KR20200023917A - Massage device to measure bone density - Google Patents

Abstract

Discloses is a massage device to measure bone density according to some embodiments of the present disclosure. The device comprises: a body structure forming an area for accommodating at least a portion of the body of a user, and forming an external shape of the massage device; a massage module providing a massage function to the at least a portion of the body of the user accommodated in the area within the body structure; a bone density measuring module measuring an on-resistance value through an electrode part comprising a plurality of electrodes in contact with the at least a portion of the body of the user accommodated in the region within the body structure, and measuring bone density of the user based on the on-resistance value; and a control unit controlling one or more operations of the massage device.

Description

Massage device for measuring bone density {MASSAGE DEVICE TO MEASURE BONE DENSITY}

The present disclosure relates to a massage device, and more particularly, to a massage device for measuring bone density.

Massage controls the modulation of a subject's body by applying various forms of mechanical stimulation to a part of the body, such as by kneading, pressing, pulling, knocking, or moving a part of the subject's body, It is a medical adjuvant therapy that helps circulation and relieves subject fatigue.

The increase in massage demand has led to an increase in demand for massage devices or massage devices that provide artificial massage functions for economic and time reasons. In other words, as the demand for relieving fatigue or stress while releasing muscles that are bound through massage increases, various massage devices in a time and cost-effective manner have been released. Any form of instrument, device, or device that performs massage without a separate masseuse through a mechanical device is referred to as a massage device.

As an example of such a massage device, a massage chair in which a user can comfortably sit and receive a massage is mainly used. As the demand for a massage device increases, various functions are required to relieve fatigue so that a user may relax more comfortably than a general massage function for a massage chair.

In general, the massage chair may include a massage module that directly massages the user's body and a control mechanism that controls the operation of the massage device. A general massage module can provide artificial stimulation to the user by inflating the airbag using air pressure to body parts such as neck, arms, hips, legs, and feet, but various driving massage devices may exist. . For example, there may be a massage device of a type that provides a stimulus to the user by moving the massage roller along the body of the user in the direction of the rail after the massage roller is mounted on the rail of the lifting type. As another example, there may be a massage device of a type that provides a massage function by rotating the predetermined portion by the rotation of the drive motor after the massage roller is mounted on a support that rotates about the axis of rotation.

In addition, a massage device capable of providing various types of massage stimuli such as a thermal massage function and a low frequency massage function has been developed as functions that can be implemented by the massage device are added.

On the other hand, as the number of elderly people around the world increases and their income level rises, interest in health is increasing. In older people, diseases such as osteoporosis are increasing, and the demand for bone condition analysis is increased. In order to analyze various bone conditions, various methods such as X-ray absorption measurement, ultrasound, and clove computed tomography exist. Currently, X-ray absorption measurement is the most used to analyze the condition of bone.

However, the X-ray absorption measurement method requires a lot of expensive equipment, so there is a point that the public is not easy to access. Therefore, there is a need in the art for the introduction of a massage device that includes a bone density side device capable of easily measuring bone density.

Republic of Korea Patent No. 10-1781955 discloses a health care type smart massage chair.

In addition, Republic of Korea Patent No. 10-1567502 discloses a device for measuring bone density.

The present disclosure has been made in response to the above-described background, and an object thereof is to provide a massage device for measuring bone density.

The technical problems of the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

According to some embodiments of the present disclosure for solving the problems as described above, a massage device for measuring bone density is disclosed. The device comprises: a body structure defining an area for receiving at least a portion of a user's body and forming an appearance of the massage device; A massage module for providing a massage function to at least a portion of the user's body received in the area within the body structure; Bone density measuring an on-resistance value through an electrode unit including a plurality of electrodes in contact with at least a portion of the user's body accommodated in the area within the body structure, and measuring the bone density of the user based on the on-resistance value A measurement module; And a controller for controlling one or more operations of the massage device.

The control unit may control the massage module to adjust massage intensity based on the bone density measured by the bone density measurement module.

In addition, the body structure, the head portion for supporting the head of the user; A backrest for supporting the back of the user; A seat unit in which the user can sit; An arm support for supporting the arm of the user; And a leg support for supporting the leg of the user.

The electrode unit may include a plurality of hand electrodes positioned in at least one region of the arm support unit; And a plurality of power generating poles positioned in at least one region of the leg support part.

The apparatus may further include a limb length recognition module configured to recognize the arm length and the leg length of the user, wherein the bone density measurement module includes the arm length and the leg length of the user together with the on-resistance value. Using at least one of, the bone density of the user can be measured.

The apparatus may further include a posture measuring module configured to recognize a posture of the user, and the controller may determine the arm length of the user when the posture measuring module recognizes that the posture of the user is a preset posture. The limb length recognition module can be controlled to measure.

The posture measuring module may measure the posture of the user based on a pressure value recognized by a pressure sensor provided in at least one of the head, the backrest, the seat, the arm support, and the leg support. It can be measured.

The plurality of hand electrodes may include a plurality of electrodes installed at predetermined intervals in a direction from the user's body toward the hand on the arm support to recognize the arm length of the user, and recognize the length of the limbs. The module may recognize the arm length of the user based on the number of electrodes in which the body contact of the user is recognized among the plurality of hand electrodes.

The apparatus may further include a user input unit configured to receive user information including information about the user's key, and the limb length recognition module may be configured based on the head position of the user recognized by the head unit. The user may measure the sitting height of the user, and calculate the leg length of the user based on the information about the height of the user and the measured sitting key of the user.

The user information may include at least one of information about the weight of the user, information about the height of the user, information about the age of the user and information about the gender of the user.

In addition, the bone density measuring module applies a current between at least two first electrode pairs of the plurality of electrodes included in the electrode unit and, due to the current, is different from the first electrode pair of the plurality of electrodes. An on resistance measuring unit configured to measure an on resistance value based on a voltage difference generated between at least two second electrode pairs; And a bone density measuring unit measuring bone density based on the on-resistance value and user information.

The bone density measurement module may calculate a standard bone density based on the user information, calculate a difference value between the user's bone density and the standard bone density, and the control unit may massage the strength based on the magnitude of the difference value. The massage module can be controlled to adjust.

Technical solutions obtained in the present disclosure are not limited to the above-mentioned solutions, and other solutions not mentioned above may be apparent to those skilled in the art from the following description. It can be understood.

The present disclosure can provide a massage device for measuring bone density.

Effects obtained in the present disclosure are not limited to the above-mentioned effects, and other effects not mentioned above may be clearly understood by those skilled in the art from the following description. .

Various aspects are now described with reference to the drawings, wherein like reference numerals are used to refer to like components throughout. In the following examples, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will be apparent that such aspect (s) may be practiced without these specific details.
1 illustrates a massage device for measuring bone density in accordance with some embodiments of the present disclosure.
2 is a block diagram of a massage device for measuring bone density in accordance with some embodiments of the present disclosure.
3 is a view for explaining a hand electrode included in the massage device for measuring bone density according to an embodiment of the present disclosure.
4 is a view for explaining a power generation pole included in a massage device for measuring bone density according to an embodiment of the present disclosure.
FIG. 5 is a flowchart illustrating an example of a method in which a massage device for measuring bone density in accordance with some embodiments of the present disclosure adjusts massage intensity based on bone density.
FIG. 6 is a flowchart illustrating an example of a method in which a massage device for measuring bone density according to some embodiments of the present disclosure adjusts massage intensity according to a difference between standard bone density and user bone density.
7 is a schematic diagram illustrating a network function in accordance with some embodiments of the present disclosure.
8 is an exemplary view illustrating a bone density measurement model according to some embodiments of the present disclosure.
9 shows a brief general schematic diagram of an example computing environment in which some embodiments of the present disclosure may be implemented.

Various embodiments and / or aspects are now disclosed with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will also be appreciated by one of ordinary skill in the art that this aspect (s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of the one or more aspects. However, these aspects are exemplary and some of the various methods in the principles of the various aspects may be used and the descriptions described are intended to include all such aspects and their equivalents. Specifically, as used herein, “an embodiment”, “an example”, “aspect”, “an example” and the like are not to be construed that any aspect or design described is better or advantageous than other aspects or designs. It may not.

Regardless of the reference numerals, the same or similar components are given the same reference numerals and redundant description thereof will be omitted. In addition, in the description of the embodiments disclosed herein, if it is determined that the detailed description of the related known technology may obscure the gist of the embodiments disclosed herein, the detailed description thereof will be omitted. In addition, the accompanying drawings are intended to facilitate understanding of the embodiments disclosed herein, and the technical spirit disclosed herein is not limited by the accompanying drawings.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and / or “comprising” does not exclude the presence or addition of one or more other components in addition to the mentioned components.

Although the first, second, etc. are used to describe various elements or components, these elements or components are of course not limited by these terms. These terms are only used to distinguish one element or component from another element or component. Therefore, the first device or component mentioned below may be a second device or component within the technical idea of the present disclosure.

