Literature DB >> 27244744

Multi-Indenter Device for in Vivo Biomechanical Tissue Measurement.

Arthur Petron, Jean-Francois Duval, Hugh Herr.   

Abstract

Biomechanical tissue properties have been hypothesized to play a critical role in the quantification of prosthetic socket production for individuals with limb amputation. In this investigation, a novel indenter platform is presented and its performance evaluated for the purposes of residual-limb tissue characterization. The indenter comprised 14 position- and force-controllable actuators that circumferentially surround a biological residuum to form an actuator ring. Each indenter actuator was individually controllable in position ( [Formula: see text] accuracy) and force (330 mN accuracy) at a PC controller feedback rate of 500 Hz, allowing for a range of measurement across a residual stump. Data were collected from 162 sensors over an EtherCAT fieldbus to characterize the mechanical hyperviscoelastic tissue response of two transtibial residual-limbs from a study participant with bilateral amputations. At five distinct anatomical locations across the residual-limb, force versus deflection data-including hyperviscoelastic tissue properties-are presented, demonstrating the accuracy and versatility of the multi-indenter platform for residual-limb tissue characterization.

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Year:  2016        PMID: 27244744     DOI: 10.1109/TNSRE.2016.2572168

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  3 in total

1.  Developing a control framework for self-adjusting prosthetic sockets incorporating tissue injury risk estimation and generalized predictive control.

Authors:  F M Mbithi; A J Chipperfield; J W Steer; A S Dickinson
Journal:  Biomed Eng Lett       Date:  2021-12-02

2.  Foot contact forces can be used to personalize a wearable robot during human walking.

Authors:  Michael Jacobson; Prakyath Kantharaju; Hyeongkeun Jeong; Jae-Kwan Ryu; Jung-Jae Park; Hyun-Joon Chung; Myunghee Kim
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

3.  Designing Physical Human-Robot Interaction Interfaces: A Scalable Method for Simulation Based Design.

Authors:  Rohit John Varghese; Gaurav Mukherjee; Ashish Deshpande
Journal:  Front Neurorobot       Date:  2022-02-18       Impact factor: 2.650

  3 in total

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