Mobile sensing and network analytics for realizing smart automated systems towards health Internet of Things

Abstract

Internet of Things (IoT) provides an unprecedented opportunity to realize smart automated systems such as smart manufacturing, smart city and smart home in the past few years. Pervasive sensing and mobile technology deployed in large-scale IoT systems lead to the accumulation of big data. In particular, wearable biosensing accelerates human-centered computing for smart health management. However, limited work has been done to develop advanced IoT technologies for smart monitoring and control of heart health. There is an urgent need to develop a new IoT technology specific to the heart, namely Internet of Hearts (IOH) that will enable and assist (1) the acquisition of electrocardiogram (ECG) signals pertinent to space-time cardiac dynamics at anytime anywhere; (2) real-time management and compact representation of multi-sensor signals; (3) big data analytics in large-scale IoT contexts. This paper presents a new technology of Mobile and E-Network Smart Health (MESH), which is composed of 4 components as follows: 1) Mobile-based ECG sensing device; 2) Space-time representation of cardiac electrical activity; 3) Optimal model-based representation of ECG signals; 4) Dynamic network embedding for disease pattern recognition. Our preliminary experimental results demonstrated that network analytics is efficient and effective for smart health management in IoT contexts. The MESH technology shows strong potentials to provide an indispensable and enabling tool for realizing smart heart health and wellbeing for the population worldwide.