Title :
Optimal estimation of the parameters affecting the Parkinson´s disease state of thalamic cell model
Author :
Luxia Zhang ; Jiang Wang ; Bin Deng ; Xile Wei ; Haitao Yu
Author_Institution :
Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
Abstract :
The Parkinson´s disease (PD) state can be distinguished by relay reliability of thalamic cell (TC). Among numerous parameters of single-compartment conductance-based TC model, only two of them mainly modulate the relay reliability of TC. In order to explore the relationship between the two parameters and the firing relay, a parameter estimation method based on particle swarm optimization (PSO) algorithm is proposed and conducted on the TC model with two adjustable parameters. The simulation results estimated respectively from spiking features of PD state and normal state both achieve good performance.
Keywords :
bioelectric potentials; cellular biophysics; diseases; neurophysiology; parameter estimation; particle swarm optimisation; physiological models; PD state spiking features; Parkinson disease state; firing relay reliability modulation; parameter estimation method; particle swarm optimization algorithm; single-compartment conductance-based thalamic cell model; Brain modeling; Estimation; Firing; Parkinson´s disease; Relays; Reliability; Trajectory; Parkinson´s disease (PD); parameter estimation; particle swarm optimization (PSO); thalamic cell (TC);
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5837-5
DOI :
10.1109/BMEI.2014.7002820
