51results about "Ergometry" patented technology

The invention relates to a method for calculating the change in the anaerobic energy balance ΔW(t) of an athlete over a time interval ∆t. The method comprises the following steps: determining the power output P(t) of the athlete during the time interval ∆t; determining the athlete's critical power CP(t) at time t, calculated from historical power output data P(t) collected during the athlete's sporting activities; and calculating the change in the anaerobic energy balance ΔW(t) according to the formula: ∆W(t) = (CP(t) - P(t)) × v(t) × ∆t, where v(t) is the energy flux rate. Abstract figure: Figure 2

Aspects relate to systems, methods, and apparatuses relating 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.

Systems and methods are described for using such signals detected by neuromuscular-signal sensors of a wearable electronic device when a user is performing an activity. Methods are described for adaptively adjusting a rate of physical activity performed by a user while the user is wearing the wearable electronic device. An example method includes operations for using one or more sensors located at a wearable electronic device in conjunction with detecting that the user is performing a physical activity at a particular activity rate: (i) detecting, using a neuromuscular-signal sensor located at the wearable electronic device, a level of exertion of the user, and (ii) based on a determination that the level of exertion is different than a baseline level of exertion by at least a threshold amount, determining an adjustment to the particular activity rate while the user is performing the physical activity.

This application relates to the field of cardiopulmonary testing technology, and in particular to a cardiopulmonary endurance testing system and method based on a power bicycle. The method includes: acquiring basic information about the test subject; analyzing the basic information to determine the test subject's testing mode; acquiring real-time cycling video; analyzing the real-time cycling video to determine cycling operations; and determining a cycling adjustment plan based on the real-time cycling video and the cycling operations. By acquiring and analyzing the test subject's basic information, a testing mode suitable for the individual's physical fitness level and exercise intensity can be customized, improving the relevance and effectiveness of the test. The analysis of the real-time cycling video can provide immediate feedback on the test subject's exercise status, helping the test subject to adjust their posture in a timely manner and avoid incorrect movements and excessive fatigue.

The invention relates to the technical field of mechanical arm control methods, and discloses a muscle force evaluation and self-adaptive control method for a household remote control upper limb intelligent rehabilitation mechanical arm, which comprises the following steps: initializing a system, guiding the first elbow flexion by voice, and judging the anti-gravity capability according to an elbow joint flexion angle. Secondary elbow bending is carried out after different reverse resistances are applied, the resistance resistance is judged according to the elbow joint bending angle, a scale is converted into clinical muscle force classification, a main control board calculates self-adaptive traction force and realizes closed-loop control, meanwhile, whole-course data are uploaded to a cloud side, and remote terminal monitoring and parameter adjustment are supported; according to the invention, the evaluation logic conforms to the clinical standard, the detection precision is high, the system integration level is good, quantitative muscle force evaluation, individualized adaptive training and remote professional supervision can be realized, the system is suitable for household upper limb rehabilitation of stroke, nerve injury and postoperative patients, and the technical problems of inaccurate evaluation, fixed control and lack of remote management of existing equipment are effectively solved.

A computer-implemented system includes a treatment apparatus configured to be manipulated by a patient while performing a treatment plan and a server computing device configured to execute an artificial intelligence engine to generate the treatment plan and a billing sequence associated with the treatment plan. The server computing device receives information pertaining to the patient, generates, based on the information, the treatment plan including instructions for the patient to follow, and receives a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The server computing device generates, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The server computing device transmits the treatment plan and the billing sequence to a computing device.

Example embodiments relate to a computer-implemented method for determining endurance performance of a subject based on sensor measurements; the computer-implemented method comprising: obtaining (201) workload data measured by at least one workload sensor, comprising a time series (212) of the workload exerted by the subject during one or more physical activities; obtaining (202) heart rate data measured by at least one heart rate sensor, comprising a time series (211) of the heart rate of the subject during the one or more physical activities; selecting (203) time intervals (213 - 219) within the workload data and the heart rate data based on a set of selection criteria (204); for the respective time intervals (213 - 219), determining (205) an average workload (207) and, for a final portion of the respective time intervals (213 - 219), determining (205) an average heart rate (206); and determining (208) at least a portion of a workload-heart rate relationship (221), indicative for the endurance performance of the subject, by fitting a linear equation (224) to the average workloads and the average heart rates (230) of the respective time intervals (213 - 219).

