DocumentCode
3058184
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
Volume
3
fYear
1999
fDate
1999
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location
Washington, DC
Print_ISBN
0-7803-5536-9
Type
conf
DOI
10.1109/CEC.1999.785508
Filename
785508
Link To Document