Automatically infant cues recognition based on LDA and SVM classifier

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Abstract

This paper presents the management of sedation in critically ill infants is a complex issue for Intensive Care Units (ICU) worldwide. Notable complications of sedation practices have been identified and efforts to modify these practices in ICUs have begun. While sedation-scoring tools have been introduced into clinical practice in intensive care few have been tested for validity and reliability. One tool which has reliability and validity established is the Sedation-Agitation Scale (SAS). This study is an extension of a previous study by Riker, Picard and Fraser (1999) to determine whether doctors and nurses rate infants similarly using the SAS in a natural ICU setting. It is essential to establish whether these different professionals provide consistent scores and have a mutual understanding of the SAS and its constituent levels based on LDA and SVM Cassifier. This will help ensure that clinical decisions relating to sedation-needs can be made appropriately and consistently. © 2013 Springer-Verlag.

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Mansor, M. N., Yaacob, S., Hariharan, M., Basah, S. N., Ahmad Jamil, S. H. F. S., Mohd Khidir, M. L., … Junoh, A. K. (2013). Automatically infant cues recognition based on LDA and SVM classifier. In IFMBE Proceedings (Vol. 39 IFMBE, pp. 1252–1256). https://doi.org/10.1007/978-3-642-29305-4_328

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