This study is focused on Printing and Signing ECG
(Electrocardiograph) Leads in PDF files.The most widely used signal
in clinical practice is the ECG. ECG conveys information regarding
the electrical function of the heart, by altering the shape of its
constituent waves, namely the P, QRS, and T waves. In the first
part describes the ECG pattern recognition and their classification
using non-linear transformations and neural networks. Second part
of the study consists of ECG Data processing and Recording System.
This study is oriented towards printing and signing ECG signal in
Portable Document Format (PDF) owing to its importance, because it
is a file format used to represent documents in a manner
independent of application software, hardware, and operating
systems.In the results and discussion section requirements and the
constraints that characterized the work development are presented,
together with the design issues encountered and the solutions
adopted. Finally java development tools have been used to enable
signing ECG leads on PDF file.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
United States |
Release date: |
December 2012 |
First published: |
December 2012 |
Authors: |
Shorna Lutfun Nahar
|
Dimensions: |
229 x 152 x 4mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
72 |
ISBN-13: |
978-3-8473-2630-4 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
|
LSN: |
3-8473-2630-9 |
Barcode: |
9783847326304 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!