Signal Processing Toolkit - Documentation!¶

Important
Version: 0.0.9.6 | Released on 27/05/2023
- Authors:
Nikesh Bajaj, Jesús Requena Carrión
- Home:
New in 0.0.9.6
MEA: Multi-Electrode Arrays Processing
Geomatrical Functions
Differential Entropy, Transfer Entropy,
Signal differentiation, spatial filters
Homepage spkit - https://spkit.github.io
Getting started¶
Information Theory¶
Dispersion Entropy (time-series, physiological signals)¶
EEG Artifact Removal Algorithms¶
- ATAR - Automatic and Tunable Artifact Removal Algorithm for EEG
- Blind Source Seperation - ICA Based Artifact Removal
Multi-Electrode Arrays Processing: MEA¶
- Multi-Electrode Arrays Processing
- Backgorund
- Complete Analysis of a recording
- Step-wise Analysis
- 1. Read HDF File
- 2. Stim Localisation
- 3. Alignment of Stim Cycles
- 4. Averaging Cycles or Selecting one
- 5. Activation Time
- 6. Repolarisation Time (optional)
- 7. APD (if RT is computed)
- 8. Extracting EGM
- 9. EGM Feature Extraction
- 10. Identifying BAD Channels/electrodes
- 11. Creating Feature Matrix
- 12. Interpolation
- 13. Conduction Velocity
- Plots and Figures
- Extracting EGM
- EGM Processing & Feature Extractions
- Conduction and Activation Map
Complex Continuous Wavelet Transform¶
Ramanujan Filter Banks for Period Estimation¶
Analysis and Synthesis Models¶
DFT and STFT for Analysis and Synthesis of signals¶
#TODO