利索-全球专利检索

  1. Login
  2. Sign Up

Search Results

1085 records (took 0.024 seconds)

    Prosthetic hook adapter for sporting equipment
    1.
    发明授权
    Prosthetic hook adapter for sporting equipment 有权

    公开(公告)号：US12226325B2

    公开(公告)日：2025-02-18

    申请号：US17346268

    申请日：2021-06-13

    Applicant: LIFEWORK ADAPTER LLC

    Inventor： Marschell B. Saadon

    IPC: A61F2/58

    Abstract: A prosthetic adaptor includes a post plate, a grip plate coupled to the post plate, and an equipment interface coupled to the post plate. The equipment interface can be coupled to the post plate at an end of the post plate distal from the grip plate. The post plate can include a concave surface. The concave surface can be configured to receive a Hosmer-like prosthetic hook.

    AN AUTOMATED HAND
    2.
    发明申请
    AN AUTOMATED HAND 有权

    公开(公告)号：US20250017746A1

    公开(公告)日：2025-01-16

    申请号：US18706086

    申请日：2022-11-01

    Applicant: 5TH ELEMENT LIMITED

    Inventor： Aidan Robert BURGESS ,  Cameron Rhys Gwyn RICHARDS ,  Darryl John BEST ,  David Neil LOVEGROVE ,  Ross Hughan DAWSON ,  Michael James van der Werff ,  Matthew Sultan YAN

    IPC: A61F2/58 ,  A61F2/50 ,  A61F2/68

    Abstract: An automated hand having an arrangement for mounting a digit connector such that the connector can rotate when a force is applied to a digit. The arrangement can include a rigid mount and a resiliently deformable sleeve, with the connector within the sleeve. The automated hand can be compatible with a touchscreen. The automated hand can have a worm drive for rotating a digit, the worm drive including a bearing configured to resist axial loads in both directions. The automated hand can have a thumb with an auxiliary support. A catch can be provided to restrict pivoting of a digit under load. A wrist can be clamped to the hand, can be releasably electrically coupled to the hand, can be locked against rotation, and can include resiliently deformable pieces. A cover can also be provided for an automated hand. The cover can include a knitted body and a structural brace.

    PROSTHETIC WRIST
    3.
    发明申请
    PROSTHETIC WRIST 有权

    公开(公告)号：US20250009527A1

    公开(公告)日：2025-01-09

    申请号：US18706578

    申请日：2022-11-17

    Applicant: OTTO BOCK HEALTHCARE PRODUCTS GMBH

    Inventor： Martin HASLINGER ,  Felix MITTELBERGER ,  Luis SAGMEISTER

    IPC: A61F2/58 ,  A61F2/50 ,  A61F2/68

    Abstract: The invention relates to a prosthetic wrist having a base for fastening to a proximal prosthesis component and having a pivot part which is mounted on the base in such a way as to be pivotable about a pivot axis, —having at least one fastening device for securing a distal prosthesis component or prosthetic hand to the pivot part, wherein—at least one catch segment with form-fit elements arranged thereon is arranged on the pivot part, and—at least one locking element is mounted on the base in such a way as to be longitudinally displaceable along the pivot axis, which locking element can be brought from a locking position, in which the locking element is in engagement with a form-fit element of the catch segment, counter to a spring force into a release position, wherein the locking element has two release regions with which a first and a second release position are realized, the first release region being arranged spaced apart from the second release region in the direction of displacement, and the second release region being assigned a catch element which holds the locking element in the second release position.

    Mechanical hand
    5.
    发明授权
    Mechanical hand 有权

    公开(公告)号：US12109688B2

    公开(公告)日：2024-10-08

    申请号：US17278907

    申请日：2019-09-13

    Applicant: COVVI Limited

    Inventor： Edward William Varley ,  Martin Wallace ,  Robert Spares ,  Paul Roger Smithson

    IPC: B25J15/10 ,  A61F2/58 ,  A61F2/70 ,  A61F2/76

    CPC classification number: B25J15/10 ,  A61F2/586 ,  A61F2002/587 ,  A61F2002/704 ,  A61F2002/7625

    Abstract: The present application describes a mechanical hand comprising a plurality of finger assemblies each selectively moveable by a respective finger drive assembly about a finger pivot axis along a finger flexion/extension plane and between a finger open position and a finger closed position; a thumb assembly selectively rotatable by a first thumb drive assembly about a first thumb axis between an opposed position and a non-opposed position with respect to the finger assemblies, and selectively moveable by a second thumb drive assembly about a second thumb axis along a thumb flexion/extension plane and between a thumb open position and a thumb closed position; a controller operatively coupled to the finger and thumb drive assemblies; and a selector operatively coupled to the controller for selecting a desired thumb rotational position or a desired grip to be defined by the finger assemblies and the thumb assembly.

    MACHINE-LEARNED MOVEMENT DETERMINATION BASED ON INTENT IDENTIFICATION
    10.
    发明公开
    MACHINE-LEARNED MOVEMENT DETERMINATION BASED ON INTENT IDENTIFICATION 审中-公开

    公开(公告)号：US20240216152A1

    公开(公告)日：2024-07-04

    申请号：US18602923

    申请日：2024-03-12

    Applicant: Cionic, Inc.

    Inventor： Jeremiah Robison ,  Michael Dean Achelis ,  Lina Avancini Colucci ,  Sidney Rafael Primas ,  Andrew James Weitz

    IPC: A61F2/58 ,  G06F3/01 ,  G06F3/0346 ,  G06N20/00

    CPC classification number: A61F2/583 ,  G06F3/015 ,  G06F3/016 ,  G06F3/0346 ,  G06N20/00

    Abstract: A mobility augmentation system monitors data representative of a user's motor intent and augments the user's mobility based on the monitored motor intent data. A machine-learned model is trained to identify an intended movement based on the monitored motor intent data. The machine-learned model may be trained based on generalized or specific motor intent data (e.g., user-specific motor intent data). A machine-learned model initially trained on generalized motor intent data may be re-trained on user-specific motor intent data such that the machine-learned model is optimized to the movements of the user. The system uses the machine-learned model to identify a difference between the user's monitored movement and target movement signals. Based on the identified difference, the system determines actuation signals to augment the user's movement. The actuation signals determined can be an adjustment to a currently applied actuation such that the system optimizes the actuation strategy during application.

Patent Agency Ranking