An Adaptive Framework for Real-Time ECG Transmission in Mobile Environments

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="678309.fig.0010a" src="https://static.hindawi.com/articles/tswj/volume-2014/678309/figures/678309.fig.0010a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Original signal</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="678309.fig.0010b" src="https://static.hindawi.com/articles/tswj/volume-2014/678309/figures/678309.fig.0010b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Reconstructed signal at the RMS using conventional framework (SR+(simple ARQ)+RI)</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="678309.fig.0010c" src="https://static.hindawi.com/articles/tswj/volume-2014/678309/figures/678309.fig.0010c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Reconstructed signal at the RMS using the proposed framework (LR+(LB-EDF)+RI)</td></tr></table></td></tr></table>

<table>Snapshot of ECG signal fluctuations for MLII channel when PER is 0.1 and the patient moves at 2 km/h.</table>

The Scientific World Journal

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Figure 10

Figure 10: An Adaptive Framework for Real-Time ECG Transmission in Mobile Environments 