Unless otherwise defined, all terms used in the present specification (including technical and scientific terms) may be used as meanings that can be commonly understood by those skilled in the art to which the present disclosure belongs. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

In addition, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise or unambiguously in context, "X uses A or B" is intended to mean one of the natural implicit substitutions. That is, X uses A; X uses B; Or where X uses both A and B, "X uses A or B" may apply in either of these cases. In addition, the term "and / or" as used herein is to be understood to refer to and include all possible combinations of one or more of the listed related items.

In addition, the terms "comprises" and / or "comprising" mean that such features and / or components are present, but exclude the presence or addition of one or more other features, components, and / or groups thereof. It should be understood that it does not. Also, unless otherwise specified or in the context of indicating a singular form, the singular in the specification and claims should generally be construed as meaning "one or more."

In addition, the terms "information" and "data" as used herein are often used interchangeably.

Regardless of the reference numerals, the same or similar components are given the same reference numerals and redundant description thereof will be omitted. In addition, in the description of the embodiments disclosed herein, if it is determined that the detailed description of the related known technology may obscure the gist of the embodiments disclosed herein, the detailed description thereof will be omitted. In addition, the accompanying drawings are intended to facilitate understanding of the embodiments disclosed herein, and the technical spirit disclosed herein is not limited by the accompanying drawings.

Although the first, second, etc. are used to describe various elements or components, these elements or components are of course not limited by these terms. These terms are only used to distinguish one element or component from another element or component. Therefore, the first device or component mentioned below may be a second device or component within the technical idea of the present disclosure.

Unless otherwise defined, all terms used in the present specification (including technical and scientific terms) may be used as meanings that can be commonly understood by those skilled in the art to which the present disclosure belongs. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

When a component is said to be "connected" or "connected" to another component, it may be directly connected to or connected to that other component, but it may be understood that other components may exist in the middle. Should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in between.

The suffixes "module" and "unit" for components used in the following description are given or mixed in consideration of ease of specification, and do not have meanings or roles that are distinct from each other in themselves.

The objects and effects of the present disclosure and the technical configurations for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. In describing the present disclosure, when it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present disclosure, the detailed description will be omitted. In addition, terms to be described below are terms defined in consideration of functions in the present disclosure, and may vary according to a user's or operator's intention or custom.

However, the present disclosure is not limited to the embodiments disclosed below, but may be implemented in various forms. The present embodiments are merely provided to make the present disclosure complete and to fully convey the scope of the disclosure to those skilled in the art, and the present disclosure is defined only by the scope of the claims. . Therefore, the definition should be made based on the contents throughout the specification.

1 illustrates a massage device for measuring bone density in accordance with some embodiments of the present disclosure.

Referring to FIG. 1, the massage apparatus 1000 for measuring bone density may include a body structure 1100, a massage module 1200 located inside the body structure 1100, and a user input unit located outside the body structure 1100. (1600).

According to some embodiments of the present disclosure, the body structure 1100 may form an area for accommodating at least a portion of a user's body, and may form an appearance of the massage apparatus 1000 for measuring bone density.

Specifically, the body structure 1100 includes a head portion 1101 for supporting the user's head, a backrest portion 1102 for supporting the user's back, a seat portion 1103 on which the user can sit, and an arm of the user. An arm support part 1104 for supporting the site and a leg support part 1105 for supporting the leg of the user may be included. However, the present invention is not limited thereto, and the massage device 1000 for measuring bone density may be the massage device 1000 for measuring bone density for providing partial massage of the upper or lower body.

According to some embodiments of the present disclosure, the massage module 1200 may provide a massage function to at least a portion of a user's body accommodated in the body structure 1100. In detail, the massage module 1200 may receive an input related to a massage from the user input unit 1600 and provide a massage function to at least a part of a user's body.

According to some embodiments of the present disclosure, the massage device 1000 for measuring bone density may include a plurality of electrodes in contact with a portion of a user's body. In addition, the massage device 1000 for measuring bone density may include a bone density measurement module. Therefore, the massage apparatus 1000 for measuring bone density may measure an on-resistance value of a part of the user's body with a plurality of electrodes, and measure the bone density of the user based on the measured on-resistance value.

In addition, the massage device 1000 for measuring bone density may adjust the massage strength based on the bone density of the user.

Detailed operations of the above-described components and additional components of the massage apparatus 1000 for measuring the above-described bone density will be described below in detail with reference to FIGS. 2 to 9.

2 is a block diagram of a massage device for measuring bone density in accordance with some embodiments of the present disclosure.

Massage device 1000 for measuring bone density is a body structure 1100, massage module 1200, bone density measurement module 1300, limb length recognition module 1400, posture measurement module 1500, user input unit 1600, The communication unit 1700, the memory 1800, and the controller 1900 may be included. However, the above-described components are not essential in implementing the massage device 1000 for measuring bone density, so that the massage device 1000 for measuring bone density may have more or fewer components than those listed above. Can have Here, each component may be composed of a separate chip, module or device, or may be included in one device.

According to some embodiments of the present disclosure, the body structure 1100 may include an electrode part 1110 and a pressure sensor 1120.

According to some embodiments of the present disclosure, the electrode unit 1110 includes a plurality of hand electrodes positioned in at least one region of the arm support unit 1104 and a plurality of power generating poles positioned in at least one region of the leg support unit 1105. can do.

In detail, the plurality of hand electrodes included in the electrode part 1110 may be located in at least one region of the arm support part 1103 to which the user's arm, palm, finger, and back of the hand are in contact. In addition, the plurality of power generating poles included in the electrode unit 1110 may be located in at least one region of the leg support 1105 to which the calf, the ankle and the sole of the user are in contact.

Description of the positions of the above-described hand electrode and the power generating electrode will be described later in detail with reference to FIGS. 3 and 4.

The massage module 1200 may be located inside the massage device 1000 that measures bone density to provide any form of mechanical stimulation to a user accommodated in the body structure 1100. The massage module 1200 may provide mechanical stimulation at various locations while moving along a rail-shaped structure formed inside (or outside) of the massage device 1000 for measuring bone density. In this example, massage module 1200 may have a ball shape or a roller shape.

The massage module 1200 may apply pressure to the outside through an air pressure control method, may apply vibration to the outside using a vibration motor, and move an arbitrary shape of an object or protrusion through a solenoid method. It may also provide irritation to the massage area. However, the present invention is not limited thereto, and the protrusions or the treatment body of the massage module 1200 may be formed of magnets, and the iron present in the blood of the human body may be affected by magnetism, thereby further promoting the blood circulation of the user. have.

The massage module 1200 may provide a massage function of at least one of tapping, kneading, tapping, and acupressure according to the above-described operating principle.

The shape and operation principle of the massage module 1200 described above are merely described in detail to help understand the present disclosure, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, the bone density measuring module 1300 may include an on resistance measuring unit 1310 and a bone density measuring unit 1320.

The on resistance measuring unit 1310 may apply a current between at least two first electrode pairs among the plurality of electrodes included in the electrode unit 1110. In addition, the on resistance measuring unit 1310 may measure the on resistance value based on a voltage difference generated between at least two second electrode pairs different from the first electrode pair among a plurality of electrodes due to the applied current. have.

For example, at least two first electrode pairs of the plurality of electrodes may be configured as a left current electrode in contact with a user's left finger and a right current electrode in contact with a right finger on the massage device 1000 for measuring bone density. In addition, at least two second electrode pairs different from the first electrode pair among the plurality of electrodes may be configured as a left voltage electrode in contact with the left palm and a right voltage electrode in contact with the right palm on the massage device 1000 for measuring bone density. have.

In this case, the on-resistance measuring unit 1310 may apply a current having a frequency of 50 kHz to the first electrode pair. In this case, a current having a frequency of 50 kHz may be applied from the left current electrode in contact with the user's left finger to the right current electrode in contact with the user's right finger. That is, a current having a frequency of 50 kHz may return to the right current electrode through the user's left finger, left arm, torso, right arm and right finger.

In addition, the on-resistance measuring unit 1310 may measure the first voltage at the left voltage electrode of the left palm and the second voltage at the right voltage electrode of the right palm when a current having a frequency of 50 kHz flows. In addition, the on-resistance measuring unit 1310 may measure on-resistance values of both arms and the trunk portion of the user's body through which the current is energized by using a voltage difference between the first voltage and the second voltage. However, the present invention is not limited thereto, and the on resistance measuring unit 1310 may measure on resistance of each of the left hand, the right hand, the left foot, and the right foot.

The arrangement of the electrode unit 1110 and the operation of the on-resistance measuring unit 1310 described above are merely exemplary descriptions to help the understanding of the present disclosure, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, the electrodes of the electrode unit 1110 may be configured with at least four or more, and a current having a plurality of frequencies may be applied to the user. More specifically, the electrodes of the electrode unit 1110 may be composed of a plurality of current electrodes and voltage electrodes, and the on-resist measurement unit 1310 may conduct current having various frequencies to the user's body. In addition, the on resistance measuring unit 1310 may measure the on resistance value of at least a portion of the user's body corresponding to various frequencies.

