Factorization and Particle Swarm Based Sparse Representation Classifier for Epilepsy Classification Implemented for Wireless Telemedicine Applications-Reference-Cited by-同舟云学术

Factorization and Particle Swarm Based Sparse Representation Classifier for Epilepsy Classification Implemented for Wireless Telemedicine Applications

Published:2017-09-24 Issue: Volume: Page:487-491
ISSN:1680-0737
Container-title:6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6)
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Author:

Prabhakar Sunil Kumar,Rajaguru Harikumar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-4361-1_82

Reference8 articles.

1. Tzallas AT, Tsipouras MG, Fotiadis DI (2009) Epileptic seizure detection in EEGs using time-frequency analysis. IEEE Trans Inf Tech Biomed 13:703–710

2. Srinivasan V, Eswaran C, Sriraam N (2007) Approximate entropy-based epileptic EEG detection using artificial neural networks. IEEE Trans Inform Technol Biomed 11(3):288–295

3. Khademi S et al (2013) Constant modulus algorithm for peak-to-average power ratio (PAPR) reduction in MIMO OFDM. IEEE Signal Process Lett 20(5)

4. Sunil Kumar P et al (2014) Performance analysis for differential STBC and SFBC MIMO-OFDM systems under differential modulation schemes in a rayleigh channel. In: Proceedings of the IEEE international conference on electronics and communication systems (ICECS-2014), vol 2, pp 163–167. ISBN:978–1-4799-2320-5

5. Zhu X et al (2013) Simplified approach to optimized iterative clipping and filtering for PAPR reduction of OFDM signals. IEEE Trans Commun 61(5)

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