From 5cdfed0e09449fa40a3de860de3576e294b303a1 Mon Sep 17 00:00:00 2001 From: Richard Waltman Date: Fri, 1 Sep 2023 10:18:50 -0500 Subject: [PATCH 1/4] Update Cyton Aux Channel header information in GUI doc --- .../OpenBCISoftware/01-OpenBCI_GUI.md | 74 ++++++++++--------- 1 file changed, 38 insertions(+), 36 deletions(-) diff --git a/website/docs/Software/OpenBCISoftware/01-OpenBCI_GUI.md b/website/docs/Software/OpenBCISoftware/01-OpenBCI_GUI.md index 7b79a67e5..4d8c40004 100644 --- a/website/docs/Software/OpenBCISoftware/01-OpenBCI_GUI.md +++ b/website/docs/Software/OpenBCISoftware/01-OpenBCI_GUI.md @@ -368,13 +368,13 @@ Here is a table of the column headers and descriptions for the Cyton. | 10 | Accel Channel 0 | Accelerometer channel 0 (X) | | 11 | Accel Channel 1 | Accelerometer channel 1 (Y) | | 12 | Accel Channel 2 | Accelerometer channel 2 (Z) | -| 13 | Other | See below | -| 14 | Other | See below | -| 15 | Other | See below | -| 16 | Other | See below | -| 17 | Other | See below | -| 18 | Other | See below | -| 19 | Other | See below | +| 13 | Not Used | See below | +| 14 | Digital Channel 0 (D11) | See below | +| 15 | Digital Channel 1 (D12) | See below | +| 16 | Digital Channel 2 (D13) | See below | +| 17 | Digital Channel 3 (D17) | See below | +| 18 | Not Used | See below | +| 19 | Digital Channel 4 (D18) | See below | | 20 | Analog Channel 0 | Analog channel 0 | | 21 | Analog Channel 1 | Analog channel 1 | | 22 | Analog Channel 2 | Analog channel 2 | @@ -395,35 +395,37 @@ Here is a table of the column headers and descriptions for the **Cyton + Daisy** | 7 | EXG Channel 5 | EEG/EMG/ECG channel connected to N6P pins on Cyton | | 8 | EXG Channel 6 | EEG/EMG/ECG channel connected to N7P pins on Cyton | | 9 | EXG Channel 7 | EEG/EMG/ECG channel connected to N8P pins on Cyton | -| 2 | EXG Channel 8 | EEG/EMG/ECG channel connected to N1P pins on Daisy | -| 3 | EXG Channel 9 | EEG/EMG/ECG channel connected to N2P pins on Daisy | -| 4 | EXG Channel 10 | EEG/EMG/ECG channel connected to N3P pins on Daisy | -| 5 | EXG Channel 11 | EEG/EMG/ECG channel connected to N4P pins on Daisy | -| 6 | EXG Channel 12 | EEG/EMG/ECG channel connected to N5P pins on Daisy | -| 7 | EXG Channel 13 | EEG/EMG/ECG channel connected to N6P pins on Daisy | -| 8 | EXG Channel 14 | EEG/EMG/ECG channel connected to N7P pins on Daisy | -| 9 | EXG Channel 15 | EEG/EMG/ECG channel connected to N8P pins on Daisy | -| 10 | Accel Channel 0 | Accelerometer channel 0 (X) | -| 11 | Accel Channel 1 | Accelerometer channel 1 (Y) | -| 12 | Accel Channel 2 | Accelerometer channel 2 (Z) | -| 13 | Other | See below | -| 14 | Other | See below | -| 15 | Other | See below | -| 16 | Other | See below | -| 17 | Other | See below | -| 18 | Other | See below | -| 19 | Other | See below | -| 20 | Analog Channel 0 | Analog channel 0 | -| 21 | Analog Channel 1 | Analog channel 1 | -| 22 | Analog Channel 2 | Analog channel 2 | -| 23 | Timestamp | Unix timestamp | -| 24 | Marker Channel | Channel for adding manual markers to data | -| 25 | Timestamp (Formatted) | Year-Month-Day Hour:Minute:Second (Not in Brainflow csv) | - -:::info Cyton Other Channels -When recording using Cyton, the GUI will output a data file which contains 7 channels with the header "Other". These channels are user defined based on the [board mode](../../Cyton/04-OpenBCI_Cyton_SDK.md/#board-mode). Refer to the [aux data footer section](../../Cyton/03-Cyton_Data_Format.md/#firmware-version-200-fall-2016-to-now-1) of the Cyton data format documentation for further information. - -In digital read mode, the 5th "Other" channel is connected to the D17 pin by default. This pin can be triggered by pressing the "PROG" button. This is useful for adding manual timestamps to your data. +| 10 | EXG Channel 8 | EEG/EMG/ECG channel connected to N1P pins on Daisy | +| 11 | EXG Channel 9 | EEG/EMG/ECG channel connected to N2P pins on Daisy | +| 12 | EXG Channel 10 | EEG/EMG/ECG channel connected to N3P pins on Daisy | +| 13 | EXG Channel 11 | EEG/EMG/ECG channel connected to N4P pins on Daisy | +| 14 | EXG Channel 12 | EEG/EMG/ECG channel connected to N5P pins on Daisy | +| 15 | EXG Channel 13 | EEG/EMG/ECG channel connected to N6P pins on Daisy | +| 16 | EXG Channel 14 | EEG/EMG/ECG channel connected to N7P pins on Daisy | +| 17 | EXG Channel 15 | EEG/EMG/ECG channel connected to N8P pins on Daisy | +| 18 | Accel Channel 0 | Accelerometer channel 0 (X) | +| 19 | Accel Channel 1 | Accelerometer channel 1 (Y) | +| 20 | Accel Channel 2 | Accelerometer channel 2 (Z) | +| 21 | Not Used | See below | +| 22 | Digital Channel 0 (D11) | See below | +| 23 | Digital Channel 1 (D12) | See below | +| 24 | Digital Channel 2 (D13) | See below | +| 25 | Digital Channel 3 (D17) | See below | +| 26 | Not Used | See below | +| 27 | Digital Channel 4 (D18) | See below | +| 28 | Analog Channel 0 | Analog channel 0 | +| 29 | Analog Channel 1 | Analog channel 1 | +| 30 | Analog Channel 2 | Analog channel 2 | +| 31 | Timestamp | Unix timestamp | +| 32 | Marker Channel | Channel for adding manual markers to data | +| 33 | Timestamp (Formatted) | Year-Month-Day Hour:Minute:Second (Not in Brainflow csv) | + +:::info Cyton Aux Channels +In Digital Read mode, the 4th "Other" channel is connected to the D17 pin by default. This pin can be triggered by pressing the "PROG" button. This is useful for adding manual timestamps to your data. + +You can also attach your own button to another pin, as shown in [the Puppies and Kittens Experiment](../../Examples/Video_Experiment.md/#step-2-breadboard-setup). + +Depending on the [Cyton board mode](../../Cyton/04-OpenBCI_Cyton_SDK.md/#board-mode), the other channels will not display meaningful data. There are three modes currently used by the OpenBCI GUI: default (with Accelerometer), Analog Mode, and Digital Mode. These can be toggled within the appropriate widget during live recording sessions, and data will be displayed when using Playback Mode in the corresponding widgets. We recommend changing your board more _before_ starting your recordings. ::: ### Ganglion From 9102a9cad7a5dfce9960c4cb06eafaac723269a4 Mon Sep 17 00:00:00 2001 From: Richard Waltman Date: Fri, 1 Sep 2023 10:32:15 -0500 Subject: [PATCH 2/4] Fix broken relative links related to MyoWare v2 update --- .../docs/Deprecated/14-MyoWare_Integration.md | 6 +- .../15-MyoWare_Integration_Ganglion.md | 4 +- .../Myoware/MyoWare_Cyton_Tutorial.md | 2 +- website/docs/ThirdParty/ThirdPartyLanding.md | 117 +++++++++--------- 4 files changed, 67 insertions(+), 62 deletions(-) diff --git a/website/docs/Deprecated/14-MyoWare_Integration.md b/website/docs/Deprecated/14-MyoWare_Integration.md index b96046ddb..b36c56120 100644 --- a/website/docs/Deprecated/14-MyoWare_Integration.md +++ b/website/docs/Deprecated/14-MyoWare_Integration.md @@ -2,13 +2,17 @@ id: MyoCyton title: MyoWare OpenBCI Integration (Cyton Board) --- +:::note **THIS HARDWARE VERSION HAS BEEN DEPRECATED AND IS NO LONGER IN PRODUCTION.** MyoWare v1.0 is obsolete and has been pulled from production. The updated version is Myoware v2.0. This doc covers the integration of MyoWare v1.0 with the Cyton board. +You can purchase Myoware v2.0 from the [OpenBCI Shop](https://shop.openbci.com/) and [connect to Cyton using the updated tutorial](../ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md). +::: + ### Overview -This tutorial will show you how to read EMG data (electrical signals from muscles) using a MyoWare board, an OpenBCI Cyton board, and the OpenBCI GUI. If you have a Ganglion board instead, check out our [Ganglion board MyoWare integration tutorial!](ThirdParty/Myoware/15-MyoWare_Integration_Ganglion.md) +This tutorial will show you how to read EMG data (electrical signals from muscles) using a MyoWare board, an OpenBCI Cyton board, and the OpenBCI GUI. If you have a Ganglion board instead, check out our [Ganglion board MyoWare integration tutorial!](Deprecated/15-MyoWare_Integration_Ganglion.md) ![MyoWare Board](../assets/ThirdPartyImages/myoware.jpg) diff --git a/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md b/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md index 7ffbdae1e..0346ea21b 100644 --- a/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md +++ b/website/docs/Deprecated/15-MyoWare_Integration_Ganglion.md @@ -2,14 +2,16 @@ id: MyoGanglion title: MyoWare OpenBCI Integration (Ganglion Board) --- +:::note **THIS HARDWARE VERSION HAS BEEN DEPRECATED AND IS NO LONGER IN PRODUCTION.** +::: MyoWare v1.0 is obsolete and has been pulled from production. The updated version is Myoware v2.0. This doc covers the integration of MyoWare v1.0 with the Cyton board. ### Overview -This tutorial will show you how to read EMG data (electrical signals from muscles) using a MyoWare board, an OpenBCI Ganglion board, and the OpenBCI GUI. If you have a Cyton board instead, check out our [Cyton board MyoWare integration tutorial!](ThirdParty/Myoware/14-MyoWare_Integration.md) +This tutorial will show you how to read EMG data (electrical signals from muscles) using a MyoWare board, an OpenBCI Ganglion board, and the OpenBCI GUI. If you have a Cyton board instead, check out our [Cyton board MyoWare integration tutorial!](Deprecated/14-MyoWare_Integration.md) ![MyoWare + Ganglion supplies](../assets/ThirdPartyImages/flatlay_myoware_ganglion.JPG) diff --git a/website/docs/ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md b/website/docs/ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md index b0e1e1082..5f44dfdd6 100644 --- a/website/docs/ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md +++ b/website/docs/ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md @@ -5,7 +5,7 @@ title: MyoWare OpenBCI Integration (Cyton Board) :::caution -The Myoware 2.0 board cannot be used with the Ganglion board. If you have purchased a Myoware 2.0 board with the intention of using it with the Ganglion board, please contact Customer support at contact@openbci.com +The Myoware 2.0 board cannot be used with the Ganglion board. If you have purchased a Myoware 2.0 board with the intention of using it with the Ganglion board, please contact Customer support at contact@openbci.com. ::: diff --git a/website/docs/ThirdParty/ThirdPartyLanding.md b/website/docs/ThirdParty/ThirdPartyLanding.md index ea320803d..ba443b17a 100644 --- a/website/docs/ThirdParty/ThirdPartyLanding.md +++ b/website/docs/ThirdParty/ThirdPartyLanding.md @@ -1,59 +1,58 @@ ---- -id: ThirdPartyLanding -title: Third-Party Hardware ---- -The directory to the left contains documents to explain the integration between OpenBCI and compatible third-party hardware. This landing page summarizes the variety of sampling modalities! - -## EmotiBit - -![EmotiBit](../assets/ThirdPartyImages/Emotibit.png) - -Designed by our good friend Sean Montgomery and his team, [EmotiBit](https://emotibit.com) can stream 16+ signals from the body (EDA, 3-wavelength PPG, high-res body temperature, humidity and a 9-axis IMU). We think it's the perfect complement to add emotional, physiological and movement data to your EEG recordings! - -EmotiBit is a wearable sensor module for capturing high-quality emotional, physiological, and movement data. Easy-to-use and scientifically-validated sensing lets you enjoy wireless data streaming to any platform or direct data recording to the built-in SD card. Customize the Arduino-compatible hardware and fully open-source software to meet any project needs! - -**Tutorial Coming Soon!