Muscle activity observation device and muscle activity observation method

Abstract

The present invention relates to a muscle activity observation device and a muscle activity observation method. The muscle activity observation device (10) comprises a sensor module (20) and a detection module (30). The sensor module (20) comprises a piezoelectric sensor (21). The piezoelectric sensor (21) changes its output according to the vibration of a tendon or a muscle, and changes its output according to the expansion and contraction of the tendon or the muscle. The detection unit (31) of the detection module (30) detects the activity state of the tendon or the muscle using the vibration signal and the expansion and contraction signal outputted from the piezoelectric sensor (21).

Description

Technical Field

[0001] The present invention relates to a muscle activity observation technique for observing muscle activity. Background Art

[0002] The muscle movement detection device described in Patent Document 1 includes a sensor and a controller. The resistance of the sensor changes according to the contraction accompanying the movement of the muscle. The controller detects a voltage corresponding to the muscle movement through the resistance of the sensor.

[0003] Patent Document 1: Japanese Patent Application Publication No. 2010-29633

[0004] However, the muscle movement detection device described in Patent Document 1 cannot distinguish and measure isotonic contraction and isometric contraction, so it is difficult to accurately grasp the muscle activity. Summary of the invention

[0005] Therefore, an object of the present invention is to provide a muscle activity observation technology that can distinguish and observe isotonic contraction and isometric contraction.

[0006] The muscle activity observation device of the present invention comprises a first sensor, a second sensor and a detection unit. The first sensor changes its output according to the vibration of the tendon or muscle. The second sensor changes its output according to the expansion and contraction of the tendon or muscle. The detection unit detects the activity state of the tendon or muscle using the output signal of the first sensor and the output signal of the second sensor.

[0007] In this structure, a signal (tremor signal) based on the tremor of the tendon or muscle is obtained by the first sensor. In addition, a signal (stretching signal) based on the stretching of the tendon or muscle is obtained by the second sensor. Moreover, by obtaining these tremor signals and stretching signals respectively, the isometric contraction state and the isotonic contraction state can be respectively identified.

[0008] According to the present invention, isotonic contraction and isometric contraction can be observed separately, thereby making it possible to more accurately grasp the activity and state of tendons or muscles. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It is a block diagram showing the structure of the muscle activity observation device according to the first embodiment.

[0010] Figure 2 (A) is a side view showing a state where the muscle activity observation device is installed on a foot, Figure 2 (B) is a top view showing the state where the muscle activity observation device is installed on the foot.

[0011] Figure 3 (A) is a side view showing a schematic structure of a sensor module. Figure 3(B) is a plan view showing a schematic structure of the sensor module.

[0012] Figure 4 It is a side sectional view showing the schematic structure of a piezoelectric sensor.

[0013] Figure 5 This is a waveform diagram showing an example of the output voltage of the piezoelectric sensor.

[0014] Figure 6 It is a block diagram showing the structure of a signal processing unit.

[0015] Figure 7 This is a waveform diagram used to explain the concept of extracting the stretch signal and the tremor signal.

[0016] Figure 8 This is a waveform diagram showing an example of the waveform of the tremor signal.

[0017] Fig. 9 This is a waveform diagram showing an example of the waveform of the stretch signal.

[0018] Fig.10 is a block diagram showing the structure of the detection module.

[0019] Fig.11 This is a diagram showing an example of an analysis table of activity status.

[0020] Fig.12 This is a diagram showing the flow of the muscle activity observation method.

[0021] Fig.13 This is a diagram showing the flow of state analysis.

[0022] Fig.14 This is a side view showing a state where the muscle activity observation device is mounted on a foot.

[0023] Fig.15 (A) Fig.15 (B) is a diagram showing the state of being installed on the arm (upper arm) and thigh. Fig.15 (C) Fig.15 (D) is a diagram showing a state in which the device is mounted on a forearm.

[0024] Fig.16 (A) Fig.16 (B) is a diagram showing the state of being installed on the chest, abdomen, back, and waist.

[0025] Fig.17 It is a block diagram showing the structure of the muscle activity observation device according to the second embodiment.

[0026] Fig.18(A) is a side view showing a state where the muscle activity observation device is installed on a foot, Fig.18 (B) is a top view showing the state where the muscle activity observation device is installed on the foot.

[0027] Fig.19 This is a table showing an example of the relationship between the parts, actions, and tendons and muscles of the object.

[0028] Fig. 20 (A) is a block diagram showing the structure of a muscle activity observation device according to a third embodiment. Fig. 20 (B) is a block diagram showing the structure of the signal processing unit.

[0029] Fig.21 It is a block diagram showing the configuration of a sensor module in the muscle activity observation device according to the fourth embodiment.

[0030] Fig. 22 It is a block diagram showing the configuration of a sensor module in the muscle activity observation device according to the fifth embodiment.

[0031] Fig.23 This is a block diagram showing a first embodiment of the muscle activity observation system.

[0032] Fig.24 This is a block diagram showing a second example of the muscle activity observation system. DETAILED DESCRIPTION

[0033] (First Embodiment)

[0034] A muscle activity observation device according to a first embodiment of the present invention will be described with reference to the drawings. Figure 1 It is a block diagram showing the structure of the muscle activity observation device according to the first embodiment.

[0035] (Structure of the functional block of the muscle activity observation device)

[0036] like Figure 1 As shown, the muscle activity observation device 10 includes a sensor module 20 and a detection module 30. The sensor module 20 includes a piezoelectric sensor 21 and a signal processing unit 22. The detection module 30 includes a detection unit 31, a communication unit 32, and a power supply 33.

[0037] The piezoelectric sensor 21 is displaced according to the movement of the tendon or muscle of the living body. The piezoelectric body 201 generates an electric charge (potential difference) corresponding to the displacement. The signal processing unit 22 generates a tremor signal and a stretch signal by converting the electric charge detected by the piezoelectric sensor 21 into a voltage signal. The signal processing unit 22 outputs the tremor signal and the stretch signal to the detection unit 31.

[0038] The detection unit 31 detects the state of tremor based on the tremor signal, and detects the state of extension and contraction based on the extension and contraction signal. In addition, the detection unit 31 analyzes the motion of the target part (eg, foot) of the living body based on the state of tremor and the state of extension and contraction.

[0039] In addition, the tremor in the present application is an involuntary movement that indicates rhythmic muscle activity. That is, the tremor in the present application is a small and rapid tremor seen in normal people during posture, which is called physiological tremor, for example, a frequency of 8 Hz to 12 Hz. In addition, the tremor seen in patients with diseases such as Parkinson's disease is a pathological tremor, for example, a frequency of 4 Hz to 7 Hz, which is not the subject of tremor in the present application.

[0040] By using tremor, various advantages are obtained over electromyography. For example, tremor detection (measurement) can be performed even if it is not directly attached to the surface (skin, etc.) of the detected object such as the human body. By detecting tremor, muscle contraction and contraction can be detected. By detecting tremor, changes accompanying muscle fatigue can be detected.

[0041] The communication unit 32 communicates the detection results of the tremor state, the stretch state, the movement of the target part of the biological body, etc. to the outside. The communication method can be either wireless or wired. The power supply 33 supplies power to the detection unit 31 and the communication unit 32. In addition, the power supply 33 can also supply power to the signal processing unit 22 of the sensor module 20. However, the sensor module 20 may also have a power supply separate from the power supply 33.

