KR102692922B1 - Respiratory detecting device and rehabilitation training method using the same - Google Patents

Abstract

The present invention relates to a breathing training system and method linked to a breathing detection device. The rehabilitation training method comprises the steps of: providing breathing training content to a user terminal; receiving breathing data on the user's inhalation or exhalation measured by the breathing detection device while the user performs the breathing training content; receiving performance data on the breathing training content from the user terminal; calculating a breathing pattern of the user based on the breathing data and determining whether the calculated breathing pattern is within a preset reference range; and adjusting the inhalation resistance or expiratory resistance of the breathing detection device in order to control the user's breathing when the breathing pattern deviates from the preset reference range, wherein the breathing data is measured by a breathing detection module which is installed inside the breathing detection device, has one surface of a sealed outer surface made of an elastic material, and has a pressure sensor inside.

Description

{Respiratory detecting device and rehabilitation training method using the same}

The present invention relates to a rehabilitation training method that provides content for symptom improvement tailored to a user in conjunction with a breathing detection device.

Chronic obstructive pulmonary disease (COPD) is a disease that occurs due to chronic bronchitis, emphysema that damages the alveolar structure, or a combination of the two diseases, and the airway from the bronchial tubes to the alveoli is obstructed. Symptoms include a cough with sputum that continues for a long time, difficulty breathing due to reduced airflow speed caused by airway obstruction, and frequent respiratory infections such as colds. This disease is a cause of high mortality worldwide, and the number is rapidly increasing due to smoking, air pollution, etc.

Even if COPD develops, rapid worsening can be suppressed through continuous treatment, but due to irregular medication intake, rapid increase in fine dust, delayed discovery of symptoms directly related to COPD, sudden occurrence of respiratory viruses, rapid temperature changes, etc., COPD patients can rapidly weaken and die in a short period of time.

Therefore, it is desirable to reduce the damage caused by deterioration by predicting the occurrence of deterioration and starting treatment to prevent the occurrence of deterioration or treat symptoms early.

Furthermore, COPD patients may be exposed to the possibility of acute exacerbation due to the above-mentioned factors after visiting a hospital, but since they cannot predict the possibility of acute exacerbation by themselves, if patients visit a hospital after an acute exacerbation, unexpected results may occur. Therefore, there is an increasing need for home medical devices that can predict the possibility of acute exacerbation by themselves before visiting a hospital and easily access rehabilitation treatment at home.

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Publication of Patent Publication No. 10-2021-0007785 (January 20, 2021)

The purpose of the present invention is to provide a rehabilitation training method that detects a user's breathing pattern and provides breathing training content for rehabilitation treatment tailored to the user using the detected breathing pattern.

In addition, an object of the present invention is to provide a rehabilitation training method that controls resistance to inhalation and exhalation of a breathing detection device so that the user's breathing pattern can be adjusted in conjunction with breathing training content provided to the user.

In addition, an object of the present invention is to provide a rehabilitation training method capable of detecting the movement of a user wearing a breathing detection device and manipulating the movement of an avatar provided in conjunction with breathing training content.

In addition, the purpose of the present invention is to provide a rehabilitation training method capable of evaluating the rate of improvement in a user's exercise ability through breathing training content provided to the user in a gamified form and providing breathing training content tailored to the user based on the evaluation result.

The purposes of the present invention are not limited to the purposes mentioned above, and other purposes and advantages of the present invention which are not mentioned can be understood by the following description, and will be more clearly understood by the embodiments of the present invention. In addition, it will be easily understood that the purposes and advantages of the present invention can be realized by the means and combinations thereof indicated in the claims.

According to some embodiments of the present invention, a rehabilitation training method includes the steps of: providing breathing training content to a user terminal; receiving breathing data regarding the user's inhalation or exhalation measured by a breathing detection device while the user performs the breathing training content; receiving performance data regarding the breathing training content from the user terminal; calculating a breathing pattern of the user based on the breathing data and determining whether the calculated breathing pattern is within a preset reference range; and adjusting inhalation resistance or expiratory resistance of the breathing detection device in order to control the user's breathing when the breathing pattern deviates from the preset reference range, wherein the breathing data is measured by a breathing detection module which is installed inside the breathing detection device, has one surface of a sealed outer surface made of an elastic material, and has a pressure sensor inside.

In addition, the step of controlling the inhalation resistance or expiratory resistance may include calculating a normal breathing rate or a normal breathing maintenance rate from the breathing pattern, calculating a cognitive ability improvement rate of the user based on the performance data, changing the type or level of the breathing training content based on the normal breathing rate or the normal breathing maintenance rate and the cognitive ability improvement rate, and controlling the inhalation resistance or expiratory resistance of the breathing detection device based on the changed type or level of the breathing training content.

In addition, depending on the type or level of the breathing training content, the method may further include a step of generating a control signal for controlling the inhalation resistance or the expiratory resistance of the breathing detection device, and a step of controlling the inhalation resistance or the expiratory resistance of the breathing detection device using the control signal.

In addition, the breathing training content includes each mission that induces a different breathing pattern, and depending on the mission, the size of the inhalation resistance or the expiratory resistance of the breathing detection device can be adjusted.

Additionally, the breathing pattern induced in the above mission may include an inhalation or exhalation that is stronger than the reference value, an inhalation or exhalation that is weaker than the reference value, an inhalation or exhalation that is shorter than the reference value, or an inhalation or exhalation that is regular or irregular.

Additionally, the inspiratory resistance or expiratory resistance can be divided into at least two resistance stages.

In addition, the breathing training content includes performing a mission based on manipulation of an avatar, and the manipulation of the avatar can be performed using motion data measured by a motion sensor equipped in the breathing detection device or the user terminal.

In addition, the breathing detection device may further include a step of recognizing the specific pattern on the breathing detection device by analyzing an image captured through a separate camera connected to the cognitive ability training system, wherein the image includes a specific pattern displayed on a surface, and a step of extracting movement of the specific pattern and performing manipulation on the avatar based on the extracted movement of the specific pattern.

