DSI-Hybrid

DSI-Hybrid

Wearable Sensing
Simultaneous Dry EEG and fNIRS in a Single Wearable System

The DSI-Hybrid (a.k.a. DSI-EEG+fNIRS) from Wearable Sensing is the first truly hybrid system to offer fully synchronized recordings of dry EEG and functional near-infrared spectroscopy (fNIRS) from the same scalp locations. Designed for researchers who need accurate, multimodal brain data in dynamic, real-world environments, the system combines advanced dry electrode technology