Tanvi Bhatt
Papers
2
Total Citations
7
H-Index
2
About
Tanvi Bhatt’s research sits at the intersection of neurorehabilitation and assistive robotics, with a focus on restoring lower limb function after stroke. Her work explores how technology can amplify recovery by targeting both motor control and sensory feedback. In a 2021 case series, she demonstrated that robotic-assisted ankle training can improve gait mechanics in stroke survivors, laying groundwork for more personalized, high-intensity rehabilitation protocols. Expanding on this, her 2022 study introduced a novel multimodal approach—combining assisted movement, biofeedback, and proprioceptive stimulation—to significantly reduce lower limb motor impairment and enhance walking ability. Though early in her citation trajectory, with papers accumulating 5 and 2 citations respectively, Bhatt’s contributions are notable for their translational potential: she is designing interventions that bridge the gap between laboratory robotics and real-world clinical application. Her work signals a shift toward integrated, patient-responsive therapies that address the complex sensorimotor deficits underlying post-stroke gait disability. For students and researchers in rehabilitation engineering, Bhatt’s studies offer a compelling model of how thoughtful, mechanism-driven technology design can transform recovery outcomes.
Research Focus
Key Achievements
Top Papers
- 1
- 2