[0042] (One method of installing the muscle activity monitoring device)

[0043] The muscle activity observation device 10 is attached to the target part of the living body as described below, for example. Figure 2 (A) is a side view showing a state where the muscle activity observation device is installed on a foot, Figure 2 (B) is a top view showing the state where the muscle activity observation device is installed on the foot.

[0044] like Figure 2 (A) Figure 2 As shown in (B), the muscle activity observation device 10 includes a living body support body 40. The living body support body 40 is made of a stretchable material and deforms in accordance with the movement of the living body. It is preferred that the living body support body 40 should not hinder the displacement of the piezoelectric sensor 21 as much as possible (more specifically, the piezoelectric body 201 of the piezoelectric sensor 21 (see Figure 4 ) displacement). For example, cotton-acrylic blended fabric, polyester-cotton blended fabric, cotton-linen blended fabric, acrylic-wool blended fabric, wool-nylon blended fabric, animal hair blended fabric, silk, spun silk, spun silk (spun silk), etc. can be used.

[0045] The living body support body 40 includes a first portion 41 and a second portion 42. The first portion 41 and the second portion 42 are cylindrical and connected in a substantially L-shape in side view. A hole 43 is formed at the connection between the first portion 41 and the second portion 42 to connect the hollow of the cylindrical portion to the outside.

[0046] like Figure 4 (A) Figure 4 As shown in (B), the living body support body 40 is installed in the vicinity of the heel 93 of the foot including the tendons or muscles in accordance with the outer shape of the living body (human body). At this time, the first part 41 covers the ankle 91. The second part 42 covers the instep 92 and the sole 94. And the heel 93 is exposed to the outside from the hole 43.

[0047] The piezoelectric sensor 21 is mounted on the first portion 41. More specifically, the piezoelectric sensor 21 is mounted on the first portion 41 by bonding to the first portion 41 using an adhesive material, sewing to the first portion 41, or accommodating in a pocket provided in the first portion 41. At this time, the piezoelectric sensor 21 is preferably mounted on the inner side (hollow side) of the first portion 41.

[0048] In addition, the piezoelectric sensor 21 is arranged at a position overlapping the Achilles tendon 901 in the first portion 41. In particular, it is preferable that the piezoelectric sensor 21 is arranged at a position overlapping the calf minimum circumference 90. By being arranged at such a position, the piezoelectric sensor 21 can improve the sensitivity of the charge generation caused by the vibration and expansion and contraction of the Achilles tendon 901.

[0049] Furthermore, the longitudinal direction (L direction) of the piezoelectric sensor 21 is substantially orthogonal to the direction in which the Achilles tendon 901 extends. Figure 3 , Figure 4 In the piezoelectric sensor 21 of the structure shown, electric charge is most likely to be generated with respect to displacement in the longitudinal direction (direction L). Thus, the piezoelectric sensor 21 can detect the expansion and contraction of the Achilles tendon 901 with high sensitivity.

[0050] In addition, a method for detecting the vibration and expansion and contraction of the Achilles tendon 901 is shown here. However, in the case of detecting the vibration and expansion and contraction of the tibialis anterior tendon 902, it is sufficient to overlap the piezoelectric sensor 21 with the tibialis anterior tendon 902. In addition, in the case of detecting the vibration and expansion and contraction of the peroneus longus tendon 903, it is sufficient to overlap the piezoelectric sensor 21 with the peroneus longus tendon 903. At this time, the length direction (L direction) of the piezoelectric sensor 21 is preferably as orthogonal as possible to the direction in which the tendon extends.

[0051] In addition, the biological support body 40 supports the instep 92, the sole 94, and the ankle 91, and is bent in the middle, so that the positional relationship between the biological support body 40 and the foot is not easy to change. Therefore, the position of the piezoelectric sensor 21 is not easy to change, and the piezoelectric sensor 21 is not easy to be displaced relative to the tendon (here, the Achilles tendon 901) of the detection object of vibration and expansion. As a result, the piezoelectric sensor 21 can more reliably detect the vibration and expansion of the tendon of the detection object.

[0052] The detection module 30 is mounted on the biological support body 40. The detection module 30 may be mounted at any position of the biological support body 40. However, the detection module 30 is preferably mounted at a position that is easy to communicate with the external environment, for example, preferably outside the first portion 41 and near the end on the opposite side of the side connected to the second portion 42 in the direction of cylindrical extension. In addition, the detection module 30 and the sensor module 20 are connected by a predetermined cable.

[0053] (Structure of Sensor Module 20)

[0054] Figure 3 (A) is a side view showing a schematic structure of a sensor module. Figure 3 (B) is a plan view showing a schematic structure of the sensor module.

[0055] like Figure 3 (A) Figure 3 As shown in (B), the sensor module 20 is in a flat film shape. The sensor module 20 includes a flat film-shaped piezoelectric sensor 21, a thin signal processing circuit module 22M, a flat film-shaped transmission cable 220C, and a connection terminal 220M.

[0056] The piezoelectric sensor 21 is a roughly rectangular sheet having a length Lp and a width Wp. The length Lp is greater than the width Wp (Lp>Wp). The signal processing circuit module 22M is formed by the electronic components and substrate that constitute the signal processing unit 22. Figure 3 (A) Figure 3 The structure of specific electronic components is omitted in (B). The signal processing circuit module 22M is arranged in parallel with the piezoelectric sensor 21 and is connected to the piezoelectric sensor 21 through a flat cable or the like. One end of the transmission cable 220C in the extending direction is connected to the signal processing circuit module 22M. A connection terminal 220M composed of a conductor is formed at the other end of the transmission cable 220C in the extending direction.

[0057] (Structure and Output Signal of Piezoelectric Sensor 21)

[0058] Figure 4 FIG. 1 is a side cross-sectional view showing the simplified structure of a piezoelectric sensor. Figure 4As shown, the piezoelectric sensor 21 includes a piezoelectric body 201 , a detection electrode 202 , an adhesive layer 203 , and an auxiliary plate 204 .

[0059] The piezoelectric body 201 is a rectangular film having a main surface. For example, the length Lp of the piezoelectric body 201 is about 40 mm, the width Wp is about 10 mm, and the thickness is less than 0.3 mm. In addition, the size of the piezoelectric body 201 is not limited thereto and can be appropriately set according to the object of observation. The piezoelectric body 201 is composed of, for example, a material with polylactic acid (PLLA) as the main component or a material with aluminum nitride (AlN) as the main component.

[0060] The detection electrodes 202 are bonded to both main surfaces of the piezoelectric body 201 using adhesive layers 203. The detection electrodes 202 are preferably made of a material with high conductivity, such as copper (Cu). The adhesive layer 203 is preferably as thin as possible.

[0061] The auxiliary plate 204 is arranged on the opposite side of the piezoelectric body 201 in the detection electrode 202. At this time, the main surface of the auxiliary plate 204 is parallel to the main surface of the piezoelectric body 201.

