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dc.contributor.authorZia, Aneeq
dc.contributor.authorSharma, Yachna
dc.contributor.authorBettadapura, Vinay
dc.contributor.authorSarin, Eric L.
dc.contributor.authorClements, Mark A.
dc.contributor.authorEssa, Irfan
dc.date.accessioned2016-04-18T19:44:26Z
dc.date.available2016-04-18T19:44:26Z
dc.date.issued2015
dc.identifier.citationZia, A., Sharma, Y., Bettadapura, V., Sarin, E. L., Clements, M. A., & Essa, I. (2014). "Automated Assessment of Surgical Skills Using Frequency Analysis". Navab, N., Hornegger, J., Wells, W. M., Frangi, A. F. (Eds.). Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015. 18th International Conference, Munich, Germany, 5-9 October 2015. Proceedings, Part I. In Lecture Notes in Computer Science, 2015, Vol. 9349, pp. 430-438.
dc.identifier.isbn978-3-319-24552-2 (Print)
dc.identifier.isbn978-3-319-24553-9 (Online)
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/1853/54744
dc.description© Springer International Publishing Switzerland 2015. The original publication is available at www.springerlink.comen_US
dc.descriptionDOI: 10.1007/978-3-319-24553-9_53
dc.description.abstractWe present an automated framework for visual assessment of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria. Video analysis techniques for extracting motion quality via frequency coefficients are introduced. The framework is tested on videos of medical students with different expertise levels performing basic surgical tasks in a surgical training lab setting. We demonstrate that transforming the sequential time data into frequency components effectively extracts the useful information differentiating between different skill levels of the surgeons. The results show significant performance improvements using DFT and DCT coefficients over known state-of-the-art techniques.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectFrequency coeffcientsen_US
dc.subjectMotion qualityen_US
dc.subjectObjective structured assessment of technical skillsen_US
dc.subjectVideo analysisen_US
dc.titleAutomated Assessment of Surgical Skills Using Frequency Analysisen_US
dc.typeBook chapteren_US
dc.typeProceedingsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machinesen_US
dc.contributor.corporatenameEmory Universityen_US
dc.identifier.doi10.1007/978-3-319-24553-9_53
dc.embargo.termsnullen_US


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