DocumentCode
1632610
Title
AR Model for infant pain anxiety recognition using Fuzzy k-NN
Author
Naufal Mansor, M. ; Nazri Rejab, M. ; Hi-Fi Syam, S. ; Hi-Fi Syam B, A.
Author_Institution
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Kangar, Malaysia
Volume
2
fYear
2012
Firstpage
374
Lastpage
376
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%.
Keywords
autoregressive processes; emotion recognition; face recognition; medical image processing; paediatrics; AR model; autoregressive model; fuzzy k-NN; infant pain anxiety recognition; infant pain detection scheme; neonates; pain assessment; Accuracy; Educational institutions; Face; Face detection; Pain; Pediatrics; Skin; AR Model; Detection of facial changes; Fuzzy k-NN classifier; NICU patient;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
Conference_Location
Sanya
Print_ISBN
978-1-4673-2465-6
Type
conf
DOI
10.1109/MSNA.2012.6324598
Filename
6324598
Link To Document