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KR-20260067444-A - Individually tailored muscle pain prevention system and how it works

KR20260067444AKR 20260067444 AKR20260067444 AKR 20260067444AKR-20260067444-A

Abstract

A system for providing an individually customized muscle pain prevention method according to one embodiment of the present invention is characterized by comprising: a motion sensor unit that collects motion data from a user; a data processing unit that inputs the collected motion data into an artificial intelligence muscle motion model to classify it into user-specific muscle motion data and detects excessive movement of a specific muscle; a pain prediction unit that predicts pain caused by excessive movement of the muscle based on the user's muscle strength information; and an exercise prescription unit that generates a user-customized exercise prescription based on the user's pain prediction information and provides it to a user terminal.

Inventors

  • 김남철

Assignees

  • 주식회사 삼육오엠씨(365mc)

Dates

Publication Date
20260513
Application Date
20241104

Claims (8)

  1. Motion sensor unit for collecting motion data from a user; A data processing unit that inputs collected motion data into an artificial intelligence muscle motion model to classify it into user-specific muscle motion data and detects excessive movement of specific muscles; A pain prediction unit that predicts pain resulting from excessive muscle movement based on user muscle strength information; and Exercise prescription unit that generates a user-customized exercise prescription based on the user's pain prediction information and provides it to the user terminal A system for providing an individually customized muscle pain prevention method characterized by including
  2. In Article 1, The above motion sensor unit is mounted on a specific part of the user's body to detect the user's movements in real time and measure motion data, and is characterized by including motion sensors such as wearable sensors, IMU (Inertial Measurement Unit) sensors, camera-based motion sensors, Lidar sensors, mechanical sensors, and magnetic field sensors, thereby providing a system for providing an individually customized method for preventing muscle pain.
  3. In claim 1, the data processing unit A system for providing personalized muscle pain prevention methods, characterized by comparing the collected motion data with a normal range defined in a muscle motion model to determine whether the user's movement is abnormal or excessively using a specific muscle, and extracting statistical data related to detailed information on abnormal movements during this process.
  4. In claim 1, the pain prediction unit User muscle strength data module composed of a muscle strength test system including equipment and test procedures for evaluating user muscle strength; A pain prediction module that predicts the likelihood of pain occurrence based on user muscle strength information and excessive motion data; and A risk assessment module that generates warnings on which movements the user should avoid based on excessive motion data and the predicted likelihood of pain. A system for providing an individually customized muscle pain prevention method characterized by including
  5. In claim 4, the pain prediction module is A personalized muscle pain prevention system characterized by performing a machine learning algorithm to learn patterns of pain occurrence and combining this with the user's muscle strength information to calculate the probability that excessive use of a specific muscle will lead to pain.
  6. In claim 1, the exercise prescription unit User profile module managing the user's personal physical information and exercise history; An exercise program generation module that generates a customized exercise program based on information provided by the user profile module and pain occurrence risk data and excessive motion information provided by the pain prediction unit; and A personalized muscle pain prevention system characterized by including a feedback module that continuously improves exercise programs by reflecting user feedback.
  7. In claim 1, the exercise prescription unit A system for providing personalized muscle pain prevention methods characterized by managing pain caused by muscle overuse and poor posture due to specific occupational factors, and analyzing repetitive movement history to provide basic data for appropriate exercise prescriptions and customized exercise programs.
  8. A step of collecting real-time motion data of a user using a motion sensor unit; A step of inputting collected motion data into an artificial intelligence muscle motion model to classify it into user-specific muscle motion data and detecting excessive movement of specific muscles; A step of predicting the possibility of pain occurring due to excessive muscle movement based on the detected excessive movement data and the user's muscle strength information; and A step of generating a personalized exercise prescription based on predicted pain information and providing it to a user terminal. A method of operation of an individually customized muscle pain prevention method providing system characterized by including

Description

Individually tailored muscle pain prevention system and how it works The present invention relates to a system for providing an individually customized method for preventing muscle pain and a method of operating the same. More specifically, it relates to a method for providing a personalized solution that can predict muscle-derived pain at a pre-onset stage and eliminate the root cause of the onset in advance. Musculoskeletal pain is rapidly increasing due to population aging and occupies a significant position as a national health issue. According to statistics, the prevalence of musculoskeletal disorders is rising with the increase in the elderly population, placing a heavy burden on the national health insurance finances. Furthermore, as it acts as a major cause of private health insurance and other medical expenditures, it is contributing to an increase in overall national healthcare costs. Musculoskeletal pain can arise from various causes, including degenerative diseases, trauma, and abnormal posture and exercise habits. These conditions are not merely limited to pain; they severely impact a patient's daily life and can ultimately lead to reduced productivity and a decline in quality of life. Current treatment approaches focus primarily on post-onset treatment, which is inefficient in the long run. Post-treatment can worsen the patient's condition, and if repeated treatment is required, medical costs also continue to increase. In contrast, a preventive approach is more effective in eliminating or minimizing the causes of musculoskeletal pain in advance, thereby increasing treatment success rates, reducing medical costs, and improving the patient's quality of life. Therefore, the need for a preventive approach to musculoskeletal pain is increasingly emphasized, and this invention aims to present an innovative method for such a preventive approach. Through this, the invention seeks to provide a solution that prevents the occurrence of musculoskeletal pain in advance and ultimately contributes to the promotion of public health. FIG. 1 is a diagram illustrating the configuration of a system for providing an individually customized muscle pain prevention method according to one embodiment of the present invention. Figure 2 is a configuration diagram explaining the motion sensor unit of Figure 1. Figure 3 is a configuration diagram illustrating the data processing unit of Figure 1. Figure 4 is a configuration diagram explaining the pain prediction unit of Figure 1. Figure 5 is a diagram illustrating the exercise prescription section of Figure 1. FIG. 6 is a flowchart illustrating the operation flowchart of a system for providing an individually customized muscle pain prevention method according to the present invention. The description of the present invention is merely an example for structural or functional explanation, and therefore the scope of the present invention should not be interpreted as being limited by the examples described in the text. That is, since the examples are subject to various modifications and may take various forms, the scope of the present invention should be understood to include equivalents capable of realizing the technical concept. Furthermore, the objectives or effects presented in the present invention do not imply that a specific example must include all of them or only such effects; therefore, the scope of the present invention should not be understood as being limited by them. Meanwhile, the meaning of the terms described in this application should be understood as follows. Terms such as "first," "second," etc., are intended to distinguish one component from another, and the scope of rights shall not be limited by these terms. For example, the first component may be named the second component, and similarly, the second component may be named the first component. When it is stated that one component is "connected" to another component, it should be understood that it may be directly connected to that other component, or that there may be other components in between. Conversely, when it is stated that one component is "directly connected" to another component, it should be understood that there are no other components in between. Meanwhile, other expressions describing the relationships between components, such as "between" and "exactly between," or "adjacent to" and "directly adjacent to," should be interpreted in the same way. A singular expression should be understood to include a plural expression unless the context clearly indicates otherwise, and terms such as "include" or "have" are intended to specify the existence of the implemented features, numbers, steps, actions, components, parts, or combinations thereof, and should be understood not to preclude the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. In each step, identifiers (e.g., a, b, c, etc.) are used for convenience of explanation and