Publications by authors named "Pk Sadasivan"

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Classification of cardiac patient states using artificial neural networks.
N Kannathal, U Rajendra Acharya, Choo Min Lim, Pk Sadasivan, Sm Krishnan

Exp Clin Cardiol· July 2011

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Cardiac state diagnosis using adaptive neuro-fuzzy technique.
N Kannathal, C M Lim, U Rajendra Acharya, P K Sadasivan

Med Eng Phys· October 2006

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Entropies for detection of epilepsy in EEG.
N Kannathal, Min Lim Choo, U Rajendra Acharya, P K Sadasivan

Comput Methods Programs Biomed· December 2005

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Characterization of EEG--a comparative study.
N Kannathal, U Rajendra Acharya, C M Lim, P K Sadasivan

Comput Methods Programs Biomed· October 2005

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EEG delta band spectral power: differneces between unilateral and bilateral ect seizures.
D N Dutt, P K Mahapatra, B N Gangadhar, P K Sadasivan, N Janakiramaiah

Indian J Psychiatry· January 1997

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The nature of dominant Lyapunov exponent and attractor dimension curves of EEG in sleep.
N Pradhan, P K Sadasivan

Comput Biol Med· September 1996

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Detection of seizure activity in EEG by an artificial neural network: a preliminary study.
N Pradhan, P K Sadasivan, G R Arunodaya

Comput Biomed Res· August 1996

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Relevance of surrogate-data testing in electroencephalogram analysis.
N Pradhan, PK Sadasivan

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics· March 1996

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ANC schemes for the enhancement of EEG signals in the presence of EOG artifacts.
P K Sadasivan, D N Dutt

Comput Biomed Res· February 1996

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Patterns of attractor dimensions of sleep EEG.
N Pradhan, P K Sadasivan, S Chatterji, D N Dutt

Comput Biol Med· September 1995

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Use of finite wordlength FIR digital filter structures with improved magnitude and phase characteristics for reduction of muscle noise in EEG signals.
P K Sadasivan, D N Dutt

Med Biol Eng Comput· May 1995

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Minimization of EOG artefacts from corrupted EEG signals using a neural network approach.
P K Sadasivan, D N Dutt

Comput Biol Med· November 1994

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A non-linear estimation model for adaptive minimization of EOG artefacts from EEG signals.
P K Sadasivan, D N Dutt

Int J Biomed Comput· July 1994

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