Decoding mental states
in operational environments
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.
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.
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
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
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 Lab Streaming Layer (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.
Applications
Teamwork
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.
Education
Learning efficiency remains a major challenge in education, despite the availability of digital and immersive tools. Prioritizing cognitive well-being and engagement is key to achieving effective and sustainable learning outcomes.
Mindtooth can enhance the management of educational processes by providing real-time measures of workload, stress, and vigilance of learners, identifying moments of overload or loss of attention, and stressful topics.
This enables instructors and adaptive platforms to optimize content delivery, improving both learning effectiveness and students’ mental well-being even in immersive or digital settings such as VR.
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.
Wireless
High usability and low invasiveness in operating environments.
Integrable
Neurometrics and output can be integrated in tablet/web interface/3rd party application.
VR compatible
Wearable with head-mounted VR systems without inducing signal interference.
User Feedback
Effective EEG-based research for early-career researchers
The Mindtooth system has impressed me with the simplicity of its installation, maintenance and use, making it an ideal tool for educational settings. It enables even students at the beginning of their university studies to successfully and efficiently grasp the fundamentals of EEG, without the need for extensive training and assembly, which can be challenging to manage for large groups of students.
Furthermore, the system’s integration with virtual reality and ecological experimental tasks, coupled with its user-friendly design that eliminates the intimidating aspects of traditional laboratory equipment, makes it a highly versatile solution. The Mindtooth system significantly simplifies the analysis of complex signals, such as the EEG, ensuring a seamless and efficient experience for all users.
– Prof. Michele Scandola, NPSY-Lab.VR – University of Verona, Italy
Simplifying research by using high quality EEG without specific technical skills
I have used the Mindthooth system within the European project DDskills. I am really impressed by how much faster is the system setup in comparison with the standard research EEG systems.
Given the wearability and high comfort of the headset, combined with the signal quality and the neurometrics included in the mindtooth software, this system opens the door for future studies not requiring highly technical skills.
– Dr. Angela Riccio, PhD, Psycologist
IRCCS “Fondazione Santa Lucia” Hospital, Rome, Italy
Charting the Future of Aeronautic Training with Mindtooth
Mindtooth revolutionizes the way we understand and measure the mental states of pilots. Its capability to accurately gauge Stress, Workload, and cooperation between cockpit crew members in real-time is a game-changer. This level of insight has been elusive in the past, but with Mindtooth, it becomes a tangible metric that can be incorporated into the fabric of our training systems.
Mindtooth’s is not just a product; it’s a vision of a future where technology and cognitive science come together to create safer, more efficient flying experiences. I look forward to the transformation this system will bring about in our field, propelling us into a new era of aeronautical training.
– Prof. Lorenzo Mezzadri, PhD in Cognitive Psychology, Pilot and Director of Urbe Aero Flight Academy
How to …
Technical Specifications
Mindtooth Touch Headset
| Number of EEG channels | 8 |
| Number of electrodes | 8 EEG plus REF and GND |
| Electrode positions | AFz, AF3, AF7, AF4, AF8, Pz, P3, P4 plus mastoid REF and GND (channel map) |
| Electrode technology | Passive, sponge-based |
| Size | One size fits all (adolescents through adults) Size range: 52-60 cm (head circumference) |
| Headset weight | ~130 g |
Mindtooth ClickOn Amplifier
| Number of EEG channels | (Up to) 8 |
| Number of electrodes | (Up to) 8 EEG plus REF plus GND |
| Data transmission | Bluetooth® Low Energy (Version 5) |
| Sample rates | 125, 250 or 500 Hz |
| Bandwidth | 0.1 - 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 resolution | 24 Bits |
| Power supply | Lithium Battery (two coin cells); 3.7 V, 240 mAh |
| Indicators | 3 LEDs: Battery Level (high, medium, low) 1 LED: Bluetooth® connection |
| Connection to headset | Magnetic Connector with 10 contacts and 3 magnets |
| Dimensions (W x D x H) | 53 mm x 53 mm x 15 mm |
| Weight | ~30 g |
| Marking | CE and UKCA |
Mindtooth Neurometrics App
| Application Type | Web application with Windows companion app for EEG recording |
| Functions | Cloud-based real-time computation of neurometric indicators, Visualization and offline reports of computed neurometrics, Acquisition and visualization of EEG signals (recording on Windows only), Impedance check |
| Recording Operating System | Windows® 10 version 1809 or later, Windows® 11 |
| Non-Recording Operating Systems | macOS®, Linux®, and others (report review, visualization, and data download only) |
| Companion App Availability | Downloadable directly from the web app |
| Hardware Communication | Handled by the Windows companion app for EEG recording |
| Bluetooth® Hardware Requirements | Bluetooth® 4.0 or later |
| Data Storage | Database storage of neurometrics and EEG.csv (comma-separated values) format download |
| Management | Database of users and sessions |
| Real-Time I/O Connectivity | Neurometrics accessible via WebSocket protocol |
| Compatibility with Data Analysis Platforms | Compatible with data analysis tools based on MATLAB® (EEGLAB, BCILAB, etc.), Python (MNE, etc.), and more |
| Internet Connection | Required for real-time processing, streaming, and cloud services |
Mindtooth EEG App
| Functions | Real-time acquisition and visualization of EEG signals Impedance check |
| Data storage and export | .CSV (comma separated values) |
| Management | Local storage of users and sessions |
| Real-time I/O connectivity | Compatible with real-time third-parties based on Lab Streaming Layer LSL (BCI2000, OpenViBE, NeuroPype, and more) |
| Compatibility with data analysis platforms | Compatible with data analysis tools based on MATLAB® (EEGLAB, BCILAB,etc.), Python (MNE, etc.) and more |
| Operating system requirements | Windows® 10 version 1809 or later, Windows® 11 |
| Bluetooth® hardware requirements | Bluetooth® 4.0 or later |
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
The multidisciplinary project consortium consisted of BrainSigns srl. (Italy), Brain Products GmbH (Germany), the ITCL Technology Centre (Spain), and IBM Israel.
