Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear Dynamics

Advances in Electrical and Computer Engineering

GEMAN, O. ; TURCU, C. O. ; GRAUR, A..

关键词: Parkinson's disease;    assessment;    tremor symptom;    fuzzy;    expert systems;    nonlinear dynamics;   

DOI  :  10.4316/AECE.2013.01007

学科分类：计算机科学（综合）

来源: Universitatea "Stefan cel Mare" din Suceava

【 摘 要 】

This paper proposes a new screening system for quantitative evaluation and analysis, designed for the early stage detection of Parkinson disease. This has been carried out in the view of improving the diagnosis currently established upon a basis of subjective scores. Parkinsons disease (PD) appears as a result of dopamine loss, a chemical mediator that is responsible for the bodys ability to control movements. The symptoms reflect the loss of nerve cells, due to an unknown. The input parameters of the system are represented by amplitude, frequency, the spectral characteristic and trembling localization. The main symptoms include trembling of hand, arms, movement difficulties, postural instability, disturbance of coordination and equilibrium, sleep disturbance, difficulties in speaking, reducing of voice volume. The medical knowledge in PD field is characterized by imprecision, uncertainty and vagueness. The proposed system (fuzzy expert systems) is non-invasive and, easy to use by both physicians and patients at home.

【 授权许可】

Unknown