CNN for automated diagnosis of respiratory diseases in audio files

An experimental study was carried out on 74 subjects recorded in two states: an initial state of relaxation followed by a phase of stress where the subject performs different stressful tasks (mental calculation, stroop test which is a color game). Four physiological signals including: ECG, PPG, EDA and EMG are recorded during both phases.

As part of this work, I worked on PPG signal preprocessing. I developed a processing chain including: Exploratory data analysis, PPG signal processing and extraction of temporal, frequency and statistical parameters.

UI / DB System for processing ECG,EMG,EDA signals

Software developed on Python 3.8.10

Packages used

1. PyQt5 5.15.4
2. pyqt5-plugins 5.15.4.2.2
3. PyQt5-Qt5 5.15.2
4. PyQt5-sip 12.9.0
5. pyqt5-tools 5.15.4.3.2
6. PyQt5Designer 5.14.1
7. pyqtgraph 0.12.2
8. qt5-applications 5.15.2.2.2
9. qt5-tools 5.15.2.1.2
10. Neurokit 0.1.7
11. Pandas 1.3.7
12. tsfel 0.1.4
13. hrv 0.2.10