diff --git a/website/docs/AddOns/Electrodes/00-ElectrodesLanding.md b/website/docs/AddOns/Electrodes/00-ElectrodesLanding.md
index 5f1f18f11..7c4395b37 100644
--- a/website/docs/AddOns/Electrodes/00-ElectrodesLanding.md
+++ b/website/docs/AddOns/Electrodes/00-ElectrodesLanding.md
@@ -18,7 +18,7 @@ OpenBCI Boards are compatible with a variety of different electrodes.
 
 ## EMG/ECG Foam Solid Gel Electrodes
 
-[**Buy Here!**](https://shop.openbci.com/collections/frontpage/products/skintact-f301-pediatric-foam-solid-gel-electrodes-30-pack?variant=29467659395)
+[**Buy Here!**](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack)
 
 ## EMG/ECG Snap Electrode Cables
 
diff --git a/website/docs/Deprecated/14-MyoWare_Integration.md b/website/docs/Deprecated/14-MyoWare_Integration.md
index b36c56120..e103d4f76 100644
--- a/website/docs/Deprecated/14-MyoWare_Integration.md
+++ b/website/docs/Deprecated/14-MyoWare_Integration.md
@@ -21,7 +21,7 @@ This tutorial will show you how to read EMG data (electrical signals from muscle
 1.  MyoWare board
 2.  OpenBCI Cyton board, with power source
 3.  OpenBCI dongle
-4.  Skintact sticky electrodes (for using the MyoWare board)
+4.  Solid Gel Electrodes (for using the MyoWare board)
 5.  Soldering iron and materials
 6.  Two male-male jumper wires (like [these](https://www.adafruit.com/product/266)), and three male-female jumper wires (like [these](https://www.adafruit.com/product/826))
 
@@ -69,7 +69,7 @@ When you have everything wired up, set the power switch on the MyoWare board to
 
 ### 4. Streaming EMG Data with the OpenBCI GUI
 
-Attach three Skintact electrodes to the three electrodes on the MyoWare board, and then stick the board on a muscle you'd like to monitor. The adafruit MyoWare tutorial has good guidelines for MyoWare board placement: (https:).
+Attach three Solid Gel Electrodes to the three electrodes on the MyoWare board, and then stick the board on a muscle you'd like to monitor. The adafruit MyoWare tutorial has good guidelines for MyoWare board placement: (https:).
 
 You'll be able to see signals from the MyoWare electrodes in the OpenBCI GUI. If you connected E and M to the N1P pins on the OpenBCI board, then the MyoWare data will appear in channel 1.
 
diff --git a/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md b/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md
index 0346ea21b..bda34a99e 100644
--- a/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md
+++ b/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md
@@ -19,7 +19,7 @@ This tutorial will show you how to read EMG data (electrical signals from muscle
 
 1.  MyoWare board
 2.  OpenBCI Ganglion board, with power source
-3.  Skintact sticky electrodes (for using the MyoWare board)
+3.  Solid Gel Electrodes (for using the MyoWare board)
 4.  Soldering iron and materials
 5.  Two male-male jumper wires (like [these](https://www.adafruit.com/product/266)), and three male-female jumper wires (like [these](https://www.adafruit.com/product/826))
 
@@ -63,7 +63,7 @@ When you have everything wired up, set the power switch on the MyoWare board to
 
 ### 4. Streaming EMG Data with the OpenBCI GUI
 
-Attach three Skintact electrodes to the three electrodes on the MyoWare board, and then stick the board on a muscle you'd like to monitor. The Adafruit MyoWare tutorial has good guidelines for MyoWare board placement: (https:).
+Attach three Solid Gel Electrodes to the three electrodes on the MyoWare board, and then stick the board on a muscle you'd like to monitor. The Adafruit MyoWare tutorial has good guidelines for MyoWare board placement: (https:).
 
 You'll be able to see signals from the MyoWare electrodes in the OpenBCI GUI. If you connected E and M to the 1- and 1+ pins on the OpenBCI Ganglion board, then the MyoWare data will appear in channel 1.
 
diff --git a/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md b/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md
index 877ca10ad..de879f4b5 100644
--- a/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md
+++ b/website/docs/Examples/EMGProjects/01-EMG_Scrolling.md
@@ -13,7 +13,7 @@ The following instructions have been written for use with Windows 10.
 ## Materials Required
 
 1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Skintact sticky electrodes](https://shop.openbci.com/collections/frontpage/products/skintact-f301-pediatric-foam-solid-gel-electrodes-30-pack?variant=29467659395) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
 3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
 4.  Computer with downloaded OpenBCI [GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
 
diff --git a/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md b/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md
index 450481011..ee124de5b 100644
--- a/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md
+++ b/website/docs/Examples/EMGProjects/02-EMG_Controlled_Music.md
@@ -14,7 +14,7 @@ The following instructions have been written for use with Windows 10.
 ## Materials Required
 
