Generalised correlation index for quantifying signal morphological similarity

A. Olenko, Kainam Thomas Wong, H. Mir, H. Al-Nashash

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)1832-1834
Number of pages3
JournalElectronics Letters
Volume52
Issue number22
DOIs
Publication statusPublished - 27 Oct 2016

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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