Wearable and wireless device for real-time monitoring of electrodermal activity (GSR) and cardiac activity (BVP) for real-world applications and real-life research scenarios.
Portable biosignal device for GSR and BVP monitoring
Ring is a mobile and reliable biosignal device for the monitoring of electrodermal (EDA / GSR) and cardiovascular activity (BVP). It has been designed for real-world research scenarios that require great comfort for the user as well as an agile set up and outstanding signal quality for the researcher. The device has an ultralight and comfortable design with two key biosensors for a basic estimation of emotions (GSR-electrodermal activity and BVP-cardiac activity) and a three-axis solidary accelerometer (ACC) for an estimation of the noise that can be generated due to the movement of the hand. Its stable mechanical design provides outstanding robustness and signal quality, even with movement or during long recording periods.
Owing to its exceptional usability, reliability and the possibility of self-positioning by the end-user, an infinite range of possibilities to use it both in and outside of the laboratory with ecology are available.
Ring comes with the Bitbrain Software Kit for data acquisition and programming, which has a large compatibility with real-time I/O and third-party data processing (LSL, Matlab, Python, BCI2000, OpenVibe, etc). Also, by acquiring the Human Behaviour Research Lab, it can be performed a seamless synchronisation with other human monitoring technologies such as EEG, eye-trackers, among many others.
Mobile and wireless
10+ hours of continuous monitoring in streaming via Bluetooth and in SD storage.
Quick and easy set up by non-technical experts or the final user in less than 10 seconds.
Optimised electrode placement
Sensors located on the fingers’ first and second phalanges (optimal measurement points) to measure GSR and BVP.
Reliable GSR and BVP monitoring
The technology mitigates artefacts produced by the finger movements thanks to the three-axis solidary accelerometer.
Easy to transport and store without maintenance or expenses on consumables.
High software compatibility
Intuitive software suite for users or SDK for programmers, and great compatibility with Matlab, Python, etc.
Wireless, mobile, compact and ultralight (60gr). It is adaptable and adjustable which ensures comfort. Final user can set it up in less than 10 seconds. No maintenance and easy to transport.
Integrated sensors to reliably monitor skin conductance (electrodermal activity - EDA / galvanic skin response - GSR) and cardiovascular (blood volume pressure - BVP) activity. The sensors are located on the fingers’ first and second phalanges (optimal measurement points). This biosignal device also mitigates artefacts produced by finger movements thanks to the three-axis solidary accelerometer (ACC).
How to use
Learn how to make the set up of the Ring device (GSR & BVP).
Quick installation by the end user in less than 10 seconds, allowing a fast, simple and reliable physiological data collection. It comes with an intuitive software to collect data with the help of visual guides, thus ensuring quality assembly and monitoring.
1. Preparation: Unfasten the band at the back of the device. Place the index and middle fingers on the device, ensuring that the fingers completely cover the sensors. Fasten the band. The device must be comfortably fastened to the user’s fingers.
2. Set up: Check the colour of the sensors. It indicates the quality of the signal. Once all the sensors are green, we are ready to proceed with the test.
3. Test: Move the hand and check that the signal is not affected. Walk around and check that the signal is not affected.
4. Recording: Now you are ready to record. Export your data afterwards.
5. Clean and storage: Clean the sensors with wet wipes and store Ring in its own case.
|Biosignal channels||1 x EDA (µS), 1 x BVP (bpm), 1 x ACC (3-axis)|
|Sampling rate||32 SPS (samples per second)|
|Bandwidth||DC - 16Hz (2º order LPF)|
|Integrated sensors||Integrated Accelerometer (3 axis)|
|Input range and noise||0.1 - 100 µS, (GSR) 0 - 250 bpm (BVP) ± 4G (Accelerometer)|
|Data backup||Yes (removable µSD card. Max 8GB, class ≥10 )|
|Indicators||On/off/connection state LED battery sate LED micro SD card state LED|
|Data streaming and store|
|Data transmission and range||Bluetooth 2.1 + EDR with 10 meters in direct sight.|
|Battery||Rechargeable lipo battery. Charging time <3.5h|
|Autonomy||> 10 h|
|Cleaning and maintenance||Wipes moistened in tap water|
|Certifications||CE and CB, with EN 60950, EN 55032, EN 55024|
|Bitbrain Software Kit (included with equipment)|
|Bitbrain real-time SDK||In C/C++ for Windows and Linux|
|Bitbrain data acquisition and visualization suite||Live visualization, streaming or SD recording, data export in CSV and raw data visualization|
|Third parties real-time I/O||LabStreamingLayer LSL compatibility (Matlab, Python, BCI2000, OpenVibe, NeuroPype, etc).|
|Third parties data processing||Matlab (EEGLAB, FieldTrip, BCILAB, etc), Python (MNE, etc) and more|
|Bitbrain software platforms (optional)|
|Bitbrain Human Behaviour Research Lab||Practical research platform for experiment design and data acquisition with 30+ sensor modalities seamlessly synchronized, and analysis with a wide range of emotional and cognitive biometrics available.|
|Bitbrain Programming Platform||Multimodal real-time neuroscience or brain-computer interface development.|
What is included
The devices are easily stored and transported within a suitcase. Technology is easily cleaned with wipes moistened with water.
- Wearable device
- Charger USB-microUSB
- Packaging box
- Bitbrain Software Kit
Basic Support is included during the life time of the product.
- Email support
- Technical assistance
- Knowledge base
Optional Premium support is also available.
Software for EEG signal acquisition, processing and programming, with large compatibility and with real-time I/O and third-party data processing.
Simplified data acquisition and setup
Collect data with the help of visual cues to assure montage and quality monitoring.
Easy to use development with versatile SDK to address a wide variety of applications.
Powerful real-time applications
Using real-time LSL third-party platforms such as Matlab, BCI2000 or OpenVibe among others.
In depth data analysis
Compatible with advanced platforms such as Matlab, EEGLab or MNE among others.