29results 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

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.

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.

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.

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.

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 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.

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 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.

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.

Monitoring and evaluation method of muscle hemodynamic performance during a cyclical locomotor activity that includes the stages of provide one or more NIRS sensors, place the sensors on muscle tissues, provide a heart rate monitor and a locomotor intensity meter, obtain data relative to SmO2%, ThB, of each of the muscle tissues, heart rate (bpm) and locomotor intensity data, calculate the values of SmO2%, O2HHb and HHb, ΦO2HHb and ΦHHb, ThB and ΦThB, calculate the general trend line, calculate and obtain the physiological thresholds of each muscle tissue and the general thresholds, evaluate and / or compare the evolution and trend between two or more of the muscle tissues to determine the performance of the physiological sub-factors that make up the performance of muscle oxidative capacity and / or the delivery capacity of oxygen-charged and oxygen-discharged blood.

A method for determining information representative of a user's interaction with a surface of physical exercise of a treadmill is provided. The method, for each sampling time instants ti, with 1<i<N, of a plurality of subsequent sampling time instants t1, t2, . . . , tN, with positive integer N, involves detecting, by each load cell of a plurality of load cells, data representative of a respective local force vector value along a direction orthogonal to a portion of a surface of physical exercise of the treadmill at the load cell due to the user's interaction with the surface of physical exercise, and determining, by a data processing unit of the treadmill, information representative of a resulting force vector based on the data representative of the local force vectors detected by the plurality of load cells.

The invention discloses a 360-degree static core muscle group evaluation and training device, and relates to the technical field of static muscle evaluation and training devices, the 360-degree static core muscle group evaluation and training device comprises an upper surrounding rod and a two-hand binding assembly, and the periphery of the surface of the upper surrounding rod is connected with the two-hand binding assembly through a torsion spring shaft. According to the 360-degree static core muscle group evaluation and training device, a user applies force to each muscle along with angle change so as to keep self stability as much as possible, and when the human body cannot be stabilized, the two hands can release the chest frame grip at any time and grasp the upper surrounding rod, so that potential safety hazards caused by disorderly swinging due to stress reaction of the human body can be avoided.

This disclosure provides a method, apparatus, and system for providing neuromodulatory therapy. The user is instructed to perform a series of movements, including the movement of a target musculoskeletal joint. The user is then provided with a display of a target force level and instructed to match the target force level during the performance of the movements. The movements are repetitive motions involving the movement of a target joint. The target force level in the movement of the target joint is represented by a sinusoidal curve. In some movements, at least a portion of the curve (target force level) displayed to the user is occluded (i.e., not displayed). Therefore, the user needs to estimate the amount of force required to achieve the occluded target force level. The actual force is measured, compared to the target, and feedback is provided to the user regarding the deviation between the target and the actual force. The amount and complexity of the occluding of the curve over a series of sessions may be increased over time.

The invention relates to a method for determining an individual anaerobic threshold (61), the method comprising the steps of: a) Acquiring an input signal (10), comprising a respiratory activity signal of a subject (1) executing a physical exercise, b) Processing said input signal (10), comprising • A first processing stage (S1) during which an output signal (11) is determined (300) from the input signal (10), wherein the output signal (11) is indicative of a respiration and / or of a property of the respiration of the subject (1), • A second processing stage (S2) during which the individual anaerobic threshold (61) is determined from the output signal (11), the individual anaerobic threshold (61) being a time point during the physical exercise, or an associated value at this time point, characterized in that the processing of the input signal (10) comprises submitting (200) the input signal (10) to a machine learning module (20), wherein the machine learning module (20) comprises one or more trained neural networks (21), that execute the first and / or at least parts of the second processing stage (S1, S2).

A treadmill is provided which has a first supporting component of a surface of physical exercise of the treadmill and a second supporting component of the surface of physical exercise arranged on a first side of the surface of physical exercise and on a second side of the surface of physical exercise, respectively, parallel to a direction of longitudinal development of a base of the treadmill. The surface of physical exercise is mechanically connected to the first supporting component and to the second supporting component to slide along the direction of longitudinal development of the base of the treadmill. A plurality of load cells is arranged below the first supporting component of the surface of physical exercise and the second supporting component of the surface of physical exercise.

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).

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

A disorder detection system includes: a pair of left and right footrests configured so that left and right feet of a user are respectively placed thereon to perform an exercise of legs therewith; a pair of left and right slide mechanisms for enabling the footrests to slide in a front / rear direction with respect to a sitting part, the slide mechanisms including a resistance part for applying a resistance to the sliding; a moving mechanism for enabling the left and right slide mechanisms and the footrests to move independently of each other; an angle detection unit for detecting angles of joints of left and right lower legs of the user around a roll axis, a yaw axis, and a pitch axis; and a display unit for displaying the detected angles of the joints of the left and right lower legs of the user around the roll, yaw, and pitch axes.

The invention relates to the technical field of upper limb function recovery detection, and discloses an upper limb function recovery detection system which is characterized in that one end of a steel rope is connected with a handle, the other end of the steel rope is connected with a wheel, the wheel is connected with a tension conversion device, and the tension conversion device is used for collecting tension data in real time and is matched with a data collection module; the data acquisition module is used for transmitting acquired real-time data to the processing terminal; through a tension conversion device in the wheel, under the cooperation of a steel cable and a handle, accurate measurement of upper limb tension is achieved by collecting motion data in real time, recovery stage data of a patient is provided, the training intensity is dynamically adjusted, and the recovery efficiency is improved.