A time-sequence-based fuzzy support vector machine adaptive filter for tremor cancelling for microsurgery

DOI10.1080/00207721.2013.821718zbMath1312.93104OpenAlexW2102015278MaRDI QIDQ5252902

Jing Luo, C. L. Philip Chen, Yun Zhang, Xin Chen, Zhi Liu, Liyang Wang

Publication date: 3 June 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.821718

zbMATH Keywords

hand tremorminimally invasive surgery (MIS)time-sequence-based fuzzy support vector machines (TSF-SVM)

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Medical applications (general) (92C50)

Related Items

Enhanced teleoperation performance using hybrid control and virtual fixture

Cites Work

• Improved robust energy-to-peak filtering for uncertain linear systems
• Robust weighted H∞ filtering for networked systems with intermittent measurements of multiple sensors
• Fuzzy modelling via on-line support vector machines
• Large Margin Filtering
• SVM performance assessment for the control of injection moulding processes and plasticating extrusion
• Time series prediction using support vector machines, the orthogonal and the regularized orthogonal least-squares algorithms
• Modelling of river discharges and rainfall using radial basis function networks based on support vector regression
• Structural damage detection by integrating independent component analysis and support vector machine