JP2004261390A - Method of judging noise and massaging machine - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method of judging noise and a massaging machine by which noise can be filtered out accurately. <P>SOLUTION: The massaging machine compares temporally continuous peak values (a maximum value and a minimum value) stored in a peak value storing means with each other and, when the difference between the maximum and minimum values is equal to or smaller than a first threshold, judges that the biological information (peak value) detected by means of a sensor is noise. In addition, the massaging machine compares temporally continuous maximum or minimum values stored in the peak value storing means with each other and, when the difference between the maximum or minimum values is equal to or larger than a second threshold, judges that the biological information (peak value) detected by means of the sensor is noise. <P>COPYRIGHT: (C)2004,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a noise determination method and a massage machine applied to a massage machine having a sensor and a calculation unit for detecting biological information, and more particularly, to a user who removes noise of biological information output from a sensor and accurately. The present invention relates to a noise determination method and a massage machine for determining a pulse rate and a mental state of a person.
[0002]
[Prior art]
2. Description of the Related Art In recent years, there has been known a massage machine which detects biological information (pulse, body temperature, and the like) of a user with a sensor, determines a mental state of the user based on the detected biological information, and performs an optimal massage. (For example, Patent Document 1). For example, a photo sensor is used to detect a pulse. FIG. 15 is a circuit configuration diagram showing a configuration of a conventional pulse detection circuit. As shown in the figure, the pulse detection circuit 100 includes a photo sensor 100S, a band-pass filter 101, and a pulse rate calculator 102.
[0003]
As the photo sensor 100S, a reflection type photo sensor is used. Infrared light is output from the infrared light emitting unit 100S1 to the upper part of the housing of the photo sensor 100S, and is irradiated on the finger of the user placed on the upper part of the housing. The reflected infrared light reflected by the finger is received by the infrared light receiving unit 102S. The received infrared light is converted into an electric signal corresponding to the intensity and output to the bandpass filter 101 and the pulse rate calculation unit 102.
[0004]
The band-pass filter 101 includes a high-pass filter and a low-pass filter, and removes noise of an electric signal output from the photo sensor 100S. The electrical signal from which noise has been removed is output to the pulse rate calculation unit 102. The pulse rate calculation unit 102 calculates a pulse rate by analyzing an extreme value of the electric signal.
[0005]
[Patent Document 1]
JP-A-6-209
[0006]
[Problems to be solved by the invention]
When a massage is being performed on the user by the massage machine, the vibration may cause the user's finger to separate from the sensor, which may affect the amount of light received by the sensor. For this reason, there has been a problem that vibration noise is superimposed on the electric signal output from the sensor. Also, even if an attempt is made to remove such vibration noise using a band-pass filter, a part of the frequency of the vibration noise due to the massage operation and the frequency of the pulse wave match, so that the pulse wave signal that should be originally obtained is There was also a problem that it could not be obtained properly.
[0007]
The present invention has been made in view of such circumstances, and a purpose thereof is to store an extreme value of biological information detected by a sensor in association with time information, and to compare a plurality of stored extreme values. Another object of the present invention is to provide a noise determination method and a massage machine capable of accurately removing noise by determining whether detected biological information is noise.
[0008]
[Means for Solving the Problems]
The noise determination method according to the present invention is a noise determination method applied to a massage machine having a sensor for detecting biological information and an arithmetic unit, wherein the arithmetic unit calculates an extreme value of biological information detected from the sensor by time. Comparing the extremum storage step of storing the extremum stored in the extremum storage unit with the arithmetic unit with the extremum storage step of storing in the extremum storage unit in association with the information, and determining whether the biological information detected by the sensor is noise. And a judging step of judging whether or not the judgment is made.
[0009]
The massage machine according to the present invention is a massage machine having a sensor for detecting biological information, wherein the extreme value storage means stores an extreme value of the biological information detected from the sensor in association with time information, and the extreme value storage. Determining means for comparing a plurality of extreme values stored in the means to determine whether or not the biological information detected by the sensor is noise;
[0010]
In the massage machine according to the present invention, the determination unit compares temporally continuous extreme values stored in the extreme value storage unit, and detects a difference with the sensor when the difference is equal to or less than a first threshold value. It is characterized in that the biological information obtained is determined to be noise.
