- Title
- Wavelet signatures and diagnostics for the assessment of ICU agitation-sedation protocols
- Creator
- Kang, In; Hudson, Irene; Rudge, Andrew; Chase, J. Geoffrey
- Relation
- Discrete Wavelet Transforms - Biomedical Applications p. 321-348
- Publisher Link
- http://dx.doi.org/10.5772/20547
- Publisher
- InTech
- Resource Type
- book chapter
- Date
- 2011
- Description
- The use of quantitative modelling to enhance understanding of the agitation-sedation (A-S) system and the provision of an A-S simulation platform are key tools in this area of patient critical care. A suite of wavelet techniques and metrics based on the discrete wavelet transform (DWT) are developed in this chapter which are shown to successfully establish the validity of deterministic agitation-sedation (A-S) models against empirical (recorded) dynamic A-S infusion profiles. The DWT approach is shown to provide robust performance metrics of A-S control and also yield excellent visual assessment tools. This approach is generalisable to any study which investigates the similarity or closeness of bivariate time series of, say, a large number of units (patients, households etc) and of disparate lengths and of possibly extremely long length. This work demonstrates the value of the DWT for assessing ICU agitation-sedation deterministic models, and suggests new wavelet based diagnostics by which to assess the A-S models.
- Subject
- wavelet techniques; discrete wavelet transform; intensive care unit
- Identifier
- http://hdl.handle.net/1959.13/1050365
- Identifier
- uon:15150
- Identifier
- ISBN:9789533076546
- Language
- eng
- Full Text
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