To help patients get accurate and timely detection of heart arrhythmias by biodata and AI
Electrocardiogram (ECG) Monitoring Module
A Wearable ECG Monitor for Deep Learning Based Real-Time Cardiovascular Disease Detection
As shown in Figure 1, the proposed system consists of three components: ECG sensing, IoT cloud, and client. An ECG sensor can generate an electrocardiogram by collecting electrical signals generated by each heartbeat of a human body. Figure 2 illustrates three main units of a sensor: a sensing unit, a control unit, and a wireless transmit unit.
The three waveforms are (1) P waves produced by atrial agitation, the average p-wave time length is 0:12 second, and the average peak is 0:25mv.
When the atrium expands, the P wave can exhibit a higher tip or double-peak waves when the atria are abnormal. (2) The QRS wave group is the reaction of the point of the left and right ventricle. The QRS wave group represents the ventricular depolarization, and the agitation time length of normal duration should be less than 0:11 seconds. When the conduction block, ventricular enlargement or hypertrophy of the left and right bundle of the heart appears, the QRS wave group would be enlarged, deformed and prolonged. (3) T wave represents the potential of the recovery after ventricular agitation. The change of T wave is affected by a variety of factors, and normal T wave should be in the same direction as the QRS main wave.
ECG Monitor - IREALCARE 2.0