470 results about "Activity intensity" patented technology

The present invention relates to systems and methods for monitoring and promoting behavioral modification with regard to an individual's health. In particular, the present invention provides a means for monitoring an individual's performance of health-promoting measures and, based on the member compliance to health-promoting measures, issuing tangible and / or intangible incentive products. In one embodiment, exercise / activity monitors are worn by members to verify their identity and to record and transmit member compliance in performing health-promoting measures (i.e., heart rate, type of exercise, exercise intensity and duration). All health-related information, including physical examination results and recorded participation in health-promoting measures, are used to determine appropriate incentives (i.e., subsidize membership fees for health club) to be rewarded to said member.

The present invention relates to systems and methods for evaluating and establishing pricing of insurance products based on insured member compliance to health-promoting measures. Member participation in health-promoting measures are monitored and used as a basis for establishing incentives (i.e., reduction in insurance premiums) for said member. In one embodiment, exercise / activity monitors are worn by members to verify their identity and to record insurance member compliance in performing health-promoting measures (i.e., heart rate, type of exercise, exercise intensity and duration). All health-related information, including physical examination results and recorded participation in health-promoting measures, are used to determine appropriate incentives (i.e., subsidize membership fees for health club) to be rewarded to said member.

It is an object of the present invention to provide a charged particle beam extraction method and particle beam irradiation system that make it possible to exercise intensity control over an extracted ion beam while a simple device configuration is employed. To accomplish the above object, there is provided a particle beam irradiation system comprising: a synchrotron for accelerating and extracting an charged particle beam; an irradiation apparatus for extracting the charged particle beam that is extracted from the synchrotron; first beam intensity modulation means for controlling the beam intensity of the charged particle beam extracted from the synchrotron during an extraction control period of an operation cycle of the synchrotron; and second beam intensity modulation means for controlling the beam intensity during each of a plurality of irradiation periods contained in the extraction control period of the operation cycle.

An exercise machine inclination device for providing variable exercise intensity on an exercise machine by inclining the exercise machine. The exercise machine inclination device generally includes a base adapted for being positioned upon a floor, a support structure adapted for supporting an exercise machine, a hinge pivotally connecting the base and the support structure and an actuator connected between the base and the support structure, wherein the actuator adjusts an angle of the support structure.

The invention discloses a dynamic electrocardiogram and motion recording and analyzing system, which is used for automatic detection on user activities and electrocardiogram analysis under activity scenes. The system comprises an electrocardiogram and motion sensor unit, a data acquisition, storage and transmission unit and an analysis and software unit, wherein the electrode of a motion sensor and the electrode of an electrocardiogram sensor can be packaged together or used independently; the system records and automatically detects daily physical motions of a user, such as lying, sitting, walking, running, tumbling, sitting up, standing up, sitting down, lying down and the like, and gives corresponding activity intensity; the electrocardiogram is automatically analyzed; and a corresponding mark is given when an abnormal electrocardiogram or abnormal activity is detected, all corresponding original signals and analysis results are stored, and nursing staff are prompted. The system gives heart rate variability of the user under different activity intensities, and changes of the heart rate variability along with activity types, activity intensities and time. The systems gives a method of analyzing changes of heart rate and electrocardiogram forms along with activity intensity and duration, and can be used for aerobic exercise optimization and exercise safety in motion and exercising.

An embodiment of the invention includes a device, system and method for determining the characteristics of deep tissue. The novel method includes measuring blood flow rate and oxygenation characteristics of the tissue, and determining oxygen metabolism of the tissue as a function of the measure blood flow rate and measure oxygenation. The blood flow rate characteristics are measured as a function of light fluctuations caused by the tissue, while the oxygenation characteristics are measured as a function of transmission of light through the tissue with respect to the wavelength of light. The tissue may be layered tissue, for example, a portion of a brain. The tissue characteristics may be measured during times of varying levels of exercise intensity.