According to some embodiments of the present disclosure, the plurality of electrodes may be maintained at a body temperature of a user, or a preset temperature higher than the body temperature of the user. More specifically, the electrode unit 1110 may include a heat generating unit (not shown) or a heat insulating material capable of providing heat to the plurality of electrodes. Therefore, the plurality of electrodes is a user's body temperature, or 0 ℃ ~ 10 ℃ than body temperature? It may be configured to maintain at least one of the higher temperatures.

Accordingly, the massage device 1000 for measuring bone density according to some embodiments of the present disclosure may contact the skin between the palms of the dry, callused user, or the fingerless, callus-free fingers or the toes of the toes instead of the soles of the feet. The on-resistance of the body can be measured. Therefore, the massage device 1000 for measuring bone density can reduce an error of measurement occurring in a dry and callused place. In addition, the electrode can be maintained at a temperature higher than the user's body temperature can cause the sweat of the measurement site to increase the humidity. Therefore, the massage device 1000 for measuring bone density may reduce an error in measuring the on-resistance value occurring in a dry part of the body part.

The configuration and operating principle of the above-described heat generating unit is merely a detailed description of examples for helping understanding of the present disclosure, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, when the on-resist measurement unit 1310 measures the on-resistance value, the bone density measuring unit 1320 may measure the bone density of the user based on the on-resistance value.

In this case, the controller 1900 may control the massage module 1200 to adjust the massage strength of the massage device based on the bone density of the user measured by the bone density measurement module 1300.

The bone density measurement module 1300, the control unit 1900 and the massage module 1200 of the massage device 1000 for measuring the above-described bone density measures the user's bone density, and adjusts the massage strength based on the measured user's bone density. A description of the operation will be described later with reference to FIGS. 5 and 6.

According to some embodiments of the present disclosure, the limb length recognition module 1400 may recognize a user's arm length and a user's leg length.

When the posture measuring module 1500 recognizes that the posture of the user measured is a preset posture, the controller 1900 may control the limb length recognition module 1400 to measure the arm length of the user.

Here, the attitude measuring module 1500 may include a pressure sensor (not shown). In addition, the posture measuring module 1500 may measure a posture of the user based on a pressure value recognized by the pressure sensor. In detail, the pressure sensor of the posture measuring module 1500 may be located at a portion where pressure is applied to the chair when the user sits on the massage device. For example, the pressure sensor may be located in at least one of the head portion 1101, the seat portion 1103, the arm support portion 1104, and the leg support portion 1105. As another example, the pressure sensor may be located at the same position as the plurality of electrodes included in the electrode unit 1110.

In addition, the controller 1900 may recognize that the user's posture is a preset posture when each of the plurality of pressure values recognized by the pressure sensing sensor reaches a preset pressure value.

According to some other embodiments of the present disclosure, the limb length recognition module 1400 may recognize the arm length of the user based on the number of electrodes in which the body contact of the user is recognized among the plurality of hand electrodes.

For example, the limb length recognition module 1400 may recognize the arm length of the user based on the number of electrodes from which the body contact of the user is recognized from the electrode closest to the user's body among the plurality of hand electrodes.

As another example, the limb length recognition module 1400 may recognize the arm length of the user based on the number of electrodes of which the body contact of the user is not recognized from the electrode located farthest from the user's body among the plurality of hand electrodes. have.

Here, the plurality of hand electrodes may include a plurality of electrodes installed at predetermined intervals in a direction from the body of the user to the hand on the arm support 1104 so as to recognize the arm length of the user.

Description of the position of the plurality of hand electrodes described above will be described in detail with reference to FIG. 3. However, the configuration of the limb length recognition module 1400 and the operation of measuring the arm length are merely exemplary descriptions to help the understanding of the present disclosure, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, the limb length recognition module 1400 may measure a sitting key of the user based on the position of the head of the user recognized by the head 1101. In addition, the limb length recognition module 1400 may measure the leg length of the user based on the measured information about the user's sitting height and the user's height.

Herein, the user input unit 1600 may receive information about the user's key from the user. In detail, the user input unit 1600 may receive user information used to increase the accuracy of bone density measurement. Here, the user information may include information about the height of the user, information about the weight of the user, information about the age of the user and information about the gender of the user. However, the present invention is not limited thereto, and the user information may be used to measure the bone density of the user, or may be any information that can increase the accuracy of the bone density measurement value. For example, the user information may further include information about the eating habits of the user, information about the exercise habits of the user, information about the disease of the user, and information about the result of the health examination.

According to some other embodiments of the present disclosure, the limb length recognition module 1400 may estimate the leg length of the user based on the measured information about the arm length of the user and the height of the user. For example, the leg length of the user may be estimated using a leg length estimation data table estimating the leg length according to the height and arm length of the user stored in the memory 1800. As another example, the limb length recognition module 1400 may calculate the leg length of the user by using an estimation equation for estimating the leg length according to the height and the arm length of the user.

The above-described configuration of the limb length recognition module 1400 and the operation of measuring the leg length are merely exemplary descriptions to help the understanding of the present disclosure, and the present disclosure is not limited thereto.

The user input unit 1600 may be input through an input button provided in the massage apparatus 1000 for measuring bone density or a touch screen of the display unit. In addition, the user input unit 1600 may receive user information input from an external device or application other than the massage device 1000 that measures bone density. Here, the external device may mean a PC, a user terminal, a wearable device, or the like.

As described above, the user input unit 1600 may receive user information from a user. In addition, the user input unit 1600 may receive a selection input for selecting a type of massage from the user.

According to some embodiments of the present disclosure, the bone density measurement module 1300 may measure the bone density of the user based on the user information received by the user input unit 1600 together with the on-resistance value. Specifically, the bone density measuring unit 1320 of the bone density measuring module 1300 may include information about the on-resistance value measured by the on-resistance measuring unit 1310 and the height of the user included in the user information, information about the weight of the user, The bone density of the user may be measured based on the information about the age of the user and the information about the gender of the user.

In addition, when the limb length measurement module 1400 measures the arm length and the leg length of the user, the bone density measuring unit 1320 is based on the arm length and the leg length of the user together with the on-resistance value and the user information. Bone density can be measured. In detail, the bone density measurement module 1300 may calculate the bone volume of the user according to the arm length and the leg length of the user. In addition, the bone density measurement module 1300 may measure accurate bone density using the calculated user's bone volume and on-resistance value.

According to some embodiments of the present disclosure, the communication unit 1700 may measure bone density between the massage device 1000 for measuring bone density and a communication system, between the massage device 1000 for measuring bone density and an external server (not shown). It may include one or more modules that enable communication between the massage device 1000 and the user terminal (not shown), or between the massage device 1000 that measures bone density and the administrator terminal (not shown). In addition, the communication unit may include one or more modules for connecting the massage device 1000 for measuring bone density to one or more networks. The communication unit may include at least one of a wireless internet module and a short range communication module.

The communication unit 1700 may transmit bone density related information including the bone density of the user measured by the bone density measurement module 1300 of the massage device 1000 for measuring the bone density to at least one of an external server, a user terminal, and an administrator terminal. In addition, the communication unit 1700 may receive user information from at least one of an external server, a user terminal, and an administrator terminal. As described above, the user information may include at least one of information about the weight of the user, information about the height of the user, information about the age of the user, and information about the gender of the user.

According to some embodiments of the present disclosure, the memory 1800 stores data supporting various functions of the massage apparatus 1000 for measuring bone density. The memory may store a plurality of application programs or applications that are driven by the massage device 1000 for measuring bone density, data for operating the massage device 1000 for measuring bone density, and instructions. The memory may also temporarily or permanently store input / output data (eg, bone density data, biometric data, etc.). The memory can also store data relating to display and sound. The memory may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD or XD memory, etc.), RAM ( Random Access Memory (RAM), Static Random Access Memory (SRAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Programmable Read-Only Memory (PROM), Magnetic Memory, Magnetic Disk At least one type of storage medium may be included.

On the other hand, the application program is stored in the memory, installed on the massage device 1000 for measuring the bone density, to perform the operation (or function) of the massage device 1000 for measuring the bone density by the controller 190. Can be driven.

According to some other embodiments of the present disclosure, the bone density measurement module 1300 may include a plurality of leakage current prevention switches (not shown). The leakage current preventing switch may be connected to each of the plurality of electrodes included in the electrode part 1110. In addition, each of the plurality of leakage current preventing switches may be turned on or turned off by the controller 1900.

