Back to the workflow
Introduction
1
Objectives and the research question
2
Principles
3
Materials and methods
3.1
Softwares
3.1.1
Pipeline management
3.1.2
Reports management
3.1.3
Modeling and parameter tuning
3.1.4
Continuous integration
3.2
Developed software
3.2.1
Matrix Profile
3.3
The data
3.4
Work structure
3.4.1
Project start
3.4.2
RAW data
3.4.3
Preparing the data
3.4.4
Detecting regime changes
3.4.5
Classification of the new regime
3.4.6
Summary of the methodology
3.5
Evaluation of the algorithms
3.5.1
Regime change
3.5.2
Classification
3.5.3
Full model (streaming setting)
4
Current results
4.1
Regime change detection
4.2
Classification
4.3
Feasibility trial
5
Scientific contributions
5.1
Matrix Profile
5.2
Regime change detection
6
Scientific outcomes
Conclusion
Appendix
A
The First Appendix
B
The Second Appendix, for Fun
References
Detecting life-threatening patterns in Point-of-care ECG using efficient memory and processor power
B
The Second Appendix, for Fun