Meanwhile, a respiration detection device according to some embodiments of the present invention includes a mask body having an opening in the central portion, a mask cover coupled to the opening of the mask body, a sealing portion coupled to one side of the mask body and covering a portion of a user's face, a suction hole formed between the mask body and the mask cover, a respiratory resistance control module installed on the inside of the mask cover to control the inhalation resistance or exhalation resistance of the respiration detection device by controlling the open area of the suction hole, and a respiration detection module installed on the inside of the mask cover to measure respiration data for the user's inhalation or exhalation, wherein the respiration detection module includes one surface of a sealed outer surface formed of an elastic material and a pressure sensor provided therein.

In addition, the respiration detection module may include a side facing the face of a user wearing the respiration detection device made of the elastic material, the inside of which is formed to be sealed so that the pressure inside changes according to the movement of the elastic material, the pressure sensor is installed on the inside of the other side facing the elastic material, and a port capable of transmitting and receiving data or power and connected to the pressure sensor is provided on the outside of the other side.

The rehabilitation training method according to the present invention can increase the user's concentration on rehabilitation treatment and compliance with rehabilitation treatment training by providing the user with respiratory training content for rehabilitation treatment and integrating respiratory rehabilitation treatment with IT.

In addition, the present invention can naturally guide the user's breathing pattern by controlling the resistance to inhalation and exhalation of the breathing detection device while the user is performing content, thereby improving the user's breathing and COPD-related symptoms.

In addition, the present invention can increase the user's concentration on content by manipulating the movement of an avatar provided within breathing training content based on the movement of a user wearing a breathing detection device in virtual reality or augmented reality.

In addition, the present invention can minimize the user's burden and resistance to rehabilitation treatment by evaluating the user's rate of improvement in exercise ability while the user is performing content and selecting and providing breathing training content to increase the user's rate of improvement.

In addition, the present invention can be configured to store the user's status as data by utilizing gamified content with a high compliance rate that is integrated with a rehabilitation program, and to use it for selecting various rehabilitation contents in the future. In addition, by providing services such as recommending the most suitable program for the user and providing reminders based on the user's breathing improvement data, the convenience of the user's use of rehabilitation treatment services can be maximized.

In addition to the above-described contents, the specific effects of the present invention are described together with the specific matters for carrying out the invention below.

Figure 1 is a block diagram showing a breathing training system according to an embodiment of the present invention.
Figure 2 is a block diagram illustrating components of the breathing training system of Figure 1.
FIGS. 3 to 8 are drawings for explaining a respiration detection device according to some embodiments of the present invention.
Figure 9 is a flowchart illustrating an example of a rehabilitation training method according to an embodiment of the present invention.
Figure 10 is a flowchart illustrating another example of a rehabilitation training method according to an embodiment of the present invention.
FIG. 11 is a flowchart illustrating another example of a rehabilitation training method according to an embodiment of the present invention.
Figure 12 is a flowchart illustrating a process of providing a training process suitable for a subject in a breathing training system according to an embodiment of the present invention.

The terms or words used in this specification and the claims should not be interpreted as limited to their general or dictionary meanings. In accordance with the principle that the inventor can define the concept of a term or word in order to best explain his or her invention, they should be interpreted as meanings and concepts that are consistent with the technical idea of the present invention. In addition, the embodiments described in this specification and the configurations illustrated in the drawings are only one embodiment in which the present invention is realized, and do not represent the entire technical idea of the present invention, so it should be understood that there may be various equivalents, modifications, and applicable examples that can replace them at the time of this application.

The breathing training system and method of the present invention can be applied and utilized not only to patients with chronic obstructive pulmonary disease (hereinafter, COPD) as mentioned above, but also to patients with autism spectrum disorder and mild cognitive impairment (MCI) and dementia in the current disease classification system (DSM-V), and can be utilized by the general public who want to know their own advanced exercise information and the general public who want to improve their children's breathing. Hereinafter,

In addition, the breathing training system of the present invention can utilize all information that can be collected, such as the user's symptom information, age information, gender information, prescription information for symptoms, and software utilization information. The breathing training system of the present invention can derive the optimal scenario for the degree of improvement by symptom, age, treatment method, gender, and characteristic by converting the collected information into big data, or can utilize it for artificial intelligence analysis to derive related statistics and key related data.

Hereinafter, a breathing training system and method for providing content for improving breathing that is tailored to the user in conjunction with a breathing detection device will be described in detail with reference to drawings.

Figure 1 is a block diagram showing a breathing training system according to an embodiment of the present invention.

Referring to FIG. 1, a breathing training system according to an embodiment of the present invention includes a diagnostic treatment server (100), a breathing detection device (200), and a user terminal (300).

The diagnostic treatment server (100) can store and manage data related to the user's breathing, and select and provide content for improving breathing (hereinafter, breathing training content) tailored to the user.

At this time, the diagnostic treatment server (100) can select and provide optimal breathing training content suited to the user based on big data collected from various users.

In addition, the diagnostic treatment server (100) can select and recommend breathing training content that can improve the user's breathing as much as possible by using a machine learning module learned based on the collected big data.

For example, the diagnostic treatment server (100) can receive the user's breathing condition, environmental information, performance history and improvement rate of past breathing training content as input parameters, and the current breathing training content and the achievement rate of the breathing training content currently being performed as output parameters to train machine learning.

Next, the diagnostic treatment server (100) calculates a candidate group of breathing training contents that can be provided to the user and an expected improvement rate of breathing based on the user's breathing condition, environmental information, performance history of the current breathing training contents, and improvement rate, and selects breathing training contents with the highest expected improvement rate among the candidates as recommended contents and provides them to the user.

The diagnosis treatment server (100) can provide breathing training content to the user terminal (300). Here, the breathing training content can include content that can implement augmented reality (AR) or virtual reality (VR). For example, the user can perform a mission for treating a specific disease by adjusting an avatar within the virtual reality (VR) content provided by the user terminal (300).

