UniMAP Library Digital Repository JSPUI
UniMAP Library Digital Repository preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/26565| Title: | AR model for infant pain anxiety recognition using fuzzy k-NN |
| Authors: | 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 |
| Keywords: | AR Model Detection of facial changes Fuzzy k-NN classifier NICU patient |
| Issue Date: | 25-Aug-2012 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | p. 374-376 |
| Series/Report no.: | Proceedings of the International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA 2012) |
| Abstract: | 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%. |
| Description: | Link to publisher's homepage at http://ieeexplore.ieee.org |
| URI: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6324598 http://dspace.unimap.edu.my/123456789/26565 |
| ISBN: | 978-146732467-0 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| AR Model for Infant Pain Anxiety Recognition using Fuzzy k-NN.pdf | 8.42 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.