15 results about "Time exercise" patented technology

The invention discloses a rehabilitation exercise risk assessment method and device, and relates to the technical field of exercise rehabilitation, and the method comprises the steps: building a body load baseline according to user basic information and static medical history, collecting the exercise posture data of a user through a wearable device, and determining and triggering exercise risk monitoring through three-level abnormal event judgment; and backtracking physiological parameter data, establishing a real-time state vector, comparing the real-time state vector with a body load baseline, outputting a real-time motion risk coefficient, matching a real-time grading intervention strategy, outputting a self-adaptive intervention instruction after an ultra-short-term alarm log is corrected, and driving motion behavior intervention correction. The technical problems of one-sided data and insufficient accuracy caused by the fact that a traditional rehabilitation exercise risk assessment method does not integrate dynamic exercise postures and real-time physiological parameters are solved, accurate and comprehensive assessment, graded intervention and closed-loop tracking of rehabilitation exercise risks are achieved, the exercise injury probability is effectively reduced, and the rehabilitation exercise risk assessment efficiency is improved. And safety and effectiveness of rehabilitation of the patient are guaranteed.

The invention relates to the technical field of fitness management, and discloses a fitness planning data real-time analysis method and system for an electronic watch chip, and the method comprises the steps: associating a unique user ID with multi-modal sensor data, and obtaining a personalized motion feature vector; calculating a real-time exercise efficiency index of the fitness user, and analyzing an exercise efficiency attenuation mode of the fitness user; establishing an exercise efficiency change curve of the fitness user, and determining an exercise efficiency attenuation type of the fitness user in combination with the real-time exercise efficiency index; and dynamically generating a physical fitness optimization scheme of the fitness user, and outputting a fitness plan report of the fitness user in combination with the exercise efficiency change curve. According to the invention, the accuracy and practicability of the electronic watch chip in fitness guidance can be improved.

This invention discloses a method and system for monitoring exercise fatigue based on multimodal biometric recognition, relating to the field of exercise health monitoring technology. The method includes: simultaneously acquiring surface electromyography (EMG), muscle thickness, and inertial data; decomposing EMG signals to reconstruct pure signals and artifacts, and generating reliability weights based on inertia; extracting electrophysiological features from EMG, constructing hysteresis loops from thickness and angle to extract mechanical features, and extracting emotional features from inertia; inputting the three types of features into an adversarial network to decouple and output pure fatigue features; inputting the data into a hidden Markov model to decode the current state and predict the next cycle; fusing the prediction vector, fatigue features, and weights, generating fused features via a graph network and self-attention, outputting a level and labeling the type. This invention solves the problems of dynamic changes in signal quality leading to fused weight mismatch, difficulty in distinguishing fatigue sources, lack of evolutionary prediction, and low cross-individual adaptation efficiency, achieving high-precision and interpretable real-time exercise fatigue monitoring.

1. The name of the design product: Graphical user interface for data observation and recording of oxygen-free strength exercise equipment (3). 2. The use of the design product: For oxygen-free strength exercise equipment. 3. The design points of the design product: In the graphical user interface. 4. The picture or photo that best indicates the design points: Interface change state diagram 5. 5. The six-view of the hardware device is the existing design, and other views are omitted. 6. The use of the graphical user interface: For data observation and recording of oxygen-free strength exercise. 7. The area of the graphical user interface in the product: Electronic device screen. 8. The human-computer interaction mode of the graphical user interface: The main view is the initial interface, click on the resistance mode to enter the interface change state diagram 1, click on the elastic mode in the interface change state diagram 1 to enter the interface change state diagram 2, click on the start in the interface change state diagram 2 to enter the interface change state diagram 3, start the exercise countdown, enter the interface change state diagram 4 after the countdown is over, which is the initial interface state during exercise, then enter the interface change state diagram 5 to monitor real-time exercise data, and enter the interface change state diagram 6 after the exercise is completed.

The invention relates to a health information management method, system and device based on motion data and a medium. The method comprises the following steps: acquiring real-time exercise physiological data and living work and rest data of a user; based on the real-time exercise physiological data, analyzing the activity state of the user to obtain a real-time activity state label; based on the real-time exercise physiological data, the real-time activity state tag and the daily work and rest data, analyzing the characteristics of the body change of the user to obtain a comprehensive context characteristic vector; the comprehensive context feature vector comprises an instantaneous context feature vector, an activity period context feature vector and a work and rest rule context feature vector; generating a dynamic early warning threshold based on the real-time motion physiological data, the comprehensive context feature vector and a preset causal relationship graph; and based on the dynamic early warning threshold and the real-time exercise physiological data, interpretable early warning information is generated. By adopting the method, the accuracy and scientificity of risk early warning can be improved.

