Francisco Grandas
Papers
1
Total Citations
242
H-Index
1
About
Francisco Grandas is a leading figure in movement disorders, with a particular focus on Parkinson’s disease and gait analysis. His work bridges clinical neurology and biomedical engineering, most notably through his highly cited 2018 study on inertial measurement unit (IMU)-based classification of Parkinson’s disease from gait. This landmark paper, with 242 citations, systematically examined how sensor location and feature selection affect diagnostic accuracy, providing a foundational framework for wearable technology in movement disorder assessment. Grandas’s research has been instrumental in demonstrating how miniaturized, on-board computational sensors can translate from industrial applications—such as navigation and robotics—into practical clinical tools for objective, non-invasive monitoring. His contributions have helped establish quantitative gait analysis as a reliable biomarker for Parkinson’s disease, enabling earlier detection and more precise tracking of disease progression. By integrating engineering principles with clinical neuroscience, Grandas has advanced both the understanding of parkinsonian gait pathology and the development of accessible, real-world monitoring solutions. His work continues to shape how clinicians and researchers leverage wearable sensors to improve diagnosis and management of movement disorders.
Research Focus
Key Achievements
Top Papers
- 1