diff --git a/README.md b/README.md index 1506a67..2ac922d 100644 --- a/README.md +++ b/README.md @@ -60,6 +60,48 @@ This project was implemented in Python. To use the project, all packages listed - Demographic data was plotted - Start exploring signal processing + + +#### Hypothesen +The following two hypotheses were applied in this project: + +- Using ECG data, a classifier can classify the four disease groupings with an accuracy of 80%. + +- Sinus bradycardia occurs significantly more frequently in the 60 to 70 age group than in other age groups. +The procedure was as follows: + +1. +2. +3. +4. + +### Demographic plotted + +#### Correlation matrix + +The following figure shows a correlation matrix of age groups and diagnoses. This matrix describes the four diagnosis groupings on the horizontal axis and the age groupings in decade increments on the vertical axis. + +The colour scale represents the correlation between the two types of categorization: + +- Blue (low) +- Red (high) + +The exact procedure for creating the matrix can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb). + +![Alt-Text](readme_data/Korrelationsmatrix.png) + + + +#### Histogramm +The following histogram shows the age distribution. It illustrates the breakdown of the grouped diagnoses by age group as well as the absolute frequencies of the diagnoses. + +The exact procedure for creating the histogram can be found in the notebook [demographic_plots.ipynb](notebooks/demographic_plots.ipynb). + + +![Alt-Text](readme_data/Histogramm.png) + + + ## Contributing - coming at the end of the Project... diff --git a/readme_data/Histogramm.png b/readme_data/Histogramm.png new file mode 100644 index 0000000..7176d65 Binary files /dev/null and b/readme_data/Histogramm.png differ diff --git a/readme_data/Korrelationsmatrix.png b/readme_data/Korrelationsmatrix.png new file mode 100644 index 0000000..f500a7f Binary files /dev/null and b/readme_data/Korrelationsmatrix.png differ