PUKYONG

Healthcare Cloud for Seamless Noncontact ECG Monitoring System

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Alternative Title
연속적인 비접촉 심전도 모니터링 시스템을 위한 헬스케어 클라우드
Abstract
Promising developments in healthcare technology have fostered a dramatic growth of interest in noncontact capacitive coupled electrocardiography (ECG) measurement techniques. Specific interest in noncontact ECG measurement originated in the need to monitor patients over extended periods of time while ensuring their comfort. In this study, a capacitive electrocardiography (cECG) technique using a non-invasive ECG measuring technology that does not require direct contact between the sensor and the skin is developed. In this system, electrocardiogram information can be obtained through clothing using a pair of sensor electrodes installed on the chair seat. With the dramatic rise of intelligent consumer electronics, it has become possible to constantly measure and collect bio-signal data, without the presence of personal assistants or physicians.
In seamless noncontact health monitoring system, biomedical data is measured noninvasively and ECG identification is presented to avoid patient identity confusion. Biomedical data is collected in real time employing various smart consumer electronic devices at multiple locations to monitor the health of multiple patients. Besides, GPS-based location tracking and prescribed medication reminders are presented and coordinated by a health monitoring Web server and Web page system in order to manage data within a cloud-based architecture. Therefore, our proposed system allows biomedical signal data collected from multiple locations to be synchronized into a healthcare Web server cloud computing system. This enables real-time collection and dissemination of personal health data by patients and healthcare professionals at any time and from anywhere.
Author(s)
Ee-May Fong
Issued Date
2013
Awarded Date
2013. 8
Type
Dissertation
Publisher
부경대학교 대학원
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/25395
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001966468
Alternative Author(s)
퐁이메이
Affiliation
대학원
Department
대학원 전자공학과
Advisor
정완영
Table Of Contents
1.0 Introduction 1
1.1 Motivation 3
1.2 Challenges 4
1.3 Research Objectives 5
1.4 Chapter Organization 5
2.0 Background and Related Works 6
2.1 Electrocardiography (ECG) 6
2.1.1 Heart Function and Cardiac Cycle 7
2.1.2 Resting Heart Rate 9
2.1.3 Health Indication of Abnormal Resting Heart Rate 11
2.2 Electrocardiograms (ECG) Measurement Methodologies 14
2.2.1 Conventional ECG Measurement 14
2.2.2 Capacitive Coupled Noncontact ECG Measurement 15
2.3 Biometric Technology 17
2.3.1 Fiducial Detection Method 19
2.3.2 Non-fiducial Detection Method 19
2.4 Android Mobile on Healthcare Service 19
2.5 Cloud Computing Technology 20
2.6 Cost-Effective Personal Health Care 21
3.0 System Design and Implementation 22
3.1 System Overview 22
3.2 Subsystem Description 24
3.2.1 Data Acquisition Module 24
3.2.2 Bio-signal Analysis 25
3.2.3 Web Server Cloud Computing 25
4.0 Data Acquisition Module 26
4.1 Capacitive Coupled Noncontact Electrocardiography 28
4.2 Conductive Fabric Sensor Electrodes 31
4.2.1 Problems Statement 31
4.2.2 Designed Sensor Electrodes 34
4.2.3 Signal-to-noise Ratio 35
4.3 Analog Signal Processing 36
4.3.1 Environmental Noises and Challenges in ECG Recording 37
4.3.2 Analog Circuit Design 39
4.4 Wireless Data Transmission 47
5.0 Software Design for Bio-signal Analysis 52
5.1 ECG-based Human Identification 53
5.1.1 Autocorrelation (AC) 54
5.1.2 Discrete Cosine Transform (DCT) 56
5.1.3 Euclidean Distance 56
5.2 Heart Rate Calculation 57
6.0 Web Server Cloud Computing 59
6.1 Healthcare Web-based Service 60
6.1.1 Web Hosting 60
6.1.2 MySQL Database 63
6.1.3 PHP Scripting Language 64
6.1.4 File Transfer Protocol (FTP) 65
6.2 Healthcare in Cloud Computing 68
6.2.1 Communication Between Mobile and Web Server 69
6.2.2 Synchronization of Health Data 71
7.0 Experimental Results and Performance Analysis 75
7.1 Experiments and Testing 75
7.1.1 Hardware Setup 76
7.1.2 Testing Environment 79
7.2 Performance of Various Electrodes 84
7.2.1 Signal-to-noise Ratio 87
7.3 Circuit / PCB Board Testing 92
7.4 ECG-based Human Identification 93
7.4.1 ECG Template Extraction 93
7.4.2 ECG Template Matching 96
7.4.3 Performance Analysis 97
7.5 Android Real-time Monitoring 98
7.5.1 ECG Monitoring and Location Tracking 98
7.5.2 QR Code Medication Reminder 99
7.6 Web Server Cloud Computing 101
7.6.1 Web Server SQL Database 102
7.6.2 Operational Web Page 104
8.0 Conclusions 107
Degree
Master
Appears in Collections:
대학원 > 전자공학과
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