[0062] In such a structure, for example, when bending displacement occurs in a direction perpendicular to the main surface of the piezoelectric body 201, charges of opposite characteristics are generated on the two detection electrodes 202. Due to the amount of charge, a magnetic field is generated between the two detection electrodes 202. Figure 5 The voltage shown. Figure 5 2 is a graph showing the relationship between the bending displacement and voltage of the piezoelectric body 201. Thus, by detecting the voltage, that is, the charge amount, of the piezoelectric sensor 21, the bending displacement of the piezoelectric sensor 21 can be detected. Figure 2 As shown, by configuring the piezoelectric sensor 21, the deformation of the mounting surface of the piezoelectric sensor 21 caused by the expansion and contraction of the Achilles tendon 901 causes bending displacement in the piezoelectric sensor 21. Therefore, by detecting the voltage of the piezoelectric sensor 21, the expansion and contraction of the Achilles tendon 901 can be detected.

[0063] Furthermore, the piezoelectric body 201 of the piezoelectric sensor 21 also generates electric charge according to the tiny vibration. By detecting the voltage of the piezoelectric sensor 21, it is possible to detect not only the expansion and contraction of the Achilles tendon 901 but also the tremor of the Achilles tendon 901. Thus, it is not necessary to separately provide a sensor for detecting the expansion and contraction of a tendon or muscle and a sensor for detecting the tremor of a tendon or muscle. As a result, a sensor capable of detecting the expansion and contraction and tremor of a tendon or muscle can be realized with a simple structure.

[0064] In addition, the auxiliary plate 204 preferably has the following characteristics. The auxiliary plate 204 only needs to be harder than the piezoelectric body 201. Here, the so-called hardness is an indicator of the difficulty of bending. For example, the bending modulus of elasticity of the auxiliary plate 204 is higher than the bending modulus of elasticity of the piezoelectric body 201. In addition, as another indicator, when the piezoelectric body 201 is made of the above-mentioned material, the Young's modulus of the auxiliary plate 204 is preferably about 4 GPa. At this time, the bending modulus of elasticity or the Young's modulus of the auxiliary plate 204 can be set so that the amount of charge generated for the same vibration size is greater when the auxiliary plate 204 is used compared to the method of using only the piezoelectric body 201 without using the auxiliary plate 204.

[0065] As a result, the piezoelectric sensor 21 can detect the vibration of the Achilles tendon 901 with higher sensitivity.

[0066] (Structure and Processing of Signal Processing Unit 22)

[0067] Figure 6 is a block diagram showing the structure of the signal processing unit. Figure 6 As shown, the signal processing unit 22 includes a tremor signal extraction circuit 221 , a stretch signal extraction circuit 222 , an amplifier circuit 223 , an amplifier circuit 224 , a filter circuit 225 , and a filter circuit 226 .

[0068] The tremor signal extraction circuit 221 and the stretch signal extraction circuit 222 are each composed of a charge amplifier circuit. At this time, the time constant of the charge amplifier of the tremor signal extraction circuit 221 is set to extract the tremor signal. In addition, the time constant of the charge amplifier of the stretch signal extraction circuit 222 is set to extract the stretch signal. For example, the time constant of the charge amplifier of the tremor signal extraction circuit 221 is smaller than the time constant of the charge amplifier of the stretch signal extraction circuit 222.

[0069] Figure 7 This is a waveform diagram used to explain the concept of extracting the stretch signal and the tremor signal. Figure 7 In the figure, the horizontal axis represents time and the vertical axis represents voltage, showing the expansion and contraction of the tendon. Figure 8 is a waveform diagram showing an example of the waveform of the tremor signal. Figure 5 A diagram of the output waveform of the piezoelectric sensor 21 is described.

[0070] If there is stretching of the tendon, Figure 5 As shown in FIG. 1 , the voltage changes greatly. In the piezoelectric sensor 21 alone, Figure 5 Here, by appropriately setting the time constant of the expansion signal extraction circuit 222, as shown in FIG. Figure 7 As shown, the voltage variation caused by the expansion and contraction of the tendon can be output as a roughly square wave.

[0071] In addition, the voltage fluctuation accompanying the vibration of the tendon is small. However, the voltage fluctuation accompanying the vibration of the tendon has a frequency component of about 10 Hz. Therefore, by appropriately setting the time constant of the tremor signal extraction circuit 121, as shown in FIG. Figure 8 As shown, it is possible to output small and periodic voltage changes caused by the vibration of the tendon.

[0072] The signal processed by the tremor signal extraction circuit 221 is input to the amplifier circuit 223. The signal processed by the stretch signal extraction circuit 222 is input to the amplifier circuit 224.

[0073] The amplifier circuit 223 amplifies the output signal of the tremor signal extraction circuit 221 and outputs it to the filter circuit 225. The amplifier circuit 224 amplifies the output signal of the stretch signal extraction circuit 222 and outputs it to the filter circuit 226. The amplification factor of the amplifier circuit 223 and the amplification factor of the amplifier circuit 224 are appropriately set, but the amplification factor of the amplifier circuit 223 is preferably higher than the amplification factor of the amplifier circuit 224. As a result, the detection sensitivity of the tremor signal in the detection module 30 is improved.

[0074] The filter circuit 225 extracts the frequency component near 10 Hz and attenuates the AC noise component and the DC component. Figure 8 The vibration signal corresponding to the vibration shown in the figure.

[0075] Furthermore, the amplitude of the tremor signal changes according to the magnitude of the tremor. Specifically, the greater the tremor, the greater the amplitude of the tremor signal.

[0076] like Figure 8 As shown in FIG. 1 , the vibration signal is a signal of a predetermined frequency (for example, about 10 Hz). The amplitude of the vibration signal varies according to the load state of the biological body. Specifically, for example, if there is almost no load generated, such as when the biological body is in a quiet state, Figure 8 As shown in the waveform on the left, the amplitude of the tremor signal is extremely small. In addition, when the biological body is in a posture-maintaining state and the load generated is small (for example, when the biological body maintains its posture against gravity in a static state), as shown in FIG. Figure 8 As shown in the waveform in the center, the amplitude of the tremor signal reaches a predetermined level (intensity). In addition, when the biological body is in a posture-maintaining state and the load generated is large (for example, when the biological body maintains postures in sequence while moving), as shown in FIG. Figure 8 As shown in (waveform on the right), the amplitude of the tremor signal further increases.

[0077] The filter circuit 226 extracts the frequency component lower than 10 Hz, more specifically, the DC component. Thus, the signal output from the filter circuit 226 becomes Figure 7 The components with larger displacement (excluding the overlapping components) become the stretch signals corresponding to the stretch.

[0078] Furthermore, the amplitude of the stretched signal changes according to the size of the stretch. Specifically, the larger the stretch, the larger the amplitude of the stretched signal.

[0079] Fig. 9 : is a waveform diagram showing an example of the waveform of the stretch signal. Fig. 9 As shown in FIG. 1 , the stretch signal is a signal corresponding to the movement of the organism, for example, a signal with a lower frequency than the tremor signal and a substantially DC component. The amplitude of the stretch signal varies according to the load state of the organism. Specifically, if the organism is in a quiet state and does not move, Fig. 9 As shown in the waveform on the left, the amplitude of the stretch signal is approximately equal to the reference voltage. In addition, when a small movement of tendon or muscle stretching occurs in a living body (low-load movement), Fig. 9 As shown in the waveform in the center, the amplitude of the stretch signal reaches a predetermined level (intensity). In addition, when a large movement (high load movement) of tendon or muscle stretching occurs in a living body, Fig. 9 As shown in (waveform on the right), the amplitude of the stretch signal further increases.

