CN-121075564-B - Bone health dynamic tracking and intervention method and system based on movement and nutrition

CN121075564BCN 121075564 BCN121075564 BCN 121075564BCN-121075564-B

Abstract

The embodiment of the invention discloses a bone health dynamic tracking and intervention method and system based on sports and nutrition. The method comprises the steps of collecting gait information, bone metabolite information and bone state measurement parameters of a target user by adopting wearable equipment, processing the gait information, the bone metabolite information and the bone state measurement parameters based on an artificial intelligence AI model to obtain bone state prediction parameters, evaluating bone health states of the target user according to the bone state prediction parameters and health data of the target user to obtain health state prediction parameters, wherein the health state prediction parameters comprise bone health state instant evaluation indexes and bone health dynamic trend data, and generating a target motion plan and a diet plan according to the health state prediction parameters, wherein the target motion plan is used for guiding motion of the target user, and the diet plan is used for guiding diet of the target user.

Inventors

FU CHAO
HAN MIN
LI YUXIN
LI SIQI

Assignees

北京健康有益科技有限公司

Dates

Publication Date: 20260508
Application Date: 20250909

Claims (10)

1. A dynamic bone health tracking and intervention method based on sports and nutrition, which is characterized by comprising the following steps of; Acquiring gait information, bone metabolite information and bone state measurement parameters of a target user by adopting wearable equipment, and processing the gait information, the bone metabolite information and the bone state measurement parameters based on an artificial intelligence AI model to obtain bone state prediction parameters; The bone state prediction parameters comprise bone state instant evaluation indexes and bone health dynamic trend data, wherein the muscle-bone ratio indexes are used for reflecting the cooperative mechanical relation between muscles and bones, the joint stability coefficients are regularity and symmetry of a reaction joint motion track obtained by combining gait information and joint angle data so as to quantify the impact resistance of joints in motion, the dynamic shock absorber is used for measuring the impact resistance of the bones in the motion process by combining data of a pressure sensor and acceleration set information, the buffer efficiency of the bones on the impact force in the motion process is determined based on the corrected bone function redundancy, the health state prediction parameters comprise bone health state instant evaluation indexes and bone health dynamic trend data, the joint stability coefficients are the regularity and symmetry of the reaction joint motion track obtained by combining the gait information and the joint angle data, and the dynamic shock absorber is used for measuring the impact resistance exceeding the physiological impact resistance of the bones in the motion cycle beyond the dynamic shock absorption coefficient dynamic impact protection curve by combining the dynamic shock absorber data and the acceleration set information; outputting prompt information when determining that the target user has a falling risk according to the bone health state instant evaluation index and the baseline health data of the target user, wherein the prompt information comprises a falling risk value, falling-causing movement and falling risk resisting measures; The target planning comprises a movement planning and a diet planning, wherein the target movement planning is used for guiding movement of the target user, the diet planning is used for guiding diet of the target user, the target planning comprises a long-term planning for resisting long-term bone health risks indicated by the bone health dynamic trend data and a short-term planning which is consistent with the long-term planning and avoids the falling risk corresponding to the instant evaluation index.
2. The method of claim 1, wherein the employing a wearable device to collect gait information of the target user and to collect bone metabolite information comprises at least one of: collecting the gait information by using a foot pressure sensing shoe or an intelligent foot ring; measuring bone structure indexes by using a household bracelet of an ultrasonic bone densitometer; Measuring the muscle condition by using bioelectrical impedance to obtain skeletal muscle parameters; the bone metabolite information is acquired using a bandage sensor, wherein the bandage sensor is also operable to acquire muscle movement information at the location, the muscle movement information also being used for the prediction of the bone state prediction parameter.
3. The method according to claim 1 or 2, wherein the generating a targeting plan from the state of health prediction parameters comprises: Determining a planned target movement arrangement according to the health state prediction parameters, wherein the target movement arrangement at least comprises a target movement plan of a target movement type and/or movement intensity; A targeted diet plan is generated from the targeted exercise schedule and the health state prediction parameters.
4. A method according to claim 3, characterized in that the method comprises: And correcting the target exercise arrangement and the target diet plan according to the actual exercise condition and the actual diet condition of the target user.
5. The method of claim 2, wherein the acquiring the gait information using the foot pressure sensing shoe or intelligent foot ring comprises sensing pressure distribution and stress time of each region of the sole of the foot using an in-shoe foot pressure sensing pressure sensor array to calculate a step size, a step frequency, a gait cycle, and/or analyzing swing amplitude and rhythm transformation when the target user walks by exchanging acceleration and angular velocity for capturing ankle movement only by providing an accelerometer and a gyroscope; and/or the number of the groups of groups, The bioelectrical impedance is used for measuring the muscle condition to obtain skeletal muscle parameters, which comprises the steps of injecting weak safe current into a human body through a body surface electrode, measuring impedance data of the current in the body, and separating muscle content, muscle mass and skeletal muscle ratio from the impedance data; and/or the number of the groups of groups, The method comprises the steps of collecting bone metabolite information by using a bandage type sensor, wherein the bandage type sensor is provided with a microfluidic chip and a biological sensor to adsorb sweat on the surface of skin and perform biochemical analysis on trace calcium and phosphorus metabolites and the like in the sweat to obtain the bone metabolite information; the bone structure index, the mechanical load index and the falling risk index are commonly used for obtaining the fracture risk index of the target user and the fracture change trend taking a preset period as a time unit.