Training system (1) for users (21) of a respiratory protective device (5) comprising a control unit (3) and at least one training device (2a, 2b, 2c) for the physical exertion of the user (21), wherein the control unit (3) includes a communication module (4) configured to receive a breathing air consumption value (A) detectable by a respiratory protective device (5) and a stress value (B1, B2, B3) detectable by the at least one training device (2a, 2b, 2c), wherein the stress value (B1, B2, B3) includes information about work performed by the user (21) on the at least one training device (2a, 2b, 2c), and wherein the control unit (3) is configured to determine a training status based on the breathing air consumption value (A) and the stress value (B1, B2, B3) and to generate an output signal (S) which The invention includes information about the training status. Furthermore, the invention relates to a training system 20, a method, and a computer program product.

The invention discloses neural rehabilitation limb movement guiding equipment based on bioelectricity signal feedback, and relates to the technical field of limb movement guiding equipment.The neural rehabilitation limb movement guiding equipment comprises a supporting frame, and two foot strength detection devices and two fixed detection devices are fixedly installed on the left side of the supporting frame. According to the neurological rehabilitation limb movement guiding equipment based on bioelectricity signal feedback, by arranging the foot strength detection device, the fixing detection device and the stress detection device, auxiliary movement is conducted on the feet, the legs and the upper limbs of a patient, multiple functions are integrated, whole-body movement and rehabilitation of the patient are facilitated, and the function and performance of the equipment are improved; through the arranged display screen, the strength and the movement degree of each action of the patient are fed back in real time, the patient is reminded of the movement posture and strength in time, normalization and standardization of each action of the patient are facilitated, the limb movement effect of the patient is improved, and then the rehabilitation effect is improved.

Disclosed are an electronic device providing a strength training guide and an operating method thereof. A wearable electronic device may comprise a biometric sensor including at least one light emitter and at least one light receiver. The wearable electronic device may, while an application related to strength training is running, acquire biometric data related to a user's blood flow via the biometric sensor, and identify a change in the user's grip strength on the basis of a change in blood flow appearing in the biometric data due to strength training performed by the user. The wearable electronic device may generate training information related to the strength training on the basis of a result of the identification, and provide the generated training information to the user. Various embodiments identified through the present document are also possible.

The present disclosure contains embodiments of an apparatus, system and method designed to facilitate learning or efficient multitasking involving movement and solar energy where users' movement devices process or respond to different stimuli to facilitate users moving while learning, working, or participating in a simulation. In some embodiments this may be accomplished with the aid of a circular treadmill, spherical walkway, or combinable modular trackpads that may be linked to allow a user to lay the apparatus in a path suited for a plurality of environments. The embodiments of the disclosure involve the user moving while processing information and receiving feedback, assistance related to that movement, processing, or any combination thereof while combining the motion of the movement device with the feedback loop sent from sensor relays a user may receive an optimal experience for learning while moving. Some embodiments make efficient use of solar energy for classroom education management.

This method for estimating a trajectory, over a displacement interval, of a point of interest belonging to a limb of an individual comprises estimating (1320) the evolution, during the displacement interval, of a speed of a measurement point integral with the point of interest, estimating (1310) the evolution of an orientation of the measurement point during the displacement interval, and estimating the trajectory of the point of interest during the displacement interval from the estimated speed and orientation of the measurement point.

The proposed solution relates in particular to a drive unit for an electric bicycle (1), which is actuated by muscle power and generates a drive torque (M L , M R ), a bottom bracket shaft (T) with two shaft ends that generates a driving torque (M L , M R ) and to the output member, and control electronics (SE) for controlling the level of the assist torque, through which the user can separately specify the level of assist torque for the left leg and the right leg.

A system and method for dual-task neurological therapy using a combination of primary and secondary tasks to facilitate neurogenesis and neuroplasticity in targeted regions of the brain using computer-enhanced dual-task analysis and treatment. The system and method involve having a subject engage in primary and secondary tasks at levels of intensity or stress associated with increased neurogenesis and neuroplasticity. In some embodiments, novel secondary tasks are selected to vary the tasks to help with neurogenesis and neuroplasticity, novel content for the secondary tasks are generated by a generative AI model, adjustments are made to the tasks during performance using a feedback mechanism to adjust for the abilities and performance of the patient, and empathetic feedback is generated by a generative AI model and provided to the patient during performance of tasks.

