Multistep prediction of physiological tremor based on machine learning for robotics assisted microsurgery

IEEE Transactions on Cybernetics

Volumn 45, Issue 2, 2015, Pages 328-339

  Tatinati, Sivanagaraja ^a   Veluvolu, Kalyana C ^a   Ang, Wei Tech ^b  

^a Kyungpook National University   (South Korea)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Least squares support vector machines (LS SVM); multistep prediction; physiological motions; tremor

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; HAND HELD COMPUTERS; LEARNING SYSTEMS; PHYSIOLOGY; ROBOTICS;

BETTER PERFORMANCE; LEAST SQUARES SUPPORT VECTOR MACHINES; MULTI-STEP PREDICTION; PHYSIOLOGICAL MOTIONS; PREDICTION HORIZON; STATE-OF-THE-ART TECHNIQUES; TIME VARYING- DELAYS; TREMOR;

SUPPORT VECTOR MACHINES;

COMPUTER SIMULATION; HUMAN; MICROSURGERY; PATHOPHYSIOLOGY; PROCEDURES; ROBOTIC SURGICAL PROCEDURE; SIGNAL PROCESSING; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TREMOR;

COMPUTER SIMULATION; HUMANS; MICROSURGERY; MODELS, STATISTICAL; ROBOTIC SURGICAL PROCEDURES; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES; TREMOR;

EID: 84921370884     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2014.2381495     Document Type: Article

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