526 results about "Prosthetic limb" patented technology

The invention is suitable for the technical field of medical instruments, and provides a pneumatic global self-adaptive ankle-foot artificial limb which comprises a rear sole and a front sole which are connected through a front and rear foot connecting piece. The pressure response assemblies are located at the bottoms of the rear sole and the front sole, and pressure changes after bearing; and the ankle self-adaption assembly is connected with the pressure response assembly through a valve communication assembly and drives the ankle to do eversion, centering and introversion motions based on pressure changes. According to the embodiment of the invention, an ankle joint inward and outward turning automatic adjusting mechanism directly driven by plantar pressure change can enable the artificial limb to adapt to complex terrains such as uneven road surfaces and lateral slopes in real time, an inward and outward turning motion mode of a physiological ankle joint in the walking process is simulated, and the gait of a user is smoother and more natural; the pure pneumatic control structure is relatively simple and light, and an external power supply pressure driving pump or a complex sensor is not needed.

The invention discloses an intelligent artificial limb movement intention recognition method based on multi-modal information and a D-S evidence theory, and belongs to the technical field of artificial intelligence, mode recognition and intelligent artificial limb control. According to the method, firstly, electromyographic signals and kinematics signals of user limbs and three-dimensional point cloud information of the terrain where the user limbs are located are synchronously collected; filtering, segmenting and time domain / frequency domain feature extraction are carried out on the physiological signals, rotation correction and dimension reduction are carried out on the environment point cloud, and a binary image is generated; using a deep learning model to identify a preliminary motion mode from the physiological features and identify a terrain category from the environment image; and finally, inputting the two recognition results as evidence bodies into an improved D-S evidence theory model for decision-level fusion, and outputting a final comprehensive motion intention recognition result. According to the method, the human physiological signal and the external environment information are fused, so that the ambiguity and uncertainty of single information source identification are effectively solved, and the intention identification accuracy and adaptability of the intelligent artificial limb in different complex scenes are remarkably improved.

A system for loading a delivery apparatus including a crimping device and a loading assembly. The crimping device having a housing including a funnel segment and an outlet in communication with the funnel segment, and an actuator configured to advance a radially expanded prosthetic device at least partially through the funnel segment and outlet thereby partially crimping the prosthetic device. The loading assembly including a support tube disposable over at least a portion of a capsule of a delivery apparatus, the loading assembly comprising an inlet end configured to be disposed adjacent the outlet of the crimping device such that the loading assembly can be axially advanced over the partially crimped prosthetic device to move the prosthetic device into a fully compressed configuration.

The application discloses an electro-hydraulic active ankle prosthesis and a walking method, relates to the technical field of prostheses and additive manufacturing technology, and discloses an electro-hydraulic active ankle prosthesis, which comprises a motor pump, a hydraulic cylinder, a hydraulic integrated block, an accumulator group and an integrated topology instep, wherein the motor pump, the hydraulic cylinder, the accumulator group and the integrated topology instep are all integrated on the hydraulic integrated block, the motor pump is used for charging the accumulator group, the motor pump and the accumulator group are both used for being connected with the hydraulic cylinder, and the hydraulic cylinder is used for being connected with the integrated topology instep. The electro-hydraulic active ankle prosthesis and the walking method have the advantages that the motor pump, the hydraulic cylinder, the accumulator group and the integrated topology instep are all integrated on the hydraulic integrated block, so that the overall volume and weight are reduced.

The invention relates to a control method of an artificial limb knee joint. According to the technical scheme, the control method comprises the steps that a heel pressure sensor signal Ph, a sole pressure sensor signal Pf and an inclination angle theta and an angular velocity omega output by a shank inertial measurement unit are obtained in real time; when it is detected that the Pf decline rate exceeds a preset multiple threshold value of the heel pressure decline rate, dynamically calibrating an inclination angle reference theta base and calculating an offset theta cal; dividing six stages of a gait period based on the theta < cal > and the pressure signal, and calculating period duration T; a step speed-damping mapping knowledge base is constructed, and the damping opening degree in the early stage of swing is optimized through iterative learning; finally, the adjusted U value is applied in the early stage of swinging, and fixed damping is kept in other stages. The method is mainly used for improving the walking naturalness and terrain adaptability of the artificial limb at different speeds.