[0011]
In the massage machine according to the present invention, the determination unit compares temporally consecutive local maximum values or local minimum values stored in the extreme value storage unit, and when the difference is equal to or greater than a second threshold value. The biological information detected by the sensor is determined to be noise.
[0012]
In the massage machine according to the present invention, the sensor is a pulse sensor, and among the time information corresponding to the extreme values of the biological information stored in the extreme value storing means, the extreme value determined to be noise by the determining means is used. It is characterized by further comprising a pulse rate calculating means for calculating the pulse rate excluding the corresponding time information.
[0013]
The massage machine according to the present invention is characterized by further comprising a psychological state judging means for judging a mental state of the user based on a temporal change of the pulse rate calculated by the pulse rate calculating means.
[0014]
According to the present invention, the massage machine stores the extreme value of the biological information detected from the sensor in the extreme value storage unit in association with the time information. Then, the massage machine compares the plurality of stored extreme values and determines whether the biological information detected by the sensor is noise. Specifically, the massage machine compares temporally continuous extreme values (maximum value and local minimum value) stored in the extreme value storage means, and when the difference is equal to or smaller than a first threshold value, the sensor It is determined that the biological information (extreme value) detected by the above is noise. Further, the massage machine compares temporally consecutive maximum values or minimum values stored in the extreme value storage means, and when the difference is equal to or greater than a second threshold, the biological information detected by the sensor ( (Extreme value) is determined to be noise. With such a configuration, it is possible to effectively remove noise generated due to massage vibration.
[0015]
In the present invention, a pulse sensor is used, and biological information output from the pulse sensor is stored in association with time information. The massage machine calculates the pulse rate by excluding the time information corresponding to the extreme value determined to be noise from the time information corresponding to the extreme value of the stored biological information. This makes it possible to obtain a pulse rate from which noise due to massage vibration has been removed.
[0016]
Furthermore, in the present invention, the mental state of the user is determined based on the temporal change of the calculated pulse rate. For example, when the pulse rate increases with time, it can be determined that the patient is in a psychological state in which pain is felt by combination with another sensor. This makes it possible to make a determination based on a correct pulse rate, and to more accurately determine a mental state.
[0017]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, the present invention will be described in detail with reference to the drawings showing embodiments.
FIG. 1 is a schematic perspective view showing the appearance of the massage machine. As shown in FIG. 1, a massage machine M according to the present invention incorporates a massage mechanism 2 having a plurality of treatment elements 21 into a chair body 10 including a leg 11, a seat 12, a backrest 13, and a pair of left and right armrests 14. It consists of. The massage machine M massages the user by reciprocating up and down while oscillating the plurality of treatment elements 21. An air massage unit A is provided on the leg of the user. The air massage unit A includes a first airbag A1 and a second airbag A2 inside a cover A6 having a shape of numeral 3 in plan view, and supplies and exhausts air to the first airbag A1 and the second airbag A2. This massages the calf of the user. Note that the configurations of the massage mechanism 2 and the air massage unit A are only examples, and the massage may be realized by another configuration.
[0018]
FIG. 2 is a schematic rear view showing the configuration of the massage mechanism 2. The massage mechanism 2 includes a treatment element driving device 3 for vibrating the treatment element 21 on the back of the backrest 13 of the chair body 10. The treatment element driving device 3 is supported so as to be able to move up and down along side frames 15, 15 attached to the back of the backrest 13. A treatment element elevating motor 22 is provided in the chair body 10, and the treatment element elevating motor 22 is connected to a screw shaft 23 via a belt-type power transmission mechanism 20. The screw shaft 23 is screwed to a bearing 24 attached to the treatment element driving device 3. Therefore, when the screw shaft 23 is rotationally driven by the treatment element lifting / lowering motor 22, the treatment element driving device 3 moves up and down accordingly.
[0019]
FIG. 3 is an explanatory view showing the structure of the treatment element driving device 3. The treatment element driving device 3 includes a plurality of rollers 43 on both sides. The rollers 43, 43 are engaged with the side frames 15, 15, and the treatment element driving device 3 moves up and down in accordance with the guidance of the side frames 15. A massage motor 31 is provided in the treatment element driving device 3, and the massage motor 31 is connected to a shaft 34 via a belt-type power transmission mechanism 32 and a speed change mechanism 33. A pair of left and right eccentric bearings 35 are attached to the shaft 34. A pair of right and left support arms 42, 42 are supported by these eccentric bearings 35, 35.