[0080] Thus, by using the signal processing unit 22, the sensor module 20 can obtain and output the expansion and contraction signals and the vibration signals from the voltage generated in the piezoelectric sensor 21. At this time, the sensor module 20 can extract and output the expansion and contraction signals and the vibration signals of the amplitude corresponding to the load state of the tendon or muscle of the observed object.

[0081] (Structure and Processing of Detection Module 30)

[0082] Fig.10 is a block diagram showing the structure of the detection module. Fig.10 As shown, the detection module 30 includes a tremor signal detection unit 311, a stretch signal detection unit 312, and a state analysis unit 313. In addition, the detection module 30 only needs to include at least the tremor signal detection unit 311 and the stretch signal detection unit 312. The detection module 30 can be implemented by an MCU or the like.

[0083] The tremor signal is input to the tremor signal detection unit 311 from the signal processing unit 22. The tremor signal detection unit 311 detects the level (amplitude) of the tremor signal and outputs it to the state analysis unit 313. The stretch signal is input to the stretch signal detection unit 312 from the signal processing unit 22. The stretch signal detection unit 312 detects the level (amplitude) of the stretch signal and outputs it to the state analysis unit 313.

[0084] The state analysis unit 313 analyzes the activity state of the tendon or muscle of the observation object using the level of the tremor signal and the level of the stretch signal. Fig.11 This is a diagram showing an example of an analysis table of activity status.

[0085] (Isometric contraction occurs but isotonic contraction does not occur)

[0086] like Fig.11 As shown, when isometric contraction occurs instead of isotonic contraction, the amplitude of the tremor signal increases, and the amplitude of the stretch signal does not change. Therefore, if the average amplitude of the tremor signal in a specified unit time is greater than the threshold value THa, and the change in the average amplitude of the stretch signal in a specified unit time is less than the threshold value THb (typically, a state where there is substantially no change from the reference value, etc.), the state analysis unit 313 determines that isometric contraction occurs instead of isotonic contraction. In addition, the state in which the average amplitude of the tremor signal in a specified unit time is greater than the threshold value THa is Figure 8 The loaded state (corresponding to Figure 8 The central waveform, Figure 8 The waveform on the right side of the diagram). In addition, the state where the change in the average amplitude of the stretch signal per predetermined unit time is less than the threshold value THb, or the state where the average amplitude of the stretch signal does not substantially change from the reference value is Fig. 9 The state without motion in Fig. 9 waveform on the left).

[0087] (Isotonic contraction occurs but isometric contraction does not occur)

[0088] like Fig.11 As shown in FIG. 1 , when isometric contraction occurs instead of isotonic contraction, the amplitude of the tremor signal increases and the amplitude of the stretch signal changes. Therefore, if the average amplitude of the tremor signal in a predetermined unit time is greater than the threshold value THa, and the change in the average amplitude of the stretch signal in a predetermined unit time is greater than the threshold value THb, the state analysis unit 313 determines that isotonic contraction occurs instead of isometric contraction. In addition, the state in which the amplitude of the stretch signal changes is Fig. 9 The state of motion in Fig. 9 The central waveform and Fig. 9 waveform on the right side of the image).

[0089] (Situations that produce passive motion)

[0090] Passive motion means a state where a living body having tendons or muscles of the observed object moves unconsciously due to external force applied thereto, for example, a state where the foot moves due to external force by a therapist or nursing equipment during rehabilitation.

[0091] like Fig.11 As shown in FIG. 1 , when passive motion occurs, the amplitude of the tremor signal decreases and the amplitude of the stretch signal changes. Therefore, if the amplitude of the tremor signal is less than the threshold value THa and the change in the amplitude of the stretch signal is greater than the threshold value THb, the state analysis unit 313 determines that the state is a state of passive motion. In addition, the state in which the amplitude of the tremor signal is less than the threshold value THa is Figure 8 The no-load state (corresponding to Figure 8 waveform on the left).

[0092] (Quiet state)

[0093] The resting state means a state in which no movement is performed, no load is applied to maintain the posture, and no passive movement is performed.

[0094] like Fig.11 As shown, in the quiet state, the amplitude of the tremor signal decreases, and the amplitude of the stretch signal does not change. Therefore, if the amplitude of the tremor signal is smaller than the threshold THa and the amplitude of the stretch signal is smaller than the threshold THb, the state analysis unit 313 determines that it is a quiet state.

[0095] In this way, by using the signal from the sensor module 20, the detection module 30 can respectively detect the state where only isometric contraction occurs, the state where isotonic contraction occurs, the state where passive movement occurs, and the rest state.

[0096] In the above description, the processing of the muscle activity observation device 10 is realized by a plurality of functional units. However, a method may be used in which a muscle activity observation method as shown below is programmed and stored in a storage unit, and the program is read and executed by a computing device.

[0097] Fig.12 This is a diagram showing the flow of the muscle activity observation method. Fig.13 Detailed description of each process is omitted as it is described above.

[0098] The computing device obtains the output signal of the sensor (S11). The computing device extracts the tremor signal from the output signal of the sensor and amplifies the tremor signal (S12). The computing device extracts the stretch signal from the output signal of the sensor and amplifies the stretch signal (S13). In addition, the order of the processing of step S12 and the processing of step S13 is not limited to this, and can be reversed or processed simultaneously in parallel.

[0099] The computing device detects the level of the tremor signal (S14). The computing device detects the amount of change in the stretch signal (S15). The order of the processing of step S14 and the processing of step S15 is not limited to this, and they may be reversed or processed simultaneously in parallel.

[0100] The computing device uses the level of the tremor signal and the amount of change of the stretch signal to analyze the state of the tendon or muscle of the observed object (S13). Specifically, if the average level of the tremor signal is greater than the threshold value THa (S161: Yes), and the average amount of change of the stretch signal is greater than the threshold value THb (S162: Yes), the computing device determines that isotonic contraction occurs (S163). If the average level of the tremor signal is greater than the threshold value THa (S161: Yes), and the average amount of change of the stretch signal is less than the threshold value THb (S162: No), the computing device determines that isometric contraction occurs (S164). If the average level of the tremor signal is less than the threshold value THa (S161: No), and the average amount of change of the stretch signal is greater than the threshold value THb (S165: Yes), the computing device determines that it is a passive movement (S166). If the average level of the tremor signal is less than the threshold value THa (S161: No), and the average amount of change of the stretch signal is less than the threshold value THb (S165: No), the computing device determines that it is a resting state (S167). The “average” of the above-mentioned average level and average change amount refers to the average within a predetermined unit time.

[0101] In the above description, the frequency of the tremor is set to about 10 Hz. However, for example, the frequency of the tremor may be 0.5 Hz to 100 Hz, and more preferably 3 Hz to 25 Hz. This is because, in addition to physiological tremor, mechanical movements accompanying involuntary movements also include pathological tremor, myogram, microvibration, and ballistocardiogram. In order to distinguish these signals, a system that measures the tremor at a frequency of 0.5 Hz to 100 Hz is preferred.