Disclosed are prosthetic systems comprising a powered knee prosthesis and a volitional controller configured to provide control of the prosthesis to the user. The prosthetic system may be configured to enable a user to walk on smooth and / or uneven terrain and to ascend and / or descend stairs. The volitional controller may be configured in a contact state when the prosthesis is in contact with a ground surface and a no contact state when the prosthesis is lifted from the ground surface. When in the contact state, the controller may output a knee torque signal for controlling the powered knee of the prosthesis. The knee torque signal may be based on a target knee torque determined by the knee orientation and the torque measured at the ankle of a prosthetic foot. When in the no contact state, the controller may output a knee torque signal based on a desired knee position.

The invention provides a knee joint prosthesis and a lower limb prosthesis, and relates to the technical field of medical instruments. The knee joint prosthesis comprises a knee joint upper body, a knee joint lower body and a hydraulic rod; an offset rotating shaft is arranged on the knee joint upper body, one end of the hydraulic rod is pivoted in the knee joint lower body, and the other end of the hydraulic rod is pivoted with the offset rotating shaft, so that the knee joint upper body can drive the hydraulic rod to do telescopic motion when rotating relative to the knee joint lower body; the knee joint upper body is provided with a pivoting hole used for installing the pivoting shaft and a compression seam, the compression seam is located above the pivoting hole, the top of the knee joint upper body is provided with a connector used for being connected with the leg of a patient, and the knee joint upper body is provided with a first threaded connecting hole used for installing the connector. A locking hole is formed in the first threaded connecting hole, the locking hole penetrates through the compression seam to be communicated with the pivoting hole, a locking clamping column is arranged in the locking hole, and a locking piece used for limiting the locking clamping column is arranged at the top of the locking hole. The technical effect of improving the stability of the prosthesis is achieved.

The invention discloses a bionic ankle joint and an artificial limb, the bionic ankle joint comprises an ankle joint base and a sole mechanism, and the ankle joint base is used for being connected with a leg component; the sole mechanism comprises a front sole component, a rear sole component and at least one elastic piece, the rear sole component is rotationally connected with the ankle joint base, the front sole component is rotationally connected with the rear sole component, one end of the elastic piece is connected with the rear sole component, and the other end of the elastic piece is connected with the front sole component; the elastic component is used for providing elastic restoring force when the front sole component rotates relative to the rear sole component. The sole fitting degree is improved through multi-joint linkage, the gait stability is enhanced, the additional burden caused by uneven stress is avoided, energy recycling is achieved through the elastic piece, energy consumption is reduced, meanwhile, the pedaling effect is improved through elastic assistance in the pedaling stage, the motion characteristic of the bionic ankle joint is closer to the natural state of the human body, and the mechanical performance of the bionic ankle joint is improved. And the matching degree of equipment and human motion characteristics is improved.

The invention belongs to the field of intelligent prostheses, and particularly relates to an intelligent prosthetic control algorithm based on EMG electromyographic signals, which comprises the following steps: S1, electromyographic signal acquisition: acquiring the electromyographic signals of the forearm of a user through a multi-channel surface electromyographic sensor, the electromyographic signals being sEMG signals; s2, signal preprocessing; according to the time-frequency feature enhancement and mixed learning architecture, the system can realize more accurate and stable small sample gesture recognition, the processing capability and classification performance of the non-stationary electromyographic signals are remarkably improved, and in addition, due to the fact that deep features and discriminative manual features are fused and a lightweight network and a multi-modal decision mechanism are combined, the recognition efficiency of the non-stationary electromyographic signals is improved. A user can realize reliable and smooth gesture interaction in a low-delay and low-data-dependence embedded environment, and does not need to depend on a large amount of labeled data or complex computing resources, so that the whole method has higher adaptability and practicability.

The present application relates to an intelligent knee joint for human lower limb exoskeleton, prosthesis, or orthosis. The intelligent knee joint reproduces part or all of the biomechanical characteristics of the human knee joint by adopting a motor drive unit in combination with a controllable spring energy storage unit based on a magnetorheological damper, or adopts a controllable resistance unit in combination with a controllable elastic energy storage unit based on a magnetorheological damper, thereby helping the wearer to better reduce the burden of walking and regain or repair the walking function. The motor drive unit operates in generator mode and driver mode, and the energy recovery technology is used to reduce the power consumption of the intelligent knee joint and extend the working time of the device. In addition, the use of a controllable elastic energy storage unit based on a magnetorheological damper further reduces the energy consumption of the intelligent knee joint, while also simplifying the control difficulty of the knee joint.

