certain subject, respectively. The horizontal axis is time (s) and the vertical axis is amplitude. In each figure, the graphs show, from top to bottom, the detection signal of channel 1, the detection signal of channel 2, and an electrocardiogram (ECG).

[0066] In Figure 9(a), the signal-to-noise ratio for channel 1 is 2.86 and the error rate is 8.69. The signal-to-noise ratio for channel 2 is 2.66 and the error rate is 20.56.

[0067] In Figure 9(b), the signal-to-noise ratio for channel 1 is 2.70 and the error rate is 6.63. The signal-to-noise ratio for channel 2 is 3.04 and the error rate is 5.10.

[0068] In Figure 9(c), the signal-to-noise ratio for channel 1 is 2.58 and the error rate is 4.75. The signal-to-noise ratio for channel 2 is 2.79 and the error rate is 18.51.

[0069] In Figure 9(d), the signal-to-noise ratio for channel 1 is 3.65 and the error rate is 2.02. The signal-to-noise ratio for channel 2 is 3.50 and the error rate is 1.59.

[0070] The signal-to-noise ratio in Figures 9(a) to (c) was at most 3.04, and was mostly less than 3. On the other hand, Figure 9(d) consistently achieved a value of 3 or more. Also, the error rate in Figures 9(a) to (c) was at most 4.75, and some were in double digits. On the other hand, Figure 9(d) was at most 2.02. Therefore, it can be seen that by using gel for the first upper load distribution part 57 and the second upper load distribution part 59, it is possible to obtain results that guarantee both accuracy and reproducibility.

[0071] Figures 10(a)-(d) show signals obtained by Figures 8(a)-(d) for another subject, respectively. The horizontal axis is time (s) and the vertical axis is amplitude. In each figure, the graphs show, from top to bottom, the detection signal of channel 1, the detection signal of channel 2, and an electrocardiogram (ECG).

[0072] In Figure 10(a), the signal-to-noise ratio for channel 1 is 3.08 and the error rate is 34.61. The signal-to-noise ratio for channel 2 is 3.02 and the error rate is 101.90.

[0073] In Figure 10(b), the signal-to-noise ratio for channel 1 is 3.22 and the error rate is 96.12. The signal-to-noise ratio for channel 2 is 2.46 and the error rate is 4.05.

[0074] In Figure 10(c), the signal-to-noise ratio for channel 1 is 3.53 and the error rate is 21.41. The signal-to-noise ratio for channel 2 is 3.34 and the error rate is 2.04.

[0075] In Figure 10(d), the signal-to-noise ratio for channel 1 is 3.00 and the error rate is 1.72. The signal-to-noise ratio for channel 2 is 2.68 and the error rate is 7.78.

[0076] In Figures 10(a) to (c), some of the results show a signal-to-noise ratio of 3 or more, but the error rate is large in channel 1 and channel 2. On the other hand, in Figure 10(d), a fairly large signal-to-noise ratio value is obtained in channel 1 and channel 2, and the error rate is also small. Therefore, it can be seen that by using gel for first upper load distribution part 57 and second upper load distribution part 59, it is possible to obtain results that guarantee both accuracy and reproducibility, even if the subjects are different.

[0077] Figure 11 shows measurements taken on the subject in Figure 9 by arranging the wire sensor in a spiral shape in Figure 8(d) and changing the way the spiral is wound. The winding ways are (a) large, (b) medium, and (c) small. In the figure, the graphs show, from top to bottom, the detection signal of channel 1, the detection signal of channel 2, and an electrocardiogram (ECG). The horizontal axis is time (s) and the vertical axis is amplitude.

[0078] In Figure 11(a), the signal-to-noise ratio for channel 1 is 3.65 and the error rate is 2.02. The signal-to-noise ratio for channel 2 is 3.50 and the error rate is 1.59.

[0079] In Figure 11(b), the signal-to-noise ratio for channel 1 is 2.68 and the error rate is 4.78. The signal-to-noise ratio for channel 2 is 3.15 and the error rate is 3.77.

[0080] In Figure 11(c), the signal-to-noise ratio for channel 1 is 2.84 and the error rate is 4.98. The signal-to-noise ratio for channel 2 is 3.59 and the error rate is 1.73.

