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Table 1 Key Algorithms Employed in GEMS and Quantitative Validation References

From: The gastrointestinal electrical mapping suite (GEMS): software for analyzing and visualizing high-resolution (multi-electrode) recordings in spatiotemporal detail

Algorithm

Function

Validated In:

Filtering: moving median, wavelet, Butterworth and Savitsky-Golay filters

Reduce baseline drift and high-frequency noise from signals.

Paskaranandavadivel 2011 [21]

Falling-Edge Variable Threshold (FEVT)

Automated marking of slow wave activation times

Erickson et al. 2010 [13]

Region-GRowing Using Polynomial-surface- estimate Stabilization (REGROUPS)

Automated clustering (grouping) of slow wave activation times into discrete cycles

Erickson et al. 2011 [14]

Spatial Visualization and Interpolation (SIV) Scheme

Automated interpolation and graphing of isochronal maps of slow wave propagation patterns

Erickson et al. 2011 [14]

Amplitude Estimation by Peak-Trough Zero-Crossings Scheme

Automated estimation of extracellular amplitudes

Paskaranandavadivel 2011 [21]

Velocity Estimation by Smoothed Finite Difference Scheme

Automated estimation of velocity fields for slow wave propagation maps

Paskaranandavadivel 2012 [15]

Amplitude and Velocity Field Visualization Schemes

Automated graphing of spatial data on amplitude and propagation velocity

Paskaranandavadivel 2011,2012 [15, 21]