From Robin

Contents 1 Master 1.1 Thesis Structure 1.2 Questions 1.3 Results

Master

Thesis Structure

• Introduction
• Background
  • The Human Heart
  • Deep Learning
  • Time-Series Signals
  • Classifiers And Regressors
  • Signal Processing Theory
  • Available Data
• Experiment 1: Domain Analysis
  • Idea
  • Data preparation
    • Time feature independent data set
    • Time feature dependent data set
  • Implementation
  • Results
• Experiment 2: Classifying Cardiac Heart Functions
  • Idea
  • Preparations
  • Implementation
  • Results
• Experiment 3: Image Classification
  • Idea
  • Preparations
  • Implementation
  • Results
• Relation To Previous Research
• Future Work
• Conclusion

Questions

Is it possible to use motion data to predict the condition of the human heart? If so, can Deep Learning be used, and is it effective?

Do we need an invasive method for classification (accelerometer), or is it sufficient with a non-invasive method (ECG)?

Results