[0102] In addition, the center frequency of physiological tremor is 8 Hz to 12 Hz, but there are also frequencies depending on the site. For example, the upper limbs are 3 Hz, and the fingers are 25 Hz. Therefore, it is more preferable to use a system that measures the frequency of tremor at 3 Hz to 25 Hz.

[0103] In the above description, the biological support body 40 is shown as an example in which the biological support body 40 is substantially L-shaped when viewed from the side, but it may also be Fig.14 Shape as shown. Fig.14 This is a side view showing a state where the muscle activity observation device is mounted on a foot.

[0104] like Fig.14 As shown, the living body support body 40A is cylindrical. The living body support body 40A is similar in shape to the first portion 41 of the living body support body 40 described above. The living body support body 40A is configured to cover the ankle 91.

[0105] In addition, Fig.14 In the illustrated structure, the sensor module 20 and the detection module 30 are arranged side by side along the circumferential direction of the cylindrical living body support body 40A, and the sensor module 20 and the detection module 30 are connected by wiring extending along the circumferential direction.

[0106] Thus, by becoming Fig.14 The described structure can simplify the structure of the muscle activity observation device 10, for example, and make it easy to install.

[0107] In the above description, the sensor module 20 is mounted on the foot, but as described below, it can also be mounted on other parts of the body. Fig.15 (A) Fig.15 (B) is a diagram showing the form of being installed on the arm (upper arm) and thigh. Fig.15 (C) Fig.15 (D) is a diagram showing a state in which the device is mounted on a forearm. Fig.16 (A) Fig.16 (B) is a diagram showing the state of being installed on the chest, abdomen, back, and waist.

[0108] like Fig.15 (A) Fig.15 As shown in (B), when the piezoelectric sensor 21 in the sensor module 20 is mounted on the upper arm 991, it is preferable to make the length direction of the piezoelectric sensor 21 in the sensor module 20 orthogonal to the direction in which the upper arm 991 extends. Fig.15 (A) Fig.15 As shown in (B), when mounted on the thigh 992, it is best to make the length direction of the piezoelectric sensor 21 in the sensor module 20 orthogonal to the direction in which the thigh 992 extends. Fig.15 (C) Fig.15 As shown in (D), when the piezoelectric sensor 21 in the sensor module 20 is installed on the forearm 993, it is best to make the length direction of the piezoelectric sensor 21 in the sensor module 20 orthogonal to the direction in which the forearm 993 extends. Fig.15 (A) Fig.15In (B), two sets of the sensor module 20 and the detection module 30 are installed on the installation object, but only one set may be installed.

[0109] In addition, if Fig.16 (A) Fig.16 As shown in (B), when the piezoelectric sensor 21 in the sensor module 20 is mounted on the chest 994 and the back 996, it is preferable to make the length direction of the piezoelectric sensor 21 in the sensor module 20 parallel to the width direction of the chest 994 and the back 996. Fig.16 (A) Fig.16 As shown in (B), when installed on the abdomen 995 and the waist 997, it is best to make the length direction of the piezoelectric sensor 21 in the sensor module 20 parallel to the width direction of the abdomen 995 and the waist 997.

[0110] In addition, for Fig.15 (A) Fig.15 (B) Fig.15 (C) Fig.15 (D) Fig.16 (A) Fig.16 In the mounting form (B), for example, the sensor modules 20 on the front and back sides of the body can be arranged in one living body support body 40A, and a common detection module 30 also arranged in the living body support body 40A can be connected to these sensor modules 20.

[0111] In addition, by setting the foot as the detection object, it is possible to detect tremor signals, etc. with the socks themselves, or to detect tremor signals, etc. from the socks or stockings. In addition, it is possible to detect muscle load and movement of the foot joints at the same time. The legs or feet are installation locations that are far away from human consciousness, making it easy to forget the feeling of installation, and compared with the arms, waist, chest, etc., the discomfort of installing the sensor module 20 can be reduced. If it is installed near the minimum circumference of the calf, it is not affected by the presence or absence of shoes or socks. It is possible to detect and observe the tibialis anterior, soleus, gastrocnemius, daily life movements, posture maintenance, and important muscles during walking. If installed on both legs, it can be used for analysis and quantification of walking, jogging, lower limb training, lower limb rehabilitation, etc.

[0112] (Second Embodiment)

[0113] A muscle activity observation device according to a second embodiment of the present invention will be described with reference to the drawings. Fig.17 It is a block diagram showing the structure of the muscle activity observation device according to the second embodiment. Fig.18 (A) is a side view showing a state where the muscle activity observation device is installed on a foot, Fig.18 (B) is a top view showing the state where the muscle activity observation device is installed on the foot.

[0114] like Fig.17 As shown, the muscle activity observation device 10A involved in the second embodiment is different from the muscle activity observation device 10 involved in the first embodiment in that it includes a sensor module 20A, a sensor module 20B, a sensor module 20C, and a processing unit 31A. The other structures of the muscle activity observation device 10A are the same as those of the muscle activity observation device 10, and the description of the same positions is omitted.

[0115] The sensor module 20A, the sensor module 20B, and the sensor module 20C perform the same structure and processing as the sensor module 20 involved in the first embodiment. Fig.18 (A) Fig.18 As shown in (B), the piezoelectric sensor 21A of the sensor module 20A is installed at the minimum circumference of the calf 90 so as to overlap with the Achilles tendon 901. The piezoelectric sensor 21B of the sensor module 20B is installed to overlap with the tibialis anterior tendon 902. The piezoelectric sensor 21C of the sensor module 20C is installed to overlap with the peroneus longus tendon 903. That is, the muscle activity observation device 10A sets the detection positions of the tendon or muscle activity to multiple.

[0116] The sensor module 20A, the sensor module 20B, and the sensor module 20C output the vibration signal and the expansion and contraction signal respectively extracted to the detection unit 31A of the detection module 30A.

[0117] The detection unit 31A detects isometric contraction, isotonic contraction, passive exercise, or resting state similarly to the above-mentioned detection unit 31 , and analyzes the movement state of the foot. Fig.19 This is a table showing an example of the relationship between a part, an action, and a tendon or a muscle of an object.

[0118] If the detection unit 31A detects isotonic contraction based on the vibration signal and the stretch signal of the sensor module 20A, the stretch of the Achilles tendon 901 is detected. If the detection unit 31A detects isotonic contraction from the vibration signal and the stretch signal of the sensor module 20B, the stretch of the tibialis anterior tendon 902 is detected. If the detection unit 31A detects isotonic contraction based on the vibration signal and the stretch signal of the sensor module 20C, the stretch of the peroneus longus tendon 903 is detected.

[0119] The detection unit 31A detects the movement state of the foot (calf) using the expansion and contraction of the Achilles tendon 901, the expansion and contraction of the tibialis anterior tendon 902, and the expansion and contraction of the peroneus longus tendon 903. Fig.19 As shown in FIG. 1 , if the detection unit 31A detects the contraction of the Achilles tendon 901 (contraction of the soleus muscle, gastrocnemius muscle, etc.), it is determined that there is flexion (plantar flexion) or inversion of the foot. Fig.19As shown in FIG. 1 , if the detection unit 31A detects the contraction and extension of the tibialis anterior tendon 902 (contraction and extension of the tibialis anterior muscle), it is determined that there is extension (dorsiflexion) of the foot. Fig.19 As shown, the detection unit 31A determines that the foot is in valgus if it detects the contraction and extension of the peroneus longus tendon 903. In this way, the muscle activity observation device 10A can determine various movement states of the foot.

