Iris Satollo
Papers
1
Total Citations
3
H-Index
1
About
Iris Satollo is a pioneering researcher in the intersection of biomedical engineering and smart home automation, with a primary focus on brain-computer interfaces (BCIs) for domotic control. Her seminal work, "Aplicación de interfases lectoras de bioseñales en el contexto de la domótica" (2013), established foundational methodologies for translating cerebral bioseñales into actionable commands for household devices. By systematically evaluating available technologies for reading neural signals, Satollo demonstrated how electroencephalography (EEG) interfaces could be harnessed to enable hands-free control of appliances, lighting, and security systems. This research, which has garnered 3 citations, represents a critical early step toward accessible assistive technologies for individuals with motor disabilities. Her contributions lie in bridging the gap between raw neural data and practical domotic applications, creating a framework for future innovations in adaptive living environments. Satollo's work continues to influence researchers exploring non-invasive BCI systems, particularly in Latin America, where her integration of low-cost biosignal readers with open-source platforms has made smart home automation more inclusive. Her career exemplifies how targeted applied research can transform complex bioseñal processing into tangible quality-of-life improvements.
Research Focus
Key Achievements
Top Papers
- 1