Sparse Deconvolution of Electrodermal Activity via Continuous-Time System Identification

Conclusion: We develop a novel approach for deconvolution of SC by employing the HMF method and capturing the significant spectral components of SC data. Significance: Recovering the underlying neural stimuli more accurately using this approach will potentially improve tracking emotional states in affective computing.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research