Hi,
I am looking for a suitable method to take into account the non specific SCRs when computing the average SCL.
Since non specific SCRs artificially distort the SCL, I want to "remove" them from my SCL.
I compute average SCL on 1 min periods. Should I compute the mean of all the SCRs amplitude within this 1 minute and substract it from the average SCL ?
Thank you in advance.
You are right that NS-SCRs have to be taken into account when computing SCL. Two methods are available in the biopac's acknowledge for that.
One passes the raw data through a median value smoothing filter and the SCL can be obtained by subtracting the filtered waveform from the original data.
Another method passes the data through a high pass filter of 0.05 Hz. Since tonic is a "slow" component, cut-off frequency of 0.05 Hz should do the job of separating the two components.
If you are looking into a tool to process your EDA data, you can check out the NeuroKit package https://github.com/neuropsychology/NeuroKit . It has great functions and tutorials to process physiological data.
You are right that NS-SCRs have to be taken into account when computing SCL. Two methods are available in the biopac's acknowledge for that.
One passes the raw data through a median value smoothing filter and the SCL can be obtained by subtracting the filtered waveform from the original data.
Another method passes the data through a high pass filter of 0.05 Hz. Since tonic is a "slow" component, cut-off frequency of 0.05 Hz should do the job of separating the two components.
If you are looking into a tool to process your EDA data, you can check out the NeuroKit package https://github.com/neuropsychology/NeuroKit . It has great functions and tutorials to process physiological data.
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