At this time, the user terminal (300) can be connected to the respiration detection device (200) and synchronized with each other.

While breathing training content is provided to the user terminal (300), the diagnostic treatment server (100) receives breathing data measured by the breathing detection device (200).

The diagnostic treatment server (100) can detect changes in breathing patterns based on the received breathing data and receive performance data on breathing training content for breathing training content being performed by the user. At this time, the performance data can include the response time according to the user's mission performance.

Next, the diagnostic treatment server (100) can extract the user's normal breathing rate or normal breathing maintenance rate from the breathing pattern, and select the next breathing training content to increase the user's breathing improvement rate based on this.

In addition, the diagnostic treatment server (100) can receive performance data of breathing training content, extract an exercise ability improvement rate based on the received performance data, and select the next breathing training content to increase the user's exercise ability improvement rate based on the data.

At the same time, the diagnostic treatment server (100) can generate a control signal for controlling the operation of the breathing detection device (200) for treating a specific disease of the user (e.g., COPD) and transmit it to the breathing detection device (200). The breathing detection device (200) can guide the user's breathing pattern based on the control signal.

Here, the breathing pattern guided by the breathing detection device (200) may include an inhalation or exhalation stronger than the reference value, an inhalation or exhalation weaker than the reference value, an inhalation or exhalation that is cut short than the reference value, and an inhalation or exhalation that is regularly or irregularly exhaled. A detailed description thereof will be provided later.

Additionally, the breathing training system may further include a separately equipped camera (400).

The camera (400) is separately linked to capture an image of a user wearing a respiration detection device (200) and transmits the captured image to a diagnosis and treatment server (100). The diagnosis and treatment server (100) detects changes in the received image to analyze the user's movement (e.g., chest or ascites) and can reflect the analyzed user's movement in the breathing training content provided to the user terminal (300).

In addition, the diagnosis treatment server (100) can receive and reference information on a pre-determined developmental disorder diagnosis from the medical institution server (500).

Additionally, the breathing evaluation data collected in the breathing training system can be collected in synchronization with the user's performance data for the improvement process and breathing training content. That is, when specific breathing evaluation data is collected, the breathing training content and mission performance situation provided to the user are synchronized and stored together, thereby enabling accurate breathing evaluation data analysis.

Below, we will describe in detail the specific configuration of the breathing training system.

Figure 2 is a block diagram illustrating components of the breathing training system of Figure 1.

Referring to FIG. 2, the diagnostic treatment server (100) of the respiratory training system of the present invention may include a respiratory pattern analysis unit (110), a status determination unit (120), a content provision unit (130), a control signal generation unit (140), and a database unit (150).

The breathing pattern analysis unit (110) analyzes the user's breathing pattern based on the breathing data received from the breathing detection device (200). In addition, the breathing pattern analysis unit (110) can extract the user's normal breathing rate or normal breathing maintenance rate from the breathing pattern.

The status judgment unit (120) detects changes in the user's status and response based on the analyzed breathing pattern and performance data of the breathing training content, and can evaluate the user's breathing status based on the degree of mission performance and response speed for the breathing training content provided to the user terminal (300).

The content provider (130) can select the breathing training content most suitable for the user based on the evaluated breathing condition and provide the breathing training content to the user terminal (300).

Specifically, the content provider (130) can change the type or level of the breathing training content based on the normal breathing rate or normal breathing maintenance rate extracted by the breathing pattern analysis unit (110).

The content provider (130) determines whether the user's breathing, evaluated based on the received performance data while the user is performing the breathing training content, is within the normal range. If the user's breathing is within the normal range, the content provider (130) can terminate the performance of the breathing training content.

The control signal generation unit (140) can generate a control signal that can control the operation of the breathing detection device (200) in conjunction with the breathing training content provided to the user terminal (300). For example, the control signal can change the size of the inhalation resistance and exhalation resistance of the breathing detection device (200).

The database unit (150) can store and manage the user's breathing status information, environmental information, medical history information, symptom information, breathing training content performance history and achievement level, etc. The content provision unit (130) described above can comprehensively analyze the user's data stored in the database unit (150) and select and provide breathing training content that best suits the user.

More specifically, the content provider (130) can provide content that enables training so that the subject can maintain stable exhalation and inhalation.

For example, the content provider (130) may provide, depending on the user's condition, 1) content that enables training for strong exhalation, thin and long exhalation, strong inhalation, and thin and long inhalation, 2) content that enables training for short, interrupted inhalation and exhalation (in the case of interrupted exhalation, it can be divided into regular/irregular, and training is possible by phoneme unit of a sentence).

Additionally, the diagnostic treatment server (100) can recognize the color, shape, or external pattern of the respiration detection device (200) when the user terminal (300) is linked with the camera (400) and use the avatar of AR, VR, or MR for movement control. In addition, the diagnostic treatment server (100) can analyze the image received from the camera (400) to extract the movement of the user's arms and legs and express it by linking it with the avatar.

The breathing training content provided by the diagnostic treatment server (100) and controlled through the breathing detection device (200) includes various breathing-related tests and training, and has difficulty levels (i.e., levels), so that when a number of missions of a specific level are completed (for example, at least three times), the user can move on to the next level of mission.

Information collected while performing breathing training content, including the user's unique information (ID), subject's medical history and environmental information, current status information (subject performance result information such as autism test, intelligence test, etc.), initial/training period/current breathing information (inhalation/exhalation time, regular/irregular breathing information, breathing time and frequency), content utilization period setting information (therapist/parent), performance results by difficulty level, failure pattern information/frequency information in case of mission failure, therapist intervention information, treatment pattern input information (gamified content curriculum creation and performance information), step-by-step performance success and symptom improvement rate information according to gamified content performance, mid-test information during the setting period, test information after the setting period ends (COPD, autism test, intelligence test, coordination test, Tourette syndrome, ADHD test, etc.). However, this is only one example, and the information collected in the present invention can be collected in various ways.

