Nonlinear methods for biopattern analysis: Role and challenges

E. C. Ifeachor, N. J. Outram, G. T. Henderson, H. S.K. Wimalaratna, N. Hudson, R. Sneyd, C. Dong, C. Bigan

Research output: Contribution to conferenceConference paper (not formally published)peer-review

Abstract

An important trend in medical technology is towards support for personalised healthcare, fuelled by developments in genomic-based medicine. New computational intelligent techniques for biodata analysis will be needed to fully exploit the vast amounts of data that are being generated. Non-linear signal processing methods will form an important part of such computational intelligent techniques. This paper introduces some non-linear methods which are likely to play a role in the emerging area of biopattern and bioprofile analysis that will underpin personalized healthcare. We highlight their application to clinical problems involving EEG and fetal ECG and heart rate analysis, and issues that arise when they are applied to real world problems. The clinical problems include dementia assessment, drug administration and fetal monitoring. The potential role and challenges in the application of non-linear signal analysis of biopattern and bioprofile are highlighted within the context of a major EU project, BIOPATTERN.

Original languageEnglish
Pages5400-5406
Number of pages7
Publication statusPublished - 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: 1 Sept 20045 Sept 2004

Conference

ConferenceConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004
Country/TerritoryUnited States
CitySan Francisco, CA
Period1/09/045/09/04

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Keywords

  • Anaesthesia
  • Biopattern
  • Bioprofile
  • Bispectrum
  • Chaos
  • Dementia
  • EEG
  • Fetal ECG
  • Fractal dimension
  • Fractals
  • Fuzzy logic
  • ICA
  • Neural networks

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