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tyler
2026-04-22 15:52:34 -07:00
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@@ -129,7 +129,7 @@ Generates an image showing where the optodes were located. This is an important
If OPTODE_PLACEMENT is set to False, SHOW_OPTODE_NAMES will be ignored. If OPTODE_PLACEMENT is set to False, SHOW_OPTODE_NAMES will be ignored.
## Short/Long Channels ## Short/Long Channels
Identifies both short and long channels. A channel is the inter-optode distance between two optodes. Different fNIRS caps will vary in spatial resolution, and as such the requirements for what constitutes a short or long channel will vary depending on the hardware designed and user preferences. If your design has a short channel included, you will need to use this method. If a channel is longer than the allowable distance, it will be removed entirely. If a short channel is requested but no channels are found below the set threshold, the processing of the participant will fail. Identifies both short and long channels. A channel is the inter-optode distance between two optodes. Different fNIRS caps will vary in spatial resolution, and as such the requirements for what constitutes a short or long channel will vary depending on the hardware designed and user preferences. If your design has a short channel included, you will need to use this method. If a channel is longer than the allowable distance, it will be removed entirely. If a short channel is requested but no channels are found below the set threshold, the processing of the participant will fail.
Note: FLARES currently only guarantees support for one short channel. If your design has multiple short channels, raise a feature request on the git page. Note: FLARES currently only guarantees support for one short channel. If your design has multiple short channels, raise a [feature request](https://git.research.dezeeuw.ca/tyler/flares/issues/new).
**Parameters:** **Parameters:**
- SHORT_CHANNEL (bool): True if the data has a short channel, False if the data does not have a short channel. - SHORT_CHANNEL (bool): True if the data has a short channel, False if the data does not have a short channel.
@@ -186,6 +186,7 @@ If CV is set to False, CV_THRESHOLD will be ignored.
## Mean Absolute Deviation ## Mean Absolute Deviation
Calculates the mean absolute deviation of the participant. This quality metric identifies outliers based on how much their signal swings compared to all other channels. If the entire channel averaged does not remain under the threshold value, then the channel will be marked as a bad channel. Calculates the mean absolute deviation of the participant. This quality metric identifies outliers based on how much their signal swings compared to all other channels. If the entire channel averaged does not remain under the threshold value, then the channel will be marked as a bad channel.
**Parameters:** **Parameters:**
- MAD (bool): True if MAD should be calculated, False if MAD should not be calculated. - MAD (bool): True if MAD should be calculated, False if MAD should not be calculated.
- MAD_THRESHOLD (int): Any value >=0, where 0 is no deviations. A good threshold value would be <=4. - MAD_THRESHOLD (int): Any value >=0, where 0 is no deviations. A good threshold value would be <=4.