1. The name of the design product: Graphical user interface for data observation and recording of anaerobic strength exercise equipment (1). 2. The use of the design product: For anaerobic strength exercise equipment. 3. The design points of the design product: In the graphical user interface. 4. The picture or photo that best indicates the design points: Interface change state diagram 4. 5. The six views of the hardware device are existing designs, and other views are omitted. 6. The use of the graphical user interface: For data observation and recording of anaerobic strength exercise. 7. The area of the graphical user interface in the product: Electronic device screen. 8. The human-computer interaction mode of the graphical user interface: The main view is the initial interface, clicking the test evaluation enters the interface change state diagram 1, clicking the load in the interface change state diagram 1 enters the interface change state diagram 2, starts the exercise countdown, and enters the interface change state diagram 3 after the countdown is over, then enters the interface change state diagram 4 to monitor real-time exercise data, clicks the pause in the interface change state diagram 4 to enter the interface change state diagram 5, and clicks the end in the interface change state diagram 5 to enter the interface change state diagram 6.

The utility model relates to the technical field of medical instruments, in particular to a mammary gland post-operation compression belt which comprises a compression belt body and a compression belt accessory, the compression belt accessory comprises a base and a plurality of air bag assemblies; the air bag assembly comprises an elastic film, a push plate and an air inflation pipe, a cavity is formed in the base, the elastic film is arranged on the base, an air cavity is formed between the push plate and the elastic film, and the air inflation pipe is matched with the air cavity; when the air cavity is not inflated, the elastic film is in an initial state, at the moment, the elastic film is shrunken, and the push plate does not abut against the compression belt body; when the air cavity is gradually inflated through the inflation pipe, the push plate and the cavity move relatively, so that the push plate abuts against the compression belt body, and the elastic film gradually deforms and expands. According to the compression band used after the mammary gland operation, for some patients who are hobby in fitness and do long-time exercise of big and small round muscles, in the process that the patients use the strip-shaped compression band, the breast compression bandaging effect of the patients after the mammary gland operation can be improved.

According to the present invention, while a user performs exercises using a rehabilitation exercise robot, an exercise image of the user is captured in real time, the user's joint coordinates are derived from the real-time exercise image by using artificial intelligence, and feedback information for correcting exercise posture is displayed together with the real-time exercise image by using augmented reality technology. This allows the user to more intuitively check and correct his or her exercise posture during exercise in real time, thereby enabling more effective rehabilitation.

The utility model discloses a postoperative exercise nursing device, including electrotherapy exercise device and the circuit structure of being used in a set, and electrotherapy exercise device includes elastic bandage, and the surface fixedly connected with electrotherapy assembly has penetrated through elastic bandage, and the surface of elastic bandage and located both sides of electrotherapy assembly are all fixedly set with positioning assembly, and the utility model relates to rehabilitation equipment technical field. The postoperative exercise nursing device, through setting up the elastic bandage of silica gel material, makes electrotherapy assembly convenient to wear on the body, and setting up two positioning assemblies, can position the position of each wearing, guarantees the position of positioning assembly each time exercise uniformity and precision, also can guarantee the best exercise nursing effect under the operation of layman, and the positioning operation of positioning assembly is also relatively simple, just needs simple surface press, can extrude a small amount of non - toxic and not easy self - fading ink to the skin, and the observation hole can be used as the positioning point, and the operation is simple.

The invention discloses an exercise guidance method and device, equipment, a storage medium and a program product. The exercise guidance method comprises the following steps: acquiring a played first exercise teaching video and a first real-time exercise video of a first user performing exercise based on the first exercise teaching video; acquiring a first image corresponding to the current time according to the first real-time motion video, and acquiring a second image matched with the first image in the first motion teaching video; according to the first image and the second image, determining the similarity between the motion posture of the first user at the current time and each target motion correction text, and determining a guidance probability value corresponding to each similarity; in response to the fact that the maximum guiding probability value is larger than a preset threshold value, a target motion correction text is output, and the target motion correction text is used for determining the target motion correction text of the maximum guiding probability value. According to the invention, the convenience of exercise guidance is improved.

