Dissertation/Thesis Abstract

A Radio Frequency Identification Multi-Sensor Health Monitoring System
by Sakki, Kranthi Kumar, M.S., California State University, Long Beach, 2017, 30; 10262351
Abstract (Summary)

Health Monitoring Systems (HMS) are used to monitor physiological signals such as the blood pressure, heart rate, and temperature of patients. The use of a HMS for continuous monitoring of the Vital Signs of patients requiring constant medical supervision, is particularly important. The current project presents the development and implementation of a multi-sensor HMS to track and record multiple parameters of a patient (Electrocardiogram, pulse, temperature, and body position). The project development uses biomedical sensor technology for monitoring the physiological signals, Radio Frequency Identification (RFID) technology for patient identification, and the Internet of Things (IoT) for information transmission. Sensors attached to a patient’s body collect data that alert users to abnormal values via smart devices, such as mobile phones or laptops. Experimental testing of the multi-sensor HMS developed and implemented for this project, demonstrates the system’s effectiveness in sensing, collecting, and transmitting accurate patient information for remote monitoring.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Khoo, I-Hung, Yeh, Hen-Geul
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 56/04M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Electrical engineering
Keywords: Health monitoring system, Internet of Things, Radio frequency identification
Publication Number: 10262351
ISBN: 978-1-369-71572-9
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