focus EEG Dev Kit Inc. tDCS, tACS, WiFi, BT5

focus eeg dev kit side EEG Dev Kit (2nd Batch) Ships Q3 2017
$999.00
focus eeg dev kit side EEG Dev Kit (Early Bird) SOLD OUT!

Out of stock

$999.00
Focus EEG Dev Kit features:
1) Pro grade 8-channel 24-bit EEG analogue front end
2) Wi-FI, IoT, MQTT, Raw data, more
3) Electrical stimulation: tDCS, tACS, tRNS, more
4) functional neuro-imaging with optional fNIRS sensor
5) Mic, 6 Axis Intertial Monitor, Haptic Feedback, BT5.0,

Each Development Kit Includes:
I) EEG Dev Kit Device
II) 5 x Dual Active Dry Electrode Pairs (10 electrodes)
III) 1 x Reference + Bias Ear Clip (DRL)
IV) 1 x/y Magentic tES Cable + 1 pair Amx-y Electrodes
V) 1 x Full Head Cap with Chin Strap
VI) Power Adapter

To buy, select quantities to the left



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  • focus EEG Dev Kit

    focus EEG Dev Kit

    focus EEG Dev Kit

    This is our 24-bit 8-channel professional grade EEG combined with a transcranial Electrical Stimulator. Controlled via voice and connected via Wi-Fi. Pull open data streams of raw EEG data or process data in the focus AI cloud.

    Closed-loop brain stimulation has arrived.
    This is a 24-bit 8-channel professional grade EEG combined with a transcranial Electrical Stimulator. Controlled via voice and connected via Wi-Fi. Take open data streams of raw EEG data or process data in the focus EEG AI cloud. Brain hackers take charge.

tDCS, tACS, tPCS, tRNS

focus best in class stimulation modes including transcranial Direct Current, Alternating Current, Pulsed Current, and Random Noise.

Electroencephalogram Device

24-bit 8-channel biopotential channels for EEG, EOG/ECG and EMG. Powered by Texas Instruments ADS1299 high-gain, low-noise ADC. 8*EEG or 6*EEG+2*EXG

Wi-Fi, 8GB, Mic

focus EEG Dev Kit streams data via Wi-Fi, has integrated Mic and 8GB of on-board storage.

  • EEG Dev Kit Spec.s

    EEG Dev Kit Spec.s

    EEG Dev Kit Specs

    • ADS1299 Medical Analogue Front-end EEG
    • ARM Cortex M4F 32Bit Core
    • Wi-fi 802.11b/g/n
    • 8GB onboard memory
    • 600mAh LiPol battery
    • Medical Grade isolated recharger
    • 24 bit ADC
    • 250 to 16k Samples per second
    • 6 axis - accelerometer and gyroscope
    • Onboard MEMS microphone
    • Haptic feedback
    • tES - tDCS, tACS, tPCS, tRNS, so-tDCS
    • Triple current safety locks
    • Open data access via MQTT packets
    • Encrypted data transmission via TLS
    • Online extensible cloud data processing
    • IoT configuration and control
    • 8 active dry electrodes (EEG)
    • 2 active differential electrodes (ECG, EMG, EOG)
    • Driven Right Leg and Reference Electrodes
    • fNIRS capabilities for optional fNIRS sensor

    • ADS1299 Medical Analogue Front-end EEG
    • ARM Cortex M4F 32Bit Core
    • Wi-fi 802.11b/g/n
    • 8GB onboard memory
    • 600mAh LiPol battery
    • Medically isolated external recharger
    • 24 bit ADC
    • 250 to 16k Samples per second
    • 6 axis - accelerometer and gyroscope
    • Onboard Mems microphone
    • Haptic feedback
    • tES - tDCS, tACS, tPCS, tPNS tRNS, so-tDCS
    • Triple current safety locks
    • Open data access vi MQTT packets
    • Encrypted data transmission via TLS
    • Online cloud data processing - extensible
    • IoT configuration and control
    • 8 active dry electrodes EEG
    • 2 active differential electrodes - ECG, EMG, EOG
    • Driven RIght Leg and Reference Electrodes

    There are more electrical components in the EEG Dev Kit than foc.us v1, v2 and Go Flow combined!
  • Optional fNIRS

    Optional fNIRS

    Add fNIRS

    functional Near-InfraRed Spectroscopy is a non-invasive neuro-imaging technology. Infrared reflections show changes in oxygenation levels of blood in the brain.
    This is known as Blood-Oxygenation-Level-Dependent, BOLD response.

    fNIRS adds a different dimension of spatial resolution to brain monitoring and BCI.

