Title :
Human tremor analysis using particle swarm optimization
Author :
Eberhart, Russell C. ; Hu, Xiaohui
Author_Institution :
Sch. of Eng. & Technol., Indiana Univ., Indianapolis, IN, USA
Abstract :
The paper presents methods for the analysis of human tremor using particle swarm optimization. Two forms of human tremor are addressed: essential tremor and Parkinson´s disease. Particle swarm optimization is used to evolve a neural network that distinguishes between normal subjects and those with tremor. Inputs to the neural network are normalized movement amplitudes obtained from an actigraph system. The results from this preliminary investigation are quite promising, and work is continuing
Keywords :
data acquisition; evolutionary computation; medical computing; neural nets; Parkinson disease; actigraph system; essential tremor; human tremor analysis; neural network; normal subjects; normalized movement amplitudes; particle swarm optimization; Acceleration; Belts; Data acquisition; Frequency; Humans; Motion measurement; Neural networks; Parkinson´s disease; Particle swarm optimization; Wrist;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785508
