Reckoning of facial grimacing scheme for patient agitation in critical care

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Main Authors: Muhammad Naufal, Mansor, Sazali, Yaacob, Prof. Dr., Nagarajan, Ramachandran, Prof. Dr.
Other Authors: apairia@yahoo.com
Format: Article
Language:English
Published: Science Academy Publisher 2011
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/12099
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-120992011-05-26T02:00:44Z Reckoning of facial grimacing scheme for patient agitation in critical care Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Nagarajan, Ramachandran, Prof. Dr. apairia@yahoo.com sazali22@yahoo.com nagarajan@unimap.edu.my Facial grimacing Patient agitation Intensive care unit K-Nearest Neighborhood (k-NN) Fuzzy k-NN (f-kNN) Linear Discriminant Analysis (LDA) Neural Network (NN) Link to publisher's homepage at http://sciacademypublisher.com/ Reckoning patient grimacing in Intensive Care Unit (ICU) is a crucial demand in checking routine procedure. Despite of detecting any physical change in the body of the patient, medical staff has to go up and down to the patient bed several times and to report to surgeons accurately. By viewing the patient grimacing changes, the surgeons can get full details of the way of changes in physical body; certainly this cannot be explained accurately by the nurses. As such, this series of research is focus on real-time measurement of high resolution facial changes that are observed to occur in agitation. An algorithm is developed that measures the degree of facial grimacing from a single digital camera. The method is demonstrated on simulated patient facial motion to prove the concept. A consistent measure is obtained that is robust to significant random angle head movement and compares well against visual observation of different levels of grimacing. The method provides a basis for clinical validation. Finally, the conditions of the patient were determined based on classifiers such as K-Nearest Neighborhood (k-NN), Fuzzy k-NN (f-kNN), Linear Discriminant Analysis (LDA) and Neural Network (NN). 2011-05-26T01:59:21Z 2011-05-26T01:59:21Z 2011-03 Article International of Research and Reviews in Artificial Intelligence, vol. 1(1), 2011, pages 20-24 2046-5122 http://sciacademypublisher.com/journals/index.php/IJRRAI/article/view/49/42 http://hdl.handle.net/123456789/12099 en Science Academy Publisher
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 Facial grimacing
Patient agitation
Intensive care unit
K-Nearest Neighborhood (k-NN)
Fuzzy k-NN (f-kNN)
Linear Discriminant Analysis (LDA)
Neural Network (NN)
spellingShingle Facial grimacing
Patient agitation
Intensive care unit
K-Nearest Neighborhood (k-NN)
Fuzzy k-NN (f-kNN)
Linear Discriminant Analysis (LDA)
Neural Network (NN)
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran, Prof. Dr.
Reckoning of facial grimacing scheme for patient agitation in critical care
description Link to publisher's homepage at http://sciacademypublisher.com/
author2 apairia@yahoo.com
author_facet apairia@yahoo.com
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran, Prof. Dr.
format Article
author Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran, Prof. Dr.
author_sort Muhammad Naufal, Mansor
title Reckoning of facial grimacing scheme for patient agitation in critical care
title_short Reckoning of facial grimacing scheme for patient agitation in critical care
title_full Reckoning of facial grimacing scheme for patient agitation in critical care
title_fullStr Reckoning of facial grimacing scheme for patient agitation in critical care
title_full_unstemmed Reckoning of facial grimacing scheme for patient agitation in critical care
title_sort reckoning of facial grimacing scheme for patient agitation in critical care
publisher Science Academy Publisher
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/12099
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