6432results about "Muscle exercising devices" patented technology

An exercise machine system includes a first vertical post; a first lever arm coupled to the first vertical post via a first carriage, the first lever arm is to be operated by a user; and the first carriage forming a channel to receive the first vertical post therein, the first carriage having a pivoting system allowing for the first lever arm to: (1) rotate around a vertical axis to adjust between a first position around the vertical axis and a second position around the vertical axis; (2) rotate around a horizontal axis to adjust between a first position around the horizontal axis and a second position around the horizontal axis; and (3) pivot about a vertical plane, the vertical plane is offset from and parallel to the vertical axis.

A wall-mounted fly wall rack, which can be installed on a wall, comprises a rack body, a pulley assembly and a counterweight mechanism arranged on the rack body, wherein the rack body comprises a fixed frame and at least two movable frames; an adjustable locking mechanism is arranged between the movable frames and the fixed frame and is horizontally rotatably connected in a limited angle range; the adjustable locking mechanism comprises a pivot arm and a fixed arm; the movable frame is connected with the pivot arm, and the fixed frame is connected with the fixed arm.

The invention discloses an intelligent orthopedic rehabilitation self-adaptive evaluation method and device based on multi-modal physiological feedback. The method comprises the steps that multi-modal physiological data including electromyographic signals, knee joint three-dimensional motion trails, plantar pressure distribution and cognitive input degree of a subject are synchronously collected; constructing a three-dimensional baseline vector according to the MMT muscle force test, knee joint ROM measurement and VAS pain score of the subject; inputting the multi-modal physiological data and the three-dimensional baseline vector into a personalized orthopedic rehabilitation model, and outputting a knee joint function index prediction value and personalized rehabilitation adjustment parameters; dynamically adjusting electrical stimulation parameters according to rehabilitation adjustment parameters output by the personalized orthopedic rehabilitation model; if the cognitive load index exceeds the early warning line, the electrical stimulation intensity is reduced; otherwise, activating the hippocampus body wave stimulation mode. Adjustment is carried out according to the real-time state of the subject, blindness and subjectivity in the rehabilitation process are avoided, and the rehabilitation efficiency and success rate are improved.

A foldable leg lift machine includes a base unit, a main handle unit, two drive levers, two pedals, and a linkage mechanism. The base unit includes a first stand, a second stand pivotally connected with the first stand, and two third stands pivotally connected with the first stand. The main handle unit is connected with the first stand and provided with a handgrip. Each of the drive levers is pivotally connected with one of the third stands. Each of the pedals is pivotally connected with one of the drive levers. The linkage mechanism includes a swing base pivotally mounted on the third stands, and two linkage rods each pivotally connected with the swing base and pivotally connected with one of the two drive levers.

The present disclosure provides a foldable small flying and squat rack, which comprises a fixed rack, a pivot rack and pulley blocks disposed on the fixed rack and the pivot rack, wherein the pivot rack can rotate relative to the fixed rack, a counterweight assembly is disposed at the lower part of the fixed rack, and a connecting rope is connected at the upper part of the counterweight assembly; the connecting rope winds around the pulley blocks on the fixed rack and the pivot rack in turn to extend out, and then passes through a flying guide wheel to be connected to a grip part.

A freewheel adjustable wheel of the present invention comprises: a rotary gear unit that is rotated by receiving power from a pedal part and is provided with a gear along the outer circumference thereof; a case part that supports the rotary gear unit to be rotatable; a clutch bearing that transmits the power to the case part when the rotary gear unit rotates in the forward direction; a clutch hub that rotates together with the rotary gear unit; clutch gears installed on the clutch hub and fixed to the case part; and a drive unit that supplies rotational power; and a moveable gear unit moved by means of the power of the driving unit.

The present disclosure relates to a device or apparatus for use in exercising and physical therapy. In particular, the present disclosure relates to a sliding exercise device and system useful for exercising multiple areas of the body. The present device is particularly useful for targeting the hips, thighs, core, upper body and associated muscles for strengthening and / or rehabilitation. The device can used by individuals seeking strength and balance training but is also useful for rehabilitation. The present device is also portable, making it useful for use at a home and / or at a gym or rehabilitation facility.

The present invention relates to an exercising device for developing, strengthening and / or rehabilitating the muscles or joints of the body by working against a counterforce. More particularly, this invention relates to a portable electric resistance exercise device capable of performing multiple exercises for strength and endurance training.