[0020]
A substantially L-shaped swing arm 36 is pivotally supported at the tip of each support arm 42, and the treatment elements 21 and 21 are rotatably attached to both ends of the swing arm 36. Therefore, when the shaft 34 is rotationally driven by the fir motor 31, the support arms 42 are pivotally driven in the opening and closing directions. Thereby, the fir operation by the treatment elements 21 and 21 is realized.
[0021]
A tapping motor 37 is provided in the treatment element driving device 3, and the tapping motor 37 is connected to a shaft 39 via a belt-type power transmission mechanism 38. A pair of left and right eccentric bearings 40, 40 are attached to the shaft 39. A pair of right and left rods 41, 41 are supported by these eccentric bearings 40, 40. The distal end of each rod 41 is connected to the proximal end of the arm 42. Accordingly, when the shaft 39 is rotationally driven by the tapping motor 37, the rods 41, 41 are pivotally driven in the front-rear direction, whereby the tapping operation by the treatment elements 21, 21 is realized. .
[0022]
FIG. 4 is a schematic sectional view showing the configuration of the air massage unit A. Inside the seat 12, a pair of first airbags A1 and second airbags A2 are respectively provided side by side. The first airbag A1 and the second airbag A2 have a U-shaped cross section. Substantially central portions of the first airbag A1 and the second airbag A2 are connected to the air pump AP through an air pipe A7. An air supply valve A3 and an exhaust valve A4, which are electromagnetic valves, are provided in the middle of the air A7. When supplying air, the air supply valve A3 is opened, the exhaust valve A4 is closed, and the air discharged from the air pump AP is supplied to the first airbag A1 and the second airbag A2. On the other hand, when air is exhausted, the exhaust valve A4 is opened, the air supply valve A3 is closed, and the air in the first airbag A1 and the second airbag A2 is discharged to the atmosphere through the exhaust valve A4. Thereby, the first airbag A1 and the second airbag A2 are appropriately inflated and contracted, so that the calf can be massaged.
[0023]
FIG. 5 is an explanatory diagram schematically showing a remote controller. The remote controller 7 is connected to the massage machine M by wire or wirelessly. The remote controller 7 is configured by disposing a display 71 and a plurality of operation buttons 72 on the surface of a vertical casing 70. On the right side of the casing 70, a pulse sensor 52 constituted by a light emitting element and a light receiving element, and a skin temperature sensor 53 constituted by a thermistor are provided. On both side surfaces of the casing 70, a GSR sensor (skin electric reflection sensor) 51 including a pair of electrodes 51a and 51b is provided. When the user holds the remote controller 7 with the left hand as indicated by the chain line, the index finger contacts the skin temperature sensor 53 and the middle finger contacts the pulse sensor 52. The ring finger and the little finger touch one electrode 51b of the GSR sensor 51, and the palm touches the other electrode 51a of the GSR sensor 51. Note that the display 71 of the remote controller 7 displays a part to which massage is applied, the degree of stiffness, the degree of comfort, the position of the stiff part, and the like.
[0024]
FIG. 6 is a block diagram illustrating a hardware configuration of a control unit and the like of the massage machine M. A RAM (Central Processing Unit, arithmetic unit) C1 of the control unit C is connected via a bus C7 to a RAM C2, a storage unit C5 such as a hard disk, a clock unit C8, an operation unit C3 and a sensor unit 5 of the remote controller 7, and a treatment element raising and lowering. The motor 22, the fir motor 31, the beating motor 37, the supply valve A3, and the exhaust valve A4 are connected. The CPU C1 operates these connected hardware units and executes various software processes according to the control program C5P stored in the storage unit C5.
[0025]
The operation unit C3 including the start button 54, the mode selection button 55, and the like outputs a signal corresponding to the assigned button to the CPU C1. The start button 54 is a button for operating or stopping the massage machine M. The mode selection button 55 is a button for changing various massage programs such as “fir mode”, “acupressure mode”, and “air pinch mode”. When the mode is selected, the CPU C1 appropriately controls the treatment element elevating motor 22, the fir motor 31, the tapping motor 7, the air supply valve A3, and the exhaust valve A4 according to the control program C5P.