** - -## HEGduino - -The "HEG" in HEGduino stands for HemoEncephaloGraphy, a non-invasive biofeedback method. HEG detects regional changes in the brain’s energy consumption via changes in blood-oxygen. HEGduino enables you to see in real time how your brain blood-oxygen levels respond to your thoughts and actions, resulting in a simple and elegant biofeedback system. You can easily affect and eventually control regional blood flow in your head by focusing, breathing, and relaxing, and watching the response on your screen. With the biofeedback provided by HEGduino, you can exercise your brain and make it healthier with mindful practice. - -We're partnering with HEGduino to bring you low-cost at-home HEG technology. Brain blood-flow biofeedback meets open-source IoT technology! These kits are hand-assembled and tested by their team to run out-of-the box. No firmware tinkering or wire soldering needed! - -The open-source, extensively documented HEGduino Kit is now available at the [OpenBCI Shop](https://shop.openbci.com/products/hegduino-kit). - -## IDUN Dryode - -Introducing research-validated dry electrodes for sampling frontal cortex EEG and facial/body EMG, compatible with OpenBCI boards and standard snap cables! - -## MyoWare - -![myoware](../assets/ThirdPartyImages/myoware.jpg) - -The MyoWare muscle sensor can be integrated with both the OpenBCI Cyton and Ganglion. To find out how, check out these tutorials: - -- [Cyton + MyoWare](ThirdParty/Myoware/14-MyoWare_Integration.md) -- [Ganglion + MyoWare](ThirdParty/Myoware/15-MyoWare_Integration_Ganglion.md) - -## Pulse Sensor - -![pulse sensor](../assets/ThirdPartyImages/Pulse_sensor.jpg) - -The Pulse Sensor is one of the third-party add-ons offered in our store. - -It can be connected to the [Ganglion](https://shop.openbci.com/collections/frontpage/products/pre-order-ganglion-board), [Cyton](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel), or any Arduino board to easily obtain your heart rate using [photoplethysmogram (PPG)](https://en.wikipedia.org/wiki/Photoplethysmogram). - -## ThinkPulse Active Electrodes - -We are very excited to partner with Conscious Labs to offer this affordable, high-quality biosensing kit to our community. The ThinkPulse™ kit offers research-grade dry, active electrode EEG sensors at an unprecedented price point and comfort level. - -## Wifi Shield - -![wifi shield](../assets/ThirdPartyImages/wifi_shield.jpg) -The Wifi Shield is an add-on module that allows you to connect an OpenBCI Board to the GUI and send data over Wifi rather than Radio/BLE. -To learn more about it, see these documents: - -- [Wifi Shield](ThirdParty/WiFiShield/01-Wifi.md) -- [OpenBCI Wifi Server](ThirdParty/WiFiShield/03-OpenBCI_Wifi_Server.md) -- [OpenBCI Wifi SDK](ThirdParty/WiFiShield/08-OpenBCI_Wifi_SDK.md) -- [Wifi Programming Tutorial](ThirdParty/WiFiShield/12-Wifi_Programming_Tutorial.md) +--- +id: ThirdPartyLanding +title: Third-Party Hardware +--- +The directory to the left contains documents to explain the integration between OpenBCI and compatible third-party hardware. This landing page summarizes the variety of sampling modalities! + +## EmotiBit + +![EmotiBit](../assets/ThirdPartyImages/Emotibit.png) + +Designed by our good friend Sean Montgomery and his team, [EmotiBit](https://emotibit.com) can stream 16+ signals from the body (EDA, 3-wavelength PPG, high-res body temperature, humidity and a 9-axis IMU). We think it's the perfect complement to add emotional, physiological and movement data to your EEG recordings! + +EmotiBit is a wearable sensor module for capturing high-quality emotional, physiological, and movement data. Easy-to-use and scientifically-validated sensing lets you enjoy wireless data streaming to any platform or direct data recording to the built-in SD card. Customize the Arduino-compatible hardware and fully open-source software to meet any project needs! + +**Tutorial Coming Soon!