The invention relates to a mechanical exoskeleton rehabilitation training system and method based on a brain-computer interface. The system comprises electroencephalogram acquisition equipment, a preprocessing unit, a feature extraction unit, a motion intention decoding unit, a mechanical exoskeleton control unit, a muscular tension state monitoring unit and a self-adaptive functional electrical stimulation feedback unit. The method comprises the following steps: preprocessing electroencephalogram and electromyographic signals; electroencephalogram and myoelectricity time-frequency features are obtained through feature extraction; an electroencephalogram decoding model is used for decoding to obtain the movement intention of the patient, and an exoskeleton control instruction is generated to control a mechanical exoskeleton control unit to drive the limb movement of the rehabilitation patient for rehabilitation training; meanwhile, the muscular tension state of the patient is analyzed according to the time-frequency characteristics of electroencephalogram and myoelectricity, functional electrical stimulation of different intensities is applied in a self-adaptive mode, stimulation feedback is enhanced, and the muscular tension state of the patient is adjusted. According to the invention, deep fusion of brain-controlled exoskeleton training and low-frequency nerve electrical stimulation adjustment can be realized, and the rehabilitation effect of a stroke patient is improved.

The invention relates to the technical field of biomedicine, and discloses a female private rehabilitation training system integrating a breathing method and neural motor control, and the system comprises a data collection module which is used for collecting physiological data of a user; the personalized training scheme generation module is used for generating a personalized nerve-muscle-fascia training scheme; the nerve-muscle synchronous resonance training module is used for constructing a time sequence matching model and generating an adaptive training dynamic control instruction; the space-time adaptability training module is used for adjusting training duration, intensity and stimulation frequency; the multi-dimensional nerve-muscle feedback fusion module is used for constructing a feedback response model; and the fascia synchronous activation and relaxation module is used for coordinating the tension relationship between the fascia and the muscle system. According to the method, feature matching is carried out on an electric activation heat map matrix through the convolutional neural network, analysis of a myoelectricity response state transition probability is carried out in combination with a hidden Markov model, and stimulation parameters and respiratory rhythm are optimized in real time according to a training process.

The present invention relates to a stair stepper, including: a rack provided with two slide rails, each of the slide rails is slidably provided with one pedal component, where the two pedal components form linkage in the form of reverse synchronous movement; and a damping mechanism, including a linear elastic element, where the linear elastic element is straddled between the two slide rails, two ends of the linear elastic element are respectively connected to the pedal components. The linear elastic element expands or contracts with the reverse synchronous movement of the pedal components, to form a changing elastic force, and the changing elastic force acts on the pedal components, to form resistance to the movement of the pedal components.

The invention relates to the technical field of medical rehabilitation, and particularly discloses an anorectal postoperative rehabilitation nursing evaluation method and system based on a sensor. According to the scheme, the system comprises a multi-source physiological information sensing module, a data preprocessing and feature extraction module, a multi-modal data fusion analysis module, a dynamic risk assessment and early warning module and a man-machine interaction and decision support module, multi-dimensional physiological signals are continuously collected, a rehabilitation state index is generated through fusion, the complication risk is assessed in real time, and the rehabilitation effect is improved. Early warning and accurate nursing decision support are realized, and comprehensiveness and timeliness of rehabilitation evaluation are improved.

A dynamic cable-actuated resistance training device comprises a base having first and second side pods at opposite ends of the base. A first motor is located in the first side pod and a first cable guide is located in the second side pod, with a first cable passing between the first motor and the first cable guide and being attachable to a workout handle or bar. A second motor is also located in the second side pod and a second cable guide is also located in the first side pod, with a second cable passing between the second motor and the second cable guide and being attachable to a workout handle or bar.

A mounting system for attachment exercise machine accessories wherein the mounting bracket is a separate piece that can be attached to the exercise machine prior to mounting of the accessory on the mounting bracket. The mounting bracket can be adapted to mount to existing exercise machines, and is easy to attach to an exercise machine separately from accessories to be mounted on it. The mounting bracket facilitates attachment of interchangeable accessories through a simplified mounting system that allows the user to keep both hands on the accessory during mounting. Play in the interface between the mounting bracket and accessory is taken up by a tensioning and locking device.

