Over the last few years, the development of Internet of Things (IoT)-Enabling solutions are spurring the advent novel and fascinating in smart healthcare applications. Event-Triggering (ET) is an upcoming technology paradigm for monitoring, optimization and control in the Internet of Things (IoT) that achieves improved levels of operational efficiency. In this paper, we propose a novel signal quality-aware Internet of Things (IoT)-Enabled Electrocardiogram (ECG) system for continuous cardiac health monitoring systems. The objective of this paper is to optimize a technique to remove Baseline Wander (BW) from Electrocardiogram (ECG) signals based on the Hilbert Vibration Decomposition (HVD) technique and Signal Quality Index (SQI) as a trigger for a power saving strategy is presented. It is proposed to realize an IoT-enabled architecture for ECG system framework using Programmable System on Chip, Bluetooth, and cloud server. The proposed framework can validate by using the ECG signals taken from the MIT-BIH arrhythmia and Physionet challenge databases and the real-time recorded ECG signals under different physical activities. This paper further shows that the transmission of acceptable quality of ECG signals can significantly improve the battery lifetime of IoT-enabled devices. The proposed quality-aware IoT paradigm has great potential for assessing clinical acceptability of ECG signals in improvement of accuracy and reliability of unsupervised diagnosis system.
Volume 10 | Issue 4
Pages: 333-339