The present disclosure describes self-adjusting sockets for lower limb prostheses in which each step transmits motion to a resilient resistive element coupled to an actuator configured to cycle between a rest position and an actuated position. The resistive element can transmit the motion to the actuator to cycle the actuator. Each cycle of the actuator acts through a mechanical linkage to tighten the socket around the residuum, until a desired threshold tightness on the residuum is reached. After the threshold tightness is reached, the resistive element yields and absorbs the motion rather than transmitting the motion, so that the actuator ceases to cycle on each step, preventing further tightening beyond the threshold.

The invention discloses a gesture recognition system and method based on multi-channel mixing of EMG, FMG and IMU. The system comprises a multi-channel signal acquisition module, a signal conditioning and synchronous acquisition circuit, a data preprocessing module, a deep neural network fusion recognition module and an output interface module. By integrating a surface electromyogram, a muscle force diagram and an inertial measurement unit, synchronous acquisition of multi-modal physiological signals of the forearm of a human body is realized; a double-flow convolution-time sequence attention fusion network (DCTANet) is adopted for feature extraction and classification decision making, and neuromuscular activity, muscle mechanical response and limb movement information are effectively fused. The accuracy, robustness and real-time performance of gesture recognition are improved, and the method is suitable for the fields of intelligent prostheses, wearable interaction, rehabilitation training and the like. The system is compact in structure, supports embedded deployment, and has a good practical prospect.

A prosthetic attachment system and corresponding lock assembly are provided for connecting a distal end of a prosthetic liner to a distal end of a prosthetic socket, by combining vacuum suspension and mechanical suspension. An attachment pin extends from a distal end of the prosthetic liner. A connector assembly secures to a distal end of the prosthetic socket and is adapted for receiving and locking to the attachment pin. A lanyard assembly has a first end secured to the connector assembly and a second end extending outwardly from the distal end of the prosthetic socket and adapted to secure to an exterior surface of the prosthetic socket by an external securing system.

The invention relates to an optimization method for coupling of an artificial limb and a residual limb based on digital twinning. Carrying out multi-modal data fusion on anatomical structure characteristics, functional attributes and stress distribution data of the skin, the soft tissue and the bone of the stump; building multi-layer digital stump relation modeling; defining a multi-scale contact space formed by a structure adaptation area, a force transmission area and an energy buffer area in the dynamic behavior of the residual limb and the artificial limb; simulating a shear force migration track, a stress concentration mode and soft tissue slippage response among micro-units of a coupling surface in dynamic interaction; constructing a physical partition relationship of the coordination domain, and assisting in optimizing an artificial limb interface structure and a material functional gradient; describing a minimally invasive area caused by wearing and using the artificial limb, and calculating a minimum tissue perturbation path; through deformation vector field analysis and thermal-mechanical coupling relation modeling, risk distribution of tissue fatigue induced by the prosthetic interface under long-time use is evaluated; and dynamic multi-scale coupling optimization and multi-objective optimization control are carried out to realize visual prediction and early warning of fatigue risks.

A system and method for a prosthetic assembly that includes a first prosthetic component, comprising a prosthetic hand base; a set of second prosthetic components, comprising a set of prosthetic fingers, and a set of actuating systems, wherein one actuating system connects a pair of distinct prosthetic components, enabling actuation of one prosthetic component with respect to the other. Each actuating system, from the set of actuating systems, includes a linkage and a sensored brushless motor; wherein the sensored brushless motor comprises a brushless motor, a field oriented control system, a rotary encoder, and a gearbox.

The invention relates to a 4D printing bionic artificial limb and a preparation method and application thereof, and relates to the technical field of medical rehabilitation instruments, the bionic artificial limb comprises a bionic skeleton and a flexible driving unit; the flexible driving unit is located at a joint moving part of the bionic skeleton and is used for driving the bionic skeleton to move; the bionic artificial limb is integrally formed through 4D printing, the bionic skeleton is made of a shape memory composite material, and the flexible driving unit is made of a hydrogel driving material; the shape memory composite material comprises a shape memory polymer and a reinforcing material in a mass ratio of (80-95%): (5-20%); the hydrogel driving material comprises a thermo-sensitive polymer matrix, a stabilizer and a functional filler in a mass ratio of (50%-80%): (20%-40%): (3%-15%). The 4D printing bionic artificial limb has the dynamic adjusting capacity, and the change requirements of the residual limb under different conditions can be met.

