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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kozmann, G. Green, L.S. Lux, R.L. |
| Copyright Year | 1964 |
| Abstract | A nonparametric method, based on the Kolmogorov-Smirnov test was used to detect significant differences between classes of body surface potential maps (BSPMs). By systematic application of the method throughout the cardiac cycle, discriminative spatio-temporal information can be identified. In a second method, a Sebestyen linear transformation (SLT) was derived to give estimates of pairwise, linear separability of clinical classes. The utility of the method was illustrated by the pairwise comparison of 40 normal subjects (NOR), 40 patients with anterior myocardial infarction (AMI), and 40 with inferior myocardial infarction (IMI). The examples demonstrated that: (a) diagnostic information in low-potential amplitude regions may surpass that in high amplitude regions. (b) probability distributions of characteristic features showed small overlap in NOR versus AMI and NOR versus IMI dichotomies, although they were not linearly separable, and (c) the single best separating potential sample in the Kolmogorov-Smirnov sense for NOR versus AMI or NOR versus IMI dichotomies recovered 88 and 73% of the SLT performance, respectively.< |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 8 |
| File Size | 672389 |
| Starting Page | 1061 |
| Ending Page | 1068 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 38 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ambient intelligence Testing Myocardium Probability distribution Robustness Biomedical measurements Information analysis Vehicles Conductors Cardiology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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