Abstract
Acknowledgements
I would like to express my gratitude to my supervisors: Amy Loutfi, Per Dahl
and Gunnar Akner, who were consistently providing me with both good advice
and technical equipment during the project. I would also like to thank personnel
and patients of the Backagården medical facility for their participation and
patience during the experimental part.
Contents
1 Introduction 17
1.1 Motivation . . . .
1.2 Task description . .
1.3 Thesis outline . . . . . . . . . .
2.1 Remote Monitoring of Physiological Parameters . . .
2.2 Processing Device . .
2.3 Data Processing for Ubiquitous systems .
2.3.1 Change point detection . . . . . .
2.3.2 Anomaly detection . . . .
2.4 Decision Support System in Remote Monitoring Applications .
3.1 Sensors . . .
3.1.1 Accelerometer
3.1.2 Nonin Wrist 0x2 . . .
3.2 Processing Device . . .
3.2.1 Samsung smart-phones . . . . .
3.2.2 Application development . . .
3.2.3 Data collection . .
4.1 Change Point Detection .
4.2 Anomaly Detection
4.3 Activity Correlation .
5 Patient Trials 53
5.1 Target group .
5.2 Results . . . . .
12 CONTENTS
6 Conclusion 63
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