Hio-Been Han пре 2 година
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1 измењених фајлова са 6 додато и 5 уклоњено
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      README.md

+ 6 - 5
README.md

@@ -5,7 +5,7 @@ version 1.0.1
 ##### https://gin.g-node.org/hiobeen/Mouse_EEG_ChronicSleepRestriction_Kim_et_al
 ##### https://gin.g-node.org/hiobeen/Mouse_EEG_ChronicSleepRestriction_Kim_et_al
 
 
 
 
-A set of screw  and high-density (36 channel, intermittent 2-hour recordings) EEG (electroencephalogram) recording obtained from freely-moving mice (mus musculus) (n = 9). Details of experimental method are described in the original research articles using the same dataset.
+A set of screw (2+1 channels of EEG & Accelerometer, 24-hour x 9-day recordings)  and high-density (36 channels, intermittent 2-hour recordings) EEG (electroencephalogram) data obtained from freely-moving mice (mus musculus) (n = 9). Details of experimental method are described in the original research articles using the same dataset.
 
 
 > Screw EEG: 2+1 channels (EEG & accelerometer): ceaseless 9-day recording (Total 9 mice, 9x24 hours per mouse).
 > Screw EEG: 2+1 channels (EEG & accelerometer): ceaseless 9-day recording (Total 9 mice, 9x24 hours per mouse).
     
     
@@ -32,18 +32,19 @@ download: (g-node url)
 
 
 Large dataset can be downloaded through gin-cli tool.
 Large dataset can be downloaded through gin-cli tool.
 
 
-After installation gin-cli, run three commands below in your command line window.
+After installation of gin-cli, run three commands below in your command line window.
 
 
+```bash
  gin get hiobeen/Mouse_EEG_ChronicSleepRestriction_Kim_et_al
  gin get hiobeen/Mouse_EEG_ChronicSleepRestriction_Kim_et_al
  
  
  cd Mouse_EEG_ChronicSleepRestriction_Kim_et_al/
  cd Mouse_EEG_ChronicSleepRestriction_Kim_et_al/
  
  
  gin download --content
  gin download --content
- 
+``` 
  
  
 Reference: https://gin.g-node.org/G-Node/Info/wiki/GIN+CLI+Usage+Tutorial
 Reference: https://gin.g-node.org/G-Node/Info/wiki/GIN+CLI+Usage+Tutorial
 
 
-
+   
 ## 3. Analysis tutorial
 ## 3. Analysis tutorial
 
 
 ### 3-1) Loading EEG data
 ### 3-1) Loading EEG data
@@ -143,7 +144,7 @@ def load_data(sbjIdx=0, sessIdx=0, verbose = True):
 ```
 ```
 
 
 Now we're all set for EEG signal processing.
 Now we're all set for EEG signal processing.
-
+   
 ### 3-2) Sleep wave analysis (SWA, Spindle)
 ### 3-2) Sleep wave analysis (SWA, Spindle)
 
 
 Several analysis can be done on this data such as spectral power, slow wave activity, sleep spindles, traveling wave, interaction among different oscillatory activities. Here, we provide examples of the sleep wave analyses including SWA (slow wave activity) and spindle. For that, example EEG data from the dataset (subject 1, session 1) is loaded. 
 Several analysis can be done on this data such as spectral power, slow wave activity, sleep spindles, traveling wave, interaction among different oscillatory activities. Here, we provide examples of the sleep wave analyses including SWA (slow wave activity) and spindle. For that, example EEG data from the dataset (subject 1, session 1) is loaded.