Ring

Accurate and comfortable GSR and BVP monitoring.
Ring is an ultralight wearable device for real-time monitoring of electrodermal activity (EDA/GSR) and cardiovascular signals (BVP). It includes a 3-axis accelerometer to estimate motion artifacts and ensure high signal quality, even during dynamic conditions.
ring

What is included

ring components
ring layout

What is included

  • Ring Device
  • 8GB Class-10 MicroSD card with SD adaptor
  • USB type A – micro USB B cable

Sensors

Integrated sensors for accurate GSR and BVP measurement. Includes a 3-axis accelerometer (ACC) to reduce motion artifacts. Wireless, compact, and ultralight amplifier. Bluetooth data transmission and microSD card backup storage. Amplificatore wireless, compatto e ultraleggero. Trasmissione dati Bluetooth e archiviazione di backup su scheda microSD.

Technical specifications

Hardware

Biosignal channels

1x EDA (µS), 1x BVP (bpm), 1x ACC (3-axis)

Sampling rate/resolution

32 SPS at 16 bits

Resolution

16 bits

Bandwidth

DC-16Hz (2nd-order LPF)

Integrated sensors

Integrated Accelerometer (3 axis)

Input range and noise

1x EDA (0.1-100 µS), 1x BVP (0x250 bpm), 1x ACC (±4 G)

Indicators

On/off & connection LED, battery status LED, microSD card status LED

Weight

60 g

Data transmission and range

Bluetooth Low Energy 5.0 2,4 GHz + EDR with 10 meters in direct sight

Data files

CSV, EDF

Data backup

Internal SD card (16 GB)

Battery

Rechargeable LiPo battery; charging time < 3 h

Autonomy

> 9 h

Nominal / Rated Voltage

3.7 V

Nominal / Rated Power

360 mW

Battery Life Span

500 cycles > 80%

Charging

USB type C

Hardware version of the amplifier

V13

Firmware

Upgradable via web

Working Temperature

0 ºC ~ +25 ºC

Warranty

2 years (amplifier)

Certifications

CE (Directive 2014/53) and FCC (part 15)

Software

SennsLite

Real-time visualization, data recording, and synchronization across all Bitbrain devices. Compatible with LabStreamingLayer (LSL) for third-party real-time I/O (BCI2000, OpenVibe, NeuroPype, Medusa). Data export in CSV and EDF, compatible with common analysis softwares: Python (MNE, etc), Matlab (EEGLAB, FieldTrip, BCILAB,etc), and more.

C SDK

SDK in C for maximum performance and portability enabling Python integration. Compatible with Windows OS and Linux (x86).

SennsLab

Synchronization software for experimental design and data collection, supporting 35+ seamlessly synchronized sensor modalities including EEG, eye-tracking, and other biosignals. Compatible with third-party softwares via TCP/IP protocol. Data export in CSV.

SennsMetrics

Data analysis tool for emotional, cognitive, and behavioral metrics. Data are recorded with SennsLab, processed via SennsCloud, and analyzed and visualized in SennsMetrics.

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