By Stavros Alifragkis, George Papakonstantinou (auth.), Constantinos T. Angelis, Dimitrios Fotiadis, Alexandros T. Tzallas (eds.)
This booklet constitutes the completely refereed post-conference complaints of the 3rd foreign ICST convention on Ambient Media and structures, AMBI-SYS 2013, held in Athens, Greece, in March 2013. The 12 revised complete papers awarded have been rigorously reviewed and chosen from quite a few submissions. The papers specialize in rising applied sciences, providers and options for brand new, human-centric clever ambient environments.
Read or Download Ambient Media and Systems: Third International ICST Conference, AMBI-SYS 2013, Athens, Greece, March 15, 2013, Revised Selected Papers PDF
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Extra resources for Ambient Media and Systems: Third International ICST Conference, AMBI-SYS 2013, Athens, Greece, March 15, 2013, Revised Selected Papers
Sample text
The basic device is the spirometer that collects patient's measurements and data. The second device is a smart handheld device that plays a dual role in our model. Fig. 1. This model can be the structure of an asthma telemedicine system with a cloud telemedicine service Managing Children's Asthma with a Low Cost Web-Enabled Multifunctional Device 53 The basic reason that we use a smart handheld is that spirometer can gain access to the internet through it via a Bluetooth wireless connection. Furthermore, an application is installed on the handheld with a simple to use interface.
These results suggest considerable potential in using wavelet entropy to estimate the effects of exercise in healthy and diabetic during HRV analysis. References 1. : Wavelets for biomedical signal processing. In: 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 6, pp. 2688–2691 (1997) 2. : Insights from the study of heart rate variability. Annual Review of Medicine 50, 249–261 (1999) 3. : Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections.
A wavelet is a “small wave” of small duration having an average value that is zero. Unlike fourier transform, where fourier sine and cosine functions are smooth, predictable and extend from minus to plus infinity, wavelets could be chosen from an unlimited tank of basis functions, they are usually non-symmetrical, with small duration and a finite period. The decomposition of a signal using a wavelet transform needs a function sufficiently regular and localized, called “Mother function”. Wavelet transformation is a linear operation that decomposes the signal into a number of scales corresponding to frequency components and evaluates every scale with a certain resolution [15, 16].
