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N Sriraam

Showing results (1-10 of 26) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Neural network based near- lossless compression of EEG signals with non uniform quantizationN Sriraam
International Journal of Telemedicine and Applications|April 11, 2012
A high-performance lossless compression scheme for EEG signals using wavelet transform and neural network predictorsN Sriraam
International Journal of Telemedicine and Applications|July 26, 2011
Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network PredictorsN Sriraam
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|September 10, 2008
An adaptive error modeling scheme for the lossless compression of EEG signalsN Sriraam, C Eswaran
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 14, 2008
Performance evaluation of neural network and linear predictors for near-lossless compression of EEG signalsN Sriraam, C Eswaran
Physical and Engineering Sciences in Medicine|June 30, 2022
Basis pursuit sparse decomposition using tunable-Q wavelet transform (BPSD-TQWT) for denoising of electrocardiogramsAvvaru Srinivasulu, N Sriraam
Journal of Medical Systems|January 20, 2007
Context based error modeling for lossless compression of EEG signals using neural networksN Sriraam, C Eswaran
Journal of Medical Systems|September 4, 2017
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM ClassifierN Sriraam, S Raghu
Journal of Medical Engineering|November 23, 2016
An Engineering Perspective of External Cardiac Loop Recorder: A Systematic ReviewAvvaru Srinivasulu, N Sriraam
Journal of Medical Systems|May 11, 2007
Compression of patient monitoring video using motion segmentation techniqueR Shyamsunder, C Eswaran, N Sriraam
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Neural network based near- lossless compression of EEG signals with non uniform quantizationN Sriraam
International Journal of Telemedicine and Applications|April 11, 2012
A high-performance lossless compression scheme for EEG signals using wavelet transform and neural network predictorsN Sriraam
International Journal of Telemedicine and Applications|July 26, 2011
Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network PredictorsN Sriraam
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|September 10, 2008
An adaptive error modeling scheme for the lossless compression of EEG signalsN Sriraam, C Eswaran
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 14, 2008
Performance evaluation of neural network and linear predictors for near-lossless compression of EEG signalsN Sriraam, C Eswaran
Physical and Engineering Sciences in Medicine|June 30, 2022
Basis pursuit sparse decomposition using tunable-Q wavelet transform (BPSD-TQWT) for denoising of electrocardiogramsAvvaru Srinivasulu, N Sriraam
Journal of Medical Systems|January 20, 2007
Context based error modeling for lossless compression of EEG signals using neural networksN Sriraam, C Eswaran
Journal of Medical Systems|September 4, 2017
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM ClassifierN Sriraam, S Raghu
Journal of Medical Engineering|November 23, 2016
An Engineering Perspective of External Cardiac Loop Recorder: A Systematic ReviewAvvaru Srinivasulu, N Sriraam
Journal of Medical Systems|May 11, 2007
Compression of patient monitoring video using motion segmentation techniqueR Shyamsunder, C Eswaran, N Sriraam
Pageof 3