Yew Long Lo

Papers

Total Citations

H-Index

About

Yew Long Lo is a researcher at the forefront of medical robotics and non-invasive neuromodulation, with a primary focus on transcranial magnetic stimulation (TMS) automation. His work addresses a critical gap in neurological treatment: the need for precise, automated positioning of TMS coils to improve therapeutic outcomes. In his highly cited 2013 paper, "Non-contact parametric estimation and localization of human head for transcranial magnetic stimulation (TMS)," Lo proposed a dexterous articulated robotic arm system that autonomously estimates and localizes the human head without physical contact. This innovation eliminates the limitations of manual positioning and earlier contact-based robotic systems, enabling safer, more accurate coil placement. Although his most-cited work has garnered 4 citations, its impact is significant within the specialized field of TMS robotics, laying foundational groundwork for automated neuromodulation platforms. Lo’s contributions are notable for bridging robotics, biomedical engineering, and clinical neurology, offering a scalable solution that enhances both the precision and reproducibility of TMS treatments—a critical step toward personalized, robot-assisted brain stimulation therapies.