 1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Skintact sticky electrodes](https://shop.openbci.com/collections/frontpage/products/skintact-f301-pediatric-foam-solid-gel-electrodes-30-pack?variant=29467659395) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
 3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
 4.  Computer with downloaded OpenBCI [GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
 
diff --git a/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md b/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md
index d1b9dcbe1..8635f2e52 100644
--- a/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md
+++ b/website/docs/Examples/EMGProjects/05-EMG_Chrome_Dino_Game.md
@@ -1,51 +1,51 @@
----
-id: EMG_Chrome_Dino_Game
-title: EMG Chrome Dino Game
----
-In this tutorial we will show you how to play the Google Chrome Dinosaur Game without touching your laptop. To do that, we will read EMG data from your arm muscles and find the peaks which correspond to flexing, using them to trigger a jump of the dinosaur.
-
-Check out an example video of this tutorial being put into action!
-
-![EMGdinogif](https://media.giphy.com/media/Iyxb0WAiUUvffbg3mV/giphy.gif)
-
-The following instructions have been written for use with Linux 16.04.
-
-## Materials Required
-
-1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Skintact sticky electrodes](https://shop.openbci.com/collections/frontpage/products/skintact-f301-pediatric-foam-solid-gel-electrodes-30-pack?variant=29467659395) or [IDUN Dryodes](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
-3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
-4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
-
-## Step 1: Hardware Assembly.
-
-Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, you will need to connect one of your arms to Channel 1 and Ground.
-
-## Step 2: Software Setup.
-
-Install Python version 2 or 3. [Here](https://www.geeksforgeeks.org/how-to-download-and-install-python-latest-version-on-linux/) is a useful tutorial to find out if Python is already installed on your computer and to install it. To use this program, you need the following Python packages installed:
-
--   **pylsl** : use `pip install pylsl` from the command line to install it.
--   **pyautogui** : use `pip install pyautogui` to install it.
--   **brainflow**: use `pip install brainflow`.
--   **numpy**: use `pip install numpy`.
-
-## Step 3: Download and Run the Script.
-
-The Python script will set up the Cyton board, read data from it, and analyze it to detect any spikes that correspond to muscle flexing. If a flex is detected and 100 milliseconds have passed since the last one, it will press the space bar, which will make the dinosaur jump. The threshold for the time between flexes can be modified as needed to avoid debouncing.
-
-In this tutorial, we provide two alternative ways of processing the data to detect the peaks and encourage you to think of your own ways to do it. Get either the `chrome_dino_v1.py` or the `chrome_dino_v2.py` Python script from [here](https://github.com/evaesteban/brainflow/tree/games/games) by cloning the repository or copying the individual code file to a .py script. Once your board is connected, open a terminal and launch the script by running `python <script name> --serial-port /dev/ttyUSB0 --board-id 0` from the folder its stored in.
-
-**Important:** If you are using a serial port other than /dev/ttyUSB0, replace it in the above command.
-
-Once the script has launched, follow the instructions on the terminal. The script `chrome_dino_v1.py` removes the noise from the signal, squares it, and sets a threshold to detect the peaks. The script `chrome_dino_v2.py` denoises the signal and then uses a rolling window with normalization to detect the peaks.
-
-**Important**: If you are using `chrome_dino_v1.py` and the mean value printed out is negative, swap the N and P electrode cables and repeat calibration to get a positive mean.
-
-Next, open a Google Chrome tab and go to the url `chrome://dino`. You do not have to disable your internet to access this free game. Start the game by pressing the spacebar or flexing your arm. Every time you flex, the dinosaur will jump. Since we’re processing raw signals, the threshold might need to be adjusted. If the jump is not getting triggered, play with the value of `flex_thres` by modifying the variable directly in `chrome_dino_v2.py` or the percentage multiplier set to 0.5 in `chrome_dino_v1.py`. You can also modify the time between flexes by changing the parameter `time_thres`.
-
-To learn more about brainflow visit its [GitHub repository](https://github.com/brainflow-dev/brainflow) and its [Documentation](https://brainflow.readthedocs.io/en/stable/).
-
-This is a great example to get started with brainflow. Try it out and send us a video of how you modify this prototype!
-
-**Note**: This tutorial is based on Brainflow 2020. If you experience any issues with the latest versions email us at [contact@openbci.com](mailto:contact@openbci.com).
+---
+id: EMG_Chrome_Dino_Game
+title: EMG Chrome Dino Game
+---
+In this tutorial we will show you how to play the Google Chrome Dinosaur Game without touching your laptop. To do that, we will read EMG data from your arm muscles and find the peaks which correspond to flexing, using them to trigger a jump of the dinosaur.
+
+Check out an example video of this tutorial being put into action!
+
+![EMGdinogif](https://media.giphy.com/media/Iyxb0WAiUUvffbg3mV/giphy.gif)
+
+The following instructions have been written for use with Linux 16.04.
+
+## Materials Required
+
+1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryodes](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
+4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
+
+## Step 1: Hardware Assembly.
+
+Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, you will need to connect one of your arms to Channel 1 and Ground.
+
+## Step 2: Software Setup.
+
+Install Python version 2 or 3. [Here](https://www.geeksforgeeks.org/how-to-download-and-install-python-latest-version-on-linux/) is a useful tutorial to find out if Python is already installed on your computer and to install it. To use this program, you need the following Python packages installed:
+
+-   **pylsl** : use `pip install pylsl` from the command line to install it.
+-   **pyautogui** : use `pip install pyautogui` to install it.
+-   **brainflow**: use `pip install brainflow`.
+-   **numpy**: use `pip install numpy`.
+
+## Step 3: Download and Run the Script.
+
+The Python script will set up the Cyton board, read data from it, and analyze it to detect any spikes that correspond to muscle flexing. If a flex is detected and 100 milliseconds have passed since the last one, it will press the space bar, which will make the dinosaur jump. The threshold for the time between flexes can be modified as needed to avoid debouncing.
+
+In this tutorial, we provide two alternative ways of processing the data to detect the peaks and encourage you to think of your own ways to do it. Get either the `chrome_dino_v1.py` or the `chrome_dino_v2.py` Python script from [here](https://github.com/evaesteban/brainflow/tree/games/games) by cloning the repository or copying the individual code file to a .py script. Once your board is connected, open a terminal and launch the script by running `python <script name> --serial-port /dev/ttyUSB0 --board-id 0` from the folder its stored in.
+
+**Important:** If you are using a serial port other than /dev/ttyUSB0, replace it in the above command.
+
+Once the script has launched, follow the instructions on the terminal. The script `chrome_dino_v1.py` removes the noise from the signal, squares it, and sets a threshold to detect the peaks. The script `chrome_dino_v2.py` denoises the signal and then uses a rolling window with normalization to detect the peaks.
+
+**Important**: If you are using `chrome_dino_v1.py` and the mean value printed out is negative, swap the N and P electrode cables and repeat calibration to get a positive mean.
+
+Next, open a Google Chrome tab and go to the url `chrome://dino`. You do not have to disable your internet to access this free game. Start the game by pressing the spacebar or flexing your arm. Every time you flex, the dinosaur will jump. Since we’re processing raw signals, the threshold might need to be adjusted. If the jump is not getting triggered, play with the value of `flex_thres` by modifying the variable directly in `chrome_dino_v2.py` or the percentage multiplier set to 0.5 in `chrome_dino_v1.py`. You can also modify the time between flexes by changing the parameter `time_thres`.
+
+To learn more about brainflow visit its [GitHub repository](https://github.com/brainflow-dev/brainflow) and its [Documentation](https://brainflow.readthedocs.io/en/stable/).
+
+This is a great example to get started with brainflow. Try it out and send us a video of how you modify this prototype!
+
+**Note**: This tutorial is based on Brainflow 2020. If you experience any issues with the latest versions email us at [contact@openbci.com](mailto:contact@openbci.com).
diff --git a/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md b/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md
index ef9fe77ab..473f184f2 100644
--- a/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md
