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Generalised correlation index for quantifying signal morphological similarity

Generalised correlation index for quantifying signal morphological similarity

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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.

References

    1. 1)
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      • 2. Mir, H., Al-Nashash, H., All, A., Thakor, N.: ‘Quantification of spinal cord injury level using somatosensory evoked potentials’. Int. Conf. on Bioinformatics and Biomedical Engineering, Chengdu, China, June 2010.
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    4. 4)
      • 4. Vipin, A., Xinyuan, T., Mir, H., et al: ‘Natural progression of spinal cord transection injury and reorganisation of neural pathways’, J. Neurotrauma, 2016, pp. 110, DOI: 10.1089/neu.2015.4383.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2016.2974
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