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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | El-Gohary, M. McNames, J. |
| Copyright Year | 1964 |
| Abstract | In many biomedical applications, it is important to determine whether two recorded signals have a causal relationship and, if so, what the nature of that relationship is. Many advanced techniques have been proposed to characterize this relationship, but in practice simple techniques such as cross-correlation analysis are used. Unfortunately, the traditional cross-correlation analysis is influenced by the autocorrelation of the signals as much as it is by the relationship between the signals. Practically, this results in the cross correlation suggesting that the signals are correlated over a broad range of lags. Prewhitening the signals overcomes this limitation and reveals the essentially causal relationship between the signals. This is a simple method that can also easily generalize cross-correlation analysis to nonstationary signals, which are frequently encountered in biomedical applications. This technique has been used in other fields, but remains mostly undiscovered in biomedical research. In the case of a purely causal relationship, we show that whitened cross-correlation analysis is equivalent to directly estimating the all-pass component of the transfer function that relates the signals. We give examples of this type of analysis applied to several biomedical applications to demonstrate some of the new insights and information that can be produced by this type of analysis. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 9 |
| File Size | 815622 |
| Starting Page | 2214 |
| Ending Page | 2222 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 54 |
| Issue Number | 12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-12-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal analysis Transfer functions Information analysis Filters Biomedical signal processing Cardiology Autocorrelation Arterial blood pressure Heart rate Cranial pressure time delay estimation Adaptive filter arterial blood pressure causality analysis cross correlation heart rate intracranial pressure Kalman filter prewhitening prediction error filter |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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