Infant Face Analysis For Pain Identification With Nonclassical Receptive Field And Neonatal Facial Coding System

Kirana, Mira Chandra (2014) Infant Face Analysis For Pain Identification With Nonclassical Receptive Field And Neonatal Facial Coding System. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Infant mortality is the death that is occurred after born until exactly before one year old baby. The number of Infant Mortality Rate (IMR) is always being a medical concern in the world, especially in developing countries. It is in uenced by many factors, however in broad outline, there are two causes of this mortality; endogenous and exogenous. Preventing diagnosis mistake of infant pain is one of any efforts to reduce the infant mortality rate. The difference of infant's face expression in pain is able to be identified not only by seeing and watching, but also assessing any characteristic parameters. This problem encourages research on the pain identification of infant facial expres- sions. This study is aim to distinguish infant's face that showing the pain or not by analyzing some change in their face using Ganglion Cells working principles with nCRF mechanism and Neonatal Facial Coding System (NFCS) indicators. The research design was an early phase and exploratory study. There was two groups, pre-operative infants and post-operative infants. There are several ways of infant pain identification in medical, Neonate Facial Coding System (NFCS) is one which focuses in face. Pain assessment in infants with NFCS has ten indicators, but the last indicator did not happen to full term infants. Five of nine indicators are selected in this study, include brow lowering, eyes squeezed shut, mouth stretch, and lip pursuing. This research find that GC's nCRF is able to generate some features of NFCS pain assessment in five facial actions that commonly occur in pain infants.

Item Type: Thesis (Masters)
Additional Information: RTE 005.82 Kir i
Uncontrolled Keywords: Pain; Infant; Ganglion Cells; non-Classical Receptive Field(nCRF); NFCS
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S2) Master Theses
Depositing User: Mrs Anis Wulandari
Date Deposited: 09 Jun 2017 06:24
Last Modified: 09 Jun 2017 06:24

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