[0026]
From the pulse sensor 52 of the sensor section 5, a voltage value (biological information) corresponding to a pulse described later is digitized by an AD converter (not shown) and output to the CPU C1. When a voltage value is input, the CPU C1 stores the voltage value in the RAM C2 together with the time information output from the clock unit C8. Then, the CPU C1 obtains an extreme value (a maximum value or a minimum value of the voltage value) from the voltage value stored in the RAMC2. Thereafter, the CPU C1 stores the time information corresponding to the extreme value, that is, the time when the pulse sensor 52 detects the local maximum value and the local minimum value in the extreme value storage unit C51. The biological information output from the GSR sensor 51 and the skin temperature sensor 53 is also stored in the storage unit C5 in association with the time information. In addition, the storage unit C5 is provided with a psychological state determination table C52 that is used when obtaining the mental state of the user based on the biological information output from the sensor unit 5.
[0027]
FIG. 7 is a characteristic diagram showing a pulse waveform. In the figure, the horizontal axis indicates time (sec), and the vertical axis indicates voltage value (v). The waveform in the figure shows the change over time of the voltage value (biological information) after being output from the pulse sensor 52 and subjected to a filtering process by a band-pass filter (not shown). When blood is pumped rhythmically from the heart, the pulse wave records a maximum. Then, the pulse rate (on average, 70 per minute) is calculated by taking the reciprocal of the time interval at which two temporally consecutive maximum values (or minimum values) are recorded. Points A to K in FIG. 7 are temporally continuous extreme values, and points A, C, E, G, I, and K are local maximums that are temporally continuous. Points B, D, F, H, and J are local minimum values that are temporally continuous.
[0028]
FIG. 8 is an explanatory diagram showing a record layout of the extreme value storage unit C51. For the sake of simplicity, points A to K corresponding to the characteristic diagram of FIG. 7 are shown in FIG. As shown in FIG. 8, extreme values are stored in association with time information. The time field stores the time when the maximum value or the minimum value is detected by the pulse sensor 52. The local maximum value field stores the local maximum value of the voltage output from the pulse sensor 52. The minimum value field stores the minimum value of the voltage output from the pulse sensor 52. The pulse rate field stores the pulse rate calculated based on the time interval at which the extreme value is detected. The CPU C1 reads the time information corresponding to the two maximum values, and stores a value obtained by multiplying the reciprocal of the interval by 60 in the pulse rate field as the pulse rate. In the present embodiment, the pulse is calculated based on the maximum value, but it is needless to say that the pulse may be calculated based on the minimum value.
[0029]
FIG. 9 is a characteristic diagram showing a change in pulse rate. The horizontal axis indicates time (sec), and the vertical axis indicates pulse rate (number / minute). The black circles and the white circles in FIG. 9 are obtained by plotting the pulse rate in accordance with the time information. The CPU C1 determines whether the noise is noise by comparing a plurality of extreme values. Specific determination processing will be described with reference to FIGS. The CPU C1 calculates a difference between temporally continuous extreme values (points A and B, points E and D, and the like). If the difference is equal to or smaller than the first threshold value (for example, equal to or smaller than 0.4), it is determined as noise. For example, since the difference between the maximum value 2.7 of the point A and the minimum value 1.9 of the point B is 0.8, it is determined that the point A is normal. Note that the comparison of the extremum is not limited to before and after the time, and is compared with the extremum (point C) after the target extremum (for example, point B) and with the extremum before (point A). Is also good.
[0030]
Next, focus on the point E. The CPU C1 calculates a difference between temporally continuous extreme values (points E and D). The maximum value at the point E is 2.4, and the minimum value at the point D is 2.3. Since the difference is 0.1, the CPU C1 determines that the point E is noise. In this case, the CPU C1 sets the flag 1 to the extreme value determined as noise as shown in the noise field of FIG. In this embodiment, only the local maximum value is determined for determining whether or not noise is present in order to simplify the description. However, the local minimum value may be determined.
