10 results about "Exercise duration" patented technology

The present application relates to a desk lamp for exercising eye muscles, comprising: a lighting module having a plurality of light-emitting bodies arranged according to a preset shape, configured to have a plurality of preset exercise lighting modes for exercising different eye muscle groups; a detection module for acquiring eye information capable of reflecting the degree of eye fatigue and / or the activity level of eye muscle groups; and a control module provided on the desk lamp, configured to control the lighting module to exercise the user's eyes with a combination of exercise lighting modes adapted to the user's eye information based on the eye information detected by the detection module, wherein the combination of exercise lighting modes varies in one or more of the following: the exercise duration of different exercise lighting modes, the cycle number of different exercise lighting modes, and the exercise sequence of different exercise lighting modes.

This invention discloses a physiotherapy device for sarcopenia, comprising a box body with an opening at the top. A sliding plate is slidably connected inside the box body, and the sliding plate can move up and down along the inner wall of the box body. A support frame is mounted on the upper end of the sliding plate. The device also includes a second gear and a second shaft. The first shaft includes a gear portion. The outer wall of the second shaft is fitted with the first gear and the second support frame. The first gear and the second support frame are slidably connected, and the second support frame is slidably connected to the second shaft. The second support frame can rotate along the outer wall of the second shaft. The first gear and the second support frame are distributed left and right along the axial direction of the second shaft. A torsion spring connects the end face of the first gear and the end face of the second support frame. The torsion spring is fitted into the second shaft, and its two ends are fixed to the end faces of the first gear and the second support frame, respectively. The second gear is located below the first gear and above the gear portion, and meshes with both the gear portion and the first gear. This invention provides a physiotherapy device for sarcopenia, which can improve blood circulation, accelerate muscle fatigue recovery, and increase exercise duration when used by patients with sarcopenia.

The invention discloses a composition for synergistically relieving physical fatigue and its application. The composition—comprising at least two components selected from Red ginseng, Lycium ruthenicum, and Ganoderma lucidum, compounded in a specific ratio-synergistically regulates antioxidant capacity, calcium ion metabolism, and energy metabolism. It increases bodily ATP content and glycogen reserves, accelerates the clearance of lactic acid and urea nitrogen, extends exercise duration, and significantly alleviates physical fatigue, with a synergistic effect superior to that of any single component used alone. The composition features simple, all-natural plant-derived components, validated through scientific demonstration and experimental verification. It has a clear mechanism of action and definite interaction among components in fatigue relief, along with the advantages of being green and safe. Additionally, the composition's preparation process is simple and easy to operate, requiring no professional technicians or large-scale equipment. It boasts low production costs and facilitates industrialization.

The invention relates to application of pyruvate kinase (PKM), triosephosphate isomerase (TPI1), alpha-enolase (ENO1) and lactic dehydrogenase (LDHB) in urine in preparation of medicines for exercise function evaluation (exercise intensity, exercise density, exercise duration, exercise function, exercise posture and physiological state), exercise risk prediction, exerciser physique evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise function evaluation, exercise and scientific exercise guidance, exercise scheme screening and other reagents are applied. Research proves that the proteins PKM, TPI1, ENO1 and LDHB in urine are key proteins for exercise training monitoring for the first time. Compared with the prior art, the expression of the four proteins in a urine sample after movement is obviously increased. The sensitivity and the specificity of various purposes such as function evaluation, exercise risk prediction and scientific exercise guidance of exercise training can be improved through independent use of one of the components and combined use of multiple components.

The invention discloses a pet weight management method, system and device, relates to the technical field of smart home, and is applied to a mobile application APP, and the method comprises the steps: evaluating the obesity degree of a pet based on the input basic information of the pet, and calculating the initial daily feeding amount according to the evaluation result; basic information, daily feeding amount and motion data of the pet are collected and synchronized to the mobile application APP; based on the synchronous data of the mobile application APP, generating a weight change curve, diet calorie statistical data and exercise duration statistical data of the pet; and adjusting daily feeding amount and exercise data based on the weight change curve, the diet calorie statistical data and the exercise duration statistical data. According to the invention, from single equipment function to intelligent linkage of multiple equipment, the problem of data splitting is solved; the accuracy and efficiency of management are improved from dependence on manual judgment to adaptive dynamic optimization; through conversion from a universal scheme to targeted intervention, the effectiveness of weight management and pet experience are improved.