For example, the controller 1900 may include a first electrode and a second electrode as a first electrode pair to which a current is applied, and a third electrode and a fourth electrode as the second electrode pair where a voltage is measured, among the plurality of leakage current prevention switches. When the connected leakage current prevention switches are turned on, the leakage current prevention switches connected to the remaining electrodes other than the first to fourth electrodes of the plurality of electrodes may be turned off.

Therefore, the controller 1900 may reduce an error in the on-resistance measurement value due to leakage current leaked through a cable that is unnecessarily connected to each of the plurality of electrodes of the massage apparatus 1000 for measuring bone density.

According to some other embodiments of the present disclosure, the bone density measurement module 1300 may include an electrode use determination switch (not shown). The electrode use determination switch may be turned on or off in accordance with the use of each of the plurality of electrodes included in the electrode unit 1110. For example, when the controller 1900 determines the first electrode and the second electrode as an electrode for applying current, and determines the third electrode and the fourth electrode as an electrode for voltage measurement, the controller 1900 is connected to the first to fourth electrodes. The electrode use determination switch can be turned on. Meanwhile, an electrode use determination switch connected to the remaining electrodes except for the first to fourth electrodes among the plurality of electrodes included in the electrode unit 1110 may be turned off.

According to some embodiments of the present disclosure, when determining the electrode for applying current and the electrode for voltage measurement, the controller 1900 is configured to apply each of two electrodes that contact each other at a specific interval in the same body part of the user's body part. The electrode and the voltage measuring electrode may be determined respectively.

According to some embodiments of the present disclosure, the electrode use determination switch may be located between each of the plurality of leakage current preventing switches and the on resistance measuring unit 1310. Here, each of the plurality of leakage current prevention switches may be positioned between each of the plurality of electrodes included in the electrode unit 1110 and each of the plurality of electrode use determination switches. That is, each of the plurality of electrodes is connected to each of the plurality of leakage current prevention switches, each of the plurality of leakage current prevention switches is connected to each of the plurality of electrode use determination switches, and each of the plurality of electrode use determination switches is an on-resistance measuring unit ( 1310).

The configuration and operation principle of the above-described electrode use determination switch and the leakage current prevention switch are merely illustrative examples for better understanding of the present disclosure, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, the controller 1900 controls the overall operation of the massage device 1000 that typically measures bone density, in addition to the operations related to the control of the massage module 1200 and the bone density measurement module 1300. . The controller 1900 may provide or process information or a function appropriate to a user by processing signals, data, information, and the like, which are input or output through the above-described components, or by running an application program stored in the memory 1800.

In addition, the controller 1900 may control at least some of the components described with reference to FIG. 2 to drive an application program stored in the memory 1800. In addition, the controller 1900 may operate by combining at least two or more of the components included in the massage apparatus 1000 for measuring the bone density to drive the application program.

At least some of the components may operate in cooperation with each other to implement an operation, a control, or a control method of the massage device 1000 for measuring bone density according to various embodiments described below. In addition, the operation, control, or control method of the massage device 1000 for measuring bone density may be implemented on the massage device 1000 for measuring bone density by driving at least one application program stored in the memory.

3 is a view for explaining a hand electrode included in the massage device for measuring bone density according to an embodiment of the present disclosure.

3 is described below with reference to the left arm support for convenience of description, the contents of the present disclosure is not limited thereto, and the same embodiments described below may also be applied to the right arm support.

Referring to FIG. 3, an example of positions of the plurality of hand electrodes 1111 positioned on the arm support 1104 of the massage device 1000 for measuring bone density is illustrated.

The plurality of hand electrodes 1111 may be positioned on the arm support part 1104 on which the user's arm is supported at predetermined intervals. Specifically, a plurality of electrodes having a thin and long rectangular shape on the arm support 1104 may be located at predetermined intervals. In addition, the electrode having a rectangular shape may be gradually smaller as it is positioned in the direction from the body of the user to the hand. For example, the plurality of hand electrodes 1111 may be positioned on the arm support 1104 at predetermined intervals from a portion where the elbow of the user touches to an end of the direction in which the user's hand faces.

However, the present invention is not limited thereto, and the plurality of hand electrodes may have any shape that may be in contact with the fingertip of the user.

In this case, as described above, the limb length recognition module 1400 may measure the arm length of the user. For example, the limb length recognition module 1400 may recognize the arm length of the user based on the number of electrodes from which the body contact of the user is recognized from the electrode closest to the user's body among the plurality of hand electrodes. As another example, the limb length recognition module 1400 may recognize the arm length of the user based on the number of electrodes of which the body contact of the user is not recognized from the electrode located farthest from the user's body among the plurality of hand electrodes. have.

However, the configuration of the limb length recognition module 1400 and the operation of measuring the arm length of the user are merely exemplary descriptions to help the understanding of the present disclosure, and the present disclosure is not limited thereto.

4 is a view for explaining a power generation pole included in a massage device for measuring bone density according to an embodiment of the present disclosure.

4 is described below with reference to the left leg support 1105 for convenience of description, the present disclosure is not limited thereto, and the same embodiments described below may be applied to the right leg support.

Referring to FIG. 4, an example of positions of a plurality of power poles 1112 located in the leg support 1105 of the massage device 1000 for measuring bone density is shown.

The plurality of power generation poles 1112 includes a front of a foot of a user, a back of a foot of a user, a top of a calf of a user, a bottom of a calf of a user, a top of a right side of a calf of a user, a bottom of a right side of a calf of a user, a top of a calf of a user, and a calf of a user. It can be located where the lower left side touches. However, the present invention is not limited thereto, and the plurality of power generating poles 1112 may be located at any place where the calf, the ankle, the foot, or the like of the user's knee or the like may be touched.

FIG. 5 is a flowchart illustrating an example of a method in which a massage device for measuring bone density in accordance with some embodiments of the present disclosure adjusts massage intensity based on bone density.

According to some embodiments of the present disclosure, the massage device 1000 for measuring bone density may measure an on-resistance value through an electrode unit 1110 including a plurality of electrodes in contact with at least a portion of a user's body accommodated in a body structure. It may be (S110).

Specifically, the on-resistance measuring unit 1310 included in the bone density measuring module 1300 of the massage device 1000 for measuring the bone density applies a current between the first electrode pair, and the first electrode pair due to the current The on-resistance value can be measured based on the voltage difference generated between the different electrode pairs.

The massage device 1000 for measuring bone density may recognize whether the posture of the user is a preset posture (S120).

Specifically, the pressure sensor 1120 included in the body structure 1100 of the massage apparatus 1000 for measuring bone density may recognize a pressure value applied to the chair when the user sits on the chair. In this case, the controller 1900 may determine whether the posture of the user is a preset posture based on the pressure value recognized by the pressure sensor 1120.

The configuration and operation principle of the above-described pressure sensor 1120 is only a detailed description of examples for helping understanding of the present disclosure, but the present disclosure is not limited thereto.

If the user's posture is not a preset posture (S120, No), the massage apparatus 1000 for measuring bone density periodically determines whether the posture of the user is a preset posture until the posture of the user is a preset posture. Can be checked aperiodically. Therefore, the massage device 1000 for measuring bone density may reduce the error of the arm length measurement value by measuring the arm length only when it is confirmed whether the posture of the user is correct.

On the other hand, the massage device 1000 for measuring the bone density, when the user's posture is a predetermined posture (S120, Yes), based on the number of electrodes that the body contact of the user was recognized among the hand electrodes included in the electrode unit, The arm length of the user may be recognized (S130).

Specifically, the limb length measurement module 1400 of the massage device 1000 for measuring the bone density is 10 at predetermined intervals from a portion where the plurality of hand electrodes 1111 touch the user's elbow to the end of the direction in which the user's hand is directed. If there are dogs, the number of electrodes in which the body contact of the user is recognized among the ten hand electrodes 1111 may be recognized.

For example, when the limb length measurement module 1400 recognizes that the user's body contact is recognized from the user's body to the seventh electrode among the ten hand electrodes 1111, the controller 1900 may store the memory 1800 in the memory 1800. The arm length of the user corresponding to the stored seventh electrode may be recognized.

The above-described number of the hand electrodes 1111 and the method of recognizing the length of the arm of the user by the controller 1900 are merely exemplary descriptions to help the understanding of the present disclosure, and the present disclosure is not limited thereto.

The massage device 1000 for measuring the bone density may measure the sitting height of the user based on the position of the user's head recognized by the head of the body structure. In addition, the massage device 1000 for measuring bone density may measure the leg length of the user based on the measured sitting height of the user (S140).

In detail, the limb length recognition module 1400 of the massage apparatus 1000 for measuring bone density may measure a sitting key of the user based on the head position of the user recognized by the head 1101. In addition, the limb length recognition module 1400 may measure the leg length of the user based on a difference value between the user's key value and the measured user's sitting key value included in the user's key information.