[0031]
Another noise determination processing method will be described with reference to FIGS. The CPU C1 compares the temporally continuous maximum values (points A and C, points G and I) or the minimum values (points B and D), and determines that the difference is greater than or equal to the second threshold (for example, 0 or more). .8 or more), it is determined to be noise. When judging whether or not the point A is noise, the maximum value of the point A is 2.7 and the maximum value of the point C is 2.8. Since the difference is 0.1, the CPU C1 determines that it is normal.
[0032]
On the other hand, the maximum value of the point G is 3.9, and the maximum value of the point I is 2.7. Since the difference is 1.2, the CPU C1 determines the point G as noise. Also in this case, the CPU C1 sets the flag 1 to the extreme value determined as noise as shown in the noise field of FIG. If the value is a normal value, the CPU C1 stores the flag 0 in the noise field. After the noise determination processing, the CPU C1 extracts the pulse rate used for the mental state determination. The CPU C1 extracts only the calculated pulse rate based on the extreme value determined to be normal. In the examples of FIGS. 7 and 8, a normal pulse rate is set between points A and C, and between points I and K. On the other hand, an abnormal pulse rate is set between points C and E, between points E and G, and between points G and I. The CPU C1 stores only the pulse rate in which the flag 0 is continuously set in the noise field in the adopted pulse rate field (pulse rates 75 and 66).
[0033]
As shown in FIG. 9, black circles indicate the adopted normal pulse rate without noise, and white circles indicate the pulse rate determined to be noise due to vibration. The CPU C1 reads out only the normal pulse rate (black circle) without noise from the adopted pulse rate field of the extreme value storage unit C51 except for the pulse rate (white circle) determined to be noise, and executes a known method such as the least square method. To linearize the pulse rate over time. The straight line in FIG. 9 is an approximate straight line obtained by the least squares method based on the normal pulse rate without noise (black circles) except for the pulse rate (white circles) determined to be noise. The CPU C52 judges the mental state of the user by referring to the mental state determination table C52 based on the temporal change of the pulse rate (gradient of the straight line), the temporal change of the GSR, and the like.
[0034]
FIG. 10 is an explanatory diagram showing a record layout of the mental state determination table. In the present embodiment, a case where a mental state is determined based on biological information obtained from the GSR sensor 51 and the pulse sensor 52 will be described. The judgment fields include "relax (the state where the user feels comfortable)", "neutral (the normal state)", "activity (the state where the user feels moderate stimulation)", "pain (the state where the user feels a moderate stimulus)". (A state in which the user feels pain due to massage)). The pulse field stores a conditional expression of a pulse rate gradient ΔH (a gradient of a straight line in FIG. 9, for example, a gradient of a pulse rate adopted for one minute). Note that don't care means that anything may be used regardless of the value of ΔH.
[0035]
The GSR field also stores a conditional expression for the gradient ΔG of the GSR. Here, A, B, and C are threshold values determined by the correspondence between the subjective report values obtained by experiments and various physiological response data. The CPU C1 determines the mental state by referring to ΔH, which is the gradient of the adopted pulse rate, the biological information output from the GSR sensor 51, and the mental state determination table C52. Note that the determination of the psychological state in the present embodiment (for example, see Japanese Patent Application Laid-Open No. 2002-165853) is an example, and other known determination methods such as taking into account biological information output from the skin temperature sensor 53 are adopted. You may. Further, the psychological state may be determined based only on the biological information output from the pulse sensor 52. The CPU C1 reads a massage program corresponding to the determined mental state from the control program C5P. The CPU C1 appropriately controls the treatment element elevating motor 22, the fir motor 31, the tapping motor 37, the air supply valve A3, and the exhaust valve A4 according to a massage program.
[0036]
The procedure of the judgment processing of the present invention in the above hardware configuration will be described with reference to a flowchart. FIG. 11 and FIG. 12 are flowcharts showing a control procedure in the control unit C. The CPU C1 stores the biological information output from the GSR sensor 51 in the storage unit C5 in association with the time information (Step S111). The CPU C1 stores the voltage value output from the pulse sensor 52 in the RAMC2 in association with the time information (Step S112). The CPU C1 calculates extreme values (maximum value and minimum value) (step S113). The CPU C1 stores the extremum in the extremum storage unit C51 as shown in FIG. 8 in association with the time information at which the extremum was detected (step S114).
