From signals to applications
A selection of Scignals articles, publications and accessible reading on how biomedical signals are recorded and what they can be used for.
Scignals articles
- Recording signals with Signalino: an introduction to biosignal acquisition and the original platform.
- Sleep, memory and closed-loop auditory stimulation: the principles of CLAS and our MemBoost project.
- Brain–robot interfaces and neurorehabilitation: the technological foundations of Scignabot and its relationship with TRAINER.
- Neurorehabilitation after stroke: background to our work, including the figures used in 2019.
Blog
Science articles reproduced here in Spanish, with their images and a source link at the end.
- CLAS: sounds in time with the brain
- EEG: Decodificando el lenguaje del cerebro
- Interfaz cerebro-máquina: ¿Cómo conectamos mentes y máquinas?
- La memoria y los ritmos del sueño: una danza neuronal durante el sueño de ondas lentas
Publications
Optimización de Signalino: Amplificador comercial inalámbrico de bajo coste
Undergraduate thesis by Javier Guillén Colomer, Universidad Carlos III de Madrid, 2019. Supervisor: Nazario Félix-González. It examines the Arduino Due-based Signalino architecture and the development of a LabVIEW acquisition and visualization interface.
Read the thesis in the UC3M repository (PDF, in Spanish).
For the current tools, visit Signalino and its official repository.