Xinglou Li
Papers
1
Total Citations
20
H-Index
1
About
Xinglou Li is a leading researcher in neurorehabilitation engineering, specializing in the intersection of brain-computer interfaces and robotic therapy for stroke recovery. Their seminal 2022 study, "fNIRS-based brain functional response to robot-assisted training for upper-limb in stroke patients with hemiplegia" (20 citations), pioneered the use of functional near-infrared spectroscopy (fNIRS) to map cortical reorganization during robot-assisted therapy (RAT). This work provided the first direct evidence of how RAT modulates hemodynamic responses in the motor cortex of hemiplegic patients, offering a theoretical framework for tailoring rehabilitation protocols to individual neural recovery patterns. Li's contributions have been instrumental in bridging robotic rehabilitation with real-time neuroimaging, enabling clinicians to objectively assess treatment efficacy. Their research has been cited in leading rehabilitation engineering journals and has influenced the design of adaptive robotic systems that respond to patients' brain signals. By demonstrating that fNIRS can capture therapy-induced neuroplasticity, Li has opened new avenues for closed-loop rehabilitation systems, positioning them as a key figure in the emerging field of neurorehabilitation robotics.
Research Focus
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Top Papers
- 1