** + +## HEGduino + +The "HEG" in HEGduino stands for HemoEncephaloGraphy, a non-invasive biofeedback method. HEG detects regional changes in the brain’s energy consumption via changes in blood-oxygen. HEGduino enables you to see in real time how your brain blood-oxygen levels respond to your thoughts and actions, resulting in a simple and elegant biofeedback system. You can easily affect and eventually control regional blood flow in your head by focusing, breathing, and relaxing, and watching the response on your screen. With the biofeedback provided by HEGduino, you can exercise your brain and make it healthier with mindful practice. + +We're partnering with HEGduino to bring you low-cost at-home HEG technology. Brain blood-flow biofeedback meets open-source IoT technology! These kits are hand-assembled and tested by their team to run out-of-the box. No firmware tinkering or wire soldering needed! + +The open-source, extensively documented HEGduino Kit is now available at the [OpenBCI Shop](https://shop.openbci.com/products/hegduino-kit). + +## IDUN Dryode + +Introducing research-validated dry electrodes for sampling frontal cortex EEG and facial/body EMG, compatible with OpenBCI boards and standard snap cables! + +## MyoWare + +![myoware](../assets/ThirdPartyImages/myoware.jpg) + +The MyoWare muscle sensor can be integrated with both the OpenBCI Cyton. To find out how, check out these tutorials: + +- [Cyton + MyoWare](ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md) + +## Pulse Sensor + +![pulse sensor](../assets/ThirdPartyImages/Pulse_sensor.jpg) + +The Pulse Sensor is one of the third-party add-ons offered in our store. + +It can be connected to the [Ganglion](https://shop.openbci.com/collections/frontpage/products/pre-order-ganglion-board), [Cyton](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel), or any Arduino board to easily obtain your heart rate using [photoplethysmogram (PPG)](https://en.wikipedia.org/wiki/Photoplethysmogram). + +## ThinkPulse Active Electrodes + +We are very excited to partner with Conscious Labs to offer this affordable, high-quality biosensing kit to our community. The ThinkPulse™ kit offers research-grade dry, active electrode EEG sensors at an unprecedented price point and comfort level. + +## Wifi Shield + +![wifi shield](../assets/ThirdPartyImages/wifi_shield.jpg) +The Wifi Shield is an add-on module that allows you to connect an OpenBCI Board to the GUI and send data over Wifi rather than Radio/BLE. +To learn more about it, see these documents: + +- [Wifi Shield](ThirdParty/WiFiShield/01-Wifi.md) +- [OpenBCI Wifi Server](ThirdParty/WiFiShield/03-OpenBCI_Wifi_Server.md) +- [OpenBCI Wifi SDK](ThirdParty/WiFiShield/08-OpenBCI_Wifi_SDK.md) +- [Wifi Programming Tutorial](ThirdParty/WiFiShield/12-Wifi_Programming_Tutorial.md) From eea4aeb4baa6ac561f87c4c7b00c2e4604302201 Mon Sep 17 00:00:00 2001 From: Richard Waltman Date: Fri, 1 Sep 2023 10:37:09 -0500 Subject: [PATCH 3/4] Update line endings in ThirdPartyLanding.md --- website/docs/ThirdParty/ThirdPartyLanding.md | 116 +++++++++---------- 1 file changed, 58 insertions(+), 58 deletions(-) diff --git a/website/docs/ThirdParty/ThirdPartyLanding.md b/website/docs/ThirdParty/ThirdPartyLanding.md index ba443b17a..7ac5b3728 100644 --- a/website/docs/ThirdParty/ThirdPartyLanding.md +++ b/website/docs/ThirdParty/ThirdPartyLanding.md @@ -1,58 +1,58 @@ ---- -id: ThirdPartyLanding -title: Third-Party Hardware ---- -The directory to the left contains documents to explain the integration between OpenBCI and compatible third-party hardware. This landing page summarizes the variety of sampling modalities! - -## EmotiBit - -![EmotiBit](../assets/ThirdPartyImages/Emotibit.png) - -Designed by our good friend Sean Montgomery and his team, [EmotiBit](https://emotibit.com) can stream 16+ signals from the body (EDA, 3-wavelength PPG, high-res body temperature, humidity and a 9-axis IMU). We think it's the perfect complement to add emotional, physiological and movement data to your EEG recordings! - -EmotiBit is a wearable sensor module for capturing high-quality emotional, physiological, and movement data. Easy-to-use and scientifically-validated sensing lets you enjoy wireless data streaming to any platform or direct data recording to the built-in SD card. Customize the Arduino-compatible hardware and fully open-source software to meet any project needs! - -**Tutorial Coming Soon!