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tyler
2026-04-22 16:06:07 -07:00
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@@ -82,7 +82,7 @@ When performing a fNIRS analysis, these parameters are some of the most importan
- [Peak Spectral Power](#peak-spectral-power) - [Peak Spectral Power](#peak-spectral-power)
- [Coefficient of Variation](#coefficient-of-variation) - [Coefficient of Variation](#coefficient-of-variation)
- [Median Absolute Deviation](#median-absolute-deviation) - [Median Absolute Deviation](#median-absolute-deviation)
- [Power Spectral Density Noise](#power-spectral-density) - [Power Spectral Density Noise](#power-spectral-density-noise)
- [Channel Variance](#channel-variance) - [Channel Variance](#channel-variance)
- [Bad Channels Handling](#bad-channels-handling) - [Bad Channels Handling](#bad-channels-handling)
- [Optical Density](#optical-density) - [Optical Density](#optical-density)
@@ -226,7 +226,7 @@ If BAD_CHANNELS_HANDLING is not set to “Interpolate”, MAX_DIST and MIN_NEIGH
If BAD_CHANNELS_HANDLING is not set to “Remove”, MAX_BAD_CHANNELS will be ignored. If BAD_CHANNELS_HANDLING is not set to “Remove”, MAX_BAD_CHANNELS will be ignored.
## Optical Density ## Optical Density
Calculates the optical density of the data. This process is documented better here at <this link>. This process is self contained and is required step, so it does not contain any user exposed parameters. Calculates the optical density of the data. This process is documented better here at <this link>. This process is self contained and is required step, so it does not contain any user exposed parameters.
Temporal Derivative Distribution Repair filtering ### Temporal Derivative Distribution Repair filtering
Calculates and applies temporal derivative distribution repair filtering to the data. This is a method that removes baseline shift and spike artifacts from the data. This process is documented better here at <this link>. Calculates and applies temporal derivative distribution repair filtering to the data. This is a method that removes baseline shift and spike artifacts from the data. This process is documented better here at <this link>.
**Parameters:** **Parameters:**