The respiration detection device (200) may include a respiration detection module (201), a respiratory resistance control module (202), a controller (203), and a battery (204).

The respiration detection module (201) is arranged inside the respiration detection device (200), and at least one pressure sensor is used to confirm the user's inhalation or exhalation. At this time, the respiration detection module (201) is configured so that the interior is sealed, and one of the sealed outer surfaces of the respiration detection module (201) may be composed of an elastic material having elasticity. In addition, the respiration detection module (201) may include a pressure sensor inside to measure the internal pressure of the respiration detection module (201), and data measured by the pressure sensor may be used as respiration data for the user's inhalation or exhalation.

The respiratory resistance control module (202) is installed inside the respiratory detection device (200) and controls the open area of the suction hole connecting the outside and inside of the respiratory detection device (200), thereby controlling the inhalation resistance or exhalation resistance of the respiratory detection device (200).

The respiratory resistance control module (202) can operate in a manner of controlling the size of the inhalation resistance when the user inhales, and controlling the size of the expiratory resistance when the user exhales. The inhalation resistance and expiratory resistance controlled by the respiratory resistance control module (202) can be automatically or manually controlled by dividing them into at least 5 stages, and preferably, can be controlled into 10 stages.

The controller (203) can adjust the inhalation resistance and expiratory resistance of the respiratory resistance control module (202) based on the respiratory data measured by the respiration detection module (201). In addition, the controller (203) can transmit the respiratory data measured by the respiration detection module (201) to the diagnosis treatment server (100) and adjust the inhalation resistance and expiratory resistance of the respiratory resistance control module (202) in real time according to the content received from the diagnosis treatment server (100).

Additionally, the breathing detection device (200) may include a charging and debugging, update terminal (wireless debugging and update possible), a rechargeable or disposable battery (204), and may further include a communication module (205) capable of wireless connection using Bluetooth and 2.4Ghz, 3G, 4G, 5G, etc.

In another embodiment, the respiration detection device (200) may further include a position sensor (206). The position sensor (206) may detect the movement of a user using the respiration detection device (200). At this time, the position sensor (206) may use a 6-axis sensor or a 9-axis sensor. For example, a 6-axis sensor may be mounted inside the respiration detection device (200) so as to detect the angular velocity and acceleration of the user's movement. The data measured by the position sensor (206) may be used to control rehabilitation and training software. As another example, the position sensor (206) is a model in which a geomagnetic sensor is added to a 6-axis sensor, and is capable of tracking the direction of movement, and by tracking the position of the respiration detection device (200) through 3D modeling, the position of the user's head may be identified.

The software linked to the diagnostic treatment server (100) is a visual software-based cognitive training software mainly implemented as a breathing-related functional game. That is, the present invention can guide a user's breathing pattern through software.

The user terminal (300) may include a display unit (310) and a sound output unit (320). The user terminal (300) may display breathing training content provided from the diagnosis and treatment server (100) on the display unit (310) and output sound through the sound output unit (320).

At this time, breathing training content can be composed of step-by-step gamification content.

For example, level 1 gamification content may include improving concentration through easy breathing, improving breathing, and training breathing for psychological stability, with animal characters actively avoiding obstacles with a happy expression and moving to the final destination.

In addition, the second stage gamification content can be implemented in the form of a game that creates a pleasant environment by blowing wind on the target animal character through uniform pressure of inhalation and exhalation, as well as training content that controls the time of inhalation and exhalation with uniform pressure.

Additionally, the 3-stage gamification content can be composed of gamification content that requires high pressure of a balloon column.

However, this is only one example of breathing training content, and the breathing training content of the present invention is not limited to this.

In summary, the respiratory training system according to the present invention can provide users with respiratory training content for the treatment of a specific disease (e.g., COPD) and thereby integrate respiratory rehabilitation treatment with IT, thereby increasing users' concentration on respiratory rehabilitation treatment and compliance with rehabilitation treatment training.

In addition, the present invention can naturally guide the user's breathing pattern by controlling the resistance to inhalation and exhalation of the breathing detection device (200) while the user is performing content, thereby improving the user's breathing.

Below, several embodiments of a breathing detection device (200) linked to a breathing training system will be specifically described.

FIGS. 3 to 8 are drawings for explaining a respiration detection device according to some embodiments of the present invention. Here, FIG. 3 shows a perspective view of a respiration detection device according to an embodiment of the present invention, FIG. 4 shows a plan view and a front view of a respiration detection device according to an embodiment of the present invention, and FIG. 5 shows a side view of a respiration detection device according to an embodiment of the present invention. FIG. 6 is a drawing showing a coupling relationship between a mask body and a mask cover of a respiration detection device according to an embodiment of the present invention. FIG. 7 is a schematic diagram for explaining the internal configuration of a respiration detection device according to an embodiment of the present invention. FIG. 8 is a drawing showing a respiration detection module of FIG. 7.

First, referring to FIGS. 3 to 5, a respiration detection device (200) according to some embodiments of the present invention includes a mask portion (210) and a strap portion (220).

The mask portion (210) may be configured to cover the nose and mouth area of the user's face. The strap portion (220) may be formed in a string shape whose length can be adjusted, and may be configured with one or more straps to secure the mask portion (210) to the user's face.

Specifically, the mask portion (210) may have a housing composed of a mask cover (211), a mask body (213), and a sealing portion (215).

The mask body (213) may be formed to have an opening in the center and may be formed to have a structure with a space provided on the inside to cover the nose and mouth of the user's face. A mask cover (211) may be coupled to the opening formed in the center of the mask body (213), and an intake hole (212) may be formed between the coupling structure of the mask body (213) and the mask cover (211) to enable air circulation between the breathing detection device (200) and the outside.

