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ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms
Joint Authors
Damaševičius, Robertas
Maskeliūnas, Rytis
Lauraitis, Andrius
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We introduce an approach to predict deterioration of reaction state for people having neurological movement disorders such as hand tremors and nonvoluntary movements.
These involuntary motor features are closely related to the symptoms occurring in patients suffering from Huntington’s disease (HD).
We propose a hybrid (neurofuzzy) model that combines an artificial neural network (ANN) to predict the functional capacity level (FCL) of a person and a fuzzy logic system (FLS) to determine a stage of reaction.
We analyzed our own dataset of 3032 records collected from 20 test subjects (both healthy and HD patients) using smart phones or tablets by asking a patient to locate circular objects on the device’s screen.
We describe the preparation and labelling of data for the neural network, selection of training algorithms, modelling of the fuzzy logic controller, and construction and implementation of the hybrid model.
The feed-forward backpropagation (FFBP) neural network achieved the regression R value of 0.98 and mean squared error (MSE) values of 0.08, while the FLS provides a final evaluation of subject’s reaction condition in terms of FCL.
American Psychological Association (APA)
Lauraitis, Andrius& Maskeliūnas, Rytis& Damaševičius, Robertas. 2018. ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1187281
Modern Language Association (MLA)
Lauraitis, Andrius…[et al.]. ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms. Journal of Healthcare Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1187281
American Medical Association (AMA)
Lauraitis, Andrius& Maskeliūnas, Rytis& Damaševičius, Robertas. ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1187281
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187281