Title :
Wavelet applications in medicine
Author_Institution :
Dartmouth Coll., Hanover, NH, USA
fDate :
5/1/1997 12:00:00 AM
Abstract :
The author describes how, because of their compatibility with nonstationary random processes, wavelet transforms are particularly powerful when it comes to analyzing biomedical signals. In this paper, he presents a brief survey of the field which makes this fact clear. Applications discussed include detecting coronary artery disease, and heart sounds related to turbulent blood flow analysis
Keywords :
bioacoustics; cardiology; haemodynamics; medical signal processing; patient diagnosis; random processes; wavelet transforms; applications; biomedical signal processing; coronary artery disease; heart sounds; medical diagnosis; nonstationary random processes; signal analysis; turbulent blood flow analysis; wavelet transforms; Biomedical imaging; Fourier transforms; Frequency; Image analysis; Image resolution; Information analysis; Medical diagnostic imaging; Signal analysis; Signal processing; Wavelet analysis;
Journal_Title :
Spectrum, IEEE