+++ b/website/docs/Examples/EMGProjects/EMG_Controlled_Piano.md
@@ -1,56 +1,56 @@
----
-id: EMGpiano
-title: EMG-controlled Piano
----
-
-In this tutorial, we will show you how to play the piano using just the EMG signals from your fingers! To do that, we will read EMG data from the muscles joining your fingers to your arms and find the peaks which correspond to pressing a key on a piano, using them as a trigger to play a virtual keyboard.
-
-Check out an example video of this tutorial being put into action!
-
-[![EMG Piano Tutorial](../../assets/TutorialImages/EMG-piano-full-screen.png)](https://youtu.be/-eaO98mhO5M)
-
-## Materials Required
-
-1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
-2.  [Skintact sticky electrodes](https://shop.openbci.com/collections/frontpage/products/skintact-f301-pediatric-foam-solid-gel-electrodes-30-pack?variant=29467659395) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
-3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
-4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
-
-## Step 1: Hardware Assembly
-
-Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, 4 channels are used: Channel 1 = right pinky, Channel 2 = right pointer, Channel 3 = left pointer, Channel 4 = left pinky. Only one ground is needed.
-
-**Important**: The most complicated part of this tutorial can be finding the right placement for each set of electrodes. The diagram seen below should work well universally, but feel free to mess around with the placement a bit to find where the most prominent flexes occur along your arms.
-
-![Electrode Placement Diagram](../../assets/TutorialImages/EMGdiagram.png)
-
-## Step 2: Software Setup
-
-Download and install [Python](https://www.python.org/downloads/) (either version 2 or 3). Python might already be installed on your computer. Type python --version to check if you have Python version 2 or 3 installed. To use this program, you need the following Python packages installed:
-
-- **pylsl**: use `python -m pip install pylsl` from the Python folder in the command line to install it.
-- **pyautogui** : use `python -m pip install pyautogui` to install.
-
-## Step 3: Stream data using the OpenBCI GUI
-
-Follow the networking [tutorial](Software/OpenBCISoftware/02_GUI_Widget_Guide.md#networking) on this link to learn how to stream data using LSL from the GUI. For this project, you will need to stream the EMG data from Channels 1-4 using the Networking Widget. Your Networking settings should look as follows:
-
-![LSL Networking Widget Screenshot](../../assets/TutorialImages/LSL-ss.png)
-
-**Important**: Make sure your EMG widget is open before you start streaming.
-
-## Step 4: Using a Python Script to Read the Data and Play
-
-The Python script will search for an EMG data stream. Once it finds the stream it will read it and detect any spikes that correspond to finger flex. If a flex is detected and 1 second has passed since the last flex, it will press a certain key, which will play a certain note on a virtual keyboard. The threshold for the time between flexes can be modified as needed to avoid debouncing.
-
-Get the Python script from [here](https://github.com/OpenBCI/OpenBCI_Tutorials/tree/master/EMG_Controlled_Piano) by clicking on ‘Raw’ and copying it to a .py file in your Python folder. Once you’re streaming data from the GUI, go to the Python folder from your command line by using the cd command, and run it using `python <script_name>.py`
-
-Open a virtual keyboard; we used [this one](https://www.onlinepianist.com/virtual-piano). Every time you move one of your fingers, it will play certain notes. By modifying the time_thres, pointer_thres, and pinky_thres parameters in the code, you can adjust the time to wait between finger movements and the strength of each movement to your needs.
-
-**Note:** The pointer finger flex can be slightly weaker, so the script establishes separate thresholds for the pointer fingers and the pinkies.
-
-The script codes for 4 different notes to play, each designated to one finger: G4 = right pinky, E4 = right pointer, D4 = left pointer, C4 = left pinky. To play Mary Had a Little Lamb, use the following guide in terms of Channels:
-
-2 , 3 , 4 , 3 , 2 , 2 , 2 , 3 , 3 , 3 , 2 , 1 , 1 , 2 , 3 , 4 , 3 , 2 , 2 , 2 , 2 , 3 , 3 , 2 , 3 , 4
-
-Try it out and send us a video of your final prototype!
+---
+id: EMGpiano
+title: EMG-controlled Piano
+---
+
+In this tutorial, we will show you how to play the piano using just the EMG signals from your fingers! To do that, we will read EMG data from the muscles joining your fingers to your arms and find the peaks which correspond to pressing a key on a piano, using them as a trigger to play a virtual keyboard.
+
+Check out an example video of this tutorial being put into action!
+
+[![EMG Piano Tutorial](../../assets/TutorialImages/EMG-piano-full-screen.png)](https://youtu.be/-eaO98mhO5M)
+
+## Materials Required
+
+1.  OpenBCI [Cyton Board](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel?variant=38958638542)
+2.  [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+3.  [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
+4.  Computer with downloaded OpenBCI [GUI](Software/OpenBCISoftware/01-OpenBCI_GUI.md)
+
+## Step 1: Hardware Assembly
+
+Follow the EMG Getting Started [tutorial](GettingStarted/Biosensing-Setups/02-EMG-Setup.md) on this link to connect the electrodes to your body and the Cyton board, and read data from it using the OpenBCI GUI. For this tutorial, 4 channels are used: Channel 1 = right pinky, Channel 2 = right pointer, Channel 3 = left pointer, Channel 4 = left pinky. Only one ground is needed.
+
+**Important**: The most complicated part of this tutorial can be finding the right placement for each set of electrodes. The diagram seen below should work well universally, but feel free to mess around with the placement a bit to find where the most prominent flexes occur along your arms.
+
+![Electrode Placement Diagram](../../assets/TutorialImages/EMGdiagram.png)
+
+## Step 2: Software Setup
+
+Download and install [Python](https://www.python.org/downloads/) (either version 2 or 3). Python might already be installed on your computer. Type python --version to check if you have Python version 2 or 3 installed. To use this program, you need the following Python packages installed:
+
+- **pylsl**: use `python -m pip install pylsl` from the Python folder in the command line to install it.
+- **pyautogui** : use `python -m pip install pyautogui` to install.
+
+## Step 3: Stream data using the OpenBCI GUI
+
+Follow the networking [tutorial](Software/OpenBCISoftware/02_GUI_Widget_Guide.md#networking) on this link to learn how to stream data using LSL from the GUI. For this project, you will need to stream the EMG data from Channels 1-4 using the Networking Widget. Your Networking settings should look as follows:
+
+![LSL Networking Widget Screenshot](../../assets/TutorialImages/LSL-ss.png)
+
+**Important**: Make sure your EMG widget is open before you start streaming.
+
+## Step 4: Using a Python Script to Read the Data and Play
+
+The Python script will search for an EMG data stream. Once it finds the stream it will read it and detect any spikes that correspond to finger flex. If a flex is detected and 1 second has passed since the last flex, it will press a certain key, which will play a certain note on a virtual keyboard. The threshold for the time between flexes can be modified as needed to avoid debouncing.
+
+Get the Python script from [here](https://github.com/OpenBCI/OpenBCI_Tutorials/tree/master/EMG_Controlled_Piano) by clicking on ‘Raw’ and copying it to a .py file in your Python folder. Once you’re streaming data from the GUI, go to the Python folder from your command line by using the cd command, and run it using `python <script_name>.py`
+
+Open a virtual keyboard; we used [this one](https://www.onlinepianist.com/virtual-piano). Every time you move one of your fingers, it will play certain notes. By modifying the time_thres, pointer_thres, and pinky_thres parameters in the code, you can adjust the time to wait between finger movements and the strength of each movement to your needs.
+
+**Note:** The pointer finger flex can be slightly weaker, so the script establishes separate thresholds for the pointer fingers and the pinkies.
+
+The script codes for 4 different notes to play, each designated to one finger: G4 = right pinky, E4 = right pointer, D4 = left pointer, C4 = left pinky. To play Mary Had a Little Lamb, use the following guide in terms of Channels:
+
+2 , 3 , 4 , 3 , 2 , 2 , 2 , 3 , 3 , 3 , 2 , 1 , 1 , 2 , 3 , 4 , 3 , 2 , 2 , 2 , 2 , 3 , 3 , 2 , 3 , 4
+
+Try it out and send us a video of your final prototype!
diff --git a/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md b/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md
index c74cadf26..f205b9da2 100644
--- a/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md
+++ b/website/docs/GettingStarted/Biosensing-Setups/04-ExG-Setup.md
@@ -2,29 +2,52 @@
 id: ExGSetup
 title: Setting up for EEG, EMG, and ECG at the same time
 ---
-OpenBCI Cyton+Daisy board offers a wide range of flexibility with more signal channels. 
-This tutorial will show you how to set up reading EEG (electroencephalography), EMG (electromyography), 
-ECG (electrocardiogram) data at the same time.
 
