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  5. iCloudECG: A Mobile Cardiac Telemedicine System
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iCloudECG: A Mobile Cardiac Telemedicine System

Date Issued
December 1, 2015
Author(s)
Clifford, David S.  
Advisor(s)
Xiaopeng Zhao
Additional Advisor(s)
William R. Hamel
Qing Cao
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/39625
Abstract

With rising healthcare costs and a substantially growing number of patients 65 or over, the benefits of telemedicine and patient self-monitoring systems are becoming increasingly evident. Patients, physicians, hospitals, and even insurance providers benefit from vigilant, cost-effective patient monitoring systems. This thesis describes the development of a portable, smart-phone connected system for continuous cardiac monitoring. The system is capable of continuously monitoring the conditions of the heart, automated detection of cardiac arrhythmias, and real-time notifying patients and physicians of the detected abnormalities. The system consists of four main subsystems: 1) a Bluetooth capable chest-strap ECG, 2) an Android-enabled mobile device, 3) a cloud-based analysis, storage, and notification system, and 4) a web-application portal. Data is collected by the single-lead ECG device, and transmitted to the mobile device via Bluetooth. An application allows the patient to view their ECG output in real-time, view the last 24 hours of recordings, and receive notifications and details regarding any detected abnormalities. The mobile device transmits the ECG data to a remote server for pre-processing and analysis, and then stores the data in a database which the patient or physician can access via a web-interface. The developed system can be used as a telemedicine system for management of cardiovascular diseases.

Subjects

Electrocardiogram

ECG

EKG

Telemedicine

Mobile

Analysis

Disciplines
Biomedical Devices and Instrumentation
Cardiology
Diagnosis
Degree
Master of Science
Major
Biomedical Engineering
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

Thesis_Draft___iCloudECG___David_Clifford.pdf

Size

1.37 MB

Format

Adobe PDF

Checksum (MD5)

095a50fcf8248c33446934e7c285e8a3

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