The article proposes a deconvolution approach to separate skin conductance (SC) data into continuous signals of tonic and phasic activity, addressing the issue of overlapping skin conductance responses (SCRs) that complicates traditional trough-to-peak analysis. The phasic activity, which shows a zero baseline and distinct, compact impulses with an average duration of less than 2 seconds, is proposed as a continuous measure of event-related sympathetic activity. The method involves deconvolution to estimate the tonic and phasic components, with the phasic component further integrated over a specified response window to obtain a straightforward indicator of event-related activity. The quality and benefits of this measure are demonstrated through an experiment with short interstimulus intervals (ISIs) and a simulation study. The approach is compared to previous decomposition methods, showing advantages in reducing underestimation biases and providing a more accurate representation of phasic responses.The article proposes a deconvolution approach to separate skin conductance (SC) data into continuous signals of tonic and phasic activity, addressing the issue of overlapping skin conductance responses (SCRs) that complicates traditional trough-to-peak analysis. The phasic activity, which shows a zero baseline and distinct, compact impulses with an average duration of less than 2 seconds, is proposed as a continuous measure of event-related sympathetic activity. The method involves deconvolution to estimate the tonic and phasic components, with the phasic component further integrated over a specified response window to obtain a straightforward indicator of event-related activity. The quality and benefits of this measure are demonstrated through an experiment with short interstimulus intervals (ISIs) and a simulation study. The approach is compared to previous decomposition methods, showing advantages in reducing underestimation biases and providing a more accurate representation of phasic responses.