Hwa Sen Lai

National University of Singapore

Papers

4

Total Citations

204

H-Index

4

About

Hwa Sen Lai is a leading researcher in neurorehabilitation engineering, with a focus on developing soft robotic systems for stroke recovery. His work centers on integrating brain-computer interfaces (BCIs) with wearable robotic gloves and socks to restore hand and foot function in chronic stroke patients. Lai’s most influential contribution is the BCI-Controlled Soft Robotic Glove (BCI-SRG), which combines neural decoding with activities of daily living (ADL)-oriented tasks. A 2020 randomized feasibility study (153 citations) demonstrated its clinical potential, showing significant motor improvements. He further advanced the field with a bidirectional fabric-based soft robotic glove (2023, 28 citations) that assists both grasping and releasing. Lai has also explored the neurophysiological mechanisms of soft robotic therapy, revealing how proprioceptive stimulation alters motor cortex activation and brain connectivity (2021, 15 citations). Beyond device development, he applies early health economic modeling to guide innovation, as seen in his work on a soft robotic sock for post-stroke patients in Singapore (2023, 8 citations). His research bridges engineering, neuroscience, and health economics, offering practical, scalable solutions for stroke rehabilitation.

Research Focus

Key Achievements

4
H-Index
4
Papers
204
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke
153 citations · 2020
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: National University of Singapore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago