| Color modulation of Doppler spectra with the use of a personal computer. | |
| | |
MedLine Citation:
|
PMID: 1764932 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
This paper describes a method for the use of a personal computer in developing color modulated spectral maps of blood flow echoes from a Doppler flowmeter. The acoustical signal from a Doppler flowmeter is digitized and transformed into the frequency domain with a fast Fourier technique with the use of an Apple IIe microcomputer in conjunction with a Motorola 68000 co-processor. The resultant transform is displayed as a pseudo three-dimensional, color modulated spectral map by way of a color monitor, or a television projector onto the meeting room screen. We have found this technique to be useful in appreciating differences in blood flow from different hydraulic conditions, as well as in helping the medical students appreciate these differences in pulsatile flow in various arteries. |
| | |
Authors:
|
R R Gonzalez; A D Auvil |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Computers in biology and medicine Volume: 21 ISSN: 0010-4825 ISO Abbreviation: Comput. Biol. Med. Publication Date: 1991 |
Date Detail:
|
Created Date: 1992-02-20 Completed Date: 1992-02-20 Revised Date: 2001-03-23 |
Medline Journal Info:
|
Nlm Unique ID: 1250250 Medline TA: Comput Biol Med Country: UNITED STATES |
Other Details:
|
Languages: eng Pagination: 237-42 Citation Subset: IM |
Affiliation:
|
Department of Physiology and Pharmacology, School of Medicine, Loma Linda University, CA 92350. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Color Computer Graphics* Microcomputers* Pulsatile Flow Signal Processing, Computer-Assisted* Software Ultrasonics* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Development and evaluation of two automated methods for quantifying human muscle sympathetic nerve a...
Next Document: Can the analytic techniques of nonlinear dynamics distinguish periodic, random and chaotic signals?