eCite Digital Repository

Objective evaluation of Bradykinesia in Parkinsonís disease using evolutionary algorithms

Citation

Muhamed, SA and Newby, R and Smith, SL and Alty, J and Jamieson, S and Kempster, P, Objective evaluation of Bradykinesia in Parkinson's disease using evolutionary algorithms, Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 19-21 January, Funchal, Madeira, Portugal, pp. 63-69. ISBN 978-989-758-279-0 (2018) [Refereed Conference Paper]

DOI: doi:10.5220/0006601700630069

Abstract

Bradykinesia, a slowing of movement, is the fundamental motor feature of Parkinsonís disease (PD) and the only physical sign that is obligatory for diagnosis. The complex nature of Bradykinesia makes it difficult to reliably identify, particularly as the early stages of the disease. This paper presents an extension of previous studies, applying evolutionary algorithms to movement data obtained from the standard clinical finger tapping (FT) test to characterise Bradykinesia. In this study, hand pronation-supination (PS) and hand opening-closing (HO) tasks are also considered. Cartesian Genetic Programming (CGP), is the evolutionary algorithm used to train and validate classifiers using features extracted from movement recordings of 20 controls and 22 PD patients. Features were selected based on the current clinical definition of Bradykinesia. The results show the potential of HO and PS to be used as effective classifiers with an accuracy of 84%. Discriminative features were also investigated with the possibility of informing clinical assessment.

Item Details

Item Type:Refereed Conference Paper
Keywords:Parkinsonís disease, evolutionary algorithms, Cartesian genetic programming, Bradykinesia, finger tapping, hand pronation-supination, hand opening-closing
Research Division:Health Sciences
Research Group:Health services and systems
Research Field:Digital health
Objective Division:Health
Objective Group:Clinical health
Objective Field:Diagnosis of human diseases and conditions
UTAS Author:Alty, J (Associate Professor Jane Alty)
ID Code:144303
Year Published:2018
Deposited By:Wicking Dementia Research and Education Centre
Deposited On:2021-05-11
Last Modified:2021-05-11
Downloads:0

Repository Staff Only: item control page