[0037]
The CPU C1 calculates the pulse rate by multiplying the reciprocal of the interval of the time information corresponding to the stored local maximum value by 60 (step S115). The calculated pulse rate is stored in the pulse rate field of the extreme value storage unit C51 as shown in FIG. Subsequently, the CPU C1 performs a process of determining whether or not the extreme value is noise (Step S116).
[0038]
FIGS. 13 and 14 are flowcharts showing a subroutine of the determination process. FIG. 13 shows a flowchart of the first judgment processing method. First, the CPU C1 reads out a local maximum value to be determined from the extreme value storage unit C51 (step S131). As described above, in the present embodiment, the determination of noise is performed only on the local maximum value, but may be performed on the local minimum value. Then, a temporally continuous minimum value is read (step S132). The minimum value read in step S132 may be a minimum value detected after the target maximum value, or may be a minimum value detected before. The CPU C1 compares the read local maximum value with the local minimum value, and determines whether the difference is equal to or less than the first threshold value (step S133). If it is equal to or less than the first threshold (YES in step S133), it is determined that the noise is present, and the flag 1 is set in the noise field of the extreme value storage unit C51 (step S135). On the other hand, if it is not equal to or less than the first threshold value (NO in step S133), it is determined that it is normal, and flag 0 is set in the noise field of the extreme value storage unit C51 (step S134).
[0039]
Subsequently, a flowchart of the second determination processing method is shown in FIG. First, the CPU C1 reads a local maximum value to be determined from the local maximum storage unit C51 (step S141). Note that, similarly to the above, the target may be a local minimum value. Then, a temporally continuous maximum value is read (step S142). The local maximum value read in step S142 may be a local maximum value detected after the target local maximum value, or may be a local maximum value detected before. When the target minimum value is read in step S141, in step S142, the CPU C1 reads the temporally continuous minimum value.
[0040]
The CPU C1 compares the read local maximum values (or local minimum values) and determines whether or not the difference is equal to or greater than a second threshold value (step S143). If it is equal to or greater than the second threshold (YES in step S143), it is determined that the noise is present, and the flag 1 is set in the noise field of the extreme value storage unit C51 (step S145). On the other hand, if it is not equal to or less than the first threshold value (NO in step S143), it is determined that it is normal, and the flag 0 is set in the noise field of the extreme value storage unit C51 (step S144). The noise determination process may use either the first determination process or the second determination process described with reference to FIG. 13, or may use both of the determination processes.
[0041]
The CPU C1 returns the process to the main routine of FIG. The CPU C1 determines whether or not all the local maximum values used as a reference for calculating the pulse rate are normal (step S117). That is, the CPU C1 searches for a flag in the noise field and extracts the pulse rate calculated based only on the flag 0. When all the local maximum values are determined to be normal (YES in step S117), that is, when the CPU C1 determines that the flag 0 is continuously set, the CPU C1 determines that the pulse rate is normal and displays the pulse rate in the adopted pulse rate field. The number is stored (step S118).
[0042]
On the other hand, when it is determined that all the maximum values are not normal (NO in step S117), that is, when the CPU C1 determines that at least one flag 1 is set, the pulse rate is affected by noise. If so, it is rejected (step S119). That is, the CPU C1 does not store the pulse rate determined to be noise in the adopted pulse rate field.
[0043]
The CPU C1 determines whether or not all the target pulse rates have been determined (step S121). If the determination has not been completed (NO in step S121), the process returns to step S117, and the above process is performed. repeat. On the other hand, when all the target pulse rates are determined (YES in step S121), the adopted pulse rate and the corresponding time information stored in the adopted pulse rate field of the extreme value storage unit C51 are read out to the RAMC2. The CPU C1 calculates an approximate straight line using the least squares method or the like, and calculates the slope ΔH (step S122). Further, the CPU C1 also calculates the gradient ΔG of the GSR (step S123).
[0044]
The CPU C1 determines the mental state by referring to the mental state determination table C52 based on the obtained pulse inclination ΔH and GSR inclination ΔG (step S124). The CPU C1 reads a massage program corresponding to the mental state from the control program C5P (Step S125). In accordance with the read control program C5P, the CPU C1 controls the treatment element lifting / lowering motor 22, the massage motor 31, the tapping motor 37, the supply valve A3, and the exhaust valve A4 (step S126).
