Title :
A system for analysing surgical motion under a surgical visual aid
Author :
Rappel, James K. ; Teo Chee Leong ; Lahiri, Amitabha
Author_Institution :
Mech. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
A system for evaluating the hand motion under surgical visual aids is discussed. The system consists of a set of visually guided motor tasks, a method of tracking the hand motion and a set of techniques for analyzing the movement data. Visually guided motor tasks abstract the surgical motion to enable performance by non-surgeons. The movement data is analyzed to identify the motion elements such as motion induced by measurement system noise, motion due to physiological tremor, motion due to myoclonic jerk, drift and voluntary dexterous motion. Empirical mode decomposition is used as the method to analyze the motion data along with its frequency plot to verify that the decomposed signals indeed correspond to the respective processes. Early results of the complex multicomponent data is reported with the extraction of the voluntary movement and the involuntary movement data.
Keywords :
biomechanics; medical signal processing; surgery; complex multicomponent data; drift; empirical mode decomposition; hand motion; involuntary movement data extraction; measurement system noise; myoclonic jerk; physiological tremor; surgical motion analysis; surgical visual aid; visually guided motor tasks; voluntary dexterous motion; voluntary movement data extraction; Microscopy; Microsurgery; Needles; Optical microscopy; Physiology; Visualization; Abstract Surgical Tasks; Empirical Mode Decomposition; Intrinsic Mode Function; Multicomponent Signal Analysis; Surgical Motion; Visual Aid Comparison;
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4799-0433-4
DOI :
10.1109/ICICS.2013.6782811