The invention relates to an external skeleton robot for exercising lower limbs and an exercise control method thereof. The robot comprises the following four parts of a support balance frame, external skeleton mechanical legs, a running machine and a control system. The exercise control method has two modes, namely a passive walking exercise mode and an active walking exercise mode. In the passive walking exercise mode, the robot is controlled to drive an operator to complete specific exercise or exercise by a correct physiological gait trajectory; in the active walking exercise mode, the robot inhibits the limited abnormal exercise of the operator, directly corrects the limited abnormal exercise or generates gait exercise trajectories expected by the operator through a self-adaptive controller and indirectly fulfills the aim that the robot supplies walking exercise auxiliary force and resistance. The external skeleton robot can improve the exercise ability of limbs of human bodies, can assist persons walking and can reduce the exercise intensity under the condition that the persons bear load or walk for a long time.

We here describe an exercise system and control method thereof to obtain exercise protocols relating to the individual user's optimal exercise intensity. The system and method comprise the monitoring of the transition between the aerobic and anaerobic training zones and an estimate of the maximal lactate steady state, which is an important physiological indicator of the user's cardio respiratory fitness. Together with individual models of how the user's heart rate responds to exercise intensity, it is possible to predict the needed exercise intensity that should be performed to obtain the wanted exercise goal. The analysis can (preferably) be performed in real-time during exercise.

The Integrated Body Conditioning (IBC) exercise system is a method of exercising employing three defining elements: integration of aerobic, resistance, and Range of Motion exercises performed at a properly elevated heart rate with exercise intensity and duration adjusted in view of biofeedback data.

The invention relates to an intelligent method for carrying out space-time prediction of the landslide catastrophe process. The invention is carried out via a computer, comprising the following steps of: 1) choosing a detained landslide to be predicted, confirming calculation parameters; 2) establishing a geometric model of the landslide intelligent prediction; 3) intelligently predicting the 3D stability of the landslide; 4) intelligently predicting the unstable state of the landslide; 5) intelligently predicting the activity intensity of the landslide as follows: computing the landslide deformation process in the unstable state, outputting deformation maps in real time until the end of the landslide. Compared with the prior art, the invention reduces the workload, improves the precision, simplifies the judging method of space-time predicting of the landslide catastrophe process with much convenience and reliability, and improves the maneuverability of the space-time predicting of the landslide catastrophe process. Therefore the invention is the simple, intuitionistic, economical and high-efficient space-time prediction of the landslide catastrophe process.

The invention discloses an exercise behavior identification method, which comprises: obtaining an actual data set reflecting the actual exercise behaviors of an exerciser; respectively matching data in the processed actual data set with data in a preset data set corresponding to each preset behavior in a behavior feature library, and determining the preset behavior with the highest matching degree to be the exercise behavior of the exerciser. The invention further discloses an exercise behavior identification device and an exercise intensity monitoring system. According to the technical scheme, the exercise behavior of the exerciser can be accurately identified and the exercise intensity of the exerciser can be accurately monitored.

The invention discloses an angle and myoelectricity continuous decoding method for a human body lower limb walking joint. The movement track of a lower limb body surface optical marking point in the human body walking process is recorded through an optical movement capture system, and the movement angle of the lower limb joint is precisely calculated through the human body lower limb kinematical modeling; surface electromyogram signals of eight main muscles related to lower limb movement in the human body walking process are synchronously acquired, the activity intensity information of the signals is extracted through filtering and rectifying preprocessing, and the optical independent feature vector set describing the intensity of the surface electromyogram signals is extracted through the principle component analysis method; a nonlinear regression model from surface electromyogram signal features (independent variables) to the vertical plane joint movement angles (dependent variables) is established through the gene expression programming symbol regression analysis method, and the lower limb movement track is predicted. The method is mainly applied to design and manufacture of medical rehabilitation machines.

The invention provides a biological information processing device, including: a measuring unit that measures the pulse rate of a test subject; a detector that detects a body motion of the test subject; a computation unit that computes an intensity of exercise performed by the test subject using a result of detection by the detector; a first estimation unit that estimates an estimated pulse rate using the exercise intensity computed by the computation unit; and a controller that controls so that the pulse rate from a result of the measurement is displayed in an instance in which measurement by the measuring unit is possible, and the estimated pulse rate estimated by the first estimation unit is displayed in an instance in which measurement by the measuring unit is not possible.

