Yusuke Sekiguchi
Papers
2
Total Citations
10
H-Index
2
About
Yusuke Sekiguchi is a researcher advancing the understanding and assessment of gait in stroke patients, with a focus on biomechanics and rehabilitation engineering. His primary research areas include motion analysis, ground reaction force (GRF) estimation, and kinetic interjoint coordination in lower limbs during walking. Sekiguchi’s major contributions involve developing a novel approach using a markerless motion capture system (Azure Kinect) combined with a long short-term memory (LSTM) network to estimate GRFs during walking in stroke patients—a critical indicator of walking ability. This work, published in 2023, has already garnered 8 citations, highlighting its impact on accessible, non-invasive gait analysis. Additionally, his 2022 study on kinetic interjoint coordination in hemiparetic patients, using principal component analysis (PCA), clarified the coordination patterns of joint moments in the lower limbs, offering insights for targeted rehabilitation. Sekiguchi’s work bridges cutting-edge machine learning with clinical biomechanics, providing tools for more precise, markerless assessment of gait impairments. His research is particularly valuable for students and clinicians seeking to understand and improve post-stroke mobility through innovative, data-driven approaches.
Research Focus
Key Achievements
Top Papers
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