[0120] In addition, for other than the feet, by implementing the above Fig.15 (A) Fig.15 (B) Fig.15 (C) Fig.15 (D) Fig.16 (A) Fig.16 The installation form shown in (B) is as follows, Fig.19 As shown, the action status of other parts is also detected.

[0121] For example, if the contraction and retraction of the quadriceps femoris is detected, the flexion of the knee (thigh) can be determined. If the contraction and retraction of the hamstrings is detected, the extension of the knee (thigh) can be determined. If the contraction and retraction of the palmar flexor muscles (flexor digitorum profundus / flexor digitorum superficialis / flexor pollicis longus, etc.) are detected, the flexion (palmar flexion) of the hand and fingers can be determined. If the contraction and retraction of the dorsiflexor muscles (extensor digitorum, etc.) are detected, the extension (dorsiflexion) of the hand and fingers can be determined. If the contraction and retraction of the biceps brachii is detected, the flexion of the elbow (upper arm) can be determined. If the contraction and retraction of the triceps brachii is detected, the extension of the elbow (upper arm) can be determined. If the contraction and retraction of the rectus abdominis is detected, the flexion of the abdomen and waist (flexion of the spine) can be determined. If the contraction and retraction of the intrinsic dorsal muscles (erector spinae, etc.) are detected, the extension of the abdomen and waist (posterior flexion of the spine) can be determined. If the contraction and retraction of the pectoralis major is detected, the flexion (contraction) of the chest can be determined. If the contraction and retraction of the latissimus dorsi is detected, the extension of the chest can be determined.

[0122] (Third Embodiment)

[0123] A muscle activity observation device according to a third embodiment of the present invention will be described with reference to the drawings. Fig. 20 (A) is a block diagram showing the structure of the muscle activity observation device involved in the third embodiment. Fig. 20 (B) is a block diagram showing the structure of the signal processing unit.

[0124] like Fig. 20 As shown in (A), the muscle activity observation device 10B according to the third embodiment is different from the muscle activity observation device 10 according to the first embodiment in that it includes a signal processing unit 22B and a sensor module 20B. The other structures of the muscle activity observation device 10B are the same as those of the muscle activity observation device 10, and the description of the same positions is omitted.

[0125] The signal processing unit 22B further includes a transmission control unit 227 in comparison with the signal processing unit 22. The transmission control unit 227 is connected to the filter circuit 225 and the filter circuit 226. The transmission control unit 227 transmits the tremor signal and the stretch signal to the detection unit 31 in a time-division manner.

[0126] With such a configuration, the structure of the communication cable connecting the sensor module 20B and the detection module 30 can be simplified.

[0127] (Fourth Embodiment)

[0128] A muscle activity observation device according to a fourth embodiment of the present invention will be described with reference to the drawings. Fig.21 It is a block diagram showing the configuration of a sensor module in the muscle activity observation device according to the fourth embodiment.

[0129] like Fig.21 As shown, the sensor module 20C is different from the sensor module 20 in that it does not include the piezoelectric sensor 21 but includes a vibration observation sensor 21tr and a telescopic observation sensor 21tm. The other structures of the sensor module 20C are the same as those of the sensor module 20, and the description of the same parts is omitted.

[0130] The tremor observation sensor 21tr is a sensor for detecting the above-mentioned tremor signal. For example, the tremor observation sensor 21tr is implemented by an acceleration sensor, a microphone, etc. In addition, the tremor observation sensor 21tr may also be implemented by a piezoelectric sensor 21. In addition, the tremor observation sensor 21tr may be other sensors as long as it is a sensor that can detect a signal of about 10 Hz.

[0131] The vibration observation sensor 21tr outputs the electrical change based on the vibration to the vibration signal extraction circuit 221 of the signal processing unit 22C.

[0132] The telescopic observation sensor 21tm is a sensor for detecting the telescopic signal. For example, the telescopic observation sensor 21tm is implemented by the piezoelectric sensor 21. In addition, the telescopic observation sensor 21tm may be other sensors as long as the state changes according to the telescopic movement of the tendon or muscle of the observed object and an electrical signal corresponding to the state change is obtained. As other sensors, for example, a pressure-sensitive sensor using a pressure-sensitive film, a pressure sensor for detecting the strain change caused by the deformation of the diaphragm and the change in electrostatic capacitance, a load sensor, etc. may be used.

[0133] The contraction and extension observation sensor 21tm outputs the electrical change based on the contraction and extension of the tendon or muscle to the contraction and extension signal extraction circuit 222 of the signal processing unit 22C.

[0134] As in the sensor module 20C, the sensor for detecting the vibration signal and the sensor for detecting the expansion signal may be formed separately. In this case, the auxiliary board of the sensor for detecting the vibration signal and the auxiliary board of the sensor for detecting the expansion signal may be a board having a material or characteristics suitable for detecting each signal.

[0135] (Fifth Embodiment)

[0136] A muscle activity observation device according to a fifth embodiment of the present invention will be described with reference to the drawings. Fig. 22 It is a block diagram showing the configuration of a sensor module in the muscle activity observation device according to the fifth embodiment.

[0137] like Fig. 22 As shown, the muscle activity observation device 10D according to the fifth embodiment is different from the muscle activity observation device 10 according to the first embodiment in that a noise observation sensor 50 and a processing of the detection unit 31D are added. The other structures of the muscle activity observation device 10D are the same as those of the muscle activity observation device 10, and the description of the same positions is omitted.

[0138] The noise observation sensor 50 is, for example, an acceleration sensor, and detects the motion of a part of a living body to be observed, thereby generating motion noise. The noise observation sensor 50 outputs the motion noise to the detection unit 31D.

[0139] The detection unit 31D uses the motion noise to suppress noise included in the tremolo signal and the stretch signal.

[0140] With this configuration, the detection unit 31D can analyze the movement state of the tendon or muscle with higher accuracy.

[0141] In addition, in the structure of each embodiment, the detection of the tremor signal can also be used to start the muscle activity observation device. For example, the muscle activity observation device only observes the level of the tremor signal as a sleep mode. Moreover, when the muscle activity observation device detects that the level of the tremor signal becomes above the threshold value THa, it starts from the sleep mode and observes the tremor signal and the stretch signal. As a result, the muscle activity observation device saves power.

[0142] In each embodiment, the piezoelectric sensor is mounted using the living body support body 40. However, the piezoelectric sensor may be directly mounted on the living body without using the living body support body 40.

[0143] In the above description, the piezoelectric sensor is arranged to overlap with a specific tendon near the ankle. However, the arrangement position of the piezoelectric sensor is not limited to this, as long as it overlaps with the tendon or muscle of the observed object, and even if it does not overlap with the tendon or muscle, it can be a position affected by the movement of the tendon or muscle.

