Module
Description
Design
of ECG data read Module
ü In
the proposed Design Multiple data sets
can be extracted from different patients who is having cardiac disease and who
appears normal in cardiac system can be takes as test.
ü The data sets are nothing but the patient’s original
electro-cardio gram peak voltage values taken as PQRST waves
ü These data are further stored in a text file for
file reading
ü In the VHDL code we write a file read process which
read the peak voltage values in decimal or binary format. Which is converted in
a simple MATLAB code
Design
of Signal analysis Module
ü The information are further stored in a dedicated digital LUT designed in
VHDL code.
ü Signal Analysis Module is used to classify the signal information peak values and pick
the best value to process.
ü ECG information have lots of peak threshold levels, each levels conveys
the disease related accurate check points
ü We have a detailed data base of cardiac disease which are able to detect
by the PQRST wave can be stored in separate Latched Flip flop based LUTS
ü
Example, If a patient is
possibly have a mild attach his PQRST check points such as ELOW will be less
threshold , NR enabled will be HIGH in state.These kind of threshold
information are stored in a clock controlled LATCHES
Design
of Classification Algorithm
ü In the Classification
Module we get the constant values of check points which
are going to be considered.
ü Input patient samples are also further multiplied with a fixed constant
to make the measurement more accurate.
Design
of integration module
ü Integration module consists of port mapping algorithm, component
declarations to enable the main module enclose the sub modules with the Top
module.
ü The architecture of the proposed was able to work with min of KHZ to High
speed of MHZ for storing.
ü Data are predicted with respect to the heart pulses. Various cardiac
diseases can be detected by this method efficiently.
Advantages of Proposed
Design
ü Data
acquisition accuracy is increased to 90%
ü Multiple
cardiac diseases can be detected
ü Critical
Points are measured in high resolution
Visit our Google Page here
