A personalized healthcare monitoring system for diabetic patients by utilizing BLE-based sensors and real-time data processing

Sensors (Switzerland)

Volumn 18, Issue 7, 2018, Pages

  Alfian, Ganjar ^a   Syafrudin, Muhammad ^a   Ijaz, Muhammad Fazal ^a   Syaekhoni, M Alex ^a   Fitriyani, Norma Latif ^a   Rhee, Jongtae ^a  

^a Dongguk University   (South Korea)

Author keywords

BLE; Classification; Diabetes; Forecasting; Real time data processing

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLOOD PRESSURE; CLASSIFICATION (OF INFORMATION); DATA HANDLING; FORECASTING; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MEDICAL PROBLEMS; MHEALTH; SENSOR NODES;

BLUETOOTH LOW ENERGIES (BLE); CHRONIC CONDITIONS; CLASSIFICATION METHODS; CRITICAL CONDITION; CURRENT TECHNOLOGY; PERSONALIZED HEALTHCARE; PHYSICAL ACTIVITY; REAL-TIME DATA PROCESSING;

MONITORING;

ADULT; ANALYSIS; BLOOD GLUCOSE MONITORING; DEVICES; DIABETES MELLITUS; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; MALE; PATHOPHYSIOLOGY; PHYSIOLOGIC MONITORING; PROCEDURES; SMARTPHONE; WIRELESS COMMUNICATION;

ADULT; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; DIABETES MELLITUS; FEMALE; HUMANS; MALE; MONITORING, PHYSIOLOGIC; SMARTPHONE; WIRELESS TECHNOLOGY;

EID: 85049837696     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s18072183     Document Type: Article

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