The invention provides a bionic lower limb robot artificial limb test system and method. The system comprises a humanoid robot test main body, a load module, a support module and a data acquisition module, the humanoid robot testing main body at least comprises human lower limb joints and is used for simulating human lower limb walking; the human body lower limb joint comprises at least one of a knee joint, an ankle joint and a foot modularization, and at least part of the human body lower limb joint can be replaced by an artificial limb to-be-tested unit, so that the humanoid robot test main body can drive the artificial limb to-be-tested unit to carry out a walking test; the load module is arranged on the humanoid robot test main body and is used for providing a target load for the artificial limb to-be-tested unit; the supporting module is used for providing a walking road on which the humanoid robot testing main body can carry out a walking test; the data acquisition module is used for monitoring test parameters when the artificial limb to-be-tested unit is subjected to a walking test. According to the invention, a real use scene can be simulated, and accurate detection of the multi-dimensional performance of the artificial limb can be realized.

Methods, systems, and / or apparatuses are provided for providing multi-joint assistance for and / or resistance against leg movement of a user. The assistance may be provided to a paretic leg or a prosthetic leg of the user. Kinematic data associated with the paretic or prosthetic leg of the user may be received. The data may include one or more of velocity data, position data, orientation data, or acceleration data for differing portions of the paretic or prosthetic leg. A current phase of a gait motion for the paretic or prosthetic leg may be determined based on the kinematic data. One or more of electrical stimuli or motorized assistance or resistance may be provided to the paretic leg, prosthetic leg, or the remaining portion of the amputated leg based on the current phase of the gait motion of the paretic or prosthetic leg.

The invention belongs to the field of gait prediction, and particularly discloses a personalized gait prediction method fusing a self-attention mechanism and Bayesian regression, and the method comprises the steps: obtaining motion parameters of an artificial limb wearer, and constructing a time sequence feature sequence; dividing the time sequence feature sequence into a plurality of gait sub-stages; respectively outputting a gait speed prediction result of each gait sub-stage through an independent prediction model; wherein the prediction model adopts a space-time convolution attention network to extract features, probability output is performed through a Bayesian linear regression layer, and the prediction model is obtained through online transfer learning training. According to the invention, the problem of poor gait speed prediction precision can be solved, so that the precision and stability of an artificial limb control system are improved.

Disclosed are prosthetic systems comprising a powered knee upper leg prosthesis and a volitional controller configured to provide control of the prosthesis to the user. The prosthetic system may be configured to enable a user to climb a set of stairs. The prosthetic system may be activated by the activation of an EMG signal source, such as the biceps femoris muscle of the upper leg. The volitional controller of the prosthetic system may be further configured to receive a ground state signal and / or an IMU signal to determine a target knee torque for operating the powered knee of the prosthesis.

The invention provides a brain-computer interface system and an action control method of a bionic artificial limb, and relates to the technical field of signal processing, the system comprises an optimization scheduling module used for constructing a target model, and determining an acquisition channel subset, a feature path selection table and a network parameter sparse template according to the target model; the signal acquisition and processing module is used for acquiring a multi-modal neural signal according to the acquisition channel subset and processing the multi-modal neural signal; the intention prediction module is used for generating a candidate intention set according to the feature path selection table and the processed multi-modal neural signal; the intention decision module is used for scoring each candidate intention in the candidate intention set according to the network parameter sparse template to obtain a confidence score of each candidate intention and determine a target intention; the intention prediction module, the intention decision module and the optimization scheduling module are integrated on a collaborative chip platform, and the defects caused by the existing recognition accuracy and the use of a split-type hardware architecture are overcome.

