Overview of Dry Sensor Interface (DSI)

With over 90% correlation to research-grade wet EEG systems, the dry sensor interface (DSI) offers unparalleled quality and performance.

Comfort and Wearability

Multiple adjustment points and a foam pad lined interior enable the system to be worn for up to 8 hours on any head shape or size.

Software and Data Acquisition

All DSI systems include free, unlimited licenses of DSI-Streamer, our data acquisition software which can record raw data in .csv and .edf file formats.

Technology and Design

Faraday cage's, spring-loaded electrodes, and our patented common-mode follower technology, provides near immunity against electrical and motion artifacts.

Using 70% isopropyl alcohol and a cleaning brush, the DSI-24 only takes a minute to clean, 3 minutes to dry, and can be up and running on the next subject in minutes.

All DSI systems include our free C based .dll API, which enables users to pull the raw data directly from the headset for custom software on Windows, Mac OS, Linux, and ARM.

The DSI-24 was designed for ultra-rapid setup, taking on average less than 3 minutes to don, and works on any type of hair, including long hair, thick hair, afros, and more.

DSI headsets have active sensors, amplifiers, digitizers, batteries, onboard storage, and wireless transmission, making them complete, mobile, wearable EEG systems.

Machine Learning and Applications

DSI systems exclusively work with QStates, a machine learning algorithm for cognitive classification on states such as mental workload, engagement, and fatigue.

Bring EEG into the virtual world using our VR adaptor kit, compatible with the HTC Vive Pro and Oculus Quest 2.

Adjustability and Child Size System

The DSI-24 has 3 easy adjustment points, allowing for accurate sensor positioning on any head shape or size, with an average positional accuracy of 1.5 cm.

The DSI-24 Child Size system can fit head circumferences from 48-54 cm, or about ages 3-12. Since the system is extremely comfortable and quick to put on, it is the ideal solution for children with Autism or other hypersensitivities.

Every DSI system has an integrated 3D accelerometer, which can be used for head motion tracking.

Research and Validation

Betts Peters, Dr. Melanie Fried-Oken, and their team at Oregon Health & Science University have developed a P300 speller using the DSI-24, validating its functionality on subjects with Locked-In syndrome.

Dr. Murat Akcakaya and his team at the University of Pittsburgh created a BCI that was able to reliably differentiate between distress and non-distress conditions in 21 individuals with ASD on a single trial basis during a game with deception.

Dr. Stefanie Blain-Moraes and her team at McGill University conducted a comparative study of the DSI-24 and other dry EEG systems against a Gold Standard system using functional connectivity to assess signal quality and spectral characteristics.