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:
- Pre-process
- Configurate parameters using Signal2Model object
- Create LibphysMBGRU Object, which is a model object
- Train Model using LibphysMBGRU.train
- Save Model using LibphysMBGRU.save
- Load Model using LibphysMBGRU.load
- Synthesize using LibphysMBGRU.generate_online_predicted_signal!
As a tuturial you can check some examples. In the sandbox directory, please use the following examples by order:
- process_ecg_example
- train_ecg_example
- online_synthesizer_example
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.
If you have any inqueries, do not hesitate to contact me - David Belo (djsabelo_at_gmail.com). I am friendly! (sometimes :P)