Methods, apparatus and systems for providing Neuro-Modulation Therapy are described in which a user is instructed to perform multiple exercises involving a target musculoskeletal joint. A target force level is displayed to the user who is instructed to match the target whilst performing the exercise. The exercise may be repeated actions involving the target joint such that the target is a sinusoid like curve. In some exercises part of the curve is suppressed or hidden for at least a portion of the exercise requiring the user to estimate the amount of force required to achieve the (hidden) target level. The actual force is measured and compared with the target, and feedback on the deviation between target and actual force is provided to the user. Over a series of sessions the amount of suppression and complexity of suppression may also be increased over time.

The invention relates to the technical field of joint rehabilitation, in particular to a joint rehabilitation bicycle and a joint rehabilitation method.The joint rehabilitation bicycle comprises a frame; a handlebar; a stool; two groups of crank assemblies; a touch screen; the power device and the active feedback system are arranged on the frame, the control system comprises a data acquisition system, a cloud platform and a controller, and the touch screen, the power device, the active feedback system, the data acquisition system, the cloud platform, the crank assembly and the seat are in communication connection with the controller. In the training process of a patient, the patient can collect and mark pain data of the patient through the active feedback system and gradually adjust parameters of the power device and setting parameters of the bicycle, the progressive principle can be followed, the operation difficulty of the bicycle and dependence on medical staff are reduced, and the patient can bear pain but achieve a high rehabilitation effect.

The application discloses a mouse muscle strength testing device and method, and belongs to the technical field of animal physiology function detection; the device comprises a box body, a turnover assembly, a lifting assembly and a force measuring assembly; the box body comprises a plurality of testing chambers which are spaced apart from each other; the turnover assembly comprises grid plates which can be turned by 180 degrees and rotating members; the grid plates are arranged in the testing chambers respectively; each grid plate is rotationally connected with the box body through a rotating member; the lifting assembly is arranged opposite to the grid plate; the lifting assembly comprises mouse clothes for binding mice and a pulling member capable of adjusting the pulling force; the pulling member is vertically arranged and fixedly connected with the mouse clothes; the force measuring assembly comprises a force measuring matrix; the force measuring matrix is arranged between the rotating member and the box body; the force measuring matrix can measure the force change of the rotating member; and the force measuring matrix is electrically connected with a processor and a timer. The gravity type sensing system can be used for studying the muscle strength of mice under different pulling forces.

Methods and apparatuses for athletic training optimization are disclosed. In one example, a fitness level change is identified. In one example, a current training intensity is updated to reflect an updated user fitness level.

Training system (1) for users (21) of a respiratory protective device (5) comprising a control unit (3) and at least one training device (2a, 2b, 2c) for the physical exertion of the user (21), wherein the control unit (3) includes a communication module (4) configured to receive a breathing air consumption value (A) detectable by a respiratory protective device (5) and a stress value (B1, B2, B3) detectable by the at least one training device (2a, 2b, 2c), wherein the stress value (B1, B2, B3) includes information about work performed by the user (21) on the at least one training device (2a, 2b, 2c), and wherein the control unit (3) is configured to determine a training status based on the breathing air consumption value (A) and the stress value (B1, B2, B3) and to generate an output signal (S) which The invention includes information about the training status. Furthermore, the invention relates to a training system 20, a method, and a computer program product.

A wearable electronic device is provided. The wearable electronic device includes a biosensor including at least one light emitter and at least one light receiver, the biosensor being configured to sense blood flow of a user wearing the wearable electronic device, communication circuitry, an output interface, memory, comprising one or more storage media, storing instructions, and one or more processors communicatively coupled to the biosensor, the communication circuitry, the output interface, and the memory, wherein the instructions, when executed by the one or more processors individually or collectively, cause the wearable electronic device to obtain biometric data related to the blood flow of the user via the biosensor while an application related to a muscular exercise is executed, identify a grip strength change based on a change in the blood flow observed in the biometric data resulting from the muscular exercise performed by the user, create exercise information related to the muscular exercise based on the grip strength change, and provide the user with the exercise information via at least one of the communication circuitry or the output interface.

