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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 1/2011

01.03.2011 | Original Article

Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery

verfasst von: Zhi Liu, Qihang Wu, Yun Zhang, C. L. Philip Chen

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 1/2011

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Abstract

One of the main problems for effective control of a minimally invasive surgery (MIS) is the imprecision that caused by hand tremor. In this paper, a novel adaptive filter, the least squares support vector machines adaptive filter (LS-SVMAF), is proposed to overcome this problem. Compared with traditional methods like multi layer perceptron (MLP), LS-SVM shows a superior performance of nonlinear modeling with small scale of data set or high dimensional input space. With the LS-SVMAF, we can model and predict the hand tremor more effectively and improve the precision and reliability in the master–slave robotic system for microsurgery. Simulation results demonstrate the effectiveness of the proposed filter and its superior performance over its competing rivals.
Vorheriger Artikel An improved multiple fuzzy NNC system based on mutual information and fuzzy integral
Nächster Artikel Separating theorem of samples in Banach space for support vector machine learning

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Literatur
1.
Taylor RH, Stoianovici D (2003) Medical robotics in computer-integrated surgery. IEEE Trans Robotics Automat 19:765–781
2.
Mitsuishi M (2007) Medical robot and master slave system for minimally invasive surgery. In: International conference on complex medical engineering. Beijing, pp 8–13
3.
Wang S, Yue L, Li Q et al (2008) Conceptual design and dimensional synthesis of ‘Micro Hand’. Mech Mach Theory 143:1186–1197
4.
Veluvolu KC, Tan UX et al (2009) Adaptive filtering of physiological tremor for real-time compensation. In: IEEE international conference on robotics and biomimetics. Bangkok, Thailand, pp 524–529
5.
Latt WT, Tan UX et al (2008) Physiological tremor sensing using only accelerometers for real-time compensation. In: IEEE International Conference on Robotics and Biomimetics. Bangkok, pp 474–479
6.
Riviere CN, Reich SG, Thakor NV (1997) Adaptive fourier modeling for quantifican of tremor. J Neurosci Methods 74:77–87
7.
Riviere CN, Rader RS, Thakor NV (1998) Adaptive canceling of physiological tremor for improved precision in microsurgery. IEEE Trans Biomed Eng 45:839–846
8.
Ang WT, Pradeep PK, Riviere CN (2004) Active tremor compensation in microsurgery. In: Proceeding of the 26th annual international conference of the IEEE EMBS. San Francisco, pp 2738–2741
9.
Riley PO, Eosen MJ (1987) “Evaluating manual control devices for those with tremor disability”. J Rehab Res Develop 24:99–110
10.
Zhang J, Chu F (2005) Real-time modeling and prediction of physiological hand tremor. In: International conference on acoustics, speech and signal processing. Little Rock, pp V645–V648
11.
Riviere CN, Thakor NV (1996) Modeling and canceling tremor in human-machine interfaces. IEEE Eng Med Biol 15:29–36
12.
Riviere CN, Ang WT, Khosla PK (2003) Toward active tremor cancelling in handheld microsurgical instruments. IEEE Trans Robotics Automat 19:793–800
13.
Suykens JAK (2001) Nonlinear modeling and support vector machines. In: IEEE instrumentation and measurement technology conference, Budapest, pp 21–23
14.
Iplikci S (2010) Support vector machines based neuro-fuzzy control of nonlinear systems. Neurocomputing 73:2097–2107CrossRef
15.
Chuang CC, Su SF, Jeng JT et al (2002) Robust support vector regression networks for function approximation with outliers. IEEE Trans Neural Netw 13:1322–1329CrossRef
16.
Suykens JAK, Vandewalle J, Moor BD, (2001) Optimal control by least squares support vector machines. Neural Netw 14:23–35
17.
Suykens JAK, Vandewalle J (2000) Recurrent least squares support vector machines. IEEE Trans Circuits Syst I Fundam Theory Appl 47:1109–1114CrossRef
18.
Zhang MG, Wang XG, Li WH (2005) Nonlinear system identification using least squares support vector machines. Int Conf Neural Netw Brain 1:414–418CrossRef
19.
Lin CJ, Hong SJ, Lee CY (2005) Using least squares support vector machines for adaptive communication channel equalization. Appl Sci Eng 3:51–59
20.
Jakubowski J, Kwiatos K, Chwaleba A et al (2002) Higher order statistics and neural network for tremor recognition. IEEE Trans Biomed Eng 49:152–159
21.
Lin CT, Juang CF (1997) An adaptive neural fuzzy filter and its applications. IEEE Trans Syst Man Cybern Part B Cybern 47:635–656
22.
Du QJ, Zhang XY (2007) Kinematics analysis and motion control of radio frequency ablation surgical robot. In: International conference on control and automation. Guangzhou, pp 1890–1895
23.
Nello C, John Shawe T (2004) An introduction to support vector machines and other kernel-learning methods. Publishing House of Electronics Idustry, Beijing
24.
Fung G, Mangasarian OL (2001) Proximal support vector machine Classifiers. In: Provost F, Srikant R (eds.) Proceedings KDD-2001: knowledge discovery and data mining, pp 77–86
25.
Fung G, Mangasarian OL (2005) Multicategory proximal support vector machine Classifiers. Mach Learn 59:77–99
Metadaten
Titel
Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
verfasst von
Zhi Liu
Qihang Wu
Yun Zhang
C. L. Philip Chen
Publikationsdatum
01.03.2011
Verlag
Springer-Verlag
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 1/2011
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-011-0012-5

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