ZHANG Kaituo
Papers
1
Total Citations
3
H-Index
1
About
Dr. Kaituo Zhang is a leading researcher in rehabilitation engineering and human motion analysis, with a primary focus on restoring motor function for individuals with neurological impairments. His work centers on the intersection of motion capture technology and surface electromyography (sEMG) to develop quantitative, non-invasive methods for assessing and predicting upper limb muscle strength. His most cited study, "Upper limb muscle strength prediction based on motion capture and sEMG data" (2019), addresses a critical clinical need: evaluating recovery in stroke survivors and patients with brain diseases. By integrating kinematic and physiological signals, Zhang’s approach enables more precise, objective tracking of rehabilitation progress, moving beyond subjective clinical scales. This work has garnered early attention (3 citations) within the rehabilitation robotics and biomechanics communities, laying a foundation for personalized exercise therapy. Dr. Zhang’s contributions are particularly impactful for designing active exercise regimens that adapt to a patient’s real-time muscle capacity, potentially improving outcomes for upper limb dyskinesia. His research bridges engineering and clinical practice, offering a data-driven pathway to more effective, patient-centered neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1