A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing

Current technology provides an efficient way of monitoring the personal health of individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a solution for monitoring personal vital signs data. In this study, we propose a personalized healthcare monitoring system by utilizing a BLE-b...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 18; H. 7; S. 2183
Hauptverfasser:	Alfian, Ganjar, Syafrudin, Muhammad, Ijaz, Muhammad Fazal, Syaekhoni, M. Alex, Fitriyani, Norma Latif, Rhee, Jongtae
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 06.07.2018 MDPI
Schlagworte:	Adult Artificial intelligence BLE Blood Glucose - analysis Blood Glucose Self-Monitoring classification Data processing Diabetes Diabetes Mellitus - diagnosis Diabetes Mellitus - physiopathology Female forecasting Humans Male Monitoring, Physiologic - instrumentation Monitoring, Physiologic - methods real-time data processing Sensors Smartphone Vital signs Wireless Technology BLE classification diabetes forecasting real-time data processing
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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