The invention relates to the technical field of medical treatment, in particular to a child fracture rehabilitation management system based on virtual reality, which comprises a multi-modal sensing and data acquisition module, an intelligent rehabilitation training module, a multi-dimensional evaluation and feedback module and a data intelligent analysis and prediction module, compared with the defects that an existing rehabilitation training technology mainly depends on subjective experience of doctors to formulate a static scheme and lacks multi-source data dynamic feedback, the method comprises the steps that firstly, a comprehensive and accurate patient ability portrait is constructed; intelligent dynamic adjustment of training parameters is realized by utilizing an LSTM gating mechanism, a forgetting gate filters invalid historical data, an input gate fuses real-time action quality evaluation, an output gate generates a personalized difficulty gradient, and a patient ability threshold is continuously memorized in combination with a cell state, so that a training scheme has an adaptive evolution ability, and the training efficiency is improved. The parameter adjustment period of a traditional rehabilitation scheme is compressed from a week level to a real-time level, the accuracy rate of risk prediction of muscle strain and the like is improved, and the utilization rate of effective training time is increased.

A folding mechanism for an armrest handle of a treadmill is provided, including: the armrest handle having left and right bottom ends that are configured to be connected to the treadmill; a rotational assembly, including: a connecting rod, a limiting member being provided on a left section of the connecting rod, and a diameter of the limiting member being greater than a diameter of the connecting rod; a rotation control plate, an arc-shaped sliding groove being disposed on the rotation control plate, one end of the sliding groove being provided with a limiting hole that is in communication with the sliding groove, a width of the sliding groove being greater than a width of the connecting rod and less than a width of the limiting member, and a diameter of the limiting hole being greater than the diameter of the limiting member.

The invention provides an intelligent wearable rehabilitation monitoring and evaluation device after anterior cruciate ligament injury, and relates to the technical field of exercise rehabilitation and intelligent medical monitoring, the device comprises a sensor acquisition module, a signal processing module, a compensation determination module, a difference determination module and an evaluation analysis module, a force-electricity coupling flexible sensor, an IMU and a pressure sensor, the method comprises the following steps: synchronously collecting a muscle force signal, a surface electromyogram signal, an attitude signal and a plantar pressure signal at the same position, performing dynamic filtering, confidence enhancement and personalized compensation processing, extracting a difference feature vector, inputting the difference feature vector into a muscle force prediction model, and outputting a quantitative evaluation result. The portable wearable long-term dynamic monitoring is realized, the core indexes of muscles, joints and gaits are covered in multiple dimensions, the assessment is accurate and real-time, the rehabilitation scheme can be optimized, the risk of re-injury is reduced, and the rehabilitation effect and compliance of a patient are improved.

An exercise machine, having: (a) a frame; (b) a pair of weight stacks connected to opposite sides of the frame; (c) a pair of vertically moveable pulley carriages connected to front portions of the frame; (d) a lifting bar assembly connected to a rear portion of the frame; (e) a pair of arm cables, wherein each of the arm cables are connected to one of the pulley carriages and pass around a first series of pulleys such that the weight stacks are lifted when the arm cables are pulled by a user through the pulley carriages; and (f) a pair of lifting bar cables respectively connected to a pair of vertically moveable bar mounts of the lifting bar assembly that pass around a second series of pulleys such that the weight stacks are lifted when a lifting bar of the lifting bar assembly is raised by the user.

Disclosed is a weighted vest including a first vest body, a second vest body, and two adjustment members. The first vest body is provided with a first weight member, and the second vest body is provided with a second weight member. At least a portion of each of the two adjustment members is disposed on the first vest body and the second vest body, and the two adjustment members are configured to connect the first vest body and the second vest body and adjust a relative position between the first vest body and the second vest body.

The invention discloses a preparation and measurement method of a polymer-based multi-point force flexible sensor for knee joint pose measurement, and relates to the technical field of polymer-based flexible sensors and soft measurement. The structure of the multi-point force polymer-based flexible sensor shaped like a Chinese character'ao 'is designed for knee joint stress and posture state measurement, and the flexible sensor is prepared and packaged through a silk-screen printing method. A flexible sensor strain input-output knee joint stress data mapping set and a flexible sensor strain input-pose angle output data mapping set required by modeling are completed through a flexible sensor, a thin film force sensor corresponding to multi-point force and an inertial sensor corresponding to pose angle measurement of installed multi-point force polymers. And establishing a neural network soft measurement model based on an MLP algorithm, and carrying out training and verification. And the knee joint pose angle with reliable precision and the maximum stress state of the knee joint are obtained. The sensor has the advantages of being flexible, thin, skin-friendly, high in sensitivity and stable in signal output.