Herein, the user input unit 1600 may receive information about the user's key from the user. In detail, the user input unit 1600 may receive user information used to increase the accuracy of bone density measurement. Here, the user information may include information about the height of the user, information about the weight of the user, information about the age of the user and information about the gender of the user. However, the present invention is not limited thereto, and the user information may be used to measure the bone density of the user, or may be any information that can increase the accuracy of the bone density measurement value. For example, the user information may further include information about the eating habits of the user, information about the exercise habits of the user, information about the disease of the user, and information about the result of the health examination.

According to some other embodiments of the present disclosure, the limb length recognition module 1400 may estimate the leg length of the user based on the measured information about the arm length of the user and the height of the user. For example, the leg length of the user may be estimated using a leg length estimation data table estimating the leg length according to the height and arm length of the user stored in the memory 1800. As another example, the limb length recognition module 1400 may calculate the leg length of the user by using an estimation equation for estimating the leg length according to the height and the arm length of the user.

The above-described configuration of the limb length recognition module 1400 and the operation of calculating the leg length of the user are merely exemplary descriptions to help the understanding of the present disclosure, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, the bone density measurement unit 1320 may include an on-resist measurement unit 1310 measuring an on-resistance value, and the limb length recognition module 1400 may adjust an arm length of a user and a leg length of the user. When it is recognized, the bone density of the user may be measured using at least one of the arm length and the leg length of the user together with the on-resistance value (S150).

In detail, the bone density measurement module 1300 may calculate the bone volume of the user according to the arm length and the leg length of the user. In addition, the bone density measurement module 1300 may measure accurate bone density using the calculated user's bone volume and on-resistance value.

The operation of calculating the bone volume of the above-described bone density measurement module 1300 is merely an example of a detailed description to help understanding of the present disclosure, and the present disclosure is not limited thereto.

According to some other embodiments of the present disclosure, the bone density measuring unit 1320 may measure the bone density of the user based on the user information together with the on resistance value of the user. Specifically, the bone density measuring unit 1320 is based on the on-resistance value and information on the height of the user included in the user information, information on the weight of the user, information about the age of the user and information about the gender of the user The user's bone density can be measured.

The bone density measuring unit 1320 may receive user information and on-resistance value including one or more items by using the communication unit. The bone density measuring unit 1320 may input user information and on-resistance values including one or more items stored in the memory into the bone density measurement model. Here, the user information and the on resistance value may correspond to the learning biometric data.

Here, the user information may be data related to the health of the user. For example, the user information may include at least one of information about the height of the user, information about the weight of the user, information about the age of the user, and information about the gender of the user.

The bone density measurer 1320 may receive data from the on-resistance measurer 1310 that measures a user's on-resistance value.

For example, the bone density measuring unit 1320 may include information about the height of the user, information about the weight of the user, information about the age of the user, and information about the gender of the user, which are transmitted through the user terminal through the communication unit 1700. Can be delivered.

As another example, the bone density measuring unit 1320 may receive an item value for an item included in user information through the user input unit 1600. In detail, the bone density measuring unit 1320 may include information about a user's height, information about a user's weight, and a user through a user input unit 1600 such as a touch panel or a button included in the massage apparatus 1000 for measuring bone density. The bone density measuring unit 1320 may receive items of the biometric data by receiving information about the age of the user and information about the gender of the user.

As another example, the bone density measuring unit 1320 may include information about the height of the user A, information about the weight of the user A, information about the age of the user A, and information about the sex of the user A, stored in the memory 1800. The on-resistance value of the user A measured using the on-resistance measurer 1310 may be input.

Specifically, the bone density measuring unit 1320 may receive data of a user 178cm tall, weight 84kg, age 31, and male data of the user A using at least one of the user input unit 1600, the communication unit 1700, and the memory 1800. have. In addition, the bone density measuring unit 1320 may receive an on resistance value (eg, 650 Ω) of the user A using the on resistance measuring unit 1310.

The above-described user information and on-resistance value are merely illustrative of a detailed example to help understanding of the present disclosure, and the present disclosure is not limited thereto.

The bone density measuring unit 1320 may input the user information and the on-resistance value of the user to the learned bone density measurement model. Here, the learned bone density measurement model may mean a model generated by the controller 1900 of the massage apparatus 1000 for measuring bone density based on the learning biometric data and the learning bone density data of the user. However, the present invention is not limited thereto, and the bone density measurement model may be pre-stored in a memory of the massage apparatus 1000 for measuring bone density or may be received from an external server through a communication unit.

According to some embodiments of the present disclosure, the bone density measuring unit 1320 may generate bone density data using the user information and the on-resistance value of the user as input to the bone density measurement model.

In detail, the bone density measuring unit 1320 may input each item included in the user information of the user and the on-resistance value to each node included in the input layer of the bone density measurement model. The bone density measuring unit 1320 calculates each item by using a weight of a link connected to the input layer and transmits the items to one or more hidden nodes included in the hidden layer. The operation may include any mathematical algorithm. For example, the operation may include a product, a compound product, and the like, but the above description is only an example and the present disclosure is not limited thereto.

The bone density measurer 1320 may calculate user information and on-resistance values including one or more items input to the input layer and propagate the output layer through one or more hidden nodes. The bone density measuring unit 1320 calculates the value of each hidden node included in the hidden layer by using the weights of the links connected to the hidden node and propagates to the hidden node included in the other hidden layer or the output node included in the output layer. Can be.

The bone density measuring unit 1320 may generate the user's bone density based on the output of the output layer included in the learned bone density measurement model. The user's bone density may be data relating to the strength of the user's bones. For example, a user's bone density is an index compared to a bone density of a predetermined user group, an index compared to a bone density of a user group of the same age as the user of the user's bone density, a user group of the same gender as the user of the user's bone density It may include at least one of the index compared with the bone density of, the index compared with the bone density of the same ethnic group as the user of the bone density of the user, T-value and Z-value. T-values can include values expressed as standard deviations as compared to the average BMD of a young adult population at the same gender. Here, the Z-value means a difference from the mean BMD of the BMD of the same age group.

For example, a user's bone density may be a T-value when measured for postmenopausal women or men 50 years of age or older, and may be a Z-value when measured for children, adolescents, premenopausal women, or men 50 years of age or older. . For example, the bone density measuring unit 1320 may generate bone density of a user having a T-value of −1.5 based on the biometric data input to the learned bone density measurement model.

The above description of the user's bone density is only one detailed example to help understand the present disclosure, and the present disclosure is not limited thereto.

The bone density measuring unit 1320 may generate health risk information based on the bone density of the user. Health risk information may mean the probability of occurrence for health risks that may occur in the body. For example, the health risk information may be a probability of developing osteoporosis. For example, the bone density measuring unit 1320 may generate health risk information as data or a graph. In addition, the bone density measuring unit 1320 may be diagnosed as osteoporosis when the T-value is -0.1 or more, normal, when the T-value is -0.1 to -2.5, and when the T-value is -2.5 or less. Also, the bone density measuring unit 1320 may diagnose osteoporosis when the T value of the female patient in her 70s is -3.0. In addition, the bone density measurement unit 1320 generates health risk information by displaying a dot on a graph so as to know the position of the patient in the BMD distribution of the adult female group in the 30s when the T value of the female patient in the 70s is -3.0. can do.

The description of the method for generating the health risk information by the above-described bone density measuring unit 1320 is only a detailed example to assist in understanding the present disclosure, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, the massage device 1000 for measuring bone density may adjust massage strength based on the measured bone density of the user (S160).

Specifically, the control unit 1900 of the massage device 1000 for measuring bone density maintains the current massage strength, adjusts the massage strength to be stronger than the current massage strength, or massages less than the current massage strength, based on the measured bone density of the user. The massage module 1200 may be controlled to adjust the intensity.

A detailed description of controlling the massage module 1200 to control the massage intensity by the control unit 1900 of the massage device 1000 for measuring the bone density will be described later in detail with reference to FIG. 6.

FIG. 6 is a flowchart illustrating an example of a method in which a massage device for measuring bone density according to some embodiments of the present disclosure adjusts massage intensity according to a difference between standard bone density and user bone density.

According to some embodiments of the present disclosure, the massage device 1000 for measuring bone density may measure bone density of a user (S210).

Specific method for measuring the bone density of the user in the bone density measurement module 1300 of the massage device 1000 for measuring the bone density is described in detail in FIG. 5, the overlapping content is not described again, and focus on the following differences and more specific content Explain.

The massage apparatus 1000 for measuring bone density may calculate a standard bone density based on user information. In addition, the massage device 1000 for measuring bone density may calculate a difference value between the user's bone density and the standard bone density (S220).

In detail, the bone density measurement module 1300 of the massage apparatus 1000 for measuring bone density may calculate a standard bone density based on the age and gender of the user. Here, the standard bone density may refer to bone density that can be determined that the bone state is healthy. For example, the standard bone density may be 10 if the bone density of a healthy person having the same age and gender as the user is 10.

