Santiago Felipe Luna Romero
Papers
1
Total Citations
4
H-Index
1
About
Dr. Santiago Felipe Luna Romero is a pioneering researcher in embedded biomedical systems and electromyographic (EMG) signal processing. His work centers on developing low-cost, high-precision hardware-software solutions for real-time biosignal acquisition and classification, with a focus on making advanced prosthetic and rehabilitation technologies accessible. His most-cited paper, "Low-Cost Embedded System Proposal for EMG Signals Recognition and Classification Using ARM Microcontroller and a High-Accuracy EMG Acquisition System" (2020), demonstrates a breakthrough in integrating ARM microcontrollers with high-fidelity EMG acquisition to achieve accurate muscle signal recognition—a critical step toward affordable, portable assistive devices. With 4 citations, this work underscores his impact in bridging the gap between clinical-grade performance and cost-effective implementation. Dr. Luna Romero’s contributions are particularly notable for their emphasis on embedded system optimization, enabling real-time classification without sacrificing accuracy. His research holds promise for transforming myoelectric control in prosthetics and human-machine interfaces, offering a scalable path for resource-limited settings.
Research Focus
Key Achievements
Top Papers
- 1