Quality-on-demand compression of EEG signals for telemedicine applications using neural network predictors

International Journal of Telemedicine and Applications

Volumn , Issue , 2011, Pages

  Sriraam, N ^a  

^a SSN COLLEGE OF ENGINEERING   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARITHMETIC ENCODER; CLINICAL INFORMATION; COMPRESSION GAIN; CROSS CORRELATIONS; EEG SIGNALS; ELMAN NETWORK; LINEAR PREDICTORS; LONG DISTANCES; LOSSLESS; LOW BIT RATE; MEDICAL SERVICES; MULTI-LAYER PERCEPTRONS; NEURAL NETWORK MODEL; NEURAL NETWORK PREDICTOR; SINGLE LAYER; TELEMEDICINE APPLICATION; TELEMEDICINE SYSTEMS; TWO STAGE COMPRESSION;

FIR FILTERS; HEALTH CARE; INFORMATION TECHNOLOGY; PATTERN RECOGNITION SYSTEMS; POWER SPECTRAL DENSITY; SPECTRAL DENSITY; TELEMEDICINE;

NEURAL NETWORKS;

ARITHMETIC; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAM; ELMAN NETWORK; ENTROPY; MEDICAL INFORMATION SYSTEM; MULTI LAYER PERCEPTRON; PERCEPTRON; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SPECTROMETRY; TELEMEDICINE;

EID: 80052674723     PISSN: 16876415     EISSN: 16876423     Source Type: Journal    
DOI: 10.1155/2011/860549     Document Type: Article

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