Electrooculogram based Instrumentation and Control System (IC System) and its Applications for Severely Paralysed Patients

Author

Rajan, Adithya ; Shivakeshavan, R.G. ; Ramnath, J.V.

Author_Institution

Sathyabama Univ., Chennai

fYear

2006

fDate

11-14 Dec. 2006

Firstpage

1

Lastpage

4

Abstract

The electrooculogram (EOG) signal is acquired through a dual-channel signal acquisition system and processed for its use in biomedical instrumentation systems incorporating Neural Networks. This paper discusses the applications of EOG signal processing and emphasizes the possibility of building a circuit for controlling various operations to be performed by extremely paralyzed patients. The overall response of the system is improved upon inclusion of a neural network unit, which is used to eliminate sudden spikes and as far as possible, signals due to unintended eyeball motion and enable smooth maneuvering.

Keywords

biomedical electronics; data acquisition; diseases; electro-oculography; medical control systems; medical signal detection; medical signal processing; neural nets; neurophysiology; patient rehabilitation; EOG signal processing; IC system; biomedical instrumentation system; dual-channel signal acquisition system; electrooculogram; instrumentation and control system; neural network; rehabilitation engineering; severely paralysed patient; unintended eyeball motion;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Pharmaceutical Engineering, 2006. ICBPE 2006. International Conference on

Conference_Location

Singapore

Print_ISBN

978-981-05-79

Electronic_ISBN

81-904262-1-4

Type

conf

Filename

4155851