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4 changes: 2 additions & 2 deletions docs/Tutorial_Annotation_Vectors.ipynb
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"id": "652de924-c201-4081-bb7e-fc6aee11dcd0",
"metadata": {},
"source": [
"### Loading the Hemoglobin Concentration Dataset\n",
"## Hemoglobin Concentration Dataset\n",
"\n",
"In order to demonstrate guided motif search, we can construct an annotation vector based on desirable and undesirable time series subsequences. In many cases, the undesirability of some subsquences is absolute. In other words, we want to completely disallow some regions in the time series from being considered in our motif search. Thus, our annotation vector will be 1.0 at desirable regions and 0.0 during undesirable regions. There will be no in-between.\n",
"\n",
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"id": "3954b50c-1f52-480a-b7af-8dd409a99eb1",
"metadata": {},
"source": [
"### Loading the Electrooculography Dataset\n",
"## Electrooculography Dataset\n",
"\n",
"Consider the [EOG dataset](https://drive.google.com/file/d/0B1ZwONZKxJgTVlJNOHExZVdQakU/view?usp=sharing&resourcekey=0--td4bLttW9gLas65IU1leg) containing electric potential data of the left-eye, sampled at 50 Hz. **EOG**, or **Electrooculography**, is a technique for measring the potential that exists between the front and back of the human eye. We can download and visualize the data to better understand its trend."
]
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