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@@ -89,9 +89,9 @@ You can access the TD-NIRS data with:
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  The first dimension has the samples. The TD-NIRS streams at 4.76Hz and 15 seconds at 4.76Hz is 72 samples.
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- The second dimension corresponds to the 40 modules on the Kernel Flow headset. The moments data is averaged by module across channels where the module acted as a source. Their location on the head, when viewed from outside the headset and above is:
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- ![Kernel Flow Module Map](https://huggingface.co/datasets/KernelCo/robot_control/resolve/main/FlowModuleMap.png)
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  The third dimension corresponds to the 3 various SDSs (source-detector separations) used. The moments data is averaged across channels whose separation is within a range. The mapping to index is:
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  ```
 
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  The first dimension has the samples. The TD-NIRS streams at 4.76Hz and 15 seconds at 4.76Hz is 72 samples.
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+ The second dimension corresponds to the 40 modules on the Kernel Flow headset. The moments data is averaged by module across channels where the module acted as a source. Their location on the head, when viewed from outside the headset and above, with the nose being at the top and the back of the head at the bottom, is:
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+ <img alt="Kernel Flow Module Map" src="https://huggingface.co/datasets/KernelCo/robot_control/resolve/main/FlowModuleMap.png" width="500px" />
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  The third dimension corresponds to the 3 various SDSs (source-detector separations) used. The moments data is averaged across channels whose separation is within a range. The mapping to index is:
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  ```