ABSTRACT. We draw on a substantial body of theoretical and empirical research on wearable Internet of Medical Things sensor devices for health monitoring, and to explore this, we inspected, used, and replicated survey data from Accenture, AT&T, IDC, MarketsandMarkets, Massachusetts Medical Society, NEJM Catalyst, PAC, and YouGov/Trustmarque, performing analyses and making estimates regarding Internet of Medical Things market segmentation by component and application ($ billion), top benefits of using technology for patient engagement (%, multiple responses), and consumer attitudes towards connected and wearable healthcare devices (%). Structural equation modeling was used to analyze the data and test the proposed conceptual model.

Keywords: wearable medical Internet of Things sensor device; health monitoring

How to cite: Byerly, Kirsten, Ladislav Vagner, Iulia Grecu, Gheorghe Grecu, and George Lazaroiu (2019). “Real-Time Big Data Processing and Wearable Internet of Medical Things Sensor Devices for Health Monitoring,” American Journal of Medical Research 6(2): 67–72. doi:10.22381/AJMR62201910

Received 27 June 2019 • Received in revised form 10 September 2019
Accepted 14 September 2019 • Available online 22 September 2019