24 results about "Exercise duration" patented technology

The invention relates to the field of data processing, in particular to an intelligent extraction method and system for key information of a patient, the motion condition and the motion intensity of a user are recognized through motion data collected by intelligent wearable equipment, and when the motion intensity reaches a certain value, the current motion duration of the patient is accumulated. Meanwhile, collecting physical sign data of the user in real time, determining reference physical sign data matched with the patient from a physical sign reference database in combination with the current exercise intensity, and calculating the similarity between the actually measured physical sign data and the reference physical sign data. If the similarity is too low, it can be deduced that the patient possibly feels uncomfortable during movement, at the moment, a question answering process is executed through a pre-constructed question template, and a symptom entity possibly appearing during movement of the patient is found. Finally, the accumulated exercise duration, the symptom entity, the actually-measured sign data and the exercise intensity data serve as key data to be extracted and provided for doctors, and the doctors have related data to refer to and judge the recovery condition of the patient.

The invention relates to the field of data processing, in particular to an intelligent extraction method and system for reference information of a patient in a recovery period, and the method comprises the steps: recognizing the motion condition and motion intensity of a user through motion data collected by an intelligent wearable device, and accumulating the current motion duration of the patient when the motion intensity reaches a certain value; meanwhile, collecting physical sign data of the user in real time, determining reference physical sign data matched with the patient from a physical sign reference database in combination with the current exercise intensity, and calculating the similarity between the actually measured physical sign data and the reference physical sign data. If the similarity is too low, it can be deduced that the patient possibly feels uncomfortable during movement, at the moment, a question answering process is executed through a pre-constructed question template, and a symptom entity possibly appearing during movement of the patient is found. Finally, the accumulated exercise duration, the symptom entity, the actually-measured sign data and the exercise intensity data serve as key data to be extracted and provided for doctors, and the doctors have related data to refer to and judge the recovery condition of the patient.

The invention discloses a weight losing scheme generation method and system based on food share and exercise data, and the method comprises the steps: obtaining daily recommended intake energy data based on weight data and physical activity type data; distributing the daily recommended intake energy data to obtain share quantity data of each type of food; calculating according to the gender data, the age data, the height data and the weight data to obtain basal metabolic rate data; calculating physical activity energy consumption data according to the daily weight loss target data, the daily recommended intake energy data and the basal metabolic rate data; inputting the physical activity energy consumption data and the expected exercise type data into an energy consumption calculation formula to obtain daily activity duration data; and generating a weight losing plan based on the share quantity data of each type of food, the daily exercise type and the exercise duration data. According to the method, the user can be helped to efficiently reduce weight and maintain body health.

The invention discloses a preparation method of a stem cell preparation modified by exercise, which comprises the following steps: 1) setting an exercise type, an exercise period, an exercise frequency and an exercise duration, and performing exercise intervention on human or non-mammals; and 2) extracting primary mesenchymal stem cells from tissues of human or non-mammals after motion intervention, and performing in-vitro culture passage to obtain mesenchymal stem cells of a target generation, namely the stem cell preparation modified by motion. The invention further discloses the stem cell preparation modified through movement, the advantages of movement and the advantages of the stem cell preparation are fully combined, on the basis that the tumor targeting characteristic of the stem cells is reserved, the stem cell preparation has beneficial components which have the treatment effect on tumors after movement modification, safe and efficient treatment of targeted tumors is achieved, and the stem cell preparation modified through movement is suitable for being used for treating tumors. Wide application prospects are realized.

Provided herein are methods of treating patients by administering aficamten, or a pharmaceutically acceptable salt thereof, including in combination with beta blockers. The treatment methods include improving heart rate reserve, peak metabolic equivalents (METs), exercise duration, peak oxygen uptake (pVO2) as well as other parameters related to exercise capacity.

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.

The present invention discloses a fitness exercise live broadcast action labeling and processing system and method based on big data, which relates to the field of intelligent fitness technology. The technical points of the scheme are: accurately labeling fitness actions in live broadcasts, detecting the positions of key points of the human body, constructing feature vectors that describe the actions, calculating the similarity between the real-time action feature vectors and the standard action feature vectors, calculating fatigue through real-time heart rate variability and exercise duration, as well as a heart rate variability baseline value, taking action standardization, action intensity, heart rate variability and fatigue as risk features, calculating the weights of various risk features through a risk assessment matrix, combining the values ​​of the risk features to calculate action risk assessment values, comparing the action risk assessment values ​​with risk thresholds, taking corresponding measures based on the comparison results, and realizing real-time analysis of exercise data of different users under specific actions, thereby effectively avoiding the occurrence of sports injuries.

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 a fat consumption speed estimation method and system, an interaction system and a code table. The estimation method comprises the steps that the oxygen uptake speed vo2 (i) at the ith moment in the movement process is estimated; on the basis of a preset relationship between the maximum oxygen uptake percentage% vo2max at the ith moment and the maximum oxygen uptake percentage at the ith moment and the contribution ratio of fat in energy supply, estimating the contribution ratio faixid (i) at the ith moment; estimating a fat gain coefficient lambda; and estimating the fat consumption speed vfat (i) at the ith moment by using the lambda, the fat (i), the vo2 (i) and the Mbody. The exercise intensity, the carbon water intake and the exercise duration of the user influencing fat oxidation are considered, the fat consumption speed is estimated based on the heart rate data and / or the power data of the user, external connection of respiration monitoring equipment is avoided, and the riding experience of the user is improved while the requirement for obtaining fat consumption of the user is met.

