Removal of EMG and ECG artifacts from EEG based on real time recurrent learning algorithm

International Journal of Physical Sciences

Volumn 3, Issue 5, 2008, Pages 120-125

  Suresh, H N ^a   Puttamadappa, C ^b  

^a BANGALORE INSTITUTE OF TECHNOLOGY   (India)

^b Sri Jagadguru Balagangadharanatha Institute of Technology   (India)

Author keywords

Electroencephalograph (EEG); Real time recurrent learning (RTRL); Recurrent multilayer perceptron (RMLP)

Indexed keywords

EID: 77956218977     PISSN: 19921950     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Byron JP, He J, Hu S (2005). " First International Conference on Neural Interface and Control Proceedings, Wuhan, China. A Conceptual Brain Machine Interface System, pp 112-116.
2. Cuiwei L, Chongxun Z, Changfen T (1995). Detection of ECG Characteristic Points Using Wavelet Transform," IEEE Trans on Biomed Eng, 42(1): 21-28.
3. Gotman J (2002). "Automatic recognition of epileptic seizures in the EEG" Electro encephalography and clinical neu. physiology 54, PP 530-540.
4. Haykin S (1991). Adaptive Filter Theory' Prentice Hall, London.
5. Haykin S (1996). Neural Networks SP's Horizons' IEEE Signal Processing Magazine,13(2): 24-29.
6. Latka M, Ziemowit (2002). Wavelet analysis of epileptic Spikes". Wroclaw university of Technology, Poland, Dec. 22, 2002.pp. 1-6.
7. Robert C (2002). Electroencephalogram Processing using Neural networks, Clinical Neurophysiology 113, pp. 694-701.
8. Selvan S, Srinivasan R (2001). Neural Networks-based Efficient Adaptive Filtering Technique volume 82.