According to some embodiments of the present disclosure, a difference value between a user's BMD and a standard BMD is that a user's BMD is compared with a BMD of a predetermined user group, a BMD of the user is compared with a BMD of a user group of the same age as the user At least one of an index, an index comparing the bone density of a user group of the same gender as the user of the bone density of the user, an index, a T-value, and a Z-value compared to the bone density of the same ethnic group as the user of the bone density of the user Can mean. Here, the T-value may include a value expressed as a standard deviation compared to the average BMD of the young adult population in the same gender. Here, the Z-value means a difference from the mean BMD of the BMD of the same age group.

Massage device 1000 for measuring the bone density, if the value obtained by subtracting the standard bone density from the user bone density is less than 0 (S230, No), it can be adjusted weaker than the current massage strength (S250).

Specifically, the bone density measurement module 1300 may determine that the user's bone is weak because the user's bone density is lower than the standard bone density. Therefore, the controller 1900 may control the massage module 1200 to adjust the massage intensity to be weaker than the current massage intensity. For example, when the bone density measurement module 1300 has a standard bone density of 10 and the user has a bone density of 8, since the difference value obtained by subtracting the standard bone density from the user's bone density is negative, the user's bone state is determined to be weak. can do.

Therefore, the massage device 1000 for measuring bone density may weakly adjust the strength of the massage when the condition of the user's bone is weak, thereby preventing damage to the user's bone or pain in the bone that the user may feel.

On the other hand, the massage device 1000 for measuring bone density, if the value obtained by subtracting the standard bone density from the user bone density is 0 or more (S230, Yes), it is recognized whether the difference value obtained by subtracting the standard bone density from the user bone density is more than the preset value. It may be (S240).

The massage apparatus 1000 for measuring bone density may maintain the current massage strength when the difference value obtained by subtracting the standard bone density from the user bone density is less than the predetermined value (S240, No) (S270).

That is, the bone density measurement module 1300 may determine that the bone state of the user is a standard because the bone density of the user is a standard bone density level. Accordingly, the controller 1900 may control the massage module 1200 to maintain the massage intensity at the current massage intensity. Here, the current massage strength of the massage device 1000 for measuring bone density may be adjusted assuming that the user's bone state is a standard.

On the other hand, the massage device 1000 for measuring the bone density, if the difference value obtained by subtracting the standard bone density from the user bone density is more than a predetermined value (S240, Yes), it can be adjusted more strongly than the current massage strength (S260).

Here, the predetermined value compared with the difference value obtained by subtracting the standard bone density from the user bone density may be a difference value between a value determined to be strong in the bone state of the user and a value determined to be standard in the bone state of the user. For example, the predetermined value may be 2, which is a difference value of 12 minus 10 when the standard bone density is 10 and the bone density determined to be strong is 12.

That is, the bone density measurement module 1300 may determine that the bone state of the user is strong since the bone density of the user is higher than the standard bone density when the difference value obtained by subtracting the standard bone density from the user bone density is greater than or equal to the preset value. Accordingly, the controller 1900 may control the massage module 1200 to adjust the massage intensity to be stronger than the current massage intensity.

Therefore, the massage device 1000 for measuring bone density may increase the mechanical stimulus transmitted to the user through the massage module 1200 by strongly adjusting the massage strength when the user's bone state is strong. In other words, the user may be provided with a more efficient massage.

The operation of adjusting the massage strength according to the user's bone density by the massage device 1000 measuring the bone density is merely an example of a detailed description to help understand the present disclosure, and the present disclosure is not limited thereto.

5 and 6 may be changed in order as necessary, and at least one or more steps may be omitted or added. In addition, the above-described steps are only embodiments of the present disclosure, and the scope of the present disclosure is not limited thereto.

7 is a schematic diagram illustrating a network function in accordance with some embodiments of the present disclosure.

Throughout this specification, computational models, neural networks, network functions, neural networks may be used in the same sense. A neural network may consist of a set of interconnected computing units, which may generally be referred to as "nodes." Such "nodes" may be referred to as "neurons". The neural network comprises at least one node. The nodes (or neurons) that make up the neural networks may be interconnected by one or more "links".

Within a neural network, one or more nodes connected via a link may form a relationship of input node and output node relatively. The concept of an input node and an output node is relative; any node in an output node relationship for one node may be in an input node relationship in relation to another node, and vice versa. As mentioned above, the input node to output node relationship can be created around the link. More than one output node can be connected to a single input node via a link, and vice versa.

In an input node and output node relationship connected via one link, the output node may be determined based on data input to the input node. Here, the node interconnecting the input node and the output node may have a weight. The weight may be variable, and may be varied by the user or algorithm in order for the neural network to perform the desired function. For example, if more than one input node is interconnected by each link to one output node, the output node is set to values input to the input nodes associated with the output node and to the links corresponding to the respective input nodes. The output node value may be determined based on the weight.

As described above, a neural network is formed by interconnecting one or more nodes through one or more links to form an input node and an output node relationship within the neural network. The characteristics of the neural network may be determined according to the number of nodes and links in the neural network, the relationship between the nodes and the links, and the value of the weights assigned to the links. For example, if there are the same number of nodes and links, and there are two neural networks with different weight values between the links, the two neural networks may be recognized as different from each other.

The neural network may comprise one or more nodes. Some of the nodes that make up the neural network may construct one layer based on distances from the original input node, for example, a set of nodes with a distance n from the original input node, You can configure n layers. The distance from the original input node may be defined by the minimum number of links that must pass to reach the node from the original input node. However, the definition of such a layer is arbitrary for explanation, and the order of the layer in the neural network may be defined in a manner different from that described above. For example, a layer of nodes may be defined by distance from the final output node.

The initial input node may refer to one or more nodes to which data is directly input without going through a link in relation to other nodes among the nodes in the neural network. Alternatively, in a neural network network, in a relationship between nodes based on a link, it may mean nodes having no other input nodes connected by a link. Similarly, the final output node may refer to one or more nodes that do not have an output node in relation to other nodes of the nodes in the neural network. Also, the hidden node may refer to nodes constituting a neural network other than the first input node and the last output node. The neural network according to some embodiments of the present disclosure may have the same number of nodes in the input layer as the number of nodes in the output layer, and the number of nodes decreases and then increases again as the number of nodes in the input layer moves from the input layer to the hidden layer. Can be. In addition, the neural network according to another embodiment of the present disclosure may be a neural network in which the number of nodes in the input layer is smaller than the number of nodes in the output layer, and the number of nodes decreases as the input layer progresses from the input layer to the hidden layer. have. In addition, the neural network according to another embodiment of the present disclosure may have a larger number of nodes in the input layer than the number of nodes in the output layer, and the number of nodes increases as the number of nodes increases from the input layer to the hidden layer. Can be. The neural network according to another embodiment of the present disclosure may be a neural network in a combined form of the neural networks described above.

A deep neural network (DNN) may refer to a neural network including a plurality of hidden layers in addition to an input layer and an output layer. Deep neural networks can be used to identify latent structures of data. In other words, you can identify the potential structures of photos, texts, videos, voices, and music (e.g., what objects are in the photos, what the content and emotions of the text are, and what the content and emotions of the voice are). . Deep neural networks include convolutional neural networks (CNNs), recurrent neural networks (RNNs), auto encoders, Generic Adversarial Networks (GAN), restricted boltzmann (RBM) machine), deep belief network (DBN), Q network, U network, Siamese network and the like. The description of the deep neural network described above is merely an example and the present disclosure is not limited thereto.

The neural network may be learned in at least one of supervised learning, unsupervised learning, and semi supervised learning. Training of neural networks is intended to minimize errors in the output. In the neural network learning, the neural network error is inputted from the output layer of the neural network in order to repeatedly input the training data into the neural network, calculate the neural network output and target errors for the training data, and reduce the errors. The process of updating the weight of each node of the neural network by backpropagation in the direction. In the case of teacher learning, the learning data using the correct answer is labeled in each learning data (ie, the labeled learning data), and in the case of the comparative learning, the correct answer may not be labeled in each learning data. That is, for example, the learning data in the case of teacher learning regarding data classification may be data in which a category is labeled in each of the learning data. The labeled training data is input to the neural network, and an error can be calculated by comparing the label of the training data with the output (category) of the neural network. As another example, in the case of non-comparative learning on data classification, an error may be calculated by comparing learning data as an input with a neural network output. The calculated error is propagated backward in the neural network (ie, the direction from the output layer to the input layer), and the connection weight of each node of each layer of the neural network may be updated according to the reverse propagation. The connection weight of each node to be updated may be changed according to a learning rate. The computation of the neural network for the input data and the backpropagation of the errors can constitute a learning cycle. The learning rate may be applied differently according to the number of repetitions of the learning cycle of the neural network. For example, in the early stages of neural network learning, high learning rates can be used to allow the neural network to quickly achieve a certain level of performance, increasing efficiency, and lower learning rates for later learning.

