Factors influencing the reliability of statistical body surface potential map classification

The maximal distance between samples taken from the same multivariate distributions was studied experimentally as a function of the sample size and dimensionality using body surface potential map (BSPM) data from normal subjects. Experimental findings show that for a given sample size, the involveme...

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Bibliographic Details
Published inIEEE Engineering in Medicine and Biology 14th Annual Conference, 1992 pp. 125 - 126 vol.1
Main Authors Kozmann, G., Lux, R.L., Green, L.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1988
Subjects
Biology computing
Cardiology
Cities and towns
Distributed computing
Distribution functions
Eigenvalues and eigenfunctions
Engineering in medicine and biology
Phase estimation
Probability distribution
Tin
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Summary:The maximal distance between samples taken from the same multivariate distributions was studied experimentally as a function of the sample size and dimensionality using body surface potential map (BSPM) data from normal subjects. Experimental findings show that for a given sample size, the involvement of too many parameters (dimensionality) results in an unreliable conditional cumulative probability density (CCPD) estimate. Consequently, the diagnostic performance during classification can be significantly lower than anticipated on the basis of an inadequate training set. For a given sample size, there is an optimal dimensionality, below which representation accuracy and above which the CCPD estimation reliability are heavily compromised.< >
ISBN:0780307852
9780780307858
DOI:10.1109/IEMBS.1988.94438