-After going through this document, you will learn one configuration for setting up multiple ExG recordings
-at the same time. You could apply the same principle to build channel layouts to fit your application (i.e., 
-3-lead ECG vs. 5-lead ECG; eight or more EEG channels).
+import CytonDaisyAttached from "../../assets/GettingStartedImages/CytonDaisyAttached.jpg";
+import ExG3ChannelEEG from "../../assets/GettingStartedImages/ExG3ChannelEEG.jpg";
+import ExGCompleteSetup from "../../assets/GettingStartedImages/ExGCompleteSetup.jpg";
+import ExGSetupGanglionSwitches from "../../assets/GettingStartedImages/ExGSetupGanglionSwitches.jpg";
+import ExGSetupGanglionFrontView from "../../assets/GettingStartedImages/ExGSetupGanglionFrontView.jpg";
+import ExGSetupGanglionTopView from "../../assets/GettingStartedImages/ExGSetupGanglionTopView.jpg";
 
-## Preliminary
+The OpenBCI Cyton, Cyton+Daisy and Ganglion boards offer a wide range of flexibility to collect ExG signals. ExG is meant to represent any referential or differential biosignal as a single term. This includes EEG, EMG, EOG, ECG etc. This tutorial will show you how to measure EEG, ECG and EMG at the same time using the Cyton, Cyton+Daisy and Ganglion boards.
 
