A Modern Cardiac Monitoring System Based on Wireless Sensing for Human Health Care

Auscultation is very important to physicians for accurate diagnosis of many heart diseases. Physicians need extensive training and experience in identifying and differentiating the main signs of cardiac diseases based on the heart sound that is being heard. It is essential to continuously monitor the heart activity and transmit the data to a remote centre for analysis. A modern cardiac monitoring system dependent on remote detecting to screen and investigate the cardiovascular condition is presented with the utilization of Internet of Things (IoT) which sends the data to the doctor. The system is low cost, easy and power efficient. The latest MQTT (Message Queuing Telemetry Transport) data protocol is used for data transmission. On the signal analysis part, Empirical Mode Decomposition method in conjunction with Hilbert-Huang Transform is used to realize preprocessing. Heart sound segmentation is done with efficient and accurate combined adaptive threshold method which forms a basis for feature extraction and classification to extract useful physiological parameters from heart sounds.