The mortality rate has risen due to the increase in number of cardiac patients in recent times due to the lack of unawareness of the symptoms. This work mainly aims to detect the anomalies of the rhythmic conditions of the pulse derived from the electrocardiogram (ECG) pattern based on correlation and the method of mapping. As this device is a programmable one and a real-time application wearable system on the wrist which is physically connected to the veins, it continuously monitors the photoplethysmography (PPG) pattern based on certain parameters and rhythmic conditions, it ensures whether the patient is under the safe condition or not. The salient features of PPG waveform are extracted with respect to various abnormal categories of ECG beats subdivided into various time durations of one, two and three. The PPG pattern using various feature extraction and the correlation transforms with the signal processing application. The extracted features help to find the skipped beat with irregularities of the rhythm will activate the emergency condition protocol in the device. The location of the patient with a critical condition is sent to the nearest health centre. This innovation is a portable one and a user-friendly application which can save many lives in the society.
Keywords: PPG pattern; PPG waveform; cardiac patients; correlation transforms; diseases; efficient diagnosing; electrocardiogram pattern; electrocardiography; emergency condition protocol; feature extraction; health care; heartbeat; medical signal detection; medical signal processing; mortality rate; patient; patient diagnosis; photoplethysmography; photoplethysmography pattern; pulse rhythmic rate; real-time application wearable system; recent times; rhythmic conditions; safe condition; salient features; time durations; user-friendly application.