** - -## HEGduino - -The "HEG" in HEGduino stands for HemoEncephaloGraphy, a non-invasive biofeedback method. HEG detects regional changes in the brain’s energy consumption via changes in blood-oxygen. HEGduino enables you to see in real time how your brain blood-oxygen levels respond to your thoughts and actions, resulting in a simple and elegant biofeedback system. You can easily affect and eventually control regional blood flow in your head by focusing, breathing, and relaxing, and watching the response on your screen. With the biofeedback provided by HEGduino, you can exercise your brain and make it healthier with mindful practice. - -We're partnering with HEGduino to bring you low-cost at-home HEG technology. Brain blood-flow biofeedback meets open-source IoT technology! These kits are hand-assembled and tested by their team to run out-of-the box. No firmware tinkering or wire soldering needed! - -The open-source, extensively documented HEGduino Kit is now available at the [OpenBCI Shop](https://shop.openbci.com/products/hegduino-kit). - -## IDUN Dryode - -Introducing research-validated dry electrodes for sampling frontal cortex EEG and facial/body EMG, compatible with OpenBCI boards and standard snap cables! - -## MyoWare - -![myoware](../assets/ThirdPartyImages/myoware.jpg) - -The MyoWare muscle sensor can be integrated with both the OpenBCI Cyton. To find out how, check out these tutorials: - -- [Cyton + MyoWare](ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md) - -## Pulse Sensor - -![pulse sensor](../assets/ThirdPartyImages/Pulse_sensor.jpg) - -The Pulse Sensor is one of the third-party add-ons offered in our store. - -It can be connected to the [Ganglion](https://shop.openbci.com/collections/frontpage/products/pre-order-ganglion-board), [Cyton](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel), or any Arduino board to easily obtain your heart rate using [photoplethysmogram (PPG)](https://en.wikipedia.org/wiki/Photoplethysmogram). - -## ThinkPulse Active Electrodes - -We are very excited to partner with Conscious Labs to offer this affordable, high-quality biosensing kit to our community. The ThinkPulse™ kit offers research-grade dry, active electrode EEG sensors at an unprecedented price point and comfort level. - -## Wifi Shield - -![wifi shield](../assets/ThirdPartyImages/wifi_shield.jpg) -The Wifi Shield is an add-on module that allows you to connect an OpenBCI Board to the GUI and send data over Wifi rather than Radio/BLE. -To learn more about it, see these documents: - -- [Wifi Shield](ThirdParty/WiFiShield/01-Wifi.md) -- [OpenBCI Wifi Server](ThirdParty/WiFiShield/03-OpenBCI_Wifi_Server.md) -- [OpenBCI Wifi SDK](ThirdParty/WiFiShield/08-OpenBCI_Wifi_SDK.md) -- [Wifi Programming Tutorial](ThirdParty/WiFiShield/12-Wifi_Programming_Tutorial.md) +--- +id: ThirdPartyLanding +title: Third-Party Hardware +--- +The directory to the left contains documents to explain the integration between OpenBCI and compatible third-party hardware. This landing page summarizes the variety of sampling modalities! + +## EmotiBit + +![EmotiBit](../assets/ThirdPartyImages/Emotibit.png) + +Designed by our good friend Sean Montgomery and his team, [EmotiBit](https://emotibit.com) can stream 16+ signals from the body (EDA, 3-wavelength PPG, high-res body temperature, humidity and a 9-axis IMU). We think it's the perfect complement to add emotional, physiological and movement data to your EEG recordings! + +EmotiBit is a wearable sensor module for capturing high-quality emotional, physiological, and movement data. Easy-to-use and scientifically-validated sensing lets you enjoy wireless data streaming to any platform or direct data recording to the built-in SD card. Customize the Arduino-compatible hardware and fully open-source software to meet any project needs! + +**Tutorial Coming Soon!