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Innovate Human Computer Interface Solutions using a Single Product
Neuphony Synapse has comprehensive biopotential signal compatibility, covering ECG, EEG, EOG, and EMG, ensures a versatile solution for various physiological monitoring applications. It seamlessly pairs with any MCU featuring ADC, expanding compatibility across platforms like Arduino, ESP32, STM32, and more. Enjoy flexibility with an optional bypass of the bandpass filter allowing tailored signal output for diverse analysis.
Everything You Would Need; Synapse Got it All
Neuphony Synapse is ideal for researchers, creators, and enthusiasts seeking innovative methods to capture biopotential data.Â
Build Your Dream Neuroscience Project Yourself with Open Source EXG Synapse Kit. Buy the whole HCI/BCI kit for just INR 1999/-Â
Hardware
Visualisation Software
Open Source Github Repository
Step by Step Guide to Setup & Use EXG Synapse Kit
Neuphony Synapse is an easy to setup device which can be used to access ECG, EMG, EOG & EEG data. The following video shows how you can setup, program and test the results in real-time.
Setting up the Synapse for Each Biosignal
How to Setup Synapse?
EXG Synapse has configuration options in terms of gain and bandpass filter bandwidth. The user can modify these values depending on the use case. Here is an image showing the resistor pad R9(for gain) and capacitor pad C2(for filter bandwidth).
Programming the Arduino
Flashing Code on ESP32 To flash the required code on ESP32, you need to install Arduino IDE and setup for flashing to an ESP32. You can follow this guide if you don’t find your board listed in Arduino. Once your board is added to Arduino, you can go to this GitHub repository, here you will find all the necessary files for acquiring the data using EXG Synapse. Navigate to the EEG folder and then to Arduino, and download required .ino file. Now compile and upload the code on your board.
Expected Results and Graphs
How to Setup Synapse?
EXG Synapse has configuration options in terms of gain and bandpass filter bandwidth. The user can modify these values depending on the use case. Here is an image showing the resistor pad R9(for gain) and capacitor pad C2(for filter bandwidth). Please read the following Setup Guide carefully.
Programming the Arduino
Flashing Code on ESP32 To flash the required code on ESP32, you need to install Arduino IDE and setup for flashing to an ESP32. You can follow this guide if you don’t find your board listed in Arduino. Once your board is added to Arduino, you can go to this GitHub repository, here you will find all the necessary files for acquiring the data using EXG Synapse. Navigate to the EEG folder and then to Arduino, and download required .ino file. Now compile and upload the code on your board.
Expected Results and Graphs
How to Setup Synapse?
EXG Synapse has configuration options in terms of gain and bandpass filter bandwidth. The user can modify these values depending on the use case. Here is an image showing the resistor pad R9(for gain) and capacitor pad C2(for filter bandwidth). Please read the following Setup Guide carefully.
Programming the Arduino
Flashing Code on ESP32 To flash the required code on ESP32, you need to install Arduino IDE and setup for flashing to an ESP32. You can follow this guide if you don’t find your board listed in Arduino. Once your board is added to Arduino, you can go to this GitHub repository, here you will find all the necessary files for acquiring the data using EXG Synapse. Navigate to the EEG folder and then to Arduino, and download required .ino file. Now compile and upload the code on your board.
Expected Results and Graphs
How to Setup Synapse?
EXG Synapse has configuration options in terms of gain and bandpass filter bandwidth. The user can modify these values depending on the use case. Here is an image showing the resistor pad R9(for gain) and capacitor pad C2(for filter bandwidth). Please read the following Setup Guide carefully.
Programming the Arduino
Flashing Code on ESP32 To flash the required code on ESP32, you need to install Arduino IDE and setup for flashing to an ESP32. You can follow this guide if you don’t find your board listed in Arduino. Once your board is added to Arduino, you can go to this GitHub repository, here you will find all the necessary files for acquiring the data using EXG Synapse. Navigate to the EEG folder and then to Arduino, and download required .ino file. Now compile and upload the code on your board.
Expected Results and Graphs
Neuphony EXG Synapse in Action
Technical Specifications
| Input Voltage | 3.3V |
| Input Impedance | 20^9 Ω |
| Compatible Hardware | Any ADC input |
| Biopotentials | ECG EMG, EOG, or EEG (configurable bandpass) | By default configured for a bandwidth of 1.6Hz to 47Hz and Gain 50 |
| No. of channels | 1 |
| Electrodes | 3 |
| Dimensions | 30.0 x 33.0 mm |
| Open Source | Hardware |
Very Compact and space utilized EXG Synapse | Â |
What's Included in the Box
| PCB | 1 Unit |
| Medical EXG Sensors | 48 Units |
| Wet Wipes | 1 Unit (25 pcs) |
| Nuprep Gel (25gm) | 1 Unit |
| Snap Cable (40cm) | 3 Units |
| Head band | 1 Unit |
| Jumper Cable | FtoF & MtoF (10 pcs each) |
| Straight Pin Header | 5 Units |
| Angeled Pin Header | 5 Units |
| Resistors (1MR, 1.5MR, 1.8MR, 2.1MR) | 4 Units each |
| Capacitors (3nF, 0.1uF, 0.2uF, 0.5uF) | 4 Units each |
ElectroCardiography (ECG)
Electrocardiography (ECG) unveils the intricate dance of the heart through the creation of an electrocardiogram (ECG or EKG). This visual representation illustrates the voltage fluctuations over time, capturing the heart’s electrical activity. By strategically placing electrodes on the skin’s surface, ECG records the nuanced electrical changes accompanying the cardiac muscle’s depolarization and subsequent repolarization during each heartbeat.
The ECG wave recorded with Neuphony EXG Synapse can be found in the following figure.
ElectroCardiography (ECG)
Electrocardiography (ECG) unveils the intricate dance of the heart through the creation of an electrocardiogram (ECG or EKG). This visual representation illustrates the voltage fluctuations over time, capturing the heart’s electrical activity. By strategically placing electrodes on the skin’s surface, ECG records the nuanced electrical changes accompanying the cardiac muscle’s depolarization and subsequent repolarization during each heartbeat.
The ECG wave recorded with Neuphony EXG Synapse can be found in the following figure.
Electrooculography (EOG)
Electrooculography (EOG) emerges as a sophisticated method for gauging the corneo-retinal standing potential, a dynamic electrical charge bridging the front and back of the human eye. The consequential signal derived from this technique is aptly labeled EOG.
The EOG wave recorded with Neuphony EXG Synapse can be found in the following figure.
Electromyography (EMG)
Electromyography (EMG) stands as a sophisticated technique designed to assess and document the intricate electrical activity generated by skeletal muscles. This diagnostic marvel extends beyond, offering a profound examination of muscle health and the neural pathways governing them, specifically the motor neurons. EMG findings unravel potential issues related to nerve function, muscular well-being, or disruptions in the communication between nerves and muscles.
The ECG wave recorded with Neuphony EXG Synapse can be found in the following figure.
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