Academic journal article The Journal of Parapsychology

Detecting Dmils Effects in Eda Records: A Signal-Engineering Approach

Academic journal article The Journal of Parapsychology

Detecting Dmils Effects in Eda Records: A Signal-Engineering Approach

Article excerpt

We thank our colleagues at the IGPP, Christian Scheer, Markus Binder, and Rainer Schneider, for their effective help with data preparation and transfers as well as for making data from their next DMILS study available to us for comparison. We also gratefully acknowledge IGPP funding and support of the study.

ABSTRACT: The aim of this study is to explore various means of quantitative assessment of DMILS effects as measured by electrodermal activity (EDA). The approach adopted in this study is that of signal engineering rather than that of electrophysiology: we have focused on extraction of EDA signal parameters that seem to carry the useful information on the effect as opposed to a search for an optimal assessment of the hypothetical target variable (level of arousal). Such redefinition of the task allows us to assess the effects in terms of formally well-defined, easy-to-compute signal parameters.

The signal analysis procedure was based on integration of rectified (absolute values or squared values) first or second derivatives of the EDA time series. The integral values computed over activating and calming periods are used to compute two dimensionless indices: an index of effect magnitude (Q) and an index of effect discrimination (D). …

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