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A correlation method for determining the number of sampling cycles required for pulsating flow analysis using a LDA
1Department of Manufacturing and Engineering Systems, Brunel University, Uxbridge, Middx, U.K.
Journal of Biomechanics
|September 1, 1994
Summary
A new correlation method improves pulsatile flow analysis by determining the minimum cycles needed for accurate ensemble averaging. This technique also identifies and removes erroneous data, enhancing overall analysis reliability.
Area of Science:
- Fluid dynamics
- Signal processing
- Biomedical engineering
Background:
- Pulsatile flow analysis is crucial in various scientific fields.
- Ensemble averaging is a common technique to improve signal-to-noise ratio.
- Ensuring ergodicity in ensemble averaging requires careful selection of data cycles.
Purpose of the Study:
- To develop a novel correlation method for pulsatile flow analysis.
- To establish criteria for selecting the minimum number of cycles for ensemble averaging.
- To enhance the accuracy of pulsatile flow analysis by identifying and mitigating artefacts.
Main Methods:
- Development of a correlation-based method.
- Application of the method to pulsatile flow data.
- Identification of cycles exhibiting excessive fluctuations or artefacts.
Main Results:
- The developed method provides a quantitative basis for determining the minimum number of cycles for ergodic ensemble averaging.
- The method successfully identifies cycles contaminated by artefacts or incidental errors.
- Removal of erroneous cycles leads to improved accuracy in pulsatile flow analysis.
Conclusions:
- The novel correlation method offers a robust approach to pulsatile flow analysis.
- It enhances the reliability of ensemble averaging by ensuring ergodicity.
- The technique is valuable for improving the accuracy and reducing errors in flow dynamics studies.