Title :
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
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;
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
