Peh Er Tow
Papers
2
Total Citations
5
H-Index
2
About
Peh Er Tow is a biomedical engineer whose research focuses on neurorehabilitation and assistive robotics for spinal cord injury recovery. Her key contributions lie in developing computational methods to decode and synchronize limb movements in injured animal models. In her most cited work, she pioneered an automatic inference system that synchronizes a rat’s hindlimb trajectory with its forelimb gait phase, achieving natural walking patterns after total spinal transection—a critical step toward building rehabilitation robots that mimic biological gait. Her follow-up research introduced a real-time phase learning algorithm that extracts movement phase from both forelimb and hindlimb signals, addressing the challenge of high signal variability in assistive devices. Though her citation counts are currently modest (3 and 2 citations respectively), these papers represent foundational work in a niche but vital area: restoring interlimb coordination through closed-loop robotic systems. Tow’s research directly addresses the translational gap between neural control and mechanical assistance, offering a pathway toward more adaptive, patient-specific rehabilitation technologies for spinal cord injury.
Research Focus
Key Achievements
Top Papers
- 1
- 2