6. The method of claim 1, wherein determining the fracture risk index of the target user and the trend of fracture change in time units of a preset period based on the corrected skeletal functional redundancy comprises: analyzing the lunar data fluctuation by using the gating circulation unit network of the AI model, and capturing the instant influence of the acute factors on the fracture risk; Processing quarter data through a conversion model weighted by the AI model attention mechanism, and identifying the accumulated effect of chronic factors on fracture risk; Outputting the fracture risk index based on the immediate effect and the cumulative effect.
7. The method according to claim 1 or 2, characterized in that the method further comprises: issuing the targeting exercise program and the diet program in a community; Establishing or participating in a community according to the condition of the target user; Planning a challenging activity associated with the community based on the targeting exercise plan and diet; guiding and supervising the challenging activity participation situation of the target user through a virtual reality VR and/or an augmented reality AR; and tracking and reporting the challenge ranking of the target user according to the participation condition.
8. The bone health dynamic tracking and intervention system based on movement and nutrition is characterized by comprising an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring gait information, bone metabolite information and bone state measurement parameters of a target user by adopting wearable equipment; the prediction module is used for processing the gait information, the bone metabolite information and the bone state measurement parameters based on the artificial intelligence AI model to obtain bone state prediction parameters; The system comprises a bone state prediction module, an evaluation module, a dynamic impact absorption rate calculation module and a dynamic impact absorption rate calculation module, wherein the bone state prediction module is used for carrying out bone health state evaluation of a target user according to bone state prediction parameters and health data of the target user to obtain health state prediction parameters, the health state prediction parameters comprise bone health state instant evaluation indexes and bone health dynamic trend data, the evaluation module is specifically used for determining bone functional redundancy based on a musculoskeletal ratio index, a joint stability coefficient and dynamic impact absorption rate by using a three-dimensional AI fracture risk model, correcting the bone functional redundancy by using the mechanical load index, a falling risk index and a metabolic environment, determining fracture risk index of the target user and a fracture change trend taking a preset period as a time unit based on the corrected bone functional redundancy, the musculoskeletal ratio index is used for reflecting a cooperative mechanical relation between muscles and bones, the joint stability coefficient is regularity and symmetry of a reaction joint motion track obtained by measuring the gait information and joint angle data so as to quantify the impact resistance of joints in a motion time sequence, the dynamic impact absorption rate is used for measuring the potential impact resistance of the bone in a motion time sequence and a dynamic impact buffer stress coefficient set by combining sole pressure sensor data and acceleration information, and the bone functional redundancy is used for analyzing the bone functional redundancy in a dynamic impact buffer performance and a dynamic impact tolerance basic and a dynamic impact resistance required and a dynamic impact time sequence and a dynamic buffer figure is used for analyzing and a dynamic impact required to be calculated; The prompting module is used for outputting prompting information when determining that the target user has a falling risk according to the bone health state instant evaluation index and the baseline health data of the target user, wherein the prompting information comprises a falling risk value, falling-causing movement and falling risk countermeasures; The targeting planning comprises a motion planning and a diet planning, wherein the targeting motion planning is used for guiding the motion of the target user, the diet planning is used for guiding the diet of the target user, the targeting planning comprises a long-term planning for resisting long-term bone health risks indicated by the bone health dynamic trend data, and a short-term planning which is consistent with the targets of the long-term planning and avoids the corresponding falling risk of the instant evaluation index.
9. The system according to claim 8, wherein the acquisition module is specifically configured to perform at least one of: collecting the gait information by using a foot pressure sensing shoe or an intelligent foot ring; measuring bone structure indexes by using a household bracelet of an ultrasonic bone densitometer; Measuring the muscle condition by using bioelectrical impedance to obtain skeletal muscle parameters; the bone metabolite information is acquired using a bandage sensor, wherein the bandage sensor is also operable to acquire muscle movement information at the location, the muscle movement information also being used for the prediction of the bone state prediction parameter.
10. A computer readable medium having instructions stored thereon, which when executed by one or more processors, cause the processors to perform the method of any of claims 1 to 7.