[0081] Regardless of the winding method, we were able to obtain results that were both accurate and reproducible.

[0082] FIG. 12 shows the results of measurements taken on the subject in FIG. 9 with the wire sensors in FIG. 8(d) arranged in a vertical and horizontal serpentine fashion. FIG. 12(a) shows a vertical serpentine arrangement, and FIG. 12(b) shows a horizontal serpentine arrangement. FIG. 12(c) and (d) correspond to FIG. 12(a) and (b), respectively. In FIG. 12(c) and (d), the graphs show, from top to bottom, the detection signal of channel 1, the detection signal of channel 2, and an electrocardiogram (ECG). The horizontal axis is time (s) and the vertical axis is amplitude.

[0083] In Figure 12(c), the signal-to-noise ratio for channel 1 is 2.75 and the error rate is 6.78. The signal-to-noise ratio for channel 2 is 3.13 and the error rate is 6.79.

[0084] In Figure 12(d), the signal-to-noise ratio for channel 1 is 2.87 and the error rate is 6.99. The signal-to-noise ratio for channel 2 is 2.87 and the error rate is 5.55.

[0085] Both vertical and horizontal serpentine configurations have been shown to provide results that are both accurate and repeatable.

[0086] Figure 13 shows measurements taken on the subject in Figure 10 when the wire sensor in Figure 8(d) was arranged in a spiral shape and the spiral winding was changed. The windings are large in (a), medium in (b), and small in (c). In the figure, the graphs show, from top to bottom, the detection signal of channel 1, the detection signal of channel 2, and an electrocardiogram (ECG). The horizontal axis is time (s) and the vertical axis is amplitude.

[0087] In Figure 13(a), the signal-to-noise ratio for channel 1 is 3.00 and the error rate is 1.72. The signal-to-noise ratio for channel 2 is 2.68 and the error rate is 7.78.

[0088] In Figure 13(b), the signal-to-noise ratio for channel 1 is 2.96 and the error rate is 2.77. The signal-to-noise ratio for channel 2 is 3.20 and the error rate is 3.34.

[0089] In Figure 13(c), the signal-to-noise ratio for channel 1 is 2.82 and the error rate is 12.39. The signal-to-noise ratio for channel 2 is 3.20 and the error rate is 3.34.

[0090] Regardless of the winding method, we were able to obtain results that were both accurate and reproducible.

[0091] Fig. 14 shows the results of measurements taken on the subject in Fig. 10 when the wire sensor in Fig. 8(d) was arranged in a vertical and horizontal serpentine shape. Figs. 14(a) and (b) correspond to the vertical and horizontal serpentine arrangements, respectively. In Figs. 14(a) and (b), the graphs show, from top to bottom, the detection signal of channel 1, the detection signal of channel 2, and an electrocardiogram (ECG). The horizontal axis is time (s) and the vertical axis is amplitude.

[0092] In Figure 14(a), the signal-to-noise ratio for channel 1 is 2.76 and the error rate is 168.60. The signal-to-noise ratio for channel 2 is 3.56 and the error rate is 100.02.

[0093] In Figure 14(b), the signal-to-noise ratio for channel 1 is 2.71 and the error rate is 0.91. The signal-to-noise ratio for channel 2 is 3.39 and the error rate is 2.51.

[0094] Vertical and horizontal serpentine configurations can sometimes produce results that are both accurate and repeatable, but they also have been found to have higher error rates.

[0095] Furthermore, the inventors have confirmed through experiments that, when comparing the case where there is a lower load distribution part with the case where there is no lower load distribution part, the presence of the lower load distribution part makes it possible to obtain results that ensure both accuracy and reproducibility. [Explanation of symbols]