At this time, the suction hole (212) may be formed so as to be arranged along the outer surface of the mask cover (211) and may form one or more flow paths. In addition, it goes without saying that the flow path structure of the suction hole (212) may be implemented in various ways.

Although not clearly shown in the drawing, the suction hole (212) may be formed to be connected to a respiratory resistance control module (202) to be described below, and the size of the cross-sectional area of the suction hole (212) may be changed by the respiratory detection module (201). Through this, the respiratory detection module (201) may control the stages of inhalation resistance and expiratory resistance involved in the respiratory difficulty of the content provided to the user. A detailed description thereof will be described later with reference to FIG. 7.

The sealing portion (215) can perform a function of preventing a gap between the mask body (213) and the user's face. The sealing portion (215) can be made of an elastic material. The sealing portion (215) can form a sealed space between the user's face and the respiration detection device (200) by changing its shape in response to the shape of the user's face or the flexibility of the skin.

The strap part (220) adheres the mask part (210) to the user's face, preventing a gap from forming through which outside air enters the respiration detection device (200).

The strap part (220) may be composed of one or more strings. At this time, the strap part (220) may be composed of an elastic material. Both ends of the strap part (220) may be coupled to both sides of the mask part (210). In addition, the strap part (220) may be formed to wrap around the user's head and may function to press the mask part (210) toward the user's face. That is, the strap part (220) may press the mask part (210) toward the user's face to increase the sealing efficiency of the respiration detection device (200). Furthermore, the strap part (220) may function to prevent the position of the respiration detection device (200) from changing due to the user's physical activity required in the breathing training content.

For example, the strap part (220) is composed of two straps, a first strap part (221) and a second strap part (223), so that the breathing detection device (200) can be stably placed on the user's face and the internal space can be sealed.

As another example, the strap portion (220) may be configured to additionally include a third strap portion (225), wherein the third strap portion (225) may be connected to the second strap portion (223) to function to support the back of the user's head.

However, the strap portion (220) disclosed in the above-described description and drawings are only some examples of the present invention, and the present invention is not limited thereto.

Referring to FIGS. 6 and 7, the mask cover (211) is coupled with an opening provided in the mask body (213) and can be formed into a detachable structure.

At this time, a respiration detection module (201) and a respiration resistance control module (202) may be placed on the inner side of the mask cover (211). For example, the respiration detection module (201) and the respiration resistance control module (202) may be installed in a form fixed to the inner side of the mask cover (211).

Specifically, referring to FIG. 8, the breathing detection module (201) is installed on the inside of the mask cover (211) and can measure breathing data for the user's inhalation or exhalation. The breathing detection module (201) can include a pressure sensor (10) inside and can form a sealed space that does not allow air to pass through to the outside.

At this time, one side of the respiration detection module (201) facing the face of the user wearing the respiration detection device (200) may be composed of an elastic material (RS), and the remaining side may be composed of a material different from the first side. That is, a part of the outer surface of the respiration detection module (201) may be formed of an elastic material, and the remaining part may be composed of a non-elastic material.

For example, if the respiration detection module (201) is configured as a hexahedron, one side facing the user's face may be configured with an elastic material (RS) (e.g., rubber material), and the other remaining sides (SS1, SS2, SS3, SS4) may be configured with an inelastic material. However, this is only an example of the present invention, and the present invention is not limited thereto.

During the operation of the respiration detection device (200), the elastic material (RS) changes position according to the change in pressure in the internal space of the respiration detection device (200) (i.e., the internal space formed between the user's face and the respiration detection device (200).

For example, during inhalation, since the pressure in the internal space of the respiration detection device (200) is lower than the internal pressure of the respiration detection module (201), the elastic material (RS) can move in a direction that increases the size of the internal space of the respiration detection module (201). Conversely, during exhalation, since the pressure in the internal space of the respiration detection device (200) is higher than the internal pressure of the respiration detection module (201), the elastic material (RS) can move in a direction that decreases the size of the internal space of the respiration detection module (201).

In this way, when the position of the elastic material (RS) changes according to the user's breathing, the change in position of the elastic material (RS) changes, and accordingly, the internal pressure of the breathing detection module (201) may also change.

At this time, the pressure sensor (10) located inside the respiration detection module (201) can measure the change in internal pressure of the respiration detection module (201) and generate respiration data based on this. Here, the respiration data can be measured to have the same pattern and size as the change in internal pressure of the respiration detection device (200) for the user's inhalation or exhalation.

Respiration data measured by the pressure sensor (10) may be formed on the other surface (SS4) of the respiration detection module (201) and transmitted to another component (e.g., a controller (203) or a communication module (205)) through a port (201c) electrically connected to the pressure sensor (10). For example, respiration data measured by the pressure sensor (10) may be transmitted to a diagnosis treatment server (100) or a user terminal (300) through the communication module (205).

The port (201c) is formed on the outer side of the other side (SS4) of the respiration detection module (201), and a pressure sensor (10) can be installed on the inner side of the other side (SS4) facing the port (201c). Accordingly, the pressure sensor (10) is electrically connected to the port (201c), and can receive power from the outside through the port (201c) or transmit and receive measured data (i.e., respiration data).

Again, referring to FIGS. 6 and 7, the respiratory resistance control module (202) is installed on the inside of the mask cover (211) and performs the function of controlling the inhalation resistance or exhalation resistance of the respiration detection device (200) by controlling the open area of the suction hole (212).

Specifically, the respiratory resistance control module (202) controls the size of the path that allows the user to breathe by communicating with the outside. The respiratory resistance control module (202) can allow air required for the user's inhalation to be introduced from the outside of the mask part (210) through the inhalation hole (212), and can allow air generated during exhalation to be discharged to the outside of the mask part (210) through the inhalation hole (212). That is, the respiratory resistance control module (202) provides a path for the air required for the user's breathing. However, the position of the inhalation hole (212) illustrated in FIG. 7 is expressed arbitrarily, and the embodiment of the present invention does not correspond thereto.