-Before starting this tutorial, we recommend you go through at least one of the following guides to familiarize with OpenBCI 
-pipeline before starting this doc:
+After going through this tutorial, you will learn how to configure the OpenBCI boards to measure multiple ExG recordings at the same time. You could apply the same principle to build channel layouts to fit your application (i.e., 3-lead ECG vs. 5-lead ECG; eight or more EEG channels etc).
 
--   [EEG](01-EEG-Setup.md): scalp surface recording brain activity. [Learn more](https://en.wikipedia.org/wiki/Electroencephalography)  
--   [EMG](02-EMG-Setup.md): forearm measurement of muscle nerve signals [Learn more](https://en.wikipedia.org/wiki/Electromyography)
--   [ECG](03-ECG-Setup.md): \[measure heart rhythm on the chest [Learn more](https://en.wikipedia.org/wiki/Electrocardiography)
+## Background Information
 
+Before starting this tutorial, we recommend you go through at least one of the following guides to familiarize yourself with the OpenBCI system before starting this tutorial:
+
+- [EEG](01-EEG-Setup.md): scalp surface recording brain activity. [Learn more](https://en.wikipedia.org/wiki/Electroencephalography)
+- [EMG](02-EMG-Setup.md): forearm measurement of muscle nerve signals [Learn more](https://en.wikipedia.org/wiki/Electromyography)
+- [ECG](03-ECG-Setup.md): measure heart rhythm on the chest [Learn more](https://en.wikipedia.org/wiki/Electrocardiography)
 
 :::info
-Sometimes we use ECG and EKG interchangeably, as they are the same thing. This modality measures the electrical activity of muscles in the heart.
+ECG and EKG are used interchangeably and mean the same thing. Both terms measure the electrical activity of the heart muscles.
 :::
 
-## Materials Needed
+## Referential and Differential Signals with the ADS1299
+
+EEG, EMG, and ECG have different input requirements. This is because EEG is referential and EMG and ECG are differential. Referential biosignals are those that measure signals from an electrode location with a common reference point (like the earlobe). Differential biosignals are those that are localized to a certain area and the measured signal is the difference in voltage generated at that area. EEG is a referential signal because the signal is measured between an electrode location on the scalp and an electrically inert part of the head like earlobes, bridge of the nose etc. EMG and ECG are differential signals because two electrodes are used to measure the signal of a particular muscle on the body or heart.
+
+The labels for the channels can be found below the pin on the boards. Here we call BIAS and SRB the reference channels as they provide reference to the data channels. The data channels are N1P-N8P. The data streams come from the data channels. Each channel come with a top and bottom pin ![Cyton Channels Layout](../../assets/GettingStartedImages/Cyton_channels_layouts.jpg)
+
+Here are the reference channels needed for EEG, EMG, and ECG, respectively.
+
+- EEG: two reference channels - one SRB, and one BIAS
+- ECG and EMG: one reference channel - BIAS
+
+The BIAS and SRB are functions of the ADS1299 and this functionality provides the flexibility to measure differential and referential signals at the same time. SRB stands for Stimulus, Reference and Bias and acts as a common point for referential signals like EEG to compare against. SRB has two different pins on the ADS1299 - SRB1 and SRB2.
+
+SRB1 acts as a common reference for all the Positive inputs (meaning that it connects all the Negative inputs internally to the SRB1 pin) and SRB2 acts as a common reference for all Negative inputs (meaning that it connects all the Positive inputs internally to the SRB2 pin). To measure EEG with the Cyton and Cyton+Daisy, we use SRB2 as the common reference because it has the flexibility to be used individually for each channel instead of SRB1 which does not provide individual control. Therefore, the EEG measurements will look like (SRB2 - Negative Input) which is why the EEG signals might look inverted.
+
+BIAS on the other hand is used for noise-canceling due to connecting all Positive inputs to a common reference point. When doing this, a phenomenon called "Common Mode Noise" leaks into the board because multiple inputs are connected to the same point. Therefore, a BIAS connection to the body helps the ADS1299 account for this and a common mode voltage is subtracted from all measurements. It also helps in filtering out 50/60 Hz mains noise which is why we use it in all our referential and differential biosensing setups.
+
+For more information on SRB2, refer to Section 9.3.1.1 - Input Multiplexer and for more information on BIAS, refer to Section 9.3.2.4.5 - BIAS Drive of the [ADS1299 Datasheet](https://www.ti.com/lit/ds/symlink/ads1299.pdf?ts=1751268776160&ref_url=https%253A%252F%252Fwww.ti.com%252Fproduct%252FADS1299%253FkeyMatch%253DADS1299%2526tisearch%253Duniversal_search%2526usecase%253DGPN)
+
+## ExG Measurement with Cyton+Daisy boards
+
+The Cyton and the Daisy boards both use the ADS1299 which makes this setup very simple and flexible. You just need to make sure that the settings in the OpenBCI GUI are correct so that the appropriate channels are configured properly. You can also setup just the Cyton to measure EEG, EMG and ECG. For simplicity, this section will use both the Cyton and the Daisy boards.
 