The invention discloses an intelligent man-machine interaction artificial limb system for high-position upper limb amputation disabled people and a control method of the intelligent man-machine interaction artificial limb system. The system comprises a multi-degree-of-freedom artificial limb mechanism; the multi-mode sensing unit is used for collecting an interaction intention signal of a user and environment visual information; the intelligent decision-making unit is used for identifying a user task intention based on the interaction intention signal and the environment visual information and generating a high-level task plan; the task execution unit is used for driving the multi-degree-of-freedom artificial limb mechanism to execute operation according to the high-level task plan; wherein the task execution unit comprises a double-arm cooperative control module, and the double-arm cooperative control module is configured to adopt a cooperative control strategy based on the Stackelberg game to enable the prosthetic mechanism to actively generate a motion instruction coordinated with a sound arm of a user. According to the intelligent man-machine interaction artificial limb system and the control method thereof, natural, efficient and high-generalization auxiliary operation tasks can be achieved, and the system and the method are particularly suitable for daily use requirements of severe disabled people.

A 3D printed prosthetic liner adapted to provide an interface between a residual limb and a prosthetic socket, specifically a prosthetic liner manufactured using a 3D printing device, the surface of which being treated with one or more applications of a casting resin, and preferably a urethane-based casting resin forming a treated prosthetic liner having enhanced strength and pliability.

This invention relates to a prosthetic socket device, a prosthesis, and a negative pressure adjustment method. The prosthetic socket device includes a receiving shell and an adjustment and fixing device. The receiving shell has a receiving cavity with one open end. One end of the receiving shell is detachably connected to the adjustment and fixing device, and the other end is connected to a mounting part for mounting and fixing the prosthesis body. The adjustment and fixing device has an adjustment and fixing cavity that can be adjusted and positioned according to the size of the residual limb. The adjustment and fixing cavity communicates with the receiving cavity through the opening, allowing the residual limb to pass through the adjustment and fixing cavity and extend into the receiving cavity for fixation. The prosthetic socket device, prosthesis, and negative pressure adjustment method provided by this invention solve the problems of high cost and poor applicability of existing prosthetic sockets.

The invention relates to the field of medical instruments, in particular to an intelligent upper limb prosthesis sensing system with a tactile representation function. The touch sensing module is used for collecting touch information when the artificial limb is in contact with an external object; the signal processing module is electrically connected with the tactile sensing module and is used for converting the tactile information into recognizable tactile feature data; the feedback control module is connected with the signal processing module and is used for generating a corresponding feedback control signal according to the tactile feature data in combination with a preset tactile feedback strategy; and the feedback execution module is connected with the feedback control module and is used for executing corresponding actions according to the feedback control signal and providing tactile feedback for the residual limb part of the patient. Tactile information (direct tactile information and indirect tactile information) is collected through the tactile sensing module, so that the perception of a patient when the patient touches an external object through the artificial limb is improved.

The present invention relates to a wearable passive upper limb power-assisting exoskeleton prosthesis, which belongs to the technical field of wearable power-assisting devices. The exoskeleton prosthesis includes a waist support assembly worn on the waist, a shoulder support assembly worn on the shoulders and connected to the waist support assembly by a strap, two back support assemblies symmetrically arranged on both sides of the back and connecting the waist support assembly and the shoulder support assembly, two power-assisting devices symmetrically installed on the upper ends of the back support assemblies on both sides, and two arm support assemblies symmetrically worn on both arms and connected to the support arms of the power-assisting devices. Among them, the lower end of the back support assembly is hinged to the fixed seat of the waist support assembly, which increases the freedom of movement of the back support assembly. The power-assisting device uses the pre-tightening force of the S-shaped spiral spring to provide support force, which increases the power-assisting range and saves effort in adjustment. The present invention has a simple structure, light weight, good wearing comfort, and in particular a high degree of freedom of movement. The power-assisting size can be adjusted without the help of tools.

The invention discloses an artificial limb receiving cavity motion data acquisition device, and belongs to the field of data acquisition. The device comprises an inertial sensor used for collecting acceleration information and angular velocity information of an artificial limb receiving cavity; the data storage module is used for storing data information acquired by the inertial sensor; the data processing module is used for preprocessing the information stored in the data storage module; and the power supply module is used for supplying power to the inertial sensor, the data storage module and the data processing module.

1. Name of the product in this design: Gloves (Jimei). 2. Purpose of this design: This design is intended to be worn on the hand for warmth. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: Refer to Figure 1. 5. This design is a thin product, so the top view is omitted; this design is a thin product, so the bottom view is omitted; this design is a thin product, so the left view is omitted; this design is a thin product, so the right view is omitted. 6. Other situations requiring explanation: The prosthesis in the reference figure is an internal component and does not fall under the scope of the design patent for which protection is sought.