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Thesis - Instituto de Telecomunicações

Thesis - Instituto de Telecomunicações

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80 CHAPTER 4. SIGNAL PROCESSING AND FEATURE EXTRACTIONto the first and second or<strong>de</strong>r signal <strong>de</strong>rivative zeros, expressed in equation (4.26) - at evenlyspaced intervals. Also, we evaluate the ability of the proposed method to address situationsof overlapping and small amplitu<strong>de</strong> events.Figure 4.6: EDA signal segment and corresponding <strong>de</strong>tected events using the proposedmo<strong>de</strong>l. The vertical dashed lines mark the t 0 instant of each <strong>de</strong>tected event. The <strong>de</strong>tecte<strong>de</strong>vents are <strong>de</strong>picted aligned with 0. The bottom plot <strong>de</strong>picts the a scaled view of the <strong>de</strong>tecte<strong>de</strong>vents.Figure 4.6 illustrates the obtained results, showing 25 seconds of acquired EDA signal(continuous upper line); the SCR events, <strong>de</strong>tected by the application of our proposed mo<strong>de</strong>land method, are also presented at the bottom of the figure, immediately following the <strong>de</strong>tectedonset times t o , indicated by vertical dashed lines. From this figure, it is apparent theability of the proposed method to correctly <strong>de</strong>tect and extract overlapping events. Detailedobservation of the first two marked events, amplified in the bottom plot of the figure, showsthe ability to <strong>de</strong>tect subtle, small amplitu<strong>de</strong> events, superimposed in a <strong>de</strong>creasing zone ofa stronger SCR event. Significant events can be selected by applying some threshold over

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