Bloom, B.M., Maimaris, C., Lecky, F. et al. (1 more author) (2016) Letter in Response to 'Classification of Traumatic Brain Injury Severity Using Informed Data Reduction in a Series of Binary Classifier Algorithms'. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24 (5). p. 616. ISSN 1534-4320
Abstract
This paper is a comment to the paper "Classification of Traumatic Brain Injury Severity Using Informed Data Reduction in a Series of Binary Classifier Algorithms" by Bloom et al. The authors inform the editors that they have conducted a similar study on behalf of, and funded BrainScope Company, Inc. and that the method used to acquire the QEEG data suffer from a technical fault. Same methods seem to have been used by Bloom et. al. It is noted that the authors do not refer to this technical fault even though it arose months before the publication of the papers.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Institute of Electrical and Electronics Engineers, 2016. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Aug 2016 09:00 |
Last Modified: | 18 Aug 2016 09:00 |
Published Version: | https://dx.doi.org/10.1109/TNSRE.2015.2479412 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TNSRE.2015.2479412 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102246 |