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 language | English |
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Pages | 5400-5406 |
Number of pages | 7 |
Publication status | Published - 2004 |
Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: 1 Sept 2004 → 5 Sept 2004 |
Conference
Conference | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 |
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Country/Territory | United States |
City | San Francisco, CA |
Period | 1/09/04 → 5/09/04 |
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