Electrocardiogram (ECG) represents electrical activity. It isthe small amount of electrical impulses produced by the heart, which spreadover the heart muscles to contract.
An ECG machine records these pulses, whichcan help doctors to check heart rhythm, Diagnose a heart attack, check ischemiaand other heart abnormalities. The ECG test is harmless and painless, use torecord electric impulses, but it does not put back any sort of electricity intoyour body 1. We normally get ECG signal by using several electrodes attachedto our body in different positions. The current standard position is 12-LeadPosition, which place ten electrodes, six electrodes on the chest V1-V6 andfour on the limbs LA, RA, LL, and RL to record the electrical impulses. In this paper wehave recommended the method to distinguish a normal signal with diseasedsignal. The model consist of several parts. The raw data is taken from MIT-BIHArrhythmia Database which is considered to be the incoming signal, the signalhas been pre-processed for noise and baseline error removal. Processing ofsignal is performed by extracting features from it.
In the raw ECG signal, itis essential to extract and analyze the following ECG parameters: P, QRS and Twaves. QRS – Q wave, R-R wave Interval and R-S wave. Such processed signal is readyfor machine learning methods to to get results2. Figure 1 Proposed Model HEARTDISEASE:According to a statement by World Health Organization (WHO),Cardiovascular Diseases (CVDs) are the number one cause of deaths worldwide.
In2015, estimated 17.7 million people died due to CVDs. Of these deaths, 7.4million were due to coronary heart disease and 6.
7 due to heart attack. Peoplewith hypertension, diabetes or hyperlipidemia are more likely to get heartdiseases. Most CVDs can be prevented by addressing unhealthy factors in ourdaily life such as, use of tobacco, physical inactivity, improper diet andintensive use of alcohol. The impacts of behavioral risk elements may appear inpeople as increased blood pressure, increased blood glucose, high blood lipids,and overweight. These “middle level factors” can be estimated inessential medical centers and indicate an increased chances of developing aheart stroke, heart disappointment and different other heart problems. 3.
CVDs are the scope of ailments that influence the structureor working of heart and vessels. CVDs may include arrhythmia, heart absconds,vessel diseases, Heart valve diseases and Heart muscle disease(cardiomyopathy).