Biomedical Engineering Application Brief
Cardiology
The Solution
Dr. Evans's team uses the graphic display data processing software
DADiSP, by
DSP Development Corporation, to meet their data processing
needs. Dr. Evans states, "The use of DADiSP has dramatically
decreased the time spent extracting and analyzing data, markedly
increasing research output. Since more research means more patients
helped, DADiSP is a vital part of Dr. Evans's team.
Multiple Channels
To record the signal from an arrhythmia patient's heart, Dr. Evans
inserts a small catheter with a wire tip into the heart, an operation so
exacting that it has to be done under x-ray guidance. The signal from
the beating heart is recorded by an EP Lab System, a cardiac mapping
system manufactured by Bard. This device digitizes and displays in
real time 20 channels of data from the waveforms being picked up inside
the heart, stores them to optical disk, and sends them to a chart
recorder which records them on paper. Only three or four of the 20
recorded channels are necessary, so these are put into a single binary
file by an application supplied by Bard for this purpose and read
directly into DADiSP.
Neural Network Preprocessing
DADiSP is used to extract and analyze relevant information from the
cardiac signal. Since there are several types of arrhythmia, the
analysis must yield the basic shape of a patient's heartbeat waveform
for submission to the neural network, where its precise type is
determined.
Heartbeat Peak Analysis
To begin the analysis, DADiSP pulls apart the binary file into separate
channels, then gets the peaks of each individual heartbeat using a peak
detection algorithm. Each peak is used as a guide for a
first-approximation extraction of the significant part of the waveform
surrounding it. The first derivative of the extracted data is taken,
which permits a more accurate extraction of the original signal. The
amplitude of the waveform has to be normalized, a process easily
accomplished with DADiSP, so that amplitude differences will not
interfere with the neural network's assessment of the overall shape.
After this and several other steps, the waveform is concatenated with
the rest of the extracted data to create the final data series. A long
segment of cardiac electrical activity is now ready for submission to
the neural network for evaluation of the type of arrhythmia present.
DADiSP - Simple, Powerful and Flexible
Dr. Evans says, "DADiSP is simplicity in itself to use." He
appreciates the power and flexibility of DADiSP's many commands and
simple command structure, and says he likes the fact that a change in
one command or input parameter can enable DADiSP to accommodate a wide
range of input data. He also appreciates how helpful the support staff
at DSP have been in helping him set up and maintain his system.