The invention discloses a tea-garden-type goose raising method. The tea-garden-type goose raising method comprises the steps that a plot of land, suitable for raising gooses, in a tea garden is chosen; the gooses are raised according to the three phases that epidemic prevention work for the gooses raised in the tea garden is well prepared, and reasonable putting and raising are conducted on the gooses raised in the tea garden, and reasonable rotation grazing is conducted on the gooses raised in the tea garden. Being raised in the tea garden, the gooses do activities in the garden, ventilating conducted among plants is enhanced, and the gooses peck weeds in the garden to reduce feeding amount and help tea trees to remove insect attack, and increase organic fertilizers. When a group of gooses is put and raised in a field in a group mode, because activity ranges are enlarged and activity intensity is increased, the resistance of the goose group is improved, epidemic diseases are reduced, and meat quality and economic benefits are better. Because the goose group is grazed in the tea garden, all kinds of resources are effectively used, the purposes that the allocation of the resources is optimized and the resources are efficiently used are achieved, and the mutually-beneficial and mutual-promoting healthy cultivation model with the coordination of farming and animal husbandry and the matching of planting and breeding is achieved.

The invention discloses a management system of an exercise scheme. The management system comprises a sensing unit, a receiving unit and a control unit, wherein the sensing unit is configured to detect the exercise intensity of a user; the receiving unit is configured to receive the first exercise scheme of the user in a first time interval; and the control unit is configured to generate a second exercise scheme in a second time interval according to the exercise intensity of the user and the first exercise scheme, and regulate at least one group formed by an exercise amount, the exercise intensity and the combination of the exercise amount and the exercise intensity to achieve the second exercise scheme, wherein the exercise amount, the exercise intensity and the combination of the exercise amount and the exercise intensity exclusively belong to the user.

The invention provides a device and a system for adaptively adjusting pacing frequency. The device comprises a band-pass filter, an over-threshold value detecting and counting unit, a heart rate adaptation unit and a smooth transition unit, wherein the band-pass filter is used for performing band-pass filtering on an acceleration signal sensed by an acceleration transducer; the over-threshold value detecting and counting unit is used for acquiring an exercise intensity estimated value of a human body based on the filtered acceleration signal; the heart rate adaptation unit is used for acquiring a corresponding target heart rate according to a predefined adaptive curve based on the exercise intensity estimated value, wherein the adaptive curve consists of a sub-usual heart rate section which gradually ascends, a platform-shaped usual heart rate section, a super-usual heart rate section which gradually ascends, and a platform-shaped upper limit heart rate section; and the smooth transition unit is used for updating the pacing frequency by employing an approximation curve according to the current pacing frequency and a target heart rate. By the device and the system, the exercise intensity of the human body can be sensitively captured in real time; and therefore, the target heart rate is rapidly adapted, the pacing frequency is updated, and smooth transition from the current pacing frequency to the target heart rate is realized.

The invention relates to a body-building program real-time adjusting system and a method thereof, wherein the purpose on adjusting the exercise intensity in real time by a body-building device according to personal body-building states of a user can be realized by the steps of: loading a proper body-building mode by analyzing the physiological information of a user, working out exercise intensity according to target time and target calorie which are input by the user, further generating a body-building program, adjusting the exercise intensity of a body-building device in real time when the body-building program is executed, and detecting the heat rate parameters of the user in real time during the execution of the body-building program so as to adjust the exercise intensity.

The embodiment of the present invention discloses a method for monitoring exercise intensity, which includes: when the smart bracelet acquires an instruction to monitor the user's exercise intensity, the smart bracelet enters the mode of monitoring the user's exercise intensity, and collects the user's current exercise intensity through the heart rate monitoring module. Heart rate; the smart bracelet judges whether the heart rate is within the preset heart rate range; when the smart bracelet judges that the heart rate is not within the heart rate range, the smart bracelet obtains preset exercise intensity adjustment prompt information to output. The embodiment of the invention also discloses a smart bracelet. With the present invention, the smart watch can monitor the user's exercise intensity and provide exercise adjustment prompts, so that the user can adjust the exercise intensity according to the exercise intensity adjustment prompt information output by the smart bracelet, so that the user can exercise more reasonably and improve User motion effects.

