Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65307
Title: Generalised correlation index for quantifying signal morphological similarity
Authors: Olenko, A
Wong, KT 
Mir, H
Al-Nashash, H
Issue Date: 2016
Publisher: Institution of Engineering and Technology
Source: Electronics letters, 2016, v. 52, no. 22, p. 1832-1834 How to cite?
Journal: Electronics letters 
Abstract: In biomedical applications, the similarity between a signal measured from an injured subject and a reference signal measured from a normal subject can be used to quantify the injury severity. A generalisation of the adaptive signed correlation index (ASCI) is proposed to account for specific signal features of interest and the trichotomisation of conventional ASCI extended to an arbitrary number of levels. In the context of spinal cord injury assessment, a computational example is presented to illustrate the enhanced resolution of the proposed measure and its ability to offer a more refined measure of the level of injury.
URI: http://hdl.handle.net/10397/65307
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el.2016.2974
Appears in Collections:Journal/Magazine Article

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