Referenced Items are not available for this document.
A general framework is given to describe pattern recognition and interpretation. Pattern analysis stages are described, with consideration of difficulties in implementation and uncertainties present at each level. The main forms of pattern analysis-statistical, syntactic, and artificial intelligence (connectionist and symbolic) methods-have different strengths and weaknesses, depending on the stage of pattern analysis at which they are used. In general, statistical, syntactic, and connectionist techniques are used for pattern recognition, and statistical and symbolic techniques are used for pattern interpretation. Largely, pattern interpretation involves reasoning with uncertainty. Multichannel recordings increase the information available about specific physiologic events, at the expense of processing complexity.<
Published in:
Engineering in Medicine and Biology Magazine, IEEE
(Volume:12
,
Issue:
3
)
Date of Publication: Sept. 1993
- Page(s):
- 89 - 95
- ISSN :
- 0739-5175
- INSPEC Accession Number:
- 4515078
- Digital Object Identifier :
- 10.1109/51.232348
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sept. 1993
- Sponsored by :
- IEEE Engineering in Medicine and Biology Society
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