Electrocardiogram (ECG) represents electrical activity. It is
the small amount of electrical impulses produced by the heart, which spread
over the heart muscles to contract. An ECG machine records these pulses, which
can help doctors to check heart rhythm, Diagnose a heart attack, check ischemia
and other heart abnormalities. The ECG test is harmless and painless, use to
record electric impulses, but it does not put back any sort of electricity into
your body 1. We normally get ECG signal by using several electrodes attached
to our body in different positions. The current standard position is 12-Lead
Position, which place ten electrodes, six electrodes on the chest V1-V6 and
four on the limbs LA, RA, LL, and RL to record the electrical impulses.

In this paper we
have recommended the method to distinguish a normal signal with diseased
signal. The model consist of several parts. The raw data is taken from MIT-BIH
Arrhythmia Database which is considered to be the incoming signal, the signal
has been pre-processed for noise and baseline error removal. Processing of
signal is performed by extracting features from it. In the raw ECG signal, it
is essential to extract and analyze the following ECG parameters: P, QRS and T
waves. QRS – Q wave, R-R wave Interval and R-S wave. Such processed signal is ready
for machine learning methods to to get results2.

Figure 1 Proposed Model



According to a statement by World Health Organization (WHO),
Cardiovascular Diseases (CVDs) are the number one cause of deaths worldwide. In
2015, estimated 17.7 million people died due to CVDs. Of these deaths, 7.4
million were due to coronary heart disease and 6.7 due to heart attack. People
with hypertension, diabetes or hyperlipidemia are more likely to get heart
diseases. Most CVDs can be prevented by addressing unhealthy factors in our
daily life such as, use of tobacco, physical inactivity, improper diet and
intensive use of alcohol. The impacts of behavioral risk elements may appear in
people as increased blood pressure, increased blood glucose, high blood lipids,
and overweight. These “middle level factors” can be estimated in
essential medical centers and indicate an increased chances of developing a
heart stroke, heart disappointment and different other heart problems. 3.

CVDs are the scope of ailments that influence the structure
or working of heart and vessels. CVDs may include arrhythmia, heart absconds,
vessel diseases, Heart valve diseases and Heart muscle disease


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