Table 6.
Code for computation of ImitationEffectiveness and AdoptionFraction variables.
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INPUT (“Stress Threshold,” ST, %); IF {[Δ(EMG-Z) < ST] OR [Δ(EMG-CS) > ST]} AND [Δ(SC_Mean) > ST]} OR { [Δ(RSA) < ST] OR [Δ(LFbyHF) > ST] OR [Δ(HF) < ST] OR [Δ(LF) > ST] OR [Δ(TOTPWR) > ST] OR [Δ(pNN50) < ST] OR [Δ(rMSSD) < ST] OR [Δ(SDNN) < ST] OR [Δ(AVNN) < ST] } OR { n-Tuple (couple, triple, …) combination of the following rules: Δ(RSA) < ST] OR [Δ(LFbyHF) > ST] OR [Δ(HF) < ST] OR [Δ(LF) > ST] OR [Δ(TOTPWR) > ST] OR [Δ(pNN50) < ST] OR [Δ(rMSSD) < ST] OR [Δ(SDNN) < ST] OR [Δ(AVNN) < ST] OR [Δ(Alpha) < ST] OR [Δ(Beta) > ST] OR [Δ(EEG_Asym) < ST] } OR [Δ(SUS_Post-Bas) > 0] OR [Δ(PMQ_ANXIETY_Post-Pre) > ST] OR [Δ(PMQ_RELAX_Post-Pre) < ST]; THEN Δ(ImitationEffectiveness) > 0; *considering indexes in conditions 1–4 Δ(AdoptionFraction) > 0; *considering indexes in condition 5 OUTPUT (ImitationEffectiveness AdoptionFraction); |