100results about "Ergometry" patented technology

The invention discloses a control method, system and equipment of a remote rehabilitation robot, a medium and a product, and belongs to the technical field of robots. The method comprises the steps of obtaining multi-modal data of a patient end, obtaining a time delay prediction value through prediction of a long short-term memory network model, dynamically adjusting admittance parameters of an admittance model according to the multi-modal data and the time delay prediction value, and finally controlling the remote rehabilitation robot according to the dynamically adjusted admittance parameters. According to the method, the admittance parameters of the admittance model are dynamically adjusted in real time based on the time delay predicted value predicted by the long-short-term memory network model and the electromyographic signals of the patient in the multi-modal number, dual adaptation of the network state and the physiological features of the patient is achieved, the admittance parameters are dynamically adjusted through the electromyographic signals, and the change requirement of the complete rehabilitation cycle of the patient is met; admittance parameters are dynamically adjusted through the time delay prediction value reflecting the network time delay state, and the time delay disturbance requirement in the remote communication environment is met.

The invention relates to the technical field of spine correction, in particular to a spine correction traction force control method and system, and the safety, effectiveness and intelligent level of spine correction treatment are improved. The method comprises the following steps: dividing a spine into at least three sub-regions according to an anatomical structure of the spine; the at least three sub-regions comprise a cervical vertebra region, a thoracic vertebra region and a lumbar vertebra region; performing biomechanical data acquisition on each sub-region to obtain a spine state feature set corresponding to each sub-region; the spine state feature set at least comprises a pressure distribution feature, a bending angle feature and a muscle tension feature; for different sub-regions, inputting the spine state feature set into a corresponding spine correction state evaluation model to obtain a spine correction state score of each sub-region; the anatomical structure and functional importance of the spine are considered, and the comprehensive influence weight of each sub-region is obtained from a preset weight database;

The invention discloses a multi-modal fusion muscular tension dynamic assessment method and system, relates to the technical field of biological dynamic assessment, and is used for solving the problem that muscle activity grade classification errors are increased due to dependence on single surface myoelectricity or joint angle sensor data. Joint angle variation, resistance variation and force feedback intensity are extracted, an evaluation mechanism is constructed in combination with region division and historical threshold values, and muscle activity evaluation levels are calculated; and comparing a preset threshold value to identify a flexibility level, entering a resistance evaluation mechanism when a condition is met, analyzing a muscular tension change trend in resistance data, completing dynamic refined judgment of a flexible state, realizing staged, regionalized and trended fusion evaluation, and improving muscular tension state identification and flexibility level judgment precision.

Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.

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.

The invention belongs to the technical field of physical fitness detection, and discloses a riding exercise multi-dimensional physical fitness detection machine and a detection method thereof.The riding exercise multi-dimensional physical fitness detection machine comprises a support, a bicycle body fixed to the top of the support, and a physical fitness detection mechanism arranged on the bicycle body, an adjustable supporting rod and a supporting sleeve are fixedly arranged on a cross beam of the bicycle body, a telescopic hose is fixedly connected to the top of the adjustable supporting rod, and a communicated detection cover is fixedly arranged at one end of the telescopic hose. According to the invention, through the cooperation of the detection cover and the telescopic hose, during physical fitness detection, the detection cover is worn to realize the collection and detection of inhaled and exhaled gases, the oxygen consumption and carbon dioxide output in the exercise process are calculated, the respiratory quotient calculation is completed, and the evaluation of aerobic exercise ability is comprehensively realized; the physical fitness detection range is expanded, and more comprehensive physical fitness detection data are obtained.

The invention relates to the technical field of rehabilitation medicine, and discloses an array type pneumatic contact lower limb movement function identification and evaluation device which comprises a base, an adjustable seat is arranged at the top of the base, a fixed seat is fixedly connected to the top of the base, an auxiliary mechanism is arranged at the top of the fixed seat, an identification mechanism is arranged at the top of the base, and a pneumatic contact is arranged at the top of the identification mechanism. The identification mechanism comprises mounting boxes, the bottoms of the two mounting boxes are fixedly connected to the top of the base, follow-up assemblies are arranged in the mounting boxes, the other ends of the follow-up assemblies are rotationally connected with fixing rings, hook-and-loop fasteners are arranged at the two ends of the fixing rings, and a plurality of air cylinders are fixedly connected to the interiors of the fixing rings. According to the invention, through the design of the array type pneumatic contacts, the detection precision is improved, errors caused by looseness or missing detection of the contacts are avoided, and making of a personalized rehabilitation scheme, such as targeted training for a patient with asymmetrical muscle strength, is supported.

