AR model for infant pain anxiety recognition using fuzzy k-NN

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Main Authors:	Muhammad Naufal, Mansor, Syahryull Hi-Fi Syam, Ahmad Jamil, Muhammad Nazri, Rejab, Addzrull Hi-Fi Syam, Ahmad Jamil
Other Authors:	apairia@yahoo.com
Format:	Working Paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:	AR Model Detection of facial changes Fuzzy k-NN classifier NICU patient
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/26565
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-26565
record_format	dspace
spelling	my.unimap-265652013-07-10T08:15:17Z AR model for infant pain anxiety recognition using fuzzy k-NN Muhammad Naufal, Mansor Syahryull Hi-Fi Syam, Ahmad Jamil Muhammad Nazri, Rejab Addzrull Hi-Fi Syam, Ahmad Jamil apairia@yahoo.com syahrull30@yahoo.com nazri_554@yahoo.com azrulhifisyam@yahoo.com AR Model Detection of facial changes Fuzzy k-NN classifier NICU patient Link to publisher's homepage at http://ieeexplore.ieee.org Pain Assessment in Neonatal has been discussed recently nowadays. A rapid research, equipment and pain course has yet been improved. However, the robustness, accurate and fast pain scheme is yet far beyond the schedule comparing to the pain assessment for the adult patient. Thus, an infant pain detection scheme is been proposed based on Autoregressive Model (AR Model) and Fuzzy k-NN. The accuracy result is quite promising around 90.77%. 2013-07-10T08:15:17Z 2013-07-10T08:15:17Z 2012-08-25 Working Paper p. 374-376 978-146732467-0 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6324598 http://hdl.handle.net/123456789/26565 en Proceedings of the International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	AR Model Detection of facial changes Fuzzy k-NN classifier NICU patient
spellingShingle	AR Model Detection of facial changes Fuzzy k-NN classifier NICU patient Muhammad Naufal, Mansor Syahryull Hi-Fi Syam, Ahmad Jamil Muhammad Nazri, Rejab Addzrull Hi-Fi Syam, Ahmad Jamil AR model for infant pain anxiety recognition using fuzzy k-NN
description	Link to publisher's homepage at http://ieeexplore.ieee.org
author2	apairia@yahoo.com
author_facet	apairia@yahoo.com Muhammad Naufal, Mansor Syahryull Hi-Fi Syam, Ahmad Jamil Muhammad Nazri, Rejab Addzrull Hi-Fi Syam, Ahmad Jamil
format	Working Paper
author	Muhammad Naufal, Mansor Syahryull Hi-Fi Syam, Ahmad Jamil Muhammad Nazri, Rejab Addzrull Hi-Fi Syam, Ahmad Jamil
author_sort	Muhammad Naufal, Mansor
title	AR model for infant pain anxiety recognition using fuzzy k-NN
title_short	AR model for infant pain anxiety recognition using fuzzy k-NN
title_full	AR model for infant pain anxiety recognition using fuzzy k-NN
title_fullStr	AR model for infant pain anxiety recognition using fuzzy k-NN
title_full_unstemmed	AR model for infant pain anxiety recognition using fuzzy k-NN
title_sort	ar model for infant pain anxiety recognition using fuzzy k-nn
publisher	Institute of Electrical and Electronics Engineers (IEEE)
publishDate	2013
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/26565
_version_	1643794988266422272

AR model for infant pain anxiety recognition using fuzzy k-NN

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