Mindtooth Touch Headset
The Mindtooth Touch headset is comprised of two main parts: front and rear part. The two parts are held together with an adjustable elastic band.
Five EEG sensors are found on the front part of the headset, which is designed to fit to the user’s forehead and maximize comfort. All electrode pellets and bases for the sponge electrode holders are embedded in the headset together.
The rear part of the headset contains the ground and reference sensors, three parietal EEG sensors and the ClickOn Amplifier socket. Ground and reference sensors are fitted on the mastoids, allowing the user to wear glasses and headphones while wearing the headset.
The arms on which the electrodes are placed have been designed to adapt to the users head shape and contain an extended rotating piece in order to ensure contact with the scalp.
Key features
Easy to fit
Flexible design to fit all heads
and hairstyles
Comfortable to wear
Salt-water sponge-based electrodes
Specifications
| 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
The front of the amplifier includes the following user-interface:
- A micro-USB port for charging the ClickOn Amplifier’s battery
- An ON/OFF push button that also indicates Bluetooth connection status
- Three LEDs showing the battery charge level
Specifications
| 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 |
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.
Software
Neurometrics App
The Mindtooth Neurometrics App enables users to record EEG data from the Mindtooth Touch system and compute neurometrics for workload, stress, and vigilance. To record new EEG sessions, users must download and run the Windows companion app for EEG recording, available directly from the web app, which handles the hardware communication layer and connects to the Mindtooth Touch amplifier.
On Windows, the full functionality is available, including live EEG acquisition and real-time neurometrics computation. On other operating systems, the web app can be used to review reports, visualize results, and download EEG and neurometrics data, but recording new sessions is not supported.
Neurometrics calculations are performed in real time using scientifically validated AI algorithms hosted in a secure cloud environment and are streamed to third-party applications via the WebSocket protocol for efficient, low-latency, and reliable communication.
All EEG data and neurometrics are securely stored in the cloud and are immediately accessible either through direct download in .csv format or via online visualization on the app’s report page.
Real-time neurometrics
Accessible everywhere
Custom integration via API
Safe & GDPR compliant
Specifications
| 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 |
EEG App
The Mindtooth EEG App is a Windows® application that enables streaming and recording of EEG signals from the Mindtooth Touch system. It manages the connection with the amplifier, enables users to configure basic settings (sampling frequency, enabled channels, etc.), and to check contact quality (impedance measurement).
The EEG data are stored locally and can be imported to third-parties based on MATLAB® (i.e. EEGLAB, BCILAB, etc.), Python (MNE, etc.), Tobii Pro Lab, etc. for offline visualization and analysis.
The EEG app also offers a straightforward real-time connectivity with other devices via Lab Streaming Layer (LSL), allowing researchers to build diverse protocol setups using a wide range of tools.
Specifications
| 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 |