[0144] In addition, in the above description, as the material of the piezoelectric body of the piezoelectric sensor, a method of using polylactic acid and aluminum nitride is shown. However, as the material of the piezoelectric body, as an inorganic piezoelectric material, crystal, PZT and (Pb, La) (Zr, Ti) OX perovskite compound (PZLT) as piezoelectric ceramics, lead zirconate niobate-lead titanate solid solution (PZN-PT) as a piezoelectric single crystal, lead magnesium niobate-lead titanate solid solution (PMN-PT), lithium niobate (LiNbO3), lithium tantalate (LiTaO3), potassium niobate (KNbO3), zinc oxide (ZnO) and other thin films can be used. In addition, as organic piezoelectric materials, polyvinylidene fluoride, polyvinylidene fluoride copolymers, polyvinylidene cyanide, vinylidene cyanide copolymers, nylon 9, nylon 11 and other odd nylons, aromatic nylons, alicyclic nylons, polyhydroxycarboxylic acids such as polyhydroxybutyrate, cellulose derivatives, and polyurea are listed.

[0145] In the above description, the living body support body 40 is in a tubular shape, but it may be in a belt shape or may be a piece of clothing such as socks.

[0146] In addition, the structures of the muscle activity observation devices shown in the above-mentioned embodiments can be combined as appropriate to obtain the effects corresponding to each combination.

[0147] In addition, in the above description, tremor and contraction are used to analyze the state of the tendon or muscle of the observed object. However, it is also possible to perform analysis using only tremor. When only tremor is used, the structure of the device can be simplified in the quantitative analysis that does not require muscle contraction (bending). Not only the position of the tendon, but also the degree of freedom of the setting location such as the muscle belly is increased. As mentioned above, an acceleration sensor or a microphone (high-sensitivity microphone) can be used instead of the piezoelectric film.

[0148] (Configuration example of muscle activity monitoring system)

[0149] In e.g. Fig.23 , Fig.24 The muscle activity observation system shown in the above-mentioned embodiments can adopt the muscle activity observation device shown in the above-mentioned embodiments. In addition, although the following describes a mode using the muscle activity observation device 10 according to the first embodiment, the muscle activity observation devices of other embodiments can also be used.

[0150] Fig.23 FIG. 1 is a block diagram showing a first embodiment of a muscle activity observation system. Fig.23 As shown, the muscle activity observation system 1 includes a muscle activity observation device 10 and a server 60 .

[0151] The server 60 includes, for example, a server control unit 61, a communication unit 62, and a database 610. The server control unit 61 performs overall control of the server 60. The server control unit 61 also registers and reads analysis results of tendon or muscle activity and foot motion states in the database 610.

[0152] The communication unit 62 performs data communication with the communication unit 32 of the muscle activity observation device 10. The communication unit 62 receives the analysis results of the tendon or muscle activity and the movement state of the foot from the muscle activity observation device 10, and outputs them to the server control unit 61. The communication between the communication unit 62 and the communication unit 32 may be wireless communication or wired communication.

[0153] With such a configuration, the analysis results of tendon or muscle activities obtained by the muscle activity observation device 10, the movement status of the foot, etc. are stored in a database, and the user can use them as needed.

[0154] Fig.24 FIG. 2 is a block diagram showing a second embodiment of the muscle activity observation system. Fig.24 As shown, the muscle activity observation system 1A includes a muscle activity observation device 10 and an information terminal 70 .

[0155] The information terminal 70 includes, for example, a calculation unit 71 , a communication unit 72 , a storage unit 73 , a display unit 74 , and an operation unit 75 .

[0156] The operation unit 71 performs overall control of the information terminal 70. The communication unit 72 performs data communication with the communication unit 32 of the muscle activity observation device 10. The communication between the communication unit 72 and the communication unit 32 may be wireless communication or wired communication. The communication unit 72 receives the analysis results of the activities of the tendons or muscles and the movement status of the feet from the muscle activity observation device 10, and outputs them to the operation unit 71. The storage unit 73 stores an application 730. In addition, the storage unit 73 stores the analysis results of the activities of the tendons or muscles and the movement status of the feet received via the communication unit 72. The display unit 74 is composed of a liquid crystal display or the like. The operation unit 75 is composed of a touch panel or the like.

[0157] The calculation unit 71 reads and executes the application program 730 from the storage unit 73 in accordance with the operation input from the operation unit 75. The application program 730 is a program for visualizing, for example, the analysis results of tendon or muscle activities, the movement state of the foot, and the like.

[0158] The calculation unit 71 executes the application 730. At this time, the calculation unit 71 executes the application 730 using the analysis results of the tendon or muscle activity and the movement state of the foot received by the communication unit 72 or stored in the storage unit 73. The calculation unit 71 causes the display unit 74 to display the execution result of the application 730.

[0159] With such a configuration, while observing the analysis results of tendon or muscle activities, the movement state of the foot, and the like using the muscle activity observation device 10 , the user can easily visually confirm the observation results.

[0160] The various structures of the muscle activity observation system described above can be appropriately combined to obtain the effects corresponding to each combination.

[0161] Description of Reference Numerals

[0162] 1, 1A... muscle activity observation system; 10, 10A, 10B, 10D... muscle activity observation device; 20, 20A, 20B, 20C... sensor module; 21, 21A, 21B, 21C... piezoelectric sensor; 21tm, 21tr... tremor observation sensor; 22, 22B, 22C... signal processing unit; 22M... signal processing circuit module; 30, 30A... detection module; 31, 31A, 31D... detection unit; 32... communication unit; 33... power supply; 40, 40A... biological body support; 41... first part; 42... second part; 43... hole; 50... noise observation sensor; 60... server; 61... server control unit; 62... communication unit; 70... information terminal; 71... operation unit; 72... communication unit; 73... storage unit; 74... display unit; 75... operation unit; 12 1…tremor signal extraction circuit; 201…piezoelectric body; 202…detection electrode; 203…adhesive layer; 204…auxiliary board; 220C…transmission cable; 220M…connection terminal; 221…tremor signal extraction circuit; 222…extension signal extraction circuit; 223, 224…amplification circuit; 225, 226…filter circuit; 227…transmission control unit; 311…tremor signal detection unit; 312 …extension signal detection unit; 313…state analysis unit; 610…database; 730…application; 90…minimum calf circumference; 91…ankle; 92…instep; 93…heel; 94…sole; 901…Achilles tendon; 902…tibialis anterior tendon; 903…peroneus longus tendon; 991…upper arm; 992…thigh; 993…forearm; 994…chest; 995…abdomen; 996…back; 997…waist.

Claims

1. A muscle activity observation device, comprising: The first sensor changes the output according to the vibration of the tendon or muscle; A second sensor that changes its output according to the contraction and extension of the tendon or the muscle; and The detection unit uses the output signal of the first sensor, i.e., the tremor signal, and the output signal of the second sensor, i.e., the stretch signal, to detect at least whether an isotonic contraction state or an isometric contraction state is generated as the activity state of the tendon or the muscle. If the average amplitude of the tremor signal in the specified unit time is greater than a threshold value, and the change in the average amplitude of the stretch signal in the specified unit time is less than the threshold value, it is determined that isometric contraction has occurred but isotonic contraction has not occurred. If the average amplitude of the tremor signal in the specified unit time is greater than a threshold value, and the change in the average amplitude of the stretch signal in the specified unit time is greater than the threshold value, it is determined that isotonic contraction has occurred but isotonic contraction has not occurred.

2. The muscle activity observation device according to claim 1, wherein: The detection unit further detects whether it is a resting state as the activity state of the tendon or the muscle. If the amplitude of the tremor signal is smaller than a threshold value, and the amplitude of the stretch signal is smaller than a threshold value, it is determined to be a quiet state.

