Literature DB >> 29412078

Computerized Cuff Pressure Algometry as Guidance for Circumferential Tissue Compression for Wearable Soft Robotic Applications: A Systematic Review.

Tjaša Kermavnar1, Valerie Power1, Adam de Eyto1, Leonard W O'Sullivan1.   

Abstract

In this article, we review the literature on quantitative sensory testing of deep somatic pain by means of computerized cuff pressure algometry (CPA) in search of pressure-related safety guidelines for wearable soft exoskeleton and robotics design. Most pressure-related safety thresholds to date are based on interface pressures and skin perfusion, although clinical research suggests the deep somatic tissues to be the most sensitive to excessive loading. With CPA, pain is induced in deeper layers of soft tissue at the limbs. The results indicate that circumferential compression leads to discomfort at ∼16-34 kPa, becomes painful at ∼20-27 kPa, and can become unbearable even below 40 kPa.

Entities:  

Keywords:  cuff pressure algometry; discomfort; exoskeleton; pressure; tissue compression

Mesh:

Year:  2017        PMID: 29412078     DOI: 10.1089/soro.2017.0046

Source DB:  PubMed          Journal:  Soft Robot        ISSN: 2169-5172            Impact factor:   8.071


  3 in total

Review 1.  Characterization and Evaluation of Human-Exoskeleton Interaction Dynamics: A Review.

Authors:  Stefano Massardi; David Rodriguez-Cianca; David Pinto-Fernandez; Juan C Moreno; Matteo Lancini; Diego Torricelli
Journal:  Sensors (Basel)       Date:  2022-05-25       Impact factor: 3.847

Review 2.  Safety Assessment of Rehabilitation Robots: A Review Identifying Safety Skills and Current Knowledge Gaps.

Authors:  Jule Bessler; Gerdienke B Prange-Lasonder; Leendert Schaake; José F Saenz; Catherine Bidard; Irene Fassi; Marcello Valori; Aske Bach Lassen; Jaap H Buurke
Journal:  Front Robot AI       Date:  2021-03-22

3.  Integration of 3D Printed Flexible Pressure Sensors into Physical Interfaces for Wearable Robots.

Authors:  Kevin Langlois; Ellen Roels; Gabriël Van De Velde; Cláudia Espadinha; Christopher Van Vlerken; Tom Verstraten; Bram Vanderborght; Dirk Lefeber
Journal:  Sensors (Basel)       Date:  2021-03-19       Impact factor: 3.576

  3 in total

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