    Connect the optional fNIRS sensor (pictured here) to the EEG Dev Kit and start measuring brain blood activity simultaneously.
    functional Near-InfraRed Spectroscopy is a non-invasive neuro-imaging technology. Infrared reflections show changes in oxygenation levels of blood in the brain. This is known as Blood-Oxygenation-Level-Dependent, BOLD response.
    fNIRS adds a different dimension of spatial resolution to brain monitoring and BCI.

What is fNIRS?

Functional Near InfraRed Spectroscorpy (fNIRS) is a brain imaging technique using infrared light to monitor brain activity. fNIRS can measure the haemoglobin concentration changes relating to neuronal activity.
Compared to other neuroimaging techniques such as magentoencephalography MEG, electroencephalography EEG and functional magnetic resonance fMRI, fNIRS is a good compromise of spatial and temporal resolution.

Why include fNRIS?

fNIRS has a higher spatial resolution than EEG.
fNIRS is less susceptible to motion artifacts, blinking or eye movements than EEG.
But mainly because we need fNIRS data to help us develop our future BrainCAM product.

How does fNIRS work?

fNRIS irradiates a non-invasive near-infrared light. This wavelength is invisible to the human eye, and at this wavelength Biological tissues is almost transparent. The light passes through the skin and brain but is absorbed by blood. From the absorption rates it is possible to measure the concentration and changes of oxyhemoglobin (HbO2) and deoxyhemoglobin (HHB). This data directly relates to brain activity. More specifically activation is defined as a concurrent increase in Oxy and a decrease in deoxy levels.

  • Dry Active EEG Electrodes

    Dry Active EEG Electrodes

    Dry Active Electrodes

    Each dry eeg electrode includes an internal low-noise operational amplifier. No paste or gel is required and they are (relatively) comfortable through hair.
    EEG Dev Kit includes 10 active electrodes plus bias and active reference.
    Can be configured as 8 x EEG
    or 6 x EEG and 2 x bio-potential.
    Each dry eeg electrode includes an internal low-noise operational amplifier. No paste or gel is required and they are (relatively) comfortable through hair.
  • NeuroScience Redefines Big Data

    NeuroScience Redefines Big Data

    Big EEG Data

    16k Samples Per Second from 8 x 24-bit active electrodes is Big Data.

    Focus Data Science "team" processes this data with machine learning algorithms to look for biomarkers. Only artificial intelligence is capable of processing this volume of data.

    This is the intersection of neuroscience and artificial intelligence and it is a very exciting frontier.

    Focus biomarker detection algorithms enable easy to use IoT triggers. For example your raw sleep eeg data is processed online and turned into sleep stage triggers. These triggers can then be used to call other functions e.g. twitter, tACS, alarm clock.

    16k Samples Per Second from 8 x 24-bit active electrodes is Big Data.
    Big, Big Data.
    Focus Data Science department processes this data with machine learning algorithms to look for biomarkers.

100 Brains Only

Focus is a small team and we like to make sure we can support our customers properly. For that reason we are limiting the first production run to only 100 units. The brainwave data from this 100 will help shape the future by training the first algorithms. The 2nd batch will be limited to 200.

1st Batch Shipped, 2nd Q4

The first batch slipped from an estimated March to an actual September delivery. The 2nd batch is being manufactured in October. Don't miss your chance to order this extraordinary device.

EEG Control & Data

Control of the device is via a web based json interface. There is an app for initial wifi provisioning. Raw μV EEG data is streamed via MQTT. Your input will help define how everything hangs together.

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Analogue Front End (AFE)

ADS1299 low noise medical grade AFE;
Up to 8 channels;
EEG, ECG, EOG and EMG compatible;
24-bit delta-sigma analog-to-digital converter (ADC);
Input-referred noise: 1 μVPP;
Data rate: 250 to 16 k samples per second;
Common-mode rejection ratio: -110 dB;
Single-ended and differential inputs;
Active common-mode interference rejection (using Bias electrode).

Electrodes

Active dry electrodes;
Supply voltage: 2.2 to 5.5 V;
Quiescent current (typ): 1.5 mA;
Input voltage noise (f = 0.1 Hz to 10 Hz): 0.8 μVPP;
Input safety resistor: 5.1 kΩ;
Input bias current (typ): 0.2 pA;
Common-mode rejection ratio (typ): 90 dB.

Communications

802.11b/g/n Wi-Fi;
Personal and enterprise Wi-Fi security;
Secure X.509 certificates storage;
Encrypted data transmission via TLS;
Data publishing via MQTT;
DHCP, mDNS, HTTPS and SNTP support;
BLE 5.
OTA firmware updates

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