 Here's a list of material you will need for this tutorial:
 ![Material Needed for ExG](../../assets/GettingStartedImages/ExG_material_needed.jpg)
@@ -34,100 +57,126 @@ Here's a list of material you will need for this tutorial:
     , [Ultracortex Mark IV](../../AddOns/Headwear/01-Ultracortex-Mark-IV.md)
     , [Ultracortex Mark III](../../Deprecated/02-Ultracortex-Mark-III-Nova-Revised.md)
     , [Electrode Cap](../../AddOns/Headwear/04-Electrode_Cap_Tutorial.md); we will be using
-       the [Headband kit](../../AddOns/Headwear/03-Headband_Tutorial.md) in this tutorial.
-2.  EMG/ECG hardware including [Skintact sticky electrodes](https://shop.openbci.com/collections/frontpage/products/skintact-f301-pediatric-foam-solid-gel-electrodes-30-pack?variant=29467659395) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+    the [Headband kit](../../AddOns/Headwear/03-Headband_Tutorial.md) in this tutorial.
+2.  EMG/ECG hardware including [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
     and [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
-3.  OpenBCI [Cyton Board + Daisy Board](https://shop.openbci.com/collections/frontpage/products/cyton-daisy-biosensing-boards-16-channel?variant=38959256526)
-    and the Cyton bluetooth USB dongle
-4.  Computer with [OpenBCI GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
+3.  OpenBCI [Cyton](https://shop.openbci.com/products/cyton-biosensing-board-8-channel?_pos=1&_sid=77582f260&_ss=r), [Cyton + Daisy](https://shop.openbci.com/collections/frontpage/products/cyton-daisy-biosensing-boards-16-channel?variant=38959256526)
+4.  [Y-Jumper Cable](https://shop.openbci.com/products/y-splitter-cable). This is required only when using a Daisy board with the Cyton and is usually included when you buy a Cyton+Daisy Kit.
+5.  [Cyton Bluetooth Dongle](https://shop.openbci.com/products/dongle)
+6.  Computer with [OpenBCI GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
 
-## Channel requirements
+In this tutorial, we will use the Cyton to measure EEG, and the Daisy to measure EMG and ECG. First, attach the Daisy to the Cyton board if they are not already attached. Be sure to attach them correctly as shown below
 
-EEG, EMG, and ECG have different channel requirements. The labels for the channels can be found below the pin on the boards.
-Here we call BIAS, AGND, and SRB the reference channels as they provide reference to the data channels. The data channels are
-N1P-N8P. The data streams come from the data channels. Each channel come with a top and bottom pin
-![Cyton Channels Layout](../../assets/GettingStartedImages/Cyton_channels_layouts.jpg)
+<div style={{textAlign: 'center'}}>
+    <img src={CytonDaisyAttached} width="300"/>
+</div>
 
-Here are the reference channels needed for EEG, EMG, and ECG, respectively.
+### Setting up 3-channel EEG
 
--   EEG: two reference channels - one SRB, and one BIAS
--   EMG: one reference channel - AGND
--   ECG: one reference channel - BIAS
+In this section, we will show you how to connect the EEG electrodes to the Cyton to measure EEG. You can later increase the number of EEG channels based on your needs as long as there are enough input headers (N1P-N8P) on the board.
 
-, where SRB serves as a reference for the EEG channels. AGND is the common ground in measuring the
-voltage activity. BIAS is used for noise-canceling; it combines the common noise on all channels and is subtracted from
- the data channels.
+As shown in the below image, connect the EEG electrodes to Channels 1, 2 and 3 of the Cyton by connecting them to the bottom row of the N1P, N2P and N3P pins. Then, connect an earclip electrode to the **bottom BIAS pin** and a Y-jumper to the **bottom SRB pin**.
 
-## Hardware setup
+<div style={{textAlign: 'center'}}>
+    <img src={ExG3ChannelEEG} width="300"/>
+</div>
 
-We are going to use the pins on Cyton to connect the EEG, and use Daisy to connect
-to EMG and ECG.
+### Setting up EMG and ECG
 
-First, [attach Daisy to Cyton](https://shop.openbci.com/collections/frontpage/products/cyton-daisy-biosensing-boards-16-channel?variant=38959256526)
-if they are not already attached.
+For EMG and ECG, we set this up on the Daisy board. Since EMG and ECG are differential signals, both the top and bottom input header pins are required. For this tutorial, we will use 1 channel for EMG and another one for ECG.
 
-### Setting up 3-lead ECG and forearm EMG
+For **ECG**, connect two cables to **N1P** top and bottom pin and connect the other end of the Y-Jumper cable to bottom pin of **SRB**. Attach the electrodes to your chest, the recommended layout is described in the [ECG tutorial](03-ECG-Setup.md). For note on ECG signal quality, you can refer to the section _Improving Signal Quality_ in the [ECG tutorial](03-ECG-Setup.md).
 
-We take six [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958) and 6
-[Skintact sticky electrodes](https://shop.openbci.com/collections/frontpage/products/skintact-f301-pediatric-foam-solid-gel-electrodes-30-pack?variant=29467659395). Attach the 
-sticky electrodes to the cables. Use three sticky electrodes for ECG and the other three is for EMG.
+For **EMG**, connect two cables to **N2P** top and bottom pin. Attach the electrodes to your arm, the recommended layout is described in the [EMG tutorial](02-EMG-Setup.md).
 
