Automatically infant pain recognition based on LDA classifier

Author(s):  
Muhammad Naufal Mansor ◽  
Muhammad Nazri Rejab ◽  
Syahrull Hi-Fi Syam ◽  
Addzrull Hi-Fi Syam B
Keyword(s):  
2014 ◽  
Vol 1016 ◽  
pp. 807-813
Author(s):  
Muhammad Naufal Mansor ◽  
Ahmad Kadri Junoh ◽  
Amran Ahmed ◽  
Hussin Kamarudin ◽  
Azrini Idris

During the previous recent years, non-invasive schemes of facial image studies have been confirmed to be outstanding and dependable instrument to analyze the pain condition. This paper proposes a new feature vector based principal Component Analysis (PCA) for the pain detection. Different Eigen vector are proposed to evaluate the performance of the proposed features. In this work, Infant COPE database is used with illumination added. Homomorphic Filter (HOMO) is applied to remove the shadow. K-NN classifier is employed for testing the proposed features. The experimental outcomes uncover that the suggested features provide very promising results which is higher than 90% for Infant COPE database.


2014 ◽  
Vol 643 ◽  
pp. 218-223
Author(s):  
Muhammad Naufal Mansor ◽  
Ahmad Kadri Junoh ◽  
Amran Ahmed ◽  
Hussin Kamarudin ◽  
Azrini Idris

This paper discussed the crucial demand regarding the scheme to translate the silence voice from the newborn. The infant can’t afford to express their feeling of pain by voice. Hence, we proudly present an infant pain recognition system to overcome this matter. We employed the Single Scale Retinex (SSR) to remove the illumination level. Secondly, Discrete Cosine Transform (DCT) was adopted as the feature extraction. We determine the condition of the infants (pain/no pain) with Linear Discriminant Analysis (LDA). Several diagnosis tests were performed to estimate the performance of the suggested method under various illumination levels.


2013 ◽  
Vol 14 (4) ◽  
pp. 338-350 ◽  
Author(s):  
Elissa N. Rodkey ◽  
Rebecca Pillai Riddell
Keyword(s):  

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Linda M. Richter ◽  
Tamsen J. Rochat ◽  
Celia Hsiao ◽  
Thembelihle H. Zuma

The HIV epidemic in South Africa is putting great strain on health services, including the inpatient care of young children. Caregivers and young children (107 pairs) and 17 nurses participated in an intervention to improve the care of young children in hospital in a high HIV and AIDS setting. The intervention addressed caregiver expectations about admission and treatment, responsive feeding, coping with infant pain and distress, assistance with medical procedures, and preparation for discharge and home care. Following a preparatory and piloting phase, measures of nurse burnout, caregiver physical and emotional well-being, and caregiver-child interaction were made before and after intervention. No changes were found between before and after intervention on assessments of caregiver wellbeing. However, mothers in the postintervention phase rated nurses as more supportive; mother-child interaction during feeding was more relaxed and engaged, and babies were less socially withdrawn. While the intervention proved useful in improving certain outcomes for children and their caregivers, it did not address challenging hospital and ward administration or support needed by caregivers at home following discharge. To address the latter need, the intervention has been extended into the community through home-based palliative care and support.


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