This invention discloses an intelligent ankle pump exercise monitoring system and method, belonging to the field of intelligent exercise monitoring technology. Specifically, it includes: real-time acquisition of ankle joint posture and physiological parameters through high-precision sensors and monitoring equipment; obtaining accurate exercise data through data fusion and filtering; setting a standard exercise cycle; comparing and correcting posture sequences with a standard database; assessing exercise standardization, energy consumption, and body load to preliminarily determine body condition; setting body condition grading; classifying risk levels based on posture assessment results; developing personalized optimal posture plans; and real-time monitoring and correction of non-standard postures; and constructing a machine learning model based on historical data to predict exercise duration and lower limb condition, customizing exercise or recovery plans for different groups, thus realizing intelligent and personalized monitoring and management of ankle pump exercises.

The invention discloses an intelligent walking aid method, device and equipment for sarcopenia rehabilitation and a readable storage medium, and relates to the technical field of medical rehabilitation. Comprising the steps of firstly obtaining body data of a rehabilitation person; the body data comprises grip data, pressure data, exercise duration data and image data; adjusting the wheel resistance of the sarcopenia rehabilitation intelligent walking aid on the basis of the grip strength data, the pressure data and the movement duration data; and finally, based on the image data, identifying a human body posture and a falling risk of the rehabilitation person, and based on the human body posture and the falling risk, outputting an adjustment suggestion for the rehabilitation person. According to the method, rehabilitation personnel can be helped to recover more timely and effectively.

The invention relates to the technical field of exercise health monitoring, in particular to an exercise heart rate monitoring and intensity linkage early warning system which comprises a linkage early warning center, a multi-dimensional exercise module, a data processing module, a body state evaluation module, a linkage control module, a feedback evaluation unit and an early warning execution module. Core data related to user motion characteristics are collected in real time, analysis deviation caused by data missing is avoided, the heart rate-motion intensity correlation model is constructed based on data processing, the heart rate abnormal state is accurately recognized through real-time heart rate monitoring and motion intensity correlation analysis, and the user experience is improved. Closed-loop management of accurate judgment, graded early warning and effective response is achieved, the exercise safety is remarkably improved, meanwhile, early warning triggering better fits the actual state of the user through comprehensive evaluation, the heart rate threshold value is dynamically adjusted according to the real-time body state and the exercise duration of the user, and the user experience is improved. The problems that a traditional static threshold value is too strict in the initial stage of movement and lags behind in the later stage of movement are solved.

This invention discloses a method, system, interactive system, and code table for estimating the rate of fat consumption. The estimation method includes: estimating the rate of fat consumption during exercise. i oxygen uptake rate at any given time vo2 ( i Based on the first i Maximum oxygen uptake percentage at any given time % vo2max and the i The preset relationship between the percentage of maximum oxygen uptake and the contribution of fat to energy supply at a given time is used to estimate the first... i Contribution ratio at any moment fat_oxid ( i ) ； Estimate the fat gain coefficient λ; utilize λ, fat_oxid ( i ), vo2 ( i )and M_body Estimate the first i fat burning rate at any time v_fat ( i This invention takes into account the user's exercise intensity, carbohydrate intake, and exercise duration, which affect fat oxidation. Based on the user's heart rate and / or power data, it estimates the rate of fat consumption, avoiding the need for external respiratory monitoring devices. This satisfies the user's need to obtain information on fat consumption while improving the user's cycling experience.

The invention relates to the technical field of artificial intelligence, in particular to an exercise prescription making and evaluating method for hypertension crowds. The method comprises the steps that S1, data collection is conducted through health screening and medical screening, and preprocessing is conducted; constructing different types of motion databases; s2, performing an exercise test, detecting the physical quality, the physical function and the physical form of the user, collecting data, and calculating an exercise comprehensive rating score; s3, opening an exercise prescription according to the exercise test; and S4, assisting the user to exercise, and calculating an exercise score. The method has the advantages that when a prescription is made, the initial exercise duration, the exercise frequency and the exercise intensity are confirmed only according to the total score of exercise evaluation for fine control, and the intensities of various types of exercises are calculated respectively, so that the exercises are more targeted, and the optimal effect is achieved.