[0096] 1. Bio-vibration information monitoring device 3 Lower load distribution section 5 First wire sensor part 7 Second Wire Sensor Part 9 1st upper load distribution section 11 2nd upper load distribution section 21 Wire Sensor 22 points 23 Parallel Lines 25 points 27 Parallel Lines 29 points 31 Parallel Lines 33 points 35 Parallel Lines 36 Wire Sensor 37 Parallel Lines 39 Parallel Lines 41 Parallel Lines 43 Parallel Lines 44 Wire Sensor 45 Parallel Lines 47 Parallel Lines 49 Parallel Lines 51 Parallel Lines 52 Chair 53 Lower load distribution section 54 First wire sensor part 55 Second wire sensor part 57 1st upper load distribution section 59 2nd upper load distribution section 61 position 63 positions 65 Upper load distribution section 67 Sciatica 69 Sciatica

Claims

1. A biological vibration information monitoring method for measuring biological vibration information of a subject using a biological vibration information monitoring device, comprising: The biological vibration information monitoring device includes: A wire sensor; an upper load distribution portion located above the wire sensor; a lower load distribution portion located below the wire sensor, The upper load distribution portion distributes the load more than the lower load distribution portion, A bio-vibration information monitoring method including a measurement step in which the wire sensor measures the bio-vibration information of the subject while the subject rests his / her body on the upper load distribution part.

2. The method for monitoring bio-vibration information according to claim 1 , wherein in the measuring step, the wire sensor measures the bio-vibration information of the subject who is sitting with his / her ischium on the wire sensor.

3. The wire sensor includes a first wire sensor and a second wire sensor, The upper load distribution portion includes a first upper load distribution portion and a second upper load distribution portion, The first wire sensor and the second wire sensor are disposed at an interval, the first upper load distribution portion and the second upper load distribution portion are located above the first wire sensor and the second wire sensor, respectively; The bio-vibration information monitoring method of claim 1, wherein in the measurement step, the first wire sensor and the second wire sensor measure the bio-vibration information of the subject who is sitting with his / her left and right ischia on the first wire sensor and the second wire sensor, respectively.

4. a portion of the first wire sensor and a portion of the second wire sensor are arranged in a spiral shape; The biological vibration information monitoring method of claim 3, wherein the positions of the left and right ischia when the subject is sitting are located posterior to the center of the spiral portion of the first wire sensor and the second wire sensor, respectively.

5. the lower load distribution portion includes urethane; The method for monitoring biological vibration information according to claim 1 , wherein the upper load distribution portion includes a gel.

6. The method for monitoring biological vibration information according to claim 1 , wherein the biological vibration information measured in the measuring step is a ballistocardiogram waveform.

7. A biological vibration information monitoring device for measuring biological vibration information of a subject, comprising: A wire sensor; an upper load distribution portion located above the wire sensor; a lower load distribution portion located below the wire sensor, The upper load distribution portion distributes the load more than the lower load distribution portion, The wire sensor is a bio-vibration information monitoring device that measures the bio-vibration information of the person being measured while the person is resting his / her body on the upper load distribution part.

8. 8. The biological vibration information monitoring device according to claim 7, wherein the wire sensor measures the biological vibration information of the subject who is sitting with his / her ischial bones on the wire sensor.

9. The wire sensor includes a first wire sensor and a second wire sensor, The upper load distribution portion includes a first upper load distribution portion and a second upper load distribution portion, The first wire sensor and the second wire sensor are disposed at an interval, the first upper load distribution portion and the second upper load distribution portion are located above the first wire sensor and the second wire sensor, respectively; The bio-vibration information monitoring device of claim 7, wherein the first wire sensor and the second wire sensor measure the bio-vibration information of the subject sitting with the left and right ischia on the first wire sensor and the second wire sensor, respectively.

10. a portion of the first wire sensor and a portion of the second wire sensor are arranged in a spiral shape; The biological vibration information monitoring device of claim 9, wherein the positions of the left and right ischia when the subject is sitting are located posterior to the centers of the spiral portions of the first wire sensor and the second wire sensor, respectively.

11. the lower load distribution portion includes urethane; The biological vibration information monitoring device according to claim 7 , wherein the upper load distribution portion includes a gel.

12. The biological vibration information monitoring device according to claim 7 , wherein the measured biological vibration information is a ballistocardiogram waveform.

Citation Information

Patent Citations

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    JP2005074059A

  • Vibration detector and human body detector, and bed system mounting them

    JP2005351781A

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