Santiago Murano

Universidad de Alcalá, Universidad Rey Juan Carlos

Papers

2

Total Citations

31

H-Index

2

About

Santiago Murano is a researcher at the forefront of acoustic positioning and neurorehabilitation engineering. His work primarily spans two critical domains: developing precise indoor localization systems and creating advanced platforms for robotic neurorehabilitation. Murano’s most influential contribution is his 2019 study on acoustic encoding schemes, which has garnered 29 citations. In this work, he systematically evaluated Zadoff–Chu, Kasami, and chirp-based methods for acoustic local positioning systems, addressing the persistent challenge of accurate indoor coordinate determination—a technology vital for robot navigation, augmented reality, and ambient-assisted living. More recently, Murano has ventured into biomedical engineering with his 2025 paper on System-on-Chip (SoC) platforms for EMG-guided robotic neurorehabilitation. This innovative work proposes a hardware-software solution that leverages electromyography signals to detect motor intentions, enabling precise control of therapeutic exoskeletons for stroke and injury recovery. By bridging acoustic signal processing with neurorehabilitation robotics, Murano demonstrates a versatile research portfolio that tackles both foundational sensing challenges and applied medical technologies, positioning him as an emerging contributor to assistive and positioning systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of Zadoff–Chu, Kasami, and Chirp-Based Encoding Schemes for Acoustic Local Positioning Systems
29 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Universidad de Alcalá, Universidad Rey Juan Carlos

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago