1. Finger Plethysmography Classification by Orthogonal Transformatios
- Author
-
Martin Augustynek and Marek Penhaker
- Subjects
business.industry ,Computer science ,Wavelet transform ,Finger plethysmography ,symbols.namesake ,Fourier transform ,Frequency domain ,Compression (functional analysis) ,Computer data storage ,symbols ,Computer vision ,Artificial intelligence ,business ,Disk space - Abstract
The paper aims at presenting problems and prospects of possibilities for automatic evaluation of finger plethysmography by use Fourier and wavelet transform. To these days no special proceeding exists, which could be used for the exact analysis of plethysmographycal recordings. It is why we elaborated the method which could lead to creation of the systematic method for the automatic evaluation of a plethysmographycal record. This method is also suitably completed by the use of wavelet transform which enables compression and filtration for saving disk space for data storage.
- Published
- 2010
- Full Text
- View/download PDF