The invention discloses an obstetrical clinical chest and knee position exercise auxiliary device, and belongs to the technical field of medical instruments. Comprising a supporting base and an exercise support, the supporting base makes contact with the ground through four feet at the bottom and provides a stable placement platform, and a transversely-arranged part on the upper end face of the supporting base is connected with and supports the exercise support to ensure the stability of the whole device. The structural strength and stability of the exercise support are further enhanced, stability can be kept in the exercise process, all the supporting parts provide good support for knees, shanks, the chest, elbows, the head and other parts of a puerpera, local pressure on the body is reduced, pain and fatigue caused by long-time exercise are avoided, and the exercise support is suitable for being used for the puerpera. The movable connecting rod and the adjusting assembly are movably installed to adjust the angle or height of the exercise support so as to adapt to the body conditions and exercise requirements of different puerperae, and adjustment can be conducted according to the height, the body shape and the body conditions of the puerperae.

The invention discloses a personalized exercise plan generation system based on a user portrait and machine learning, and the system comprises a user portrait construction module which is used for collecting and processing basic attribute data, exercise historical data and real-time exercise monitoring data of a user, so as to construct a dynamically updated user portrait; the exercise plan recommendation engine is based on a machine learning model, is accessed to the user portrait construction module, and is used for generating a personalized exercise plan including an exercise type, duration, intensity and a route according to the user portrait; and the plan presentation and interaction module is used for outputting the generated personalized exercise plan to a user terminal and receiving feedback of a user to optimize subsequent recommendation. According to the method, the dynamic user portrait is constructed, intelligent analysis and recommendation are performed by using the machine learning model, and a scientific, accurate and practical personalized exercise plan can be generated for the user.

1. The name of the design product: Graphical user interface for data observation of aerobic strength exercise machine (2). 2. The use of the design product: For aerobic strength exercise machine. 3. The design points of the design product: In the graphical user interface. 4. The picture or photo that best indicates the design points: Interface change state diagram 6. 5. The six views of the hardware device are the existing design, and other views are omitted. 6. The use of the graphical user interface: For data observation of aerobic strength exercise. 7. The area of the graphical user interface in the product: Electronic device screen. 8. The human-computer interaction mode of the graphical user interface: The main view is the initial interface, click on the resistance mode to enter the interface change state diagram 1, click on the centrifugal enhancement in the interface change state diagram 1 to enter the interface change state diagram 2 to adjust the resistance, click on the gear adjustment in the interface change state diagram 2 to enter the interface change state diagram 3 to select the gear, click on the start in the interface change state diagram 3 to enter the interface change state diagram 4, start the exercise countdown, enter the interface change state diagram 5 after the countdown is over, which is the initial interface state during exercise, then enter the change state diagram 6, which is the real-time exercise state 1, then enter the interface change state diagram 7, which is the real-time exercise state 2, and enter the interface change state diagram 8 after the exercise is over.

A smartphone holder and a magnetic field-based exercise equipment identification and data measuring system of the present invention utilize a smartphone holder attachable to exercise equipment and a magnetic field sensor of a smartphone to identify the exercise equipment and provide real-time exercise data to a user. By connecting to a cloud server, exercise records may be managed long-term, and user-specific feedback and exercise plans may be provided, and thus the present invention may be effectively utilized in various exercise environments.

The invention discloses an exercise risk prediction method and system for digital human health simulation, and the method comprises the steps: firstly collecting the basic health data and real-time exercise dynamic data of a human body, and constructing a virtual digital human model for dynamically simulating the heat capacity and heart rate data in an exercise process; then heat capacity and heart rate data generated by the virtual digital human and corresponding exercise risk categories are collected, and an exercise risk prediction model is trained; and finally, the current exercise risk is output by inputting the heat capacity and heart rate data of the user during real-time exercise, the static health parameters and the dynamic physiological indexes are fused through the virtual digital human technology, the problems that a traditional prediction method is low in precision and poor in reliability are solved, effective early warning of various types of exercise risks is achieved, and the exercise risk prediction accuracy is improved. Therefore, the system has a multi-dimensional dynamic risk assessment capability, and the exercise safety and the health management efficiency are remarkably improved.