A computer-implemented system for a remote examination is disclosed. The computer-implemented system includes a device and a control system. The device comprises one or more slave sensors and a slave pressure system, the device configured to be manipulated while a patient performs a treatment plan. The control system comprises one or more processing devices operatively coupled to a master device and the device. The one or more processing devices are configured to receive slave sensor data from the one or more slave sensors, use a manipulation of the master device to generate a manipulation instruction, transmit the manipulation instruction, and use the manipulation instruction to cause the slave pressure system to activate.

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.

A fatigue measurement method includes obtaining a face video of a target object, processing the facial video to obtain a plurality of quasi-heart rates and a plurality of quasi-vibration frequencies, selecting a target heart rate from the plurality of quasi-heart rates and a target vibration frequency from the plurality of quasi-vibration frequencies, detecting the target heart rate and the target vibration frequency, and determining, according to the detection result, that the target object is in a fatigue state. The quasi-heart is obtained through one or more of a region of interest (ROI) between eyebrows and an ROI of chin, and the quasi-vibration frequency obtained through one or more of an ROI of eyes and an ROI of mouth.

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.

The invention relates to a training device (1) having a measurement system for detecting the performance accomplished by a person undertaking training and having a control system with an input channel for detecting a load value 0 and with an output channel for specifying the performance to be accomplished, wherein the control system is configured to carry out a method comprising the following steps: a) specifying an initial load value, b) detecting the value of the performance accomplished when the initial load value is reached, c) transferring the value of the performance accomplished via the input channel, d) calculating the performance to be accomplished for a training load value depending on a scale for physical load perception and outputting same via the output channel.

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 relates to an orthopedic lower limb load monitoring tool, which belongs to the technical field of medical instruments and comprises a base, two barrels, two support plates and two elastic parts, the two barrels are vertically and fixedly arranged on the base respectively, the two support plates are horizontally arranged in the barrels respectively and slidably connected with the barrels along the vertical direction, and the two elastic parts are arranged in the barrels respectively to drive the support plates to move upwards. The two sliding rods are horizontally arranged on the supporting plate, a plurality of first sliding grooves are horizontally formed in the inner walls of the two sides, close to the ends of the sliding rods, of the barrel body at equal intervals in the vertical direction, the two ends of the sliding rods stretch into the first sliding grooves, and the two pressure monitoring elements are arranged at the bottom of the inner side of the barrel body. The lower limbs of the patient bear the same pressure for a certain period of time, a pressure monitoring element is used for collecting the bounce force of an elastic piece, when the lower limbs of the patient feel pain, the load value of the lower limbs of the patient is obtained, and the accuracy of load monitoring of the lower limbs of the patient is improved.

The present inventions, in one aspect, are directed to systems and circuitry for and / or methods of establishing communication having one or more pairing facilitator-intermediary devices (for example, a network connected server) to enable or facilitate pairing and / or registering at least two devices (e.g., (i) a portable biometric monitoring device and (ii) a smartphone, laptop and / or tablet) to, for example, recognize, interact and / or enable interoperability between such devices. The pairing facilitator-intermediary device may responsively communicates information to one or more of the devices (to be paired or registered) which, in response, enable or facilitate such devices to pair or register. The present inventions may be advantageous where one or both of the devices to be paired or registered is / are not configured (e.g., include a user interface or certain communication circuitry that is configured or includes functionality) to pair devices without use of a facilitator-intermediary device.

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.