The invention relates to a pregnancy duration nutrition data management method and system, computer equipment and a storage medium. The method comprises the steps that basic information uploaded by auser terminal is received, wherein the basic information comprises user identification and activity intensity; the basic information is utilized to generate an information data packet, and the information data packet is stored in a cloud database; the current weight state type corresponding to the user identification is judged according to the basic information; a user daily energy supply amount correspondence table is obtained, and a user daily energy supply amount value is obtained according to the corresponding relation between the current weight state type and the activity intensity; a daily needed total energy value corresponding to the user identification is calculated by utilizing the current weight state type and the user daily energy supply amount value; a nutrition scheme corresponding to the user identification is generated according to the daily needed total energy value and the current weight state type; the nutrition scheme is sent to a user terminal corresponding to theuser identification. By the adoption of the method, pregnancy duration nutrition of the user can be effectively managed according to the health condition of the user.

The invention discloses a depression remote rehabilitation system based on brain wave closed-loop monitoring. By analyzing the real-time feedback conditions of brain electric signals generated by depression patients in specific music, meditation or activities based on virtual reality and self-adaptively adjusting the music types, meditation time and activity strength, the aim of self assessment and rehabilitation treatment for the depression patients is realized. A comfortable treatment environment is provided for the patients through a virtual reality technology, brain electric and activity information is collected through a sensing capturing technology, evaluating and treatment scheme adjusting are conducted for the patients through a big data analysis method. The depression remote rehabilitation system comprises a client side and a server side. The client side comprises a virtual scene module, a rehabilitation module, a brain electric collecting module, an activity collecting module, a processor and a displayer. The server side comprises a cloud service module, a database and a data analysis module. The depression remote rehabilitation system is simple, light, beneficial for rehabilitation treatment for the patients in families and community hospitals and easy to apply and popularize.

The invention relates to an attached dynamic electrocardiogram recorder and a system thereof. The attached dynamic electrocardiogram recorder comprises a casing as well as a signal acquisition and storage module, an exercise monitoring module, a data transmission module and a power management module which are arranged in the casing, wherein the signal acquisition and storage module comprises an electrocardiosignal amplification module, an MCU (microprogrammed control unit) control module and a data storage module; the data storage module comprises an FRAM (ferroelectric random access memory) and an eMMC (Embeded Multi Media Card) memory and stores the received electrocardiogram data and exercise intensity data to the FRAM, and all the electrocardiogram data and the exercise intensity data in the FRAM are stored to the eMMC memory after the storage capacity of the FRAM reaches a set value. By means of the attached dynamic electrocardiogram recorder and the system, the power consumption can be effectively reduced.

The invention relates to an indoor exercise observation apparatus and method based on a body feeling technology, and a storage medium. The indoor exercise observation apparatus includes a body feeling device, an exercise identification module, an exercise base module, and an exercise intensity module, wherein the body feeling device is used for acquiring and outputting RGB images and depth information; the exercise identification module is used for extracting the characteristic vector of exercise of a human body according to the depth information, matching and identifying the exercise type of a user, inquiring the exercise intensity and obtaining the exercise information of the user through calculation; the exercise base module includes an action database in which various exercise models are stored; and the exercise intensity module is used for storing the exercise intensity parameters of various exercise types. The indoor exercise observation apparatus based on a body feeling technology can calculate the exercise state and type of the user, can display the exercise information, such as the consumed calories, oxygen demand and exercise time, is convenient for the user to look up, and has the advantages of simplicity, convenience, high compatibility and high entertainment.

The invention belongs to the technical field of leg exercise rehabilitation devices, particularly to a rehabilitation device having a leg exercising function and used for children rehabilitation. In the prior art, the existing rehabilitation training device cannot be used for different children, the exercise intensity is inconvenient to adjust, and the legs are inconvenient to massage and nurse after exercise. Based on the problems in the prior art, the technical scheme of the invention is that the rehabilitation device comprises a rehabilitation bed, wherein a seat cushion is slidably mountedat the top of the rehabilitation bed, two leg massage devices are transversely slidably mounted on the rehabilitation bed, a square groove is formed in the top of the rehabilitation bed, a square block and an adjusting plate are slidably mounted in the square groove, a pedal plate is movably connected to the top of the square block, a round rod is fixedly mounted on one side of the square block,and the round rod is slidably connected with the adjusting plate. The rehabilitation device is simple in structure and convenient to operate, can be used for children with different heights, facilitates adjustment of exercise intensity, and facilitates massage nursing of legs after exercise.

