Literature DB >> 24803207

Why effectiveness of robot-mediated neurorehabilitation does not necessarily influence its adoption.

Giuseppe Turchetti, Nicola Vitiello, Leopoldo Trieste, Stefano Romiti, Elie Geisler, Silvestro Micera.   

Abstract

This paper discusses the reasons why evidence of clinical effectiveness is not enough to facilitate adequate adoption of robotic technologies for upper-limb neurorehabilitation. The paper also provides a short review of the state of the art technologies. In particular, the paper highlights the barriers to the adoption of these technologies by the markets in which they are, or should be, deployed. On the other hand, the paper explores how low rates of adoption may depend on communication biases between the producers of the technologies and potential adopters. Finally, it is shown that, although technology-efficacy issues are usually well-documented, barriers to adoption also originate from the lack of solid evidence of the economic implications of the new technologies.

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Year:  2014        PMID: 24803207     DOI: 10.1109/RBME.2014.2300234

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  13 in total

Review 1.  Barriers and facilitators to the implementation of social robots for older adults and people with dementia: a scoping review.

Authors:  Wei Qi Koh; Simone Anna Felding; Kübra Beliz Budak; Elaine Toomey; Dympna Casey
Journal:  BMC Geriatr       Date:  2021-06-09       Impact factor: 3.921

2.  Walking improvement in chronic incomplete spinal cord injury with exoskeleton robotic training (WISE): a randomized controlled trial.

Authors:  Dylan J Edwards; Gail Forrest; Mar Cortes; Margaret M Weightman; Cristina Sadowsky; Shuo-Hsiu Chang; Kimberly Furman; Amy Bialek; Sara Prokup; John Carlow; Leslie VanHiel; Laura Kemp; Darrell Musick; Marc Campo; Arun Jayaraman
Journal:  Spinal Cord       Date:  2022-01-29       Impact factor: 2.473

3.  A survey of stakeholder perspectives on exoskeleton technology.

Authors:  Jamie Wolff; Claire Parker; Jaimie Borisoff; W Ben Mortenson; Johanne Mattie
Journal:  J Neuroeng Rehabil       Date:  2014-12-19       Impact factor: 4.262

Review 4.  Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review.

Authors:  Dennis R Louie; Janice J Eng
Journal:  J Neuroeng Rehabil       Date:  2016-06-08       Impact factor: 4.262

5.  Innovating With Rehabilitation Technology in the Real World: Promises, Potentials, and Perspectives.

Authors:  Karen Sui Geok Chua; Christopher Wee Keong Kuah
Journal:  Am J Phys Med Rehabil       Date:  2017-10       Impact factor: 2.159

6.  Phase-II Clinical Validation of a Powered Exoskeleton for the Treatment of Elbow Spasticity.

Authors:  Simona Crea; Marco Cempini; Stefano Mazzoleni; Maria Chiara Carrozza; Federico Posteraro; Nicola Vitiello
Journal:  Front Neurosci       Date:  2017-05-12       Impact factor: 4.677

7.  Translation of robot-assisted rehabilitation to clinical service: a comparison of the rehabilitation effectiveness of EMG-driven robot hand assisted upper limb training in practical clinical service and in clinical trial with laboratory configuration for chronic stroke.

Authors:  Yanhuan Huang; Will Poyan Lai; Qiuyang Qian; Xiaoling Hu; Eric W C Tam; Yongping Zheng
Journal:  Biomed Eng Online       Date:  2018-06-25       Impact factor: 2.819

8.  Determining Factors that Influence Adoption of New Post-Stroke Sensorimotor Rehabilitation Devices in the USA.

Authors:  Corey M Morrow; Emily Johnson; Kit N Simpson; Na Jin Seo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-06-30       Impact factor: 4.528

Review 9.  The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians.

Authors:  Marco Iosa; Giovanni Morone; Andrea Cherubini; Stefano Paolucci
Journal:  J Med Biol Eng       Date:  2016-02-09       Impact factor: 1.553

10.  A survey of human shoulder functional kinematic representations.

Authors:  Rakesh Krishnan; Niclas Björsell; Elena M Gutierrez-Farewik; Christian Smith
Journal:  Med Biol Eng Comput       Date:  2018-10-26       Impact factor: 2.602

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