The present invention proposes a method of recommending exercise suitable for a user's real-time health condition based on an electrocardiogram. The method may include obtaining an electrocardiogram signal measured for a user, identifying the state of the cardiac pump of the user by analyzing the electrocardiogram signal using pre-trained artificial intelligence, and determining the type of exercise to be recommended to the user in accordance with the identified state of the cardiac pump. Through this, a user may receive a recommendation for exercise optimized for his or her current health condition simply by measuring his or her electrocardiogram.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

A method, system and computer program for predicting a VO2max measurement for a subject, the method comprising: collecting a heart rate recovery value, measured over a first period starting at the end of a fitness test exercise completed by the subject, wherein the fitness test exercise comprises a plurality of phases, each phase having a predetermined duration and each phase being associated with a respective heart rate band, and during each phase, the subject adjusts their effort to maintain their heart rate in the respective heart rate band, and calculating a predicted V02max measurement using the heart rate recovery value.

The present invention provides a system and method providing a self-contained, regenerative main power source located within a stator section of an electromechanical motor converting physical energy into electrical energy and applying it to the power source to recharge the power source.

The invention relates to a mandible biomechanical testing device and method, and belongs to the technical field of medical engineering.The mandible biomechanical testing device comprises a metal frame, a mandible testing area, a servo motor and pulleys; the mandible model used for simulating the mechanical characteristics of real bones is located in the mandible test area, and a masticatory muscle attachment area of the mandible model is provided with a muscle simulation structure to simulate the traction effect of masticatory muscles. The rigid rope is connected with the muscle simulation structure and then connected with a servo motor used for adjusting muscle force through a pulley used for adjusting the muscle traction direction, a condylar process fixing device is arranged at the position, corresponding to a condylar process, of the lower jawbone model so as to simulate the function of a fulcrum of chewing movement of the lower jawbone, and a loading column is arranged above the lower jawbone model. The muscle simulation structure and the loading column are provided with mechanical sensors to monitor muscle force and occlusal force in real time. The method is beneficial to providing an accurate biomechanical insight of mandible reconstruction for an oral clinician, and further optimizing a reconstruction scheme to improve the reconstruction prognosis of a patient.

Systems and methods for positioning one or more sensors on a user. The system has user sensors, apparatus sensors, and treatment sensors. A processing device, executing computer readable instructions stored in a memory, cause the processing device to: generate an enhanced environment representative of an environment; receive apparatus data representative of a location of the apparatus in the environment; generate an apparatus avatar in the enhanced environment; receive user data representative of a location of the user in the environment; generate a user avatar in the enhanced environment; receive treatment data representative of one or more locations of the treatment sensors in the environment; generate, treatment sensor avatars in the enhanced environment; calculate a treatment location for each treatment sensor, wherein the treatment location is associated with an anatomical structure of a user; and generate instruction data representing an instruction for positioning the treatment sensors at the treatment location.

The application provides a system for evaluating the lower limb strength and walking gait of a patient, and relates to the technical field of gait evaluation, comprising a data acquisition module, a synchronous control module and a data processing and analysis module. The data acquisition module comprises an isokinetic muscle strength test unit, a surface electromyography signal acquisition unit and an optical motion capture unit; the synchronous control module is in communication connection with the data acquisition module; the data processing and analysis module is configured to: receive and time-align lower limb muscle strength data, lower limb muscle electrophysiological data and lower limb kinematic data; extract lower limb strength indicators, electromyographic activity indicators and gait parameters from the aligned data; based on the extracted indicators and parameters, establish a correlation model between the lower limb strength indicators, the electromyographic activity indicators and the gait parameters, and output an evaluation result. The application can produce significant effects from data islands to correlation fusion, from subjective experience to objective quantification, and from describing phenomena to revealing causes.

The invention provides a system for evaluating lower limb strength and walking gait influence of a patient, which relates to the technical field of gait evaluation and comprises a data acquisition module, a synchronous control module and a data processing and analyzing module. The data acquisition module comprises a constant-speed muscle force test unit, a surface electromyogram signal acquisition unit and an optical motion capture unit; the synchronous control module is in communication connection with the data acquisition module; the data processing and analyzing module is configured to receive and time align the lower limb muscle strength data, the lower limb muscle electrophysiological data and the lower limb kinematics data; extracting a lower limb strength index, a myoelectricity activity index and a gait parameter from the aligned data; and based on the extracted indexes and parameters, establishing a correlation model among the lower limb strength indexes, the myoelectricity activity indexes and the gait parameters, and outputting an evaluation result. The method can generate remarkable effects from data islands to association fusion, from subjective experience to objective quantification, and from phenomenon description to pathogenesis revelation.