The controller (203) can control the operation of the aforementioned respiratory resistance control module (202). The controller (203) receives a control signal generated from the diagnosis treatment server (100) through the communication module (205), and can adjust the size of the inhalation resistance or exhalation resistance of the respiratory resistance control module (202) based on the received control signal. As another example, the control signal can be transmitted through the user terminal (300) or received directly from the diagnosis treatment server (100).

In addition, the controller (203) is paired with the user terminal (300) and can control the operation of the breathing detection device (200) in synchronization with the breathing training content performed on the user terminal (300).

The controller (203) may be composed of a conventional PCB. The controller (203) may be electrically connected to the respiration detection module (201) and the respiration resistance control module (202). The controller (203) may convert respiration data detected by the respiration detection module (201) into interface signals required by various software and transmit them to an external device.

The energy required for each component of the breathing detection device (200) can be supplied through a separately provided battery (204).

Additionally, the respiration detection device (200) may further include a position sensor (206). The position sensor (206) may be configured as a typical gyro sensor. However, the present invention is not limited thereto, and the position sensor (206) may utilize various modules capable of measuring the user's position information. The position sensor (206) may be configured to be connected to the controller (203) like the respiration detection module (201). In addition, the position sensor (206) may be optionally provided in the respiration detection device (200) according to an embodiment of the present invention.

The breathing detection device (200) can detect the movement of the user's face or head by the position sensor (206), and the controller (203) can provide the movement signal of the breathing detection device (200) detected by the position sensor (206) to various devices through the communication module (205).

Furthermore, the position sensor (206) can measure the position of the user's face or head, and can determine the state of breathing, etc. according to the head position, thereby providing the user's state information to software that examines or rehabilitates the user's health condition, etc.

Additionally, the communication module (205) can exchange data with the diagnostic treatment server (100) and the user terminal (300) using wireless Internet technology and short-range communication technology.

Here, the wireless Internet technology may include at least one of, for example, Wireless LAN (WLAN), Digital Living Network Alliance (DMNA), Wireless Broadband (Wibro), World Interoperability for Microwave Access (Wimax), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), Wireless Mobile Broadband Service (WMBS), and 5G NR (New Radio) technologies. However, the present embodiment is not limited thereto.

The short-range communication technology may include at least one of, for example, Bluetooth, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), Ultra-Wideband (UWB), ZigBee, Near Field Communication (NFC), Ultra Sound Communication (USC), Visible Light Communication (VLC), Wi-Fi, Wi-Fi Direct, and 5G NR (New Radio). However, the present embodiment is not limited thereto.

The communication module (205) communicating through a network may comply with technical standards and standard communication methods for mobile communication. For example, the standard communication method may include at least one of GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), CDMA2000 (Code Division Multi Access 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), LTE (Long Term Evolution), LTEA (Long Term Evolution-Advanced), and 5G NR (New Radio). However, the present embodiment is not limited thereto.

Below, we will specifically look at rehabilitation training methods according to some embodiments of the present invention.

Figure 9 is a flowchart illustrating an example of a rehabilitation training method according to an embodiment of the present invention.

Referring to Fig. 9, in the rehabilitation training method of the present invention, first, the user terminal (300) and the respiration detection device (200) perform pairing with each other (S110). At this time, the respiration detection device (200) and the user terminal (300) can be connected to each other wired or wirelessly to exchange data.

Next, the diagnostic treatment server (100) provides breathing training content to the user terminal (300) based on the pre-entered user data (S121). At this time, the first breathing training content provided to the user terminal (300) can operate in conjunction with the breathing detection device (200).

Next, the user terminal (300) transmits performance data about the user to the diagnostic treatment server (100) while the user performs the first breathing training content (S123). Here, the performance data may include the user's input pattern, reaction time, mission success rate, etc.

At the same time, the breathing detection device (200) measures the user's breathing data while the user performs the first breathing training content (S125). The measured breathing data is transmitted to the diagnosis treatment server (100) (S127).

Next, the diagnostic treatment server (100) calculates an improvement rate for each evaluation item of the user's first breathing training content based on the received performance data and breathing data.

Specifically, the diagnostic treatment server (100) calculates a normal breathing rate or normal breathing maintenance rate based on breathing data, and calculates an exercise ability improvement rate based on performance data (S131).

Next, the diagnostic treatment server (100) changes the type or level of the first breathing training content based on the generated data (S133).

In addition, the diagnostic treatment server (100) changes the respiratory resistance of the respiration detection device (200) based on the generated data (S135). Specifically, the diagnostic treatment server (100) generates a control signal that adjusts the inhalation resistance or the expiratory resistance of the respiration detection device (200).

Next, the diagnostic treatment server (100) provides the changed second breathing training content to the user terminal (300) (S141).

At the same time, the diagnostic treatment server (100) transmits the generated control signal to the respiration detection device (200) (S143). The respiration detection device (200) adjusts the inhalation resistance or exhalation resistance based on the received control signal.

Next, steps S123 to S143 described above are performed repeatedly.

Through this, the breathing training system of the present invention can select optimal breathing training content and breathing resistance that can gradually improve the user's breathing, and provide the user with the corresponding breathing training content.

Below, the rehabilitation training method of the present invention from another perspective will be described.

Figure 10 is a flowchart illustrating another example of a rehabilitation training method according to an embodiment of the present invention.

Referring to Fig. 10, according to the rehabilitation training method according to the embodiment of the present invention, the diagnostic treatment server (100) provides breathing training content to the user terminal (300) (S210). As described above, the breathing detection device (200) is paired with the user terminal (300) and can operate in synchronization with the breathing training content performed on the user terminal (300). At this time, the breathing detection device (200) adjusts the inhalation resistance or the expiratory resistance according to the breathing training content, thereby guiding the user's breathing pattern.

Next, while the user performs the breathing training content, the diagnostic treatment server (100) receives breathing data and performance data for the content from the breathing detection device (200) and the user terminal (300) (S220). Here, the breathing data includes data for the user's inhalation or exhalation, and the performance data may include the user's input pattern, reaction time, mission success rate, etc.