In the learning of neural networks, in general, the training data may be a subset of the actual data (i.e., the data to be processed using the trained neural network), thus reducing the error for the training data but not the error for the actual data. There may be an increasing learning cycle. Overfitting is a phenomenon in which an error about the actual data is increased by excessively learning the training data. For example, a neural network that learns a cat by showing a yellow cat may not recognize that the cat is a cat other than a yellow cat. Overfitting can act as a cause of increased errors in machine learning algorithms. Various optimization methods can be used to prevent such overfitting. In order to prevent overfitting, a method of increasing learning data, regulating, or dropping out of a node of a network in the course of learning may be applied.

8 is an exemplary view illustrating a bone density measurement model according to some embodiments of the present disclosure.

First, in the description of FIG. 8, the biometric data may include the above-described user information and information on an on-resistance value of the user. In addition, the bone density data may be represented by the same meaning as the bone density of the user described above. Accordingly, the components of the biometric data and bone density data described below for convenience of description are not limited by these terms.

A learning method in a bone density measurement model according to some embodiments of the present disclosure will be described. In this example, one or more hidden layers may be included between the hidden layer 1 640 and the hidden layer 2 650, and the one or more hidden layers may be omitted.

The controller 1900 may generate a bone density measurement model including one or more network functions 600. The network function 600 may include one input layer 630, one or more hidden layers, and one output layer 660.

The controller 1900 may input training biometric data to the network function 600 of the bone density measurement model. Each item of training biometric data may be input to each input node included in the input layer 630 of the network function 600 of the bone density measurement model. For example, an item value for height 179 cm is a first input node 601, an item value for weight 78 kg is a second input node 602, an item value for age 32 is a third input node 603, The item value for gender male may be input to fourth input node 604 and the item value for impedance 600 Ω to fifth input node 605. The description of the above-described item value is only an example, and the present disclosure is not limited thereto.

The controller 1900 may calculate each item value input to an input node included in the input layer 630 of the network function 600 by using a weight set on a link connected to the input node and propagate it to the hidden layer. For example, the first hidden node 620 included in the hidden layer 1 640 is a value obtained by calculating a value passed to the first input node 601 and a first weight 611, and a second input node 602. ), The value passed to the third input node 603 and the value passed to the third input node 603, the value passed to the fourth input node 604, and the fourth weight The calculated value, the value transferred to the fifth input node 605, and the value calculated by the fifth weight may be received. For example, the first hidden node 620 included in the hidden layer 1 640 is a value obtained by multiplying the value passed to the first input node 601 by the first weight 611, and the second input node 602. A value multiplied by a second weighted value, a value multiplied by a third weighted value and a value passed to a third input node 603, a value multiplied by a fourth weighted value, and a value transmitted to a fourth input node 604, The sum of the value multiplied by the fifth weighted value and the value transmitted to the fifth input node 605 may be received. The description of the above operation is merely an example, and the present disclosure is not limited thereto.

The training biometric data of the network function 600 may be propagated from the input layer 630 to the output layer 660 through the hidden layer 1 640 and the hidden layer 2 650. The weight of the network function 600 may be adjusted based on an error between bone density data (ie, output) and learning bone density data (ie, correct answer), which are output values at the output node 662 included in the output layer 660. . The controller propagates the error from the output layer 660 of the network function 500 to the input layer 630 via one or more hidden layers (e.g., hidden layer 2 650, then hidden layer 1 640). In addition, the weights set for each link may be updated (for example, after adjusting the weights of W2 (1,1) 631), the weights of W1 (1,1) 611 may be adjusted.

According to some embodiments of the present disclosure, a bone density measurement model may be generated based on the learning biometric data and the learning bone density data of the user.

A method for generating bone density data using a trained bone density measurement model according to some embodiments of the present disclosure will be described.

The controller 1900 may input each item value of items included in the biometric data of the user to each of the input nodes included in the input layer 630 of the network function 600. For example, the controller 1900 may input a value corresponding to 176 cm, which is an item value of a key, of biometric data to the first input node 601 of the input layer 630. The controller 1900 may weight the value input to the input layer 630 of the network function 600 (in this example, the first weight W1 (1,1) 611) and the second weight W2 (1,1). Output node 662 included in output layer 660 via one or more hidden nodes (in this example, including hidden layer 1 640 and hidden layer 2 650) The controller 1900 transmits the bone density data, which is an output value of the output node 662, through the network unit 420, to store in the memory 430, or to display means (eg, a display). The above description of the method for generating bone density data is only an example, and the present disclosure is not limited thereto.

According to some embodiments of the present disclosure, bone density data may be generated by using biometric data of a user as an input of a learned bone density measurement model.

9 shows a brief general schematic of an exemplary computing environment in which some embodiments of the present disclosure may be implemented.

Although the present disclosure has been described above generally with respect to computer executable instructions that may be executed on one or more computers, those skilled in the art will appreciate that the present disclosure may be implemented in combination with other program modules and / or as a combination of hardware and software. will be.

In general, modules herein include routines, procedures, programs, components, data structures, etc. that perform particular tasks or implement particular abstract data types. In addition, those skilled in the art will appreciate that the methods of the present disclosure may include uniprocessor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, handheld computing devices, microprocessor-based or programmable consumer electronics, and the like (each of which And other computer system configurations, including one or more associated devices.

The described embodiments of the present disclosure can also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

Computers typically include a variety of computer readable media. Any medium that can be accessed by a computer can be a computer readable medium, which can be volatile and nonvolatile media, transitory and non-transitory media, removable and non-transitory media. Removable media. By way of example, and not limitation, computer readable media may comprise computer readable storage media and computer readable transmission media. Computer-readable storage media are volatile and nonvolatile media, temporary and non-transitory media, removable and non-removable implemented in any method or technology for storing information such as computer readable instructions, data structures, program modules or other data. Media. Computer storage media may include RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROMs, digital video disks or other optical disk storage devices, magnetic cassettes, magnetic tapes, magnetic disk storage devices or other magnetic storage devices, Or any other medium that can be accessed by a computer and used to store desired information.

Computer-readable storage media are volatile and nonvolatile media, temporary and non-transitory media, removable and non-removable implemented in any method or technology for storing information such as computer readable instructions, data structures, program modules or other data. Media. Computer-readable storage media include RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital video disk or other optical disk storage device, magnetic cassette, magnetic tape, magnetic disk storage device or other magnetic storage. It includes, but is not limited to, a device or any other medium that can be accessed by a computer and used to store desired information.

Computer-readable transmission media typically embody computer readable instructions, data structures, program modules or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and the like. Includes all information delivery media. The term modulated data signal refers to a signal that has one or more of its characteristics set or changed to encode information in the signal. By way of example, and not limitation, computer readable transmission media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared, or other wireless media. Combinations of any of the above should also be included within the scope of computer readable transmission media.

An exemplary environment 1500 is illustrated that implements various aspects of the present disclosure, including a computer 1502, which includes a processing unit 1504, a system memory 1506, and a system bus 1508. do. The system bus 1508 connects system components, including but not limited to system memory 1506, to the processing unit 1504. Processing unit 1504 may be any of a variety of commercial processors. Dual processor and other multiprocessor architectures may also be used as the processing unit 1504.

The system bus 1508 can be any of several types of bus structures that can be further interconnected to a memory bus, a peripheral bus, and a local bus using any of a variety of commercial bus architectures. System memory 1506 includes read only memory (ROM) 1510 and random access memory (RAM) 1512. The basic input / output system (BIOS) is stored in nonvolatile memory 1510, such as ROM, EPROM, EEPROM, etc., which is a basic BIOS that assists in transferring information between components in the computer 1502, such as during startup. Contains routines. RAM 1512 may also include fast RAM, such as static RAM, for caching data.

Computer 1502 also includes an internal hard disk drive (HDD) 1514 (e.g., EIDE, SATA) —this internal hard disk drive 1514 may also be configured for external use within a suitable chassis (not shown). Yes, magnetic floppy disk drive (FDD) 1516 (eg, for reading from or writing to removable diskette 1518), and optical disk drive 1520 (eg, CD-ROM Disc 1522, for reading from or writing to other high capacity optical media such as DVD). The hard disk drive 1514, the magnetic disk drive 1516, and the optical disk drive 1520 are respectively connected to the system bus 1508 by the hard disk drive interface 1524, the magnetic disk drive interface 1526, and the optical drive interface 1528. ) Can be connected. The interface 1524 for external drive implementation includes, for example, at least one or both of Universal Serial Bus (USB) and IEEE 1394 interface technologies.

These drives and their associated computer readable media provide nonvolatile storage of data, data structures, computer executable instructions, and the like. In the case of computer 1502, drives and media correspond to storing any data in a suitable digital format. While the above description of computer readable storage media refers to HDDs, removable magnetic disks, and removable optical media such as CDs or DVDs, those skilled in the art will appreciate zip drives, magnetic cassettes, flash memory cards, cartridges, Other types of computer readable media, such as the like, may also be used in the exemplary operating environment and it will be appreciated that any such media may include computer executable instructions for performing the methods of the present disclosure. .