-For **ECG**, connect two cables to **N1P** top and bottom pin, connect the remaining one to bottom pin of **BIAS**.
-Attach the electrodes to your chest, the recommended layout is described in the [ECG tutorial](03-ECG-Setup.md).
-For note on ECG signal quality, you can refer to the section _Improving Signal Quality_ in the [ECG tutorial](03-ECG-Setup.md).
+:::note
+Please refer to the [ECG tutorial](03-ECG-Setup.md) for alternative 5-lead ECG setup.
+:::
 
-For **EMG**, connect two cables to **N8P** top and bottom pin, and the remaining one to **AGND**.
-Attach the electrodes to your arm, the recommended layout is described in the [EMG tutorial](02-EMG-Setup.md).
+The complete setup should look like this
 
-![EMG and ECG on Daisy](../../assets/GettingStartedImages/ExG_daisy_EMG_ECG.jpg)
+<div style={{textAlign: 'center'}}>
+    <img src={ExGCompleteSetup} width="300"/>
+</div>
 
-* * *
+### Visualize the data in OpenBCI GUI
 
-**Note**
+If you don't have the GUI installed, please refer to [this guide](../../../Software/OpenBCISoftware/GUIDocs) to learn about how to set up the OpenBCI GUI for your operating system. Connect the battery to the Cyton or Cyton+Daisy and power on the board and connect the USB dongle to your computer (make sure the dongle switch is set to GPIO_6).
 
-Please refer to the [ECG tutorial](03-ECG-Setup.md) for alternative 5-lead ECG setup.
+Next, open the [OpenBCI GUI](../../../Software/OpenBCISoftware/GUIDocs) and click the following:
 
-* * *
+1. Select CYTON (live)
+2. Serial (from Dongle)
+3. 16 CHANNELS
+4. Click AUTO-CONNECT and the board should be connected to the GUI.
 
-### Setting up 3-channel EEG
+If you are using just the Cyton, select the 8 Channel option. Since we are using both the Cyton and the Daisy for this tutorial, we select 16 Channel Mode. We also do not need all 16 Channels. Therefore, before starting a data stream, turn off the channels that are not being used by clicking on the Channel number and hide them from the Time Series Widget as shown below.
 
-Here we will show how to connect to a 3-channel EEG with EMG and ECG on the same board at the same time. 
-You can later increase the number of EEG channels based on your needs as long as there enough signal (analog)
-channels (the data channels NxP) on your board.
+![How to Turn Off and Hide Channels for ExG](../../assets/GettingStartedImages/ExGSetupTurnOffChannels.gif)
 
-We will connect the EEG to Cyton, as shown in the following image. The two ear clips go in **SRB** and **BIAS** bottom pins. The
-three electrode cables connect to the bottom pins of **N1P, N2P, and N3P**.
+Also, before starting a data stream, remember that you need to select SRB2 for those channels that are EEG and deselect SRB2 for those channels that are EMG or ECG as shown below. For channels that are turned off, this does not matter as they will not be collecting data. But, if you change the channel configurations you must also select and deselect SRB2 accordingly. If you do not, then the data will not look right because the reference is wrong. After you are done changing the HW Settings, send these settings to the board by pressing "Send".
 
-![EEG on Cyton](../../assets/GettingStartedImages/ExG_cyton_eeg.jpg)
+![HW Settings Required for ExG](../../assets/GettingStartedImages/ExGSetupHWSettings.png)
 
-The image above shows using a lithium battery. It is equivalent to use a battery pack powered by
-four AA batteries.
+Now click "Start Stream" and you should see EEG, EMG and ECG signals on the channels that have been configured so as shown below. In the example, you will first see an EMG activation then followed by Alpha waves in EEG channels. The ECG is present in Channel 9.
 
-The complete setup should look like this
-![ExG Daisy Attached to Cyton](../../assets/GettingStartedImages/ExG_attach.png)
+![ExG Stream from Cyton+Daisy](../../assets/GettingStartedImages/ExGCytonStream.gif)
 
-## Visualizing the data in OpenBCI GUI
+## ExG Measurement with Ganglion boards
 
-If you don't have the GUI installed, please refer to [this guide](../../../Software/OpenBCISoftware/GUIDocs) to learn
-about how to set up the OpenBCI GUI for your operating system.
+The Ganglion board uses the MCP3912 ADC chip and does not have the flexibility that the ADS1299 chip has to change configurations through software. But, you can still change the Ganglion board input pins to act as referential or differential inputs based on hardware select switches present on the board. For more information on how to use the select switches, refer to this [guide](https://docs.openbci.com/Ganglion/GanglionSpecs/#inverting-input-select-switches).
 
-Attach battery, power on the board in Bluetooth mode by flipping the switch towards the top of the board (where the
-pins are). Connect the USB dongle to your computer. Flip the switch on the dongle, so it's at GPIO6 (closer to the USB port).
+The Ganglion board is a 4 channel board and so, for this tutorial, we will measure 2 channels of EEG, 1 channel of ECG and 1 channel of EMG at the same time. For this tutorial, you will need the following materials.
 
