DSI Overview

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

Comfort and Usability

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. 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.

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. 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.

Advanced Features

Faraday cage's, spring-loaded electrodes, and our patented common-mode follower technology, provides near immunity against electrical and motion artifacts. Every DSI system has an integrated 3D accelerometer, which can be used for head motion tracking. DSI headsets have active sensors, amplifiers, digitizers, batteries, onboard storage, and wireless transmission, making them complete, mobile, wearable EEG systems.

Machine Learning Integration

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

Virtual Reality Compatibility

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

Specific Applications

The DSI-24 Child Size system can fit on head circumferences from 48-54 cm, or about age 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.

Research and Validation

  • P300 Speller Development: Betts Peters, Dr. Melanie Fried-Oken, and their team at Oregon Health & Science University have developed a P300 speller using the DSI-24, and have validated its functionality on subjects with Locked-In syndrome.
  • BCI Development: Dr. Murat Akcakaya and his team at 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.
  • Comparative Study: Dr. Stefanie Blain-Moraes and her team at McGill University did a comparative study of the DSI-24 and other dry EEG systems to a Gold Standard system using functional connectivity to assess signal quality and spectral characteristics.