About Mindtooth

The Mindtooth system makes a leap in design, form, style, ergonomics and enables the measurement of mental states without requiring any technical skills.

product development

Mindtooth Touch Headset

The Mindtooth Touch headset is a key element of entire Mindtooth system. It is lightweight, wearable, flexible, and able to fit all the head shapes and sizes, while still achieving outstanding signal quality without inducing any discomfort despite hours of continuous usage.

Finger pointing to measured EEG signals in LSL Viewer on a laptop.

Mindtooth ClickOn Amplifier

The ClickOn Amplifier features an extensive variety of capabilities, all of which contribute to its exceptional EEG quality. It is extremely lightweight (30 grams), has magnetic connectors allowing easy placement on the headset, and records high quality EEG signal for up to 3 hours of continuous usage.

Mindtooth Neurometrics App

Mindtooth Neurometrics App

Visualize and stream workload, stress and vigilance in real-time to measure mental states of a user during their daily activities and review them offline in a simple yet comprehensible way with the Mindtooth Neurometrics App.

Want to know more about its features? Jump into the dedicated section to learn more.

Mindtooth EEG App

Mindtooth EEG App

The Mindtooth EEG App provides an easy way to access and visualize raw EEG data from the Mindtooth Touch headset.

Do you want to build your own experimental setup using the Mindtooth Touch headset? No problem! The app is based on LabStreamingLayer (LSL), so you just need to connect to the headset, start the streaming and you are good to go.

Discover how simple it is in the dedicated section.


Mindtooth Use Case Aviation


Training and expertise are key aspects in aviation. A traditional way of evaluating operator (i.e. pilots, air traffic controllers) expertise is to measure performance output; however, this approach provides a narrow view of the operator’s capacity, especially with regard to the cognitive profile.

Mindtooth is able to measure workload and stress to assess human factors and help improve performance, learning and competence evaluation of both professional and trainees pilots, as well as air traffic controllers.


The human element of driving remains the main cause of traffic accidents and fatalities.

Real-time measurement of workload and vigilance provided by Mindtooth neurometrics enable  better training and improved performance, thereby reducing the risk of accidents.

Mindtooth Use Case Automotive

Related references

2023| Research article published in Sensors (doi: 10.3390/s23208389)
A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees

2022 | Research article published in Frontiers in Human Neuroscience (doi: 10.3389/fnhum.2022.901387)
Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces

Mindtooth Use Case Surgeons


Teamwork is a complex construct that cannot be simplified as the linear combination of individuals’ effort.

Although teamwork is crucial in contemporary society, objective methodologies and procedures to evaluate its dynamics and effectiveness are still missing.

To overcome this limitation, Mindtooth provides a neurophysiological – based teamwork assessment by applying the Mutual Information (MI) theory to the neurometrics of mental workload, stress, and vigilance.

Industrial Workers

Work accidents remain a challenge for many industrial sectors, despite safety regulations and procedures. Prioritizing safety is a key factor in ensuring industrial efficiency and effectiveness.

Mindtooth can enhance the management of human resources, by providing real-time measures of workload and stress of workers, anticipating possible errors induced by unsafe human factors (i.e. overload or overstress), even before the worker becomes consciously aware of them.

Mindtooth Use Case Industrial Workers
Mindtooth Use Case Neuroaesthetics


The Mindtooth system was validated through studies within the Accademia dei Lincei and the Basilica of San Pietro in Vincoli in Rome to measure the appreciation of various works of art: the recitation of passages from Dante’s Divine Comedy or the observation of the Moses statue by Michelangelo.

The quality of the EEG signal recorded on participants moving within a natural environment was confirmed to be of the same quality as that obtained on subjects in a more static position in front of simulators.

Virtual Reality (VR)

The Mindtooth Touch headset can be worn together with head-mounted VR systems without inducing signal interference. The system has been tested by BrainSigns in a research study, which assessed workload and approach-withdrawal during VR in different scenarios.

Mindtooth Use Case Virtual Reality

Why Mindtooth

Scientific research is at the base of all the main advantages of the Mindtooth system.

Ease of Use

Easy and quick to prepare. Intuitive interface with clear information.

High Comfort

Lightweight (<200 g), sponge-based sensors, optimized and ergonomic design.

High Quality

Wireless hardware from a leading neurophysiological research company, validated algorithms for neurometrics.


High usability and low invasiveness in operating environments.


Continous R&D, constant product innovation, top performance.


Neurometrics and output can be integrated in tablet/web interface/3rd party application.

User Feedback

Technical Specifications

Mindtooth Touch Headset

Number of EEG channelsMindtooth Lite: 8
Number of electrodesMindtooth Lite: 8 EEG plus REF plus GND

Mindtooth ClickOn Amplifier

Number of EEG channels(Up to) 8
Number of electrodes(Up to) 8 EEG plus REF plus GND
Data transmissionBluetooth® Low Energy (Version 5)
Sample rates125, 250 or 500 Hz
Bandwidth0.1 - 33 Hz at 125 Hz sampling rate
0.1 - 66 Hz at 250 Hz sampling rate
0.1 - 131 Hz at 500 Hz sampling rate
Bit resolution24 Bits
Power supplyLithium Battery (two coin cells); 3.7 V, 240 mAh
Indicators3 LEDs: Battery Level (high, medium, low)
1 LED: Bluetooth® connection
Connection to headsetMagnetic Connector with 10 contacts and 3 magnets
Dimensions (W x D x H)53 mm x 53 mm x 15 mm
Weight~30 g
MarkingCE and UKCA

Mindtooth Neurometrics App

FunctionsCloud-based real-time computation of neurometric indicators
Visualization and offline reports of computed neurometrics
Acquisition and visualization of EEG signals
Impedance check
Data storageDatabase storage of neurometrics and EEG
.CSV format download
ManagementDatabase of users and sessions
Real-time I/O connectivityNeurometrics accessible via WebSocket protocol
Compatibility with data analysis platformsCompatible with data analysis tools based on MATLAB® (EEGLAB, BCILAB, etc.), Python (MNE, etc.) and more

Mindtooth EEG App

FunctionsReal-time acquisition and visualization of EEG signals
Impedance check
Data storage and export.CSV (comma separated values)
ManagementLocal storage of users and sessions
Real-time I/O connectivityCompatible with real-time third-parties based on LabStreamingLayer LSL (BCI2000, OpenViBE, NeuroPype, and more)
Compatibility with data analysis platformsCompatible with data analysis tools based on MATLAB® (EEGLAB, BCILAB,etc.), Python (MNE, etc.) and more

Please note: Mindtooth is not a medical device. The product may be used in the context of non-medical applications in order to carry out applied and fundamental research on the basis of neurophysiological methodology. The use for medical diagnosis, medical therapy, medical monitoring of vital physiological processes (such as cardiovascular functions, etc.) or other medical purposes is expressly forbidden.

Mindtooth is permitted to be used by professionals in the context of non-medical applications only. Ownership cannot be transferred to non-professionals.

The Brains behind Mindtooth

This wearable device to decode the human mind by neurometrics is the result of the Mindtooth project (funded by the European Union’s Horizon 2020 research and innovation programme).

The multidisciplinary project consortium consisted of BrainSigns srl. (Italy), Brain Products GmbH (Germany), the ITCL Technology Centre (Spain), and IBM Israel.