DocumentCode
1711206
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
fYear
2013
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
Conference_Location
Tainan
Print_ISBN
978-1-4799-0433-4
Type
conf
DOI
10.1109/ICICS.2013.6782811
Filename
6782811
Link To Document