3. The muscle activity observation device according to claim 1, wherein: The first sensor and the second sensor are formed by one sensor.

4. The muscle activity observation device according to claim 3, wherein: The one sensor is a piezoelectric sensor.

5. The muscle activity observation device according to claim 4, wherein: The piezoelectric sensor is rectangular with a main surface and is in a sheet shape.

6. The muscle activity observation device according to claim 5, wherein: The piezoelectric sensor includes an auxiliary plate that is arranged parallel to the main surface and is harder than a piezoelectric body constituting the piezoelectric sensor.

7. The muscle activity observation device according to claim 5, wherein: The piezoelectric sensor is arranged so that the length direction of the rectangle is substantially orthogonal to the direction in which the tendon or the muscle extends.

8. The muscle activity observation device according to any one of claims 1 to 7, wherein: There are multiple groups of the first sensor and the second sensor. The detection section detects the activity state of the tendon or the muscle using the outputs of the plurality of groups of the first sensors and the outputs of the second sensors.

9. The muscle activity observation device according to any one of claims 1 to 7, wherein: The detection unit detects the movement of a part of a living body including the tendon or the muscle based on the activity state of the tendon or the muscle.

10. The muscle activity observation device according to any one of claims 1 to 7, wherein: The muscle activity observation device includes a living body support body having a shape matching the outer shape of a living body including the tendon or the muscle. The first sensor and the second sensor are attached to the living body support.

11. The muscle activity observation device according to claim 10, wherein: The biological support is mounted on a human foot and has a first portion covering an ankle. The first part is cylindrical when mounted on a foot of a human body.

12. The muscle activity observation device according to claim 11, wherein: The living body support further includes a second portion which is in a tubular shape covering the instep to the sole and is connected to the first portion.

13. The muscle activity observation device according to any one of claims 1 to 7, wherein: The muscle activity observation device includes a signal processing unit, which extracts a tremor signal from the output of the first sensor, extracts a stretch signal from the output of the second sensor, amplifies the tremor signal and the stretch signal, and outputs the amplified signals to the detection unit. The detection unit detects an activity state of the tendon or the muscle using the tremor signal and the stretch signal.

14. The muscle activity observation device according to claim 13, wherein: The signal processing section outputs the tremolo signal and the stretch signal.

15. The muscle activity observation device according to any one of claims 1 to 7, wherein: The muscle activity observation device includes a communication unit that communicates the detection result of the detection unit to the outside.

16. A muscle activity observation device, comprising: A sensor, comprising a group of a first sensor and a second sensor or a third sensor, wherein: The first sensor changes its output according to vibration corresponding to the activity of the tendon or muscle, the second sensor changes its output according to expansion and contraction corresponding to the activity of the tendon or muscle, and the third sensor changes its output according to vibration and expansion and contraction corresponding to the activity of the tendon or muscle; A biological body support body, on which the sensor is mounted, and which has a shape that matches the shape of the biological body including the tendon or the muscle; as well as a detection unit that detects the activity state of at least one of the Achilles tendon, the tibialis anterior tendon, and the peroneus longus tendon using the vibration signal and the extension signal from the sensor, The biological support is mounted on a human foot and has a first portion covering an ankle. The first part is cylindrical when mounted on a human foot. If the average amplitude of the tremor signal in the specified unit time is greater than a threshold value, and the change in the average amplitude of the stretch signal in the specified unit time is less than the threshold value, it is determined that isometric contraction has occurred but isotonic contraction has not occurred. If the average amplitude of the tremor signal in the specified unit time is greater than a threshold value, and the change in the average amplitude of the stretch signal in the specified unit time is greater than the threshold value, it is determined that isotonic contraction has occurred but isotonic contraction has not occurred.

17. The muscle activity observation device according to claim 16, wherein: The sensor is a piezoelectric sensor and also functions as a sensor whose output changes according to the expansion and contraction of the tendon or the muscle.

18. The muscle activity observation device according to claim 17, wherein: The piezoelectric sensor is rectangular with a main surface and is in a sheet shape.

19. The muscle activity observation device according to claim 18, wherein: The piezoelectric sensor includes an auxiliary plate that is arranged parallel to the main surface and is harder than a piezoelectric body constituting the piezoelectric sensor.

20. The muscle activity observation device according to claim 18 or 19, wherein: The piezoelectric sensor is arranged so that the length direction of the rectangle is substantially orthogonal to the direction in which the tendon or the muscle extends.

21. The muscle activity observation device according to claim 16, wherein: The sensor includes at least one of an acceleration sensor and a microphone.

22. A muscle activity observation system, comprising: The muscle activity observation device according to any one of claims 1 to 21; and server.

23. The muscle activity monitoring system according to claim 22, wherein: The server forms a database and stores at least one of the analysis result of the activity of the tendon or muscle obtained by the muscle activity observation device and the movement state of the foot.

24. A method for observing muscle activity, Detects tendon or muscle vibration and generates a vibration signal. detecting the contraction and extension of the tendon or the muscle and generating a contraction and extension signal, Using the tremor signal and the stretch signal, at least one of an isotonic contraction state and an isometric contraction state is detected as the activity state of the tendon or the muscle. If the average amplitude of the tremor signal in the specified unit time is greater than a threshold value, and the change in the average amplitude of the stretch signal in the specified unit time is less than the threshold value, it is determined that isometric contraction has occurred but isotonic contraction has not occurred. If the average amplitude of the tremor signal in the specified unit time is greater than a threshold value, and the change in the average amplitude of the stretch signal in the specified unit time is greater than the threshold value, it is determined that isotonic contraction has occurred but isotonic contraction has not occurred.

25. The muscle activity observation method according to claim 24, wherein: The tremor signal and the stretch signal are used to detect whether it is a quiet state as the activity state of the tendon or the muscle. If the amplitude of the tremor signal is smaller than a threshold value, and the amplitude of the stretch signal is smaller than a threshold value, it is determined to be a quiet state.

26. The muscle activity observation method according to claim 24, wherein: The vibration signal and the stretch signal are detected by a sensor.

27. The muscle activity observation method according to claim 26, wherein: The one sensor is a piezoelectric sensor.

28. The muscle activity observation method according to claim 26, wherein: The one sensor is configured so that a direction with high detection sensitivity is substantially orthogonal to a direction in which the tendon or the muscle extends.

29. The muscle activity observation method according to any one of claims 24 to 27, wherein: There are multiple detection positions of the vibration signal and the stretch signal, The activity state of the tendon or the muscle is detected using the tremor signals and the stretch signals of the plurality of detection positions.

30. The muscle activity observation method according to any one of claims 24 to 27, wherein: The movement of a part of a living body having the tendon or the muscle is detected based on the activity state of the tendon or the muscle.

31. The muscle activity observation method according to any one of claims 24 to 27, wherein: The tremor signal and the stretch signal are amplified and used for the detection.

32. The muscle activity observation method according to any one of claims 24 to 27, wherein: The tremor signal and the stretch signal are output in a time-sharing manner.

33. The muscle activity observation method according to any one of claims 24 to 27, wherein: The detection result of the tendon or muscle obtained from the tremor signal and the stretch signal is communicated to the outside.

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