The invention discloses a tension exercise rehabilitation device for the department of burns. The tension exercise rehabilitation device comprises a bottom plate, a support rod, a slide rail, a slider, a motor, a lead screw, a support plate, a fixing sleeve, first spring, a sliding plate, a metal sensor, a bolt, a sensing block, a pull rope and a pull ring. The tension exercise rehabilitation device for the department of burns is ingenious in structure and simple to operate and has powerful functions, with the application of the device, limbs of a patient can be subjected to effective tensionexercise, rehabilitation progress of the patient is improved, tension exercise intensity of the device can also be adjusted, so that the device realizes targeted exercise effect for different patients, demands of the different patients for exercise rehabilitation are met, and clinical practicability is improved.

The invention discloses an exercise scheme generation system based on multi-information. The exercise scheme generation system is characterized by comprising a remote service platform, a health sign testing module, an exercise capacity testing module, an exercise target reasoning module and an intelligent fitness equipment module, wherein the remote service platform is composed of a questionnaire unit, an exercise target reasoning unit and an exercise scheme generation unit. The questionnaire unit is used for collecting user health information. The health sign testing module is used for collecting test index data of health signs of a user. The exercise capacity testing module is used for collecting the test index data of the exercise capacity of the user. The exercise target reasoning unit reasons according to the multi-information and obtains an exercise target of the user. The exercise target generation unit is used for generating an exercise scheme composed of sport events, exercise duration, exercise frequency, exercise intensity and whether medical supervision is required to be provided for the intelligent fitness equipment module for execution. The exercise scheme generation system can guide the user to perform scientific, coherent, systematic and safe fitness.

A rehabilitation coaching method and a rehabilitation coaching system are provided. The method includes setting an exercise rhythm according to personalized exercise rhythm data for the user, and outputting the exercise rhythm to coach the user to do a rehabilitation exercise. The method also includes obtaining a total oxygen consumption rate according to the profile of the user, the time of doing the rehabilitation exercise and the exercise rhythm, and obtaining an exercise intensity according to the resting heart rate of the user and an average heart rate of the user during the rehabilitation exercise. The method further includes obtaining a recommended exercise rhythm according to the exercise intensity and the total oxygen consumption rate, and updating the personalized exercise rhythm data for the user according to the recommended exercise rhythm.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

The invention discloses a post-earthquake debris flow risk evaluation method based on object source activity intensity, and belongs to the field of debris flow prevention and treatment engineering. The method is characterized by comprising the following steps of A carrying out the activity intensity grading; B calculating a probability comprehensive discrimination value F of different grading conditions of the evaluation factor under each activity intensity condition; C determining the weight Wi of each class of factors and the weight value Kj of each level of activity intensity on the area; Dconstructing a danger model of the object source body under each activity intensity condition through weighted superposition calculation; and E calculating a total danger value of the area, and dividing the total danger value into five grades. According to the invention, the activity intensity of the multi-stage debris flow source body is introduced into the evaluation model through a probabilitycomprehensive discrimination method; and the terrain hydrological factors are considered in combination with the analytic hierarchy process, and a post-earthquake debris flow risk evaluation result in each period is obtained through comprehensive weighted superposition, so that the accuracy of risk evaluation of the debris flow in the earthquake region can be effectively improved, and a more powerful basis is provided for prediction and prevention of post-earthquake debris flow disasters.

The invention discloses a GOP layer ratio control and adjustment method and system based on exercise intensity. The complex rate of the method is expressed through the exercise intensity of a GOP, the code rate allocation of a GOP layer is adjusted by utilizing the exercise intensity, an encoder can further adjust the code rate allocation of the GOP layer according to the complex rate of a coding sheet source, and therefore optimization of coding performance is achieved. In addition, scene detection variables are set to control effectiveness during frequent scene change periods, and therefore performance improvement and control over calculation amount can be optimized.