Bug fix

.gitignore

@@ -0,0 +1,2 @@
+# IPython notebook checkpoints
+.ipynb_checkpoints

eeg_jupyer.ipynb

@@ -97,13 +97,30 @@
     "        urllib.request.urlretrieve(URLS[i]+sub+'.edf', os.path.join(USERDIR, folder, sub+'.edf'))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Data Description\n",
+    "\n",
+    "Subjects performed different motor/imagery tasks while 64-channel EEG were recorded using the BCI2000 system (http://www.bci2000.org). Each subject performed 14 experimental runs: two one-minute baseline runs (one with eyes open, one with eyes closed), and three two-minute runs of each of the four following tasks:\n",
+    "A target appears on either the left or the right side of the screen. The subject opens and closes the corresponding fist until the target disappears. Then the subject relaxes.\n",
+    "A target appears on either the left or the right side of the screen. The subject imagines opening and closing the corresponding fist until the target disappears. Then the subject relaxes.\n",
+    "A target appears on either the top or the bottom of the screen. The subject opens and closes either both fists (if the target is on top) or both feet (if the target is on the bottom) until the target disappears. Then the subject relaxes.\n",
+    "A target appears on either the top or the bottom of the screen. The subject imagines opening and closing either both fists (if the target is on top) or both feet (if the target is on the bottom) until the target disappears. Then the subject relaxes.\n",
+    "\n",
+    "The data are provided here in EDF+ format (containing 64 EEG signals, each sampled at 160 samples per second, and an annotation channel). For use with PhysioToolkit software, rdedfann generated a separate PhysioBank-compatible annotation file (with the suffix .event) for each recording. The .event files and the annotation channels in the corresponding .edf files contain identical data."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## 2. Raw Data Import\n",
     "\n",
-    "I will use a EEG data handling package named MNE (https://martinos.org/mne/stable/index.html) to import raw data and annotation for events from edf files. This package also provides essential signal analysis features, e.g. band-pass filtering. The raw data were filtered using 1Hz of high-pass filter."
+    "I will use a EEG data handling package named MNE (https://martinos.org/mne/stable/index.html) to import raw data and annotation for events from edf files. This package also provides essential signal analysis features, e.g. band-pass filtering. The raw data were filtered using 1Hz of high-pass filter.\n",
+    "\n",
+    "In this research, there are 5 classes for the data: imagined motion of right fist, left fist, both fists, both feet, and rest with eyes closed. A data from one of the 109 subjects was excluded as the record was severely corrupted."
    ]
   },
   {