Description

Bone health dynamic tracking and intervention method and system based on movement and nutrition Technical Field The invention relates to the technical field of big health, in particular to a bone health dynamic tracking and intervention method and system based on sports and nutrition. Background The technical field of bone health management currently mainly depends on static detection, single-dimension evaluation and generalized intervention schemes. The traditional Bone health management system takes Bone density (Bone MINERAL DENSITY, BMD) detection as a core, and combines empirical exercise and nutrition planning to form a basic flow of detection-evaluation-intervention. For example, the hysteresis of traditional bone mineral density detection, which is usually only 1-2 times per year, is difficult to reflect the dynamic influence of daily exercise and nutrition on bone health in time. Disclosure of Invention In view of the above, the embodiments of the present invention provide a method and a system for dynamic tracking and intervention of bone health based on exercise and nutrition. The technical scheme of the invention is realized as follows: The first aspect of the disclosed embodiments provides a bone health dynamic tracking and intervention method based on movement and nutrition, which comprises the steps of adopting a wearable device to acquire gait information, bone metabolite information and bone state measurement parameters of a target user, processing the gait information, the bone metabolite information and the bone state measurement parameters based on an artificial intelligence AI model to obtain bone state prediction parameters, and outputting prompt information when determining that the target user has a falling risk according to the even evaluation index and baseline health data of the target user, wherein the prompt information comprises a falling risk value, a movement causing falling and a falling risk resisting measure; The target planning comprises a movement planning and a diet planning, wherein the target movement planning is used for guiding movement of the target user, the diet planning is used for guiding diet of the target user, the target planning comprises a long-term planning for resisting long-term bone health risks indicated by the bone health dynamic trend data and a short-term planning which is consistent with the long-term planning and avoids the falling risk corresponding to the instant evaluation index. The second aspect of the disclosed embodiments provides a bone health dynamic tracking and intervention system based on movement and nutrition, which comprises an acquisition module, a prediction module, an evaluation module, a prompt module and a targeting module, wherein the acquisition module is used for acquiring gait information, bone metabolite information and bone state measurement parameters of a target user by adopting a wearable device, the prediction module is used for processing the gait information, the bone metabolite information and the bone state measurement parameters based on an artificial intelligence AI model to obtain bone state prediction parameters, the evaluation module is used for conducting bone health state evaluation of the target user according to the bone state prediction parameters and health data of the target user to obtain health state prediction parameters, the health state prediction parameters comprise bone health state instant evaluation indexes and bone health dynamic trend data, the prompt module is used for outputting prompt information when determining that the target user has a falling risk according to the even evaluation indexes and baseline health data of the target user, the prompt information comprises a falling risk value, movement and falling risk-causing measures, the targeting module is used for generating the targeting according to the health state prediction parameters, the targeting comprises movement and the bone state prediction parameters, wherein the health state prediction parameters comprise movement and the bone health state instant evaluation indexes are used for guiding the target user to plan to resist the long-term health trend. A third aspect of the disclosed embodiments provides a computer-readable medium having instructions stored thereon, which when executed by one or more processors, cause the processors to perform a method of dynamic tracking and intervention of bone health based on exercise and nutrition as described in any of the foregoing claims. The bone health dynamic tracking and intervention method based on the motion and nutrition is used for acquiring gait information, bone metabolite information and bone state measurement parameters in real time by means of the wearable equipment, so that comprehensive, dynamic and accurate monitoring of bone health data of a user is realized. The data are analyzed and processed by utilizing the artificial intelligence AI model in depth, bone state predi