- Title
- Density estimation and wavelet thresholding via Bayesian methods: a wavelet probability band and related metrics to assess agitation and sedation in ICU patients
- Creator
- Kang, In; Hudson, Irene; Rudge, Andrew; Chase, J. Geoffrey
- Relation
- Discrete wavelet transforms - a compendium of new approaches and recent applications p. 127-162
- Publisher Link
- http://dx.doi.org/10.5772/52434
- Publisher
- InTech
- Resource Type
- book chapter
- Date
- 2013
- Description
- A wave is usually defined as an oscillating function that is localized in both time and frequency. A wavelet is a “small wave”, which has its energy concentrated in time providing a tool for the analysis of transient, non-stationary, or time-varying phenomena. Wavelets have the ability to allow simultaneous time and frequency analysis via a flexible mathematical foundation. Wavelets are well suited to the analysis of transient signals in particular. The localizing property of wavelets allows a wavelet expansion of a transient component on an orthogonal basis to be modelled using a small number of wavelet coefficients using a low pass filter. This wavelet paradigm has been applied in a wide range of fields, such as signal processing, data compression and image analysis.
- Subject
- wavelet; ICU patients; agitation-sedation cycling; wavelet statistics
- Identifier
- http://hdl.handle.net/1959.13/1054429
- Identifier
- uon:15749
- Identifier
- ISBN:9789535109402
- Language
- eng
- Full Text
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