The present invention relates to the field of data processing, and specifically to an intelligent extraction method and system for key patient information, which uses motion data collected by intelligent wearable devices to identify the user's exercise status and exercise intensity, and when the exercise intensity reaches a certain value, the patient's current exercise duration is accumulated. At the same time, the user's vital sign data is collected in real time, and the reference vital sign data matching the patient is determined from the vital sign reference database in combination with the current exercise intensity, and the similarity between the measured vital sign data and the reference vital sign data is calculated. If the similarity is too low, it can be inferred that the patient may be uncomfortable during exercise. At this time, a pre-constructed question template is used to execute the question-and-answer process to find the symptom entities that may occur in the patient during exercise. Finally, the accumulated exercise duration, symptom entity, measured vital sign data, and exercise intensity data are all extracted as key data to provide to doctors, so that doctors have relevant data to refer to and judge the patient's recovery.

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 a power vehicle training constant heart rate control method and system, and relates to the field of PID control, and the method comprises the steps: obtaining a first real-time heart rate of a patient, calculating an adjustment load value of a power vehicle according to a preset PID control equation based on the first real-time heart rate and a preset heart rate threshold value, and adjusting the power of the power vehicle according to the adjustment load value, and obtaining a second real-time heart rate within the adjusted preset time period and the rotating speed of the power vehicle, determining a real-time characteristic value of the patient based on the second real-time heart rate and the rotating speed, obtaining the current movement time length of the patient, and determining a correction value for calculating and adjusting the load value next time according to the real-time characteristic value and the current movement time length. After the adjustment load value of the power vehicle is determined next time, the correction value is combined to obtain the final adjustment load value of the next time. The method has the advantages that the center rate of the patient in the training process is more stable, and large fluctuation is not prone to occurring.

Provided herein are methods of treating patients by administering aficamten, or a pharmaceutically acceptable salt thereof, including in combination with beta blockers. The treatment methods include improving heart rate reserve, peak metabolic equivalents (METs), exercise duration, peak oxygen uptake (pVCE) as well as other parameters related to exercise capacity.

The present invention discloses a composition for enhancing exercise performance using an Onju mandarin extract, which has the effect of significantly improving the exercise duration of experimental animals in forced running tests and forced swimming tests, and reducing the concentration of blood urea nitrogen and the activity of blood lactate dehydrogenase that increased by exercise.

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.

The utility model discloses a shoe with an anti-sprain protection device, which comprises a sole and a vamp, at least one air bag is oppositely arranged from a neckline to the inner side and the outer side of the sole, an inflation control component is connected with the air bag, and the inflation control component can monitor motion information in a motion process and adjust the volume of the air bag according to the motion information. The pressure of the air bag on the foot of the human body is regulated. The air bags are oppositely arranged on the two sides of the ankle joint of the foot, the inflation control assembly is used for collecting information such as exercise duration and exercise intensity, fatigue degree calculation and judgment are conducted, and after a certain fatigue degree is achieved, the air bags at the specific positions are inflated so as to strengthen wrapping, tightening and heighten the shoe upper, and therefore the purpose of preventing fatigue is achieved. Certain balance is achieved between protection of the foot ankle joint and keeping of flexibility of the ankle joint, and the foot ankle joint protector has the advantages that the foot ankle joint is protected, and meanwhile the foot movement function is kept to the maximum degree.

The embodiment of the invention provides a personalized exercise scheme recommendation method and device based on an intelligent algorithm. The method comprises the steps of obtaining health data of a target user and an exercise type set corresponding to the health data; acquiring the exercise demand of the target user, wherein the exercise demand comprises at least one of exercise type preference, exercise frequency per week and exercise duration per time; using a multi-target XGBoost-Pareto model to optimize and adjust the health data based on the exercise demand and the exercise type set to obtain a target exercise video scheme meeting a target constraint condition, the target constraint condition being related to at least one of health income, exercise risk and user exercise type preference; the target exercise video scheme is recommended to the target user, at least personalized exercise schemes can be given for different users, exercise preferences of the users are met, fitness benefits are improved, exercise injuries are reduced, the exercise effect is comprehensively improved, and the satisfaction degree of the users to the exercise recommendation scheme is improved.

1. Name of the product of this design: A vital sign data bar for a graphical user interface displaying the motion trajectory of an electronic device. 2. Purpose of this design product: an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Design 2 main view. 5. Designate Design 2 as the base design. 6. Purpose of the Graphical User Interface: The overall purpose of the interface is to display exercise trajectory, heart rate, blood oxygen, number of steps, exercise distance, energy consumption and exercise duration; the local purpose is to display the user's exercise trajectory and various vital signs data in the vital signs data column. 7. Human-computer interaction method of the graphical user interface: In each design, the main view is the main interface displayed on the display screen panel. When the user changes the direction of movement in the main view, the movement trajectory and movement positioning in the vital sign data column will change accordingly; when the user clicks on the grid where a certain vital sign data is located in the vital sign data column, the function of the electronic device to detect the corresponding vital sign data can be activated, and the displayed detected vital sign data will be updated. The specific interface is shown in the interface usage status reference diagram. 8. Other situations that require explanation: The parts that do not require protection are indicated by dotted lines in the interface.