Patent classifications
A61F2/583
HAPTIC PERCEPTION SYSTEM WITH STEREOGNOSTIC AND PROPRIOCEPTIVE SENSES INDUCTION FOR AN ARTIFICIAL LIMB OR A SENSORY DISRUPTED LIMB
A haptic perception system for a hand prosthesis. The haptic perception system includes a stereognosis unit, a proprioception unit, and one or more processors. The stereognosis unit includes a plurality of pressure sensors attached onto an external surface of the hand prosthesis, a plurality of passive magnetic tags embedded in a hypoderm tissue of a residual limb of the amputee, and a plurality of electromagnetic coils attached onto a skin of the residual limb of the amputee. When a first electromagnetic coil is activated, a first passive magnetic tag moves toward the first electromagnetic coil and, to thereby, stimulates pressure sensory receptors present in the hypoderm tissue of the residual limb.
UNDER-DRIVEN PROSTHETIC HAND WITH SELF-ADAPTIVE GRASPING FUNCTION
An under-driven prosthetic hand with a self-adaptive grasping function is provided, which belongs to the field of medical equipment. The prosthetic hand simultaneously controls four fingers to implement bending and stretching movements by a first motor through structural designs of a prosthetic hand body, a finger transmission module, an inter-finger transmission module, and a thumb driving module, and limits the transmission torque between the motor and screws using a damping shaft and in cooperation with the telescopic characteristic of a telescopic component. On the one hand, mechanical damage to the prosthetic hand structure due to excessive torque outputted by the motor can be prevented. On the other hand, the self-adaptive grasping function of the prosthetic hand can be implemented. The disclosure can also effectively solve issues such as excessive volume or mass of the prosthetic hand, complicated control system, and low operation precision.
SYSTEM FOR IDENTIFYING INFORMATION REPRESENTED BY BIOLOGICAL SIGNALS
This system for identifying information represented by biological signals is configured so as to detect biological signals (S501), analyze the detected biological signals and then output feature data (S502), determine the respective similarities between the feature data and a plurality of teaching data (S503), store the similarities per time in a time series (S504), and determine information represented by the biological signals on the basis of the plurality of similarities within a prescribed period among the stored similarities in the time series (S505).
System for identifying information represented by biological signals
This system for identifying information represented by biological signals is configured so as to detect biological signals (S501), analyze the detected biological signals and then output feature data (S502), determine the respective similarities between the feature data and a plurality of teaching data (S503), store the similarities per time in a time series (S504), and determine information represented by the biological signals on the basis of the plurality of similarities within a prescribed period among the stored similarities in the time series (S505).
Securing arrangement for a prosthetic hand on a forearm shaft and prosthesis system
A securing arrangement of a prosthetic hand on a forearm socket with a receiving frame that can be fixed to the forearm socket, the prosthetic hand being fixed to said receiving frame, wherein the receiving frame is designed to feature radially-directed openings through which the securing elements protrude. The securing elements positively engage with a proximal connection section of the prosthetic hand.
Modular prosthetic hand system
Prosthetic devices, such as prosthetic hands (including, e.g., bionic prosthetic hands controlled by myoelectric signals and/or equipped with force sensors for feedback) can utilize a modular design to simplify assembly and repair. In some embodiments, low-cost additive manufacturing techniques are employed, e.g., to create prosthetic device parts with complex interior geometries and/or functionally integrated components.
WATERTIGHT FINGER ELEMENT
Finger element or thumb element with at least a sleeve which defines a volume and in which at least one motor is arranged, such that the said volume is at least partially filled with a filler material.
RETROSPECTIVE TRAINING OF ADAPTIVE CONTROL SYSTEM FOR PROSTHETIC DEVICES
Embodiments are directed to a prosthetic system comprising a myoelectric controlled prosthetic device and an electronic device for receiving user feedback on operation of the prosthetic device. The prosthetic device can include one or more sensors configured to detect myoelectric signals and a controller configured to provide myoelectric data as input to a classification model. The controller can receive one or more movement classes from the classification model and cause one or more actuators to perform one or more movements based on the movement classes. The electronic device can include an input/output component that can receive an indication from the user of whether the classification model correctly identified the user's intended movement. In response to a user indicating that an incorrect movement was performed, the system can retroactively update the classification model based on a correct movement that was identified by the user.
SYSTEMS AND METHODS FOR POSTURAL CONTROL OF A MULTI-FUNCTION PROSTHESIS
Systems and methods for postural control of a multi-function prosthesis are provided. Various embodiments provide for a postural controller that use EMG signals to drive a point in a posture space and outputs continuously varying joint angles for a powered prosthetic hand. The postural controller can include an EMG signal processing unit to receive signals from electrodes for processing (e.g., band pass filtering, rectification, root mean square averaging, dynamic tuning, etc.). The processed EMG signals can then be combined or converted to produce a point in the postural control domain. The PC domain map defines the posture that corresponds to each PC cursor coordinate. This map can have limitless possible postures and limitless possible positions of the postures. The Joint Angle Transform converts the PC cursor coordinate into the joint angle array which is sent to the prosthetic hand thereby creating more natural movements.
METHOD FOR CONFIGURING A CONTROLLER AND ORTHOPEDIC DEVICE, AND COMPUTER PROGRAM PRODUCT
The invention relates to a method for configuring a controller of an orthopedic device, which has at least one data processing device (10), sensors (20) coupled thereto and an actuator (30) which is activated and/or deactivated by the data processing device (10), the controller having a basic function block (40), in which a basic functionality of the actuator (30) is defined, a plurality of additional function blocks (60), which have different additional functionalities, being provided to an interface device (50) from a memory (15) and at least one additional function block (60) being selected and added to the basic function block (40) by way of the interface device (50), there being an interface (46) between the basic function block (40) and the at least one additional function block (60), the compatibility of the functionalities being checked and an overall functionality being generated at said interface, an adjustment of at least one functionality being carried out to establish compatibility, or an inclusion of the additional functionality being rejected, in the case of lack of compatibility at the outset.