** + +## HEGduino + +The "HEG" in HEGduino stands for HemoEncephaloGraphy, a non-invasive biofeedback method. HEG detects regional changes in the brain’s energy consumption via changes in blood-oxygen. HEGduino enables you to see in real time how your brain blood-oxygen levels respond to your thoughts and actions, resulting in a simple and elegant biofeedback system. You can easily affect and eventually control regional blood flow in your head by focusing, breathing, and relaxing, and watching the response on your screen. With the biofeedback provided by HEGduino, you can exercise your brain and make it healthier with mindful practice. + +We're partnering with HEGduino to bring you low-cost at-home HEG technology. Brain blood-flow biofeedback meets open-source IoT technology! These kits are hand-assembled and tested by their team to run out-of-the box. No firmware tinkering or wire soldering needed! + +The open-source, extensively documented HEGduino Kit is now available at the [OpenBCI Shop](https://shop.openbci.com/products/hegduino-kit). + +## IDUN Dryode + +Introducing research-validated dry electrodes for sampling frontal cortex EEG and facial/body EMG, compatible with OpenBCI boards and standard snap cables! + +## MyoWare + +![myoware](../assets/ThirdPartyImages/myoware.jpg) + +The MyoWare muscle sensor can be integrated with both the OpenBCI Cyton. To find out how, check out these tutorials: + +- [Cyton + MyoWare](ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md) + +## Pulse Sensor + +![pulse sensor](../assets/ThirdPartyImages/Pulse_sensor.jpg) + +The Pulse Sensor is one of the third-party add-ons offered in our store. + +It can be connected to the [Ganglion](https://shop.openbci.com/collections/frontpage/products/pre-order-ganglion-board), [Cyton](https://shop.openbci.com/collections/frontpage/products/cyton-biosensing-board-8-channel), or any Arduino board to easily obtain your heart rate using [photoplethysmogram (PPG)](https://en.wikipedia.org/wiki/Photoplethysmogram). + +## ThinkPulse Active Electrodes + +We are very excited to partner with Conscious Labs to offer this affordable, high-quality biosensing kit to our community. The ThinkPulse™ kit offers research-grade dry, active electrode EEG sensors at an unprecedented price point and comfort level. + +## Wifi Shield + +![wifi shield](../assets/ThirdPartyImages/wifi_shield.jpg) +The Wifi Shield is an add-on module that allows you to connect an OpenBCI Board to the GUI and send data over Wifi rather than Radio/BLE. +To learn more about it, see these documents: + +- [Wifi Shield](ThirdParty/WiFiShield/01-Wifi.md) +- [OpenBCI Wifi Server](ThirdParty/WiFiShield/03-OpenBCI_Wifi_Server.md) +- [OpenBCI Wifi SDK](ThirdParty/WiFiShield/08-OpenBCI_Wifi_SDK.md) +- [Wifi Programming Tutorial](ThirdParty/WiFiShield/12-Wifi_Programming_Tutorial.md) From 136cd2d1865599bd7569e2b27a0cebefdaafcadd Mon Sep 17 00:00:00 2001 From: Richard Waltman Date: Fri, 1 Sep 2023 10:38:53 -0500 Subject: [PATCH 4/4] Update myoware + cyton text in thirdpartylanding.md --- website/docs/ThirdParty/ThirdPartyLanding.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/ThirdParty/ThirdPartyLanding.md b/website/docs/ThirdParty/ThirdPartyLanding.md index 7ac5b3728..4bd99c70f 100644 --- a/website/docs/ThirdParty/ThirdPartyLanding.md +++ b/website/docs/ThirdParty/ThirdPartyLanding.md @@ -30,7 +30,7 @@ Introducing research-validated dry electrodes for sampling frontal cortex EEG an ![myoware](../assets/ThirdPartyImages/myoware.jpg) -The MyoWare muscle sensor can be integrated with both the OpenBCI Cyton. To find out how, check out these tutorials: +The MyoWare muscle sensor v2 can be integrated with the [OpenBCI Cyton](https://shop.openbci.com/products/cyton-biosensing-board-8-channel). To find out how, check out these tutorials: - [Cyton + MyoWare](ThirdParty/Myoware/MyoWare_Cyton_Tutorial.md)