Unveiling the Biometric Potential of Finger-Based ECG Signals

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="720971.fig.007a" src="https://static.hindawi.com/articles/cin/volume-2011/720971/figures/720971.fig.007a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Unnormalized</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="720971.fig.007b" src="https://static.hindawi.com/articles/cin/volume-2011/720971/figures/720971.fig.007b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Normalized</td></tr></table></td></tr></table>

<table>Example of unnormalized and normalized segmented signals.</table>

Computational Intelligence and Neuroscience

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Figure 7

Figure 7: Unveiling the Biometric Potential of Finger-Based ECG Signals 