Multiple program modules may be stored in the drive and RAM 1512, including operating system 1530, one or more application programs 1532, other program modules 1534, and program data 1536. All or a portion of the operating system, applications, modules and / or data may also be cached in RAM 1512. It will be appreciated that the present disclosure may be implemented in various commercially available operating systems or combinations of operating systems.

A user may enter commands and information into the computer 1502 through one or more wired / wireless input devices, such as a keyboard 1538 and a mouse 1540. Other input devices (not shown) may include a microphone, IR remote control, joystick, game pad, stylus pen, touch screen, and the like. While these and other input devices are often connected to the processing unit 1504 via an input device interface 1542 that is connected to the system bus 1508, the parallel port, IEEE 1394 serial port, game port, USB port, IR interface, Etc. can be connected by other interfaces.

A monitor 1544 or other type of display device is also connected to the system bus 1508 via an interface such as a video adapter 1546. In addition to the monitor 1544, the computer generally includes other peripheral output devices (not shown) such as speakers, printers, and the like.

Computer 1502 may operate in a networked environment using logical connections to one or more remote computers, such as remote computer (s) 1548, via wired and / or wireless communications. Remote computer (s) 1548 may be a workstation, server computer, router, personal computer, portable computer, microprocessor-based entertainment device, peer device, or other conventional network node, and generally for computer 1502. Although many or all of the described components are included, for simplicity, only memory storage 1550 is shown. The logical connections shown include wired / wireless connections to a local area network (LAN) 1552 and / or a larger network, such as a telecommunications network (WAN) 1554. Such LAN and WAN networking environments are commonplace in offices and businesses, facilitating enterprise-wide computer networks such as intranets, all of which can be connected to worldwide computer networks, such as the Internet.

When used in a LAN networking environment, the computer 1502 is connected to the local network 1552 via a wired and / or wireless communication network interface or adapter 1556. The adapter 1556 can facilitate wired or wireless communication to the LAN 1552, which also includes a wireless access point installed therein for communicating with the wireless adapter 1556. When used in a WAN networking environment, the computer 1502 may include a modem 1558, may be connected to a communication server on the WAN 1554, or other means of establishing communications over the WAN 1554, such as over the Internet. Has The modem 1558, which may be an internal or external and wired or wireless device, is connected to the system bus 1508 via the serial port interface 1542. In a networked environment, program modules or portions thereof described with respect to computer 1502 may be stored in remote memory / storage device 1550. It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers can be used.

Computer 1502 is associated with any wireless device or entity disposed and operating in wireless communication, such as a printer, scanner, desktop and / or portable computer, portable data assistant, communications satellite, wireless detectable tag. Communicate with any equipment or location and telephone. This includes at least Wi-Fi and Bluetooth wireless technology. Thus, the communication can be a predefined structure as in a conventional network or simply an ad hoc communication between at least two devices.

Wireless Fidelity (Wi-Fi) allows you to connect to the Internet without wires. Wi-Fi is a wireless technology such as a cell phone that allows a device, for example, a computer, to transmit and receive data indoors and outdoors, ie anywhere within the coverage area of a base station. Wi-Fi networks use a wireless technology called IEEE 802.11 (a, b, g, etc.) to provide secure, reliable, high-speed wireless connections. Wi-Fi may be used to connect computers to each other, to the Internet, and to a wired network (using IEEE 802.3 or Ethernet). Wi-Fi networks can operate in unlicensed 2.4 and 5 GHz wireless bands, for example, at 11 Mbps (802.11a) or 54 Mbps (802.11b) data rates, or in products that include both bands (dual band). have.

One of ordinary skill in the art of the disclosure will appreciate that the various illustrative logical blocks, modules, processors, means, circuits and algorithm steps described in connection with the embodiments disclosed herein may be implemented in electronic hardware, It will be appreciated that for purposes of the present invention, various forms of program or design code, or combinations thereof, may be implemented. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the particular application and design constraints imposed on the overall system. Those skilled in the art of the present disclosure may implement the described functionality in various ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

The various embodiments presented herein may be embodied in a method, apparatus, or article of manufacture using standard programming and / or engineering techniques. The term "article of manufacture" includes a computer program, carrier, or media accessible from any computer-readable device. For example, computer-readable storage media may include magnetic storage devices (eg, hard disks, floppy disks, magnetic strips, etc.), optical disks (eg, CDs, DVDs, etc.), smart cards, and flashes. Memory devices (eg, EEPROM, cards, sticks, key drives, etc.), but are not limited to these. The term “machine-readable medium” includes, but is not limited to, a wireless channel and various other media capable of storing, retaining, and / or delivering instruction (s) and / or data.

It is to be understood that the specific order or hierarchy of steps in the processes presented is an example of exemplary approaches. Based upon design priorities, it is understood that the specific order or hierarchy of steps in the processes may be rearranged within the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, but are not meant to be limited to the specific order or hierarchy presented.

The description of the presented embodiments is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the present disclosure. Thus, the present disclosure should not be limited to the embodiments set forth herein but should be construed in the broadest scope consistent with the principles and novel features set forth herein.

Claims (13)

As a massage device for measuring bone density,
A body structure defining an area for receiving at least a portion of a user's body and forming an appearance of the massage device;
A massage module for providing a massage function to at least a portion of the user's body received in the area within the body structure;
Bone density measuring an on-resistance value through an electrode unit including a plurality of electrodes in contact with at least a portion of the user's body accommodated in the area within the body structure, and measuring the bone density of the user based on the on-resistance value A measurement module; And
A control unit controlling one or more operations of the massage device;
Containing,
Massage device to measure bone density.
The method of claim 1,
The control unit,
Controlling the massage module to adjust massage intensity based on the bone density measured by the bone density measurement module,
Massage device to measure bone density.
The method of claim 1,
The body structure,
Head portion for supporting the head of the user;
A backrest for supporting the back of the user;
A seat unit in which the user can sit;
An arm support for supporting the arm of the user; And
A leg support for supporting the leg of the user;
Containing,
Massage device to measure bone density.
The method of claim 3, wherein
The electrode unit,
A plurality of hand electrodes positioned in at least one region of the arm support; And
A plurality of power generation poles positioned in at least one region of the leg support;
Including,
Massage device to measure bone density.
The method of claim 4, wherein
A limb length recognition module recognizing an arm length and a leg length of the user;
More,
The bone density measurement module,
Measuring the bone density of the user using at least one of the arm length of the user and the length of the leg of the user with the on-resistance value,
Massage device to measure bone density.
The method of claim 4, wherein
A posture measuring module configured to recognize a posture of the user;
More,
The control unit,
When the posture measuring module recognizes that the posture of the user is a preset posture, controlling the limb length recognition module to measure the arm length of the user,
Massage device to measure bone density.
The method of claim 6,
The posture measurement module,
The posture of the user is measured based on a pressure value recognized by a pressure sensor provided in at least one of the head part, the backrest part, the seat part, the arm support part and the leg support part.
Massage device to measure bone density.
The method of claim 5, wherein
The plurality of hand electrodes,
In order to recognize the arm length of the user, the arm support includes a plurality of electrodes installed at a predetermined interval in the direction toward the hand from the user's body,
The limb length recognition module,
Recognizing the arm length of the user based on the number of electrodes that the body contact of the user is recognized among the plurality of hand electrodes,
Massage device to measure bone density.
The method of claim 5, wherein
A user input unit configured to receive user information including information about the user's key;
More,
The limb length recognition module,
The sitting key of the user is measured based on the position of the head of the user recognized by the head,
Calculating the leg length of the user based on the information on the height of the user and the measured sitting key of the user,
Massage device to measure bone density.
The method of claim 9,
The user information,
At least one of information about the weight of the user, information about the height of the user, information about the age of the user and information about the gender of the user,
Massage device to measure bone density.
The method of claim 1,
The bone density measurement module,
A current is applied between at least two first electrode pairs of the plurality of electrodes included in the electrode unit, and due to the current, between at least two second electrode pairs different from the first electrode pair of the plurality of electrodes. An on-resistance measuring unit configured to measure an on-resistance value based on a voltage difference generated in the; And
A bone density measuring unit measuring bone density based on the on-resistance value and user information;
Containing,
Massage device to measure bone density.
The method of claim 11,
The bone density measurement module,
Based on the user information, a standard bone density is calculated,
Calculating a difference value between the bone density of the user and the standard bone density,
The control unit,
Controlling the massage module to adjust massage intensity based on the magnitude of the difference value,
Massage device to measure bone density.
The method of claim 11,
The user information,
At least one of information about the weight of the user, information about the height of the user, information about the age of the user and information about the gender of the user,
Massage device to measure bone density.

Images