Next, the diagnostic treatment server (100) extracts a breathing pattern based on the received breathing data (S230). Here, the breathing pattern may include the user's normal breathing rate or normal breathing maintenance rate.

Next, the diagnostic treatment server (100) determines whether a respiratory singularity is found based on the extracted breathing pattern (S240).

If a breathing singularity is found in the breathing pattern, the diagnostic treatment server (100) generates a control signal to adjust the size of the inspiratory resistance or expiratory resistance. The generated control signal is transmitted to the breathing detection device (200) and can be used to adjust the size of the inspiratory resistance or expiratory resistance (S245).

Meanwhile, if no breathing singularity is found in the breathing pattern, the diagnostic treatment server (100) extracts the exercise ability improvement rate and improvement singularity based on the received performance data (S250).

Next, the diagnosis treatment server (100) performs a respiratory diagnosis evaluation of the user based on the extracted data (S260). At this time, the diagnosis treatment server (100) can perform an evaluation for diagnosis and improvement of a specific disease (e.g., COPD) of the user based on the extracted data.

Next, the diagnostic treatment server (100) determines whether the evaluated user's breathing is within a normal range (S270).

If the user's breathing is within the normal range, the diagnostic treatment server (100) terminates the execution of the breathing training content.

On the other hand, if the user's breathing is not within the normal range, the diagnostic treatment server (100) changes the type or level of the breathing training content provided (S275). In addition, depending on the type or level of the changed breathing training content, the size of the inhalation resistance or exhalation resistance of the breathing detection device (200) can also be adjusted.

Through this, the present invention can naturally guide the user's breathing pattern and improve the user's breathing by controlling the resistance to inhalation and exhalation of the breathing detection device while the user is performing content.

Below, the overall operation sequence of the breathing training system of the present invention will be described.

FIG. 11 is a flowchart illustrating another example of a rehabilitation training method according to an embodiment of the present invention.

Referring to Fig. 11, in the breathing training system of the present invention, the user inputs the personal information, medical history information, environmental information, symptom information, and various test information (disease information, physical ability, intelligence, developmental disability, personality test, etc.) of the test subject into the diagnosis and treatment server (100) (S310). At this time, the user can input his/her own data, but if the user cannot input it himself/herself, an expert or guardian can input the necessary information on his/her behalf.

Here, personal information may include the user's gender, age, or family history, medical history information may include pathological symptoms or diagnosis codes diagnosed by the user at a specialized institution, and test information may include test results for any one of COPD, autism, breathing, coordination, Tourette syndrome, and ADHD.

Next, the diagnostic treatment server (100) provides input information confirmation, recommended utilization content, and expected result reporting to the user or guardian through the user terminal (300) (S320). That is, the diagnostic treatment server (100) can select the breathing training content most suitable for the user based on the received user data.

Next, the user can set a recommended rehabilitation/improvement process (recommended content can be set or changed) or set a reminder for the performance process through the user terminal (300) (S330).

In addition, the user terminal (300) collects information about the user and performs activities to improve breathing by using breathing training content (e.g., gamified content) linked to the breathing detection device (200) (S340).

At this time, the user terminal (300) can collect performance information of the breathing training content, perform a breathing test for each step based on the collected information, and provide the results thereof to the diagnosis and treatment server (100). In addition, the user terminal (300) can also use the breathing data collected from the breathing detection device (200) and transmit the collected breathing data to the diagnosis and treatment server (100).

Meanwhile, the diagnosis treatment server (100) can perform inspection information, performance information, symptom improvement rate, derivation of a process requiring modification, and expected improvement result reporting based on data collected from the user terminal (300) and provide the results to the user terminal (300) (S350). In addition, the diagnosis treatment server (100) can predict or derive problems that may occur in the future and provide the results to the user terminal (300).

Next, the user terminal (300) can modify and set the process, input utilization/performance information of breathing training content, and end the session when the symptom target rate is reached (S360).

That is, the present invention can minimize the user's burden and resistance to respiratory rehabilitation treatment by evaluating the user's rate of improvement in exercise ability while the user is performing content and selecting and providing breathing training content to increase the user's rate of improvement.

Figure 12 is a flowchart illustrating a process of providing a training process suitable for a subject in a breathing training system according to an embodiment of the present invention.

Referring to FIG. 12, the breathing training system according to some embodiments of the present invention can receive member type and personal information at the member registration stage.

Here, the membership types can be categorized into users, guardians, professional therapists, and rehabilitation specialist institutions. In addition, personal information entered during membership registration may include gender, age-months, family history, environment, pathological symptoms, existing symptom information, and affiliation information (rehabilitation specialist institution/hospital/small and medium-sized enterprise).

First, if the member type is a user, the diagnostic treatment server (100) performs an initial respiratory examination and an initial cognitive function examination (S411).

Next, the user performs breathing improvement training using breathing training content recommended by the diagnosis treatment server (100) (S413).

Next, the diagnostic treatment server (100) performs a test to determine whether the user's breathing has improved during the process of performing breathing training content (S415).

Next, the diagnostic treatment server (100) determines whether the user's breathing has improved (S417).

Next, if the user's breathing has improved, the diagnostic treatment server (100) terminates the breathing improvement training and confirms and saves the final record (S419, S439).

On the other hand, if the user's breathing has improved, the diagnostic treatment server (100) modifies the process performed by the user through feedback and also modifies the reminder accordingly (S425).

Meanwhile, if the member type is a guardian (or therapist or the user himself/herself), the guardian can set up the process and reminders for rehabilitation treatment provided to the user (S421).

On the other hand, if the member type is a rehabilitation specialist institution, the diagnosis treatment server (100) checks the examination data entered by the rehabilitation specialist institution (S431) and checks and modifies the recommendation process for improving breathing (S433).