An exercise bike according to the present disclosure comprises a base part being placed on an installation surface, a support frame part having a lower portion that is fixed to the base part and an upper portion that extends to an upper side of the base part and supports a handle and a seat, a disc part connecting to a rotation support shaft that passes through the support frame part, a pedal being detachably disposed at the disc part, a resistance adjusting part receiving a rotation of the disc part through a belt member, being supported by the support frame part and adjusting resistance at a time when the pedal is rotated by magnetic force, and a housing part being disposed at the upper side of the base part in a state.

An exercise system includes a base structure including a first cross brace including first cross brace mounting plates disposed at each end of the first cross brace. A pair of base guide rail supports is secured to and extended substantially orthogonal from the first cross brace and includes a pair of base guide rail receivers. A pair of base pulley supports is secured to and extended substantially orthogonal from the first cross brace and further includes a pulley-support pulley housing. A pair of pulley-support pulleys is rotatably secured to the pulley-support pulley housing. A second cross brace includes a central portion substantially parallel to the first cross brace. The central portion is secured to the pair of base guide rail supports and the pair of base pulley supports. Two end portions are disposed at an angle to the central portion and terminate at second cross brace mounting plates disposed at each end of the two end portions and two central-portion pulley housings. A central-portion pulley is rotatably secured to each of the two central-portion pulley housings.

An exercise device comprises a cable, an electromagnetic retraction mechanism for spooling the cable into the exercise device, the electromagnetic retraction mechanism including a shaft, a gear coupled to the shaft, a latch movable between an extended position in which it engages the gear to prevent rotation of the gear in one direction, and a retracted position in which the latch does not engage the gear, an actuator to move the latch to the retracted position when the actuator is powered on, and a spring to move the latch into the extended position when power to the actuator is removed.

The invention relates to the technical field of medical instruments, and discloses a minimally invasive surgery system based on artificial intelligence. Comprising a target identification and positioning module, a multi-mode sensing module, a self-adaptive control module, a man-machine interaction module and a scene adaptation module. The target recognition and positioning module positions an operation target in real time through image recognition and a deep learning algorithm; the multi-mode sensing module collects the stress and movement track of an instrument and physiological signals of a patient. The self-adaptive control module adjusts movement parameters of the instrument according to the data; the man-machine interaction module displays data and provides an operation interface; the scene adaptation module adjusts the instrument form and function according to the operation type. In addition, the system also comprises an operational stability evaluation module, an instrument life prediction module and a biological signal fusion module. The system can achieve precise positioning, real-time monitoring and intelligent control, and the precision, safety and operation convenience of minimally invasive surgery are improved.

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 discloses a fatigue driving detection method, system and device based on multi-modal feature fusion and a medium, and the method comprises the steps: obtaining the face image information of a driver, and extracting the eye feature data and mouth feature data of the driver; acquiring a brain wave signal of a driver, and extracting concentration feature data and relaxation feature data of the driver; acquiring a steering wheel grip strength signal of a driver, and extracting grip strength change feature data of the driver; performing feature fusion on the eye feature data, the mouth feature data, the concentration feature data, the relaxation feature data and the grip change feature data to obtain multi-modal feature data; and inputting the multi-modal characteristic data into a fatigue state detection model to obtain a fatigue degree detection value of the driver, and judging whether the driver is in fatigue driving or not according to the fatigue degree detection value. The fatigue driving detection accuracy and the driving safety of the user are improved, and the method can be applied to the technical field of vehicle monitoring.

A strength training machine includes a bracket and a pulling assembly. The pulling assembly includes a handle assembly and a counterweight device, an end of the bracket is formed with a cavity structure, and the counterweight device is arranged in the cavity structure, where the counterweight device includes a resistance adjusting assembly and a drive wheel, the handle assembly includes a pulling piece, a first end of the pulling piece is used to apply a pulling force, and a second end of the pulling piece is attached to the drive wheel, and the drive wheel rotates under the driving of the resistance adjusting assembly, so that the pulling piece is coiled on a wheel surface of the drive wheel while generating a counterweight pulling force, where a sliding assembly is arranged at one of a bottom or a side of the cavity structure.