The invention relates to the technical field of rehabilitation training, in particular to a novel paralytic lower limb auxiliary rehabilitation brace which comprises a leg supporting assembly, a foot supporting assembly, an ankle pump driving assembly, a leg circumference monitoring assembly, an air pressure massage assembly and a control module. The foot supporting assembly is used for supporting the feet of a user; the ankle pump driving assembly is used for driving the foot supporting assembly to rotate relative to the leg supporting assembly; the leg circumference monitoring assembly is used for monitoring muscle circumference information of legs of a user; the air pressure massage assembly is used for conducting air pressure massage on the legs of the user. The ankle pump driving assembly, the air pressure massage assembly and the leg circumference monitoring assembly are all electrically connected with the control module, and the control module is used for controlling and adjusting the air pressure massage assembly according to muscle circumference information monitored by the leg circumference monitoring assembly. The rehabilitation brace can well fix the lower limbs, prevent complications, assist treatment and promote muscle strength recovery of the lower limbs.

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.

A method for determining values of metabolic parameters of a user when performing physical activity on an exercise machine, comprises: acquiring a thermographic image of at least one portion of the body of the user when performing physical activity, identifying, within the acquired at least one thermographic image, a first thermographic portion of the body surface of the user; for said identified first thermographic portion, determining at least one group of thermal features representative of the identified first thermographic portion; estimating by executing a respective estimation algorithm based on a trained regression model, and providing values of metabolic parameters of the user when performing physical activity based on said at least one determined group of thermal features representative of said identified first thermographic portion, the values of metabolic parameters of the user comprising at least one of: value of oxygen volume; value of carbon dioxide volume; value of respiratory quotient.

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 invention relates to the technical field of medical care, and discloses a pressure detection device for evaluating male pelvic floor muscle strength, the pressure detection device comprises a detection rod composed of an end head and an end rod, one side, facing the interior of the end head, of a first balloon is fixedly connected with an air delivery catheter, and the inner side of a sliding groove seat is rotatably connected with a threaded lead screw; a piezoelectric plate is arranged on the inner side of the balloon barrel, a strain gauge layer is laid on the outer side of the second balloon, and an electrode plate is fixedly installed on the inner side of the first balloon. According to the pressure detection device for evaluating the male pelvic floor muscle strength, a gear rotating rod is driven by a micro motor to adjust the fitting degree of a supporting arc piece and the internal skin of the rectum, it is guaranteed that the first balloon is stably wrapped by the skin of the rectum, the pressure data detection precision is improved, the end is wrapped by an inner cavity of the rectum, and a patient contracts rectum muscle groups to extrude the first balloon; the muscle strength is measured, and a myoelectricity detector is externally connected through a wire holder and a cable, so that myoelectricity and muscle strength data collection is completed.

The invention discloses a muscle fatigue quantification and prediction method based on output power and residual energy, and belongs to the technical field of sports sciences, and the method comprises the following steps: S1, selecting upper limb motion information and a surface electromyogram signal sEMG of biceps brachii muscle in the bending and lifting process of a single-arm dumbbell as analysis objects, calculating the output power of the biceps brachii muscle in the movement process based on a Hill muscle mechanical model, and analyzing the change rule of the muscle output power in the muscle fatigue aggravation process according to the change condition of the muscle output power and the subjectively judged muscle fatigue degree; s2, constructing an improved CP model adaptive to the current physiological state; and S3, a muscle fatigue degree quantification and prediction model is constructed, accurate positioning of the muscle moderate fatigue stage is achieved, the effectiveness and feasibility of the muscle fatigue degree quantification and prediction model are verified in the dumbbell single arm bending and lifting experiment, the muscle fatigue state can be accurately described, and accurate quantification of the muscle fatigue state is achieved.

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 computer-implemented system includes a treatment device configured to be manipulated by a user while the user performs a treatment plan, a patient interface, and a computing device configured to: receive treatment; write to an associated memory, configured to be accessed by an artificial intelligence engine, treatment data, the artificial intelligence engine being configured to use at least one machine learning model to, using the treatment data, generate at least one of a treatment scheduling output prediction and an appointment output; receive, from the artificial intelligence engine, the at least one of the treatment scheduling output prediction and the appointment output; and selectively modify, using the at least one of the treatment scheduling output prediction and the appointment output, the at least one aspect of the treatment plan.