Ambient Media and Systems: Third International ICST by Stavros Alifragkis, George Papakonstantinou (auth.),

By Stavros Alifragkis, George Papakonstantinou (auth.), Constantinos T. Angelis, Dimitrios Fotiadis, Alexandros T. Tzallas (eds.)

This ebook constitutes the completely refereed post-conference complaints of the 3rd foreign ICST convention on Ambient Media and platforms, AMBI-SYS 2013, held in Athens, Greece, in March 2013. The 12 revised complete papers provided have been conscientiously reviewed and chosen from a variety of submissions. The papers specialise in rising applied sciences, prone and strategies for brand spanking new, human-centric clever ambient environments.

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Application of wavelet techniques in ECG Signal processing: An overview. International Journal of Engineering Science and Technology 3, 7432–7443 (2011) 9. : Denoising ECG using translation invariant multiwavelet. International Journal of Electrical and Electronics Engineering 3, 138–142 (2009) 10. : ECG statistical denoising in the wavelet domain. In: 9th IEEE International Symposium of Electronics and Telecommunications, ISETC, Timisoara, pp. 307–310 (2010) 11. : Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations.

It is, actually, an extension of themselves and an integral part of their lives. The unique relationship that they have developed with these devices, which has been reinforced with the launching of smartphones, could not be left unnoticed by the educational community as every successful educational activity does not exist without the motivation of students via a climate of enthusiasm and the constant providing of incentives. Games, digital or otherwise, at school fall under the same category. Their blending and the children’s response to them are particularly interesting and, thus have triggered off the creation of a game, presented within the context of this paper.

We decided to investigate this hypothesis by evaluating the entropy of HRV recordings. The estimation of entropy obtained from wavelets, providing a timefrequency representation of the signal with optimal time-frequency resolution. Wavelet entropy overcomes limitations as stationarity that fourier transform takes into account. The application of wavelets in cardiology has been introduced with several approaches [6]. Detection of ischemia from QRS and identification of biological markers are some of the published applications [7].

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