djsabelo/biosignalsynthesis

This package contains methods for processing biosignals and produce models which can synthesize them

BiosignalSynthesis

This tool is aimed to learn and synthesize biosignals, in case they have a pattern that repeats over time. In order to use this tool, please follow the following order:

1. Pre-process
2. Configurate parameters using Signal2Model object
3. Create LibphysMBGRU Object, which is a model object
4. Train Model using LibphysMBGRU.train
5. Save Model using LibphysMBGRU.save
6. Load Model using LibphysMBGRU.load
7. Synthesize using LibphysMBGRU.generate_online_predicted_signal!

Get started!

As a tuturial you can check some examples. In the sandbox directory, please use the following examples by order:

1. process_ecg_example
2. train_ecg_example
3. online_synthesizer_example

If you use this tool, please cite me!

Belo, D., Rodrigues, J., Vaz, J. R., Pezarat-Correia, P., & Gamboa, H. (2017). Biosignals learning and synthesis using deep neural networks. BioMedical Engineering OnLine, 16(1), 115.

Contact

If you have any inqueries, do not hesitate to contact me - David Belo (djsabelo_at_gmail.com). I am friendly! (sometimes :P)