-Open the [OpenBCI GUI](../../../Software/OpenBCISoftware/GUIDocs), select CYTON (live) -&gt;
-Serial (from Dongle) -&gt; 16 CHANNELS. Click AUTO-CONNECT. Note that we are not using all 16 channels, we are going to turn
-off the channels that we don't use in the GUI.
+1.  EEG hardware, can be one of the following Ultracortex
+    [Headband kit](../../AddOns/Headwear/03-Headband_Tutorial.md)
+    , [Ultracortex Mark IV](../../AddOns/Headwear/01-Ultracortex-Mark-IV.md)
+    , [Ultracortex Mark III](../../Deprecated/02-Ultracortex-Mark-III-Nova-Revised.md)
+    , [Electrode Cap](../../AddOns/Headwear/04-Electrode_Cap_Tutorial.md); we will be using
+    the [Headband kit](../../AddOns/Headwear/03-Headband_Tutorial.md) in this tutorial.
+2.  EMG/ECG hardware including [Solid Gel Electrodes](https://shop.openbci.com/products/kendall-emg-ecg-foam-solid-gel-electrodes-50-pack) or [IDUN Dryode](https://shop.openbci.com/collections/frontpage/products/idun-dryode-kit)
+    and [EMG/ECG Snap Electrode Cables](https://shop.openbci.com/collections/frontpage/products/emg-ecg-snap-electrode-cables?variant=32372786958)
+3.  OpenBCI [Ganglion board](https://shop.openbci.com/products/ganglion-board?_pos=2&_sid=5c75c7cc7&_ss=r).
+4.  [Ganglion Bluetooth Dongle](https://shop.openbci.com/products/ganglion-dongle) (if using an older version of MacOS).
+5.  Computer with [OpenBCI GUI](../../Software/OpenBCISoftware/01-OpenBCI_GUI.md)
+
+### Setting up EEG, ECG and EMG
+
+For this tutorial, we will use Channels 1 and 2 as EEG, Channel 3 as ECG and Channel 4 as EMG. So, push the input select switches for Channels 1 and 2 to the DOWN position and push the input select switches for Channels 3 and 4 to the UP position. If you are having trouble pushing the switches, use a pair of tweezers to help you. After configuring the channels, the switches should be in the positions as shown below.
+
+<div style={{textAlign: 'center'}}>
+    <img src={ExGSetupGanglionSwitches} width="300"/>
+</div>
+
+The Ganglion board also has a REF and D_G pin which act exactly as the SRB2 and BIAS pins in the Cyton and Cyton+Daisy. The REF pin acts as a common reference when measuring EEG and the D_G pin acts as the BIAS pin for cancelling common-mode noise and 50/60 Hz noise. Although there is a top and bottom pin for REF and D_G, these are the same pins are can be used for any setup. For ease of use, we will use the top pins of REF and D_G.
 
-![EEG on Cyton](../../assets/GettingStartedImages/ExG_GUI_0.png)
+For **EEG**, connect the top pins of +1- and +2- headers to the EEG electrodes and the top pins of the REF and D_G pins to the earclips. For **ECG** and **EMG**, connect the top and bottom pins of the +3- and +4- headers to the Snap electrode cables and connect them to [ECG electrode locations](../../GettingStarted/Biosensing-Setups/ECGSetup/#connect-the-electrodes-to-your-body) and [EMG electrode locations](../../GettingStarted/Biosensing-Setups/EMGSetup/#obtain-emg-data-with-openbci-ganglion-board). The final pin connections should be as shown below.
 
-Turn off the channels that we are not using. EEG is on channels 1, 2, 3. EMG is on channel 8.
-ECG is on channel 16.
-![EEG on Cyton](../../assets/GettingStartedImages/ExG_GUI_1.png)
+| Front View                                                            | Top View                                                          |
+| --------------------------------------------------------------------- | ----------------------------------------------------------------- |
+| <img src={ExGSetupGanglionFrontView} alt="Ganglion Pins Front View"/> | <img src={ExGSetupGanglionTopView} alt="Ganglion Pins Top View"/> |
+
+:::note
+When using EEG with another differential signal, the earlobe location can be used as a BIAS for a differential signal. But, if you are facing signal quality issues with the differential signal, you can connect a sticky electrode at a bony part near the differential signal to the other D_G pin.
+:::
+
+### Visualize the data in the OpenBCI GUI
+
+If you don't have the GUI installed, please refer to [this guide](../../../Software/OpenBCISoftware/GUIDocs) to learn about how to set up the OpenBCI GUI for your operating system. Connect the battery to the Ganglion board, power on the board and connect the Ganglion USB dongle to your computer.
+
+Next, open the [OpenBCI GUI](../../../Software/OpenBCISoftware/GUIDocs) and click the following:
+
+1. Select Ganglion (live)
+2. Bluetooth (Native)
+3. Select your Ganglion from the BLE Devices list
+4. Click START SESSION and the board should be connected to the GUI
+
+![Connect to Ganglion from GUI](../../assets/GettingStartedImages/ExGSetupConnectToGanglion.png)
+
+:::note
+You do not need to change any hardware settings through software for the Ganglion and you are using all 4 channels which means you do not need to turn off or hide any channel. Make sure that the input select switches are in the right position because an incorrect position will cause data issues and you will not see biopotential measurements in the GUI. Also, for some older versions of Mac, you will need to use the Ganglion Dongle to connect to the Ganglion Board. If you require the dongle, just use the BLED112 Dongle option instead.
+:::
 
-Go to Hardware Settings (at the right of 'Channels'), turn off SRB for channels 9 and 16. These are the EMG and 
-ECG channels.
-![EEG on Cyton](../../assets/GettingStartedImages/ExG_GUI_2.png)
+Now click Start Session, and then Start Data Stream. You should see EEG, EMG and ECG signals on the channels that have been configured so as shown below. You can see the ECG signal in Channel 3, the EMG activations in Channel 4 and Alpha waves in Channel 1 and 2.
 
-If everything connects correctly, you should see the 3-channel EEG, ECG, and EMG in the GUI. Check
-the following GIF for some signature signal in these physiological data streams.
-![ExG Demo Video](../../assets/GettingStartedImages/ExG_tutorial.gif)
+![ExG Stream from Ganglion](../../assets/GettingStartedImages/ExGSetupGanglionVideo.gif)
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