Literature DB >> 25247372

Technology for chronic pain.

Suyi Zhang1, Ben Seymour2.   

Abstract

Technology developed for chronic pain management has been fast evolving and offers new stand-alone prospects for the diagnosis and treatment of pain, rather than simply addressing the limitations of pharmacology-based approaches. There are two central challenges to be tackled: developing objective measures that capture the subjectivity of pain experience, and providing technology-based interventions that offer new approaches for pain management. Here we highlight recent developments that hold promise in addressing both of these challenges.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25247372     DOI: 10.1016/j.cub.2014.07.010

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  3 in total

1.  Neuroimaging-based biomarker discovery and validation.

Authors:  Choong-Wan Woo; Tor D Wager
Journal:  Pain       Date:  2015-08       Impact factor: 7.926

Review 2.  The Use of Technology in the Management of Orthodontic Treatment-Related Pain.

Authors:  Anand Marya; Adith Venugopal
Journal:  Pain Res Manag       Date:  2021-03-09       Impact factor: 3.037

3.  Pain Control by Co-adaptive Learning in a Brain-Machine Interface.

Authors:  Suyi Zhang; Wako Yoshida; Hiroaki Mano; Takufumi Yanagisawa; Flavia Mancini; Kazuhisa Shibata; Mitsuo Kawato; Ben Seymour
Journal:  Curr Biol       Date:  2020-08-13       Impact factor: 10.834

  3 in total

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