Next, the guardian can set a recommended rehabilitation treatment process received from a rehabilitation specialist institution and set a reminder for the process (S421). At this time, the diagnosis treatment server (100) can provide breathing training content corresponding to the set process to the user terminal (300).

Next, the diagnostic treatment server (100) can create an improvement record book based on the performance history of the user's breathing training content (S423) and manage the improvement record book so that the improvement record book can be viewed by a guardian or a rehabilitation specialist institution (S435).

Next, the diagnostic treatment server (100) can modify the set process or automatically modify the reminder depending on whether the user's breathing has improved, and provide the user with breathing training content according to the modified process (S425). At this time, the modification of the process can be performed by a guardian or a rehabilitation specialist (S437).

Through this process, the respiratory training system can share the user's respiratory rehabilitation treatment process with guardians and rehabilitation specialists, and can modify the respiratory rehabilitation treatment process provided to the user by reflecting various feedback so as to improve the user's breathing.

Through this, the breathing training system can provide services such as recommending the most suitable program for the user and providing reminders, and can maximize the convenience of the user's use of rehabilitation treatment services.

It should be understood that the above-described embodiments are illustrative in all respects and not restrictive, and the scope of the present invention will be indicated by the claims set forth later rather than by the detailed description set forth above. In addition, the meaning and scope of the claims set forth later, as well as all changes and modifications derived from the equivalent concept thereof, should be interpreted as being included in the scope of the present invention.

100 : Diagnosis and Treatment Server
200 : Respiration detection device
300 : User terminal

Claims (10)

In a rehabilitation training method performed on a diagnostic treatment server linked to a user terminal and a breathing detection device,
A step of providing breathing training content to the user terminal;
A step of receiving breathing data for the user's inhalation or exhalation measured by the breathing detection device while the user performs the breathing training content;
A step of receiving performance data for the breathing training content from the user terminal;
A step of calculating a user's breathing pattern based on the above breathing data and determining whether the calculated breathing pattern is within a preset standard range; and
Including a step of adjusting the inhalation resistance or exhalation resistance of the breathing detection device to control the breathing of the user when the breathing pattern is out of the preset reference range,
The above breathing data is measured by a breathing detection module installed inside the breathing detection device,
The above breathing detection module,
Including one side and the other side forming an internal space as a sealed structure and a pressure sensor arranged in the internal space,
The above surface is composed of an elastic material,
The above pressure sensor,
When the position of the elastic material changes according to the pressure change in the internal space of the respiration detection device, and the internal pressure of the respiration detection module changes according to the change in the position of the elastic material, the internal pressure change of the respiration detection module is measured, and the respiration data is generated based on the measured internal pressure change of the respiration detection module.
Rehabilitation training methods.
In the first paragraph,
The step of controlling the above inspiratory or expiratory resistance is:
From the above breathing pattern, the normal breathing rate or normal breathing maintenance rate is calculated,
Based on the above performance data, the user's cognitive ability improvement rate is calculated,
The type or level of the breathing training content is changed based on the normal breathing rate or the normal breathing maintenance rate and the cognitive ability improvement rate.
A rehabilitation training method including adjusting the inspiratory resistance or expiratory resistance of the breathing detection device based on the type or level of the changed breathing training content.
In the first paragraph,
A step of generating a control signal for adjusting the inhalation resistance or the exhalation resistance of the breathing detection device according to the type or level of the breathing training content,
A rehabilitation training method further comprising a step of controlling the inspiratory resistance or expiratory resistance of the respiration detection device using the control signal.
In the first paragraph,
The above breathing training content includes each mission that induces different breathing patterns.
A rehabilitation training method in which the size of the inspiratory resistance or the expiratory resistance of the breathing detection device is adjusted according to the above mission.
In the fourth paragraph,
The breathing pattern induced in the above mission is a rehabilitation training method that includes an inhalation or exhalation that is stronger than the reference value, an inhalation or exhalation that is weaker than the reference value, an inhalation or exhalation that is shorter than the reference value, and an inhalation or exhalation that is regular or irregular.
In the first paragraph,
A rehabilitation training method in which the above inspiratory resistance or expiratory resistance is divided into at least two resistance stages.
In the first paragraph,
The above breathing training content includes performing missions based on manipulation of the avatar,
A rehabilitation training method in which manipulation of the above avatar is performed using motion data measured from the breathing detection device or the motion sensor provided in the user terminal.
In Article 7,
The above breathing detection device comprises a specific pattern displayed on the surface,
A step of recognizing the specific pattern on the respiration detection device by analyzing an image captured through a separate camera linked to the above diagnostic treatment server,
A rehabilitation training method further comprising the step of extracting the movement of the specific pattern and performing manipulation on the avatar based on the extracted movement of the specific pattern.
In a respiration detection device that operates in conjunction with a diagnostic treatment server,
A mask body having an opening in the center;
A mask cover coupled to the opening of the mask body;
A sealing portion connected to one side of the mask body and covering a part of the user's face;
A suction hole formed between the mask body and the mask cover;
A breathing resistance control module installed on the inside of the mask cover to control the inhalation resistance or exhalation resistance of the breathing detection device by controlling the open area of the suction hole; and
Including a breathing detection module installed on the inside of the above mask cover to measure breathing data for the user's inhalation or exhalation,
The above breathing detection module,
Including one side and the other side forming an internal space as a sealed structure and a pressure sensor arranged in the internal space,
The above surface is composed of an elastic material,
The above pressure sensor,
When the position of the elastic material changes according to the pressure change in the internal space of the respiration detection device, and the internal pressure of the respiration detection module changes according to the change in the position of the elastic material, the internal pressure change of the respiration detection module is measured, and the respiration data is generated based on the measured internal pressure change of the respiration detection module.
Breath detection device.
In Article 9,
The above-mentioned side is a side facing the face of a user wearing the above-mentioned breathing detection device,
The above breathing detection module,
A respiration detection device including a port connected to the pressure sensor and capable of transmitting and receiving data or power.

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