ECG signal analysis using emerging tools in current scenario of health informatics

Health informatics is an important field which is responsible for overall growth of the country’s healthcare management. Today, cardiac related diseases are dominating around the world requires emerging tools in current healthcare scenario. Also, diagnosis of relevant pathologies should be completed before terminal stage. Traditional health care systems were required high computational cost. To analyze the cardiac status of the patient (subject), Electrocardiogram (ECG) is the main tool. ECG is accomplished in the form of signal consisting of three different waves known as P-wave, QRS complex- wave, and T-wave. Unfortunately, the screening of ECG may have minute variations in the obtained results which can lead to wrong heart treatment. This condition motivated to automate the medical informatics system based emerging tools such as 8
^th
order IIR Butterworth filter for pre-processing, chaos analysis (or theory) for feature extraction, and random forest (RF) for classification purpose. The proposed technique is evaluated in terms of Recall (Re), Precision (Pr), and Accuracy (Acc) & obtained Re of 99.93%, Pr of 99.94%, and Acc of 99.86%. The proposed medical informatics system adds the merits of computer science, information science, & healthcare which prepares its major applications in intelligent systems, smart pacemaker, critical cardiac therapies, etc.