[0045]
【The invention's effect】
As described above in detail, in the present invention, the massage machine stores the extreme value of the biological information detected by the sensor in the extreme value storage unit in association with the time information. Then, the massage machine compares the plurality of stored extreme values and determines whether the biological information detected by the sensor is noise. With such a configuration, it is possible to effectively remove noise generated due to massage vibration.
[0046]
In the present invention, a pulse sensor is used, and biological information output from the pulse sensor is stored in association with time information. The massage machine calculates the pulse rate by excluding the time information corresponding to the extreme value determined to be noise from the time information corresponding to the extreme value of the stored biological information. This makes it possible to obtain a pulse rate from which noise due to massage vibration has been removed.
[0047]
Furthermore, in the present invention, the mental state of the user is determined based on the temporal change of the calculated pulse rate. As a result, the present invention can provide excellent effects, such as making a determination based on a correct pulse rate and making it possible to more accurately determine a mental state.
[Brief description of the drawings]
FIG. 1 is a schematic perspective view showing the appearance of a massage machine.
FIG. 2 is a schematic rear view illustrating a configuration of a massage mechanism.
FIG. 3 is an explanatory diagram showing a structure of a treatment element driving device.
FIG. 4 is a schematic sectional view showing a configuration of an air massage unit.
FIG. 5 is an explanatory diagram schematically showing a remote controller.
FIG. 6 is a block diagram illustrating a hardware configuration of a control unit and the like of the massage machine.
FIG. 7 is a characteristic diagram showing a pulse waveform.
FIG. 8 is an explanatory diagram showing a record layout of an extreme value storage unit.
FIG. 9 is a characteristic diagram showing a change in pulse rate.
FIG. 10 is an explanatory diagram showing a record layout of a psychological state determination table.
FIG. 11 is a flowchart illustrating a control procedure in a control unit.
FIG. 12 is a flowchart illustrating a control procedure in a control unit.
FIG. 13 is a flowchart illustrating a subroutine of a determination process.
FIG. 14 is a flowchart illustrating a subroutine of a determination process.
FIG. 15 is a circuit configuration diagram showing a configuration of a conventional pulse detection circuit.
[Explanation of symbols]
10 Chair body
2 Massage mechanism
21 treatment child
3 treatment child drive
5 Sensor section
51 GSR sensor
52 pulse sensor
53 skin temperature sensor
55 Mode select button
C control unit (control means)
7 Remote controller
A air massage section
C1 CPU (arithmetic unit)
C51 Extreme value storage
C52 Psychological state judgment table
M massage machine

Claims (6)

In a noise determination method applied to a massage machine having a sensor and a calculation unit for detecting biological information,
An extreme value storage step of storing the extreme value of the biological information detected from the sensor in the extreme value storage unit in association with time information,
A determining step of comparing a plurality of extreme values stored in the extreme value storage unit by the arithmetic unit and determining whether biological information detected by the sensor is noise or not. . In a massage machine having a sensor that detects biological information, an extreme value storage unit that stores an extreme value of biological information detected from the sensor in association with time information,
A massager comprising: a plurality of extreme values stored in the extreme value storage means; and a determination means for determining whether the biological information detected by the sensor is noise. The determining means includes:
It is configured to compare temporally continuous extreme values stored in the extreme value storage means, and determine that biological information detected by the sensor is noise when the difference is equal to or less than a first threshold value. The massage machine according to claim 2, wherein the massage machine is provided. The determining means includes:
Compare the temporally consecutive maxima or minima stored in the extremum storage means, and when the difference is equal to or greater than a second threshold, the biological information detected by the sensor is noise. The massage machine according to claim 2, wherein the massage machine is configured to make a determination. The sensor is a pulse sensor,
The pulse rate for calculating the pulse rate by excluding the time information corresponding to the extreme value determined to be noise by the determining means among the time information corresponding to the extreme value of the biological information stored in the extreme value storing means. The massage machine according to any one of claims 2 to 4, further comprising a calculating unit. 6. The massage machine according to claim 5, further comprising: a psychological state determining unit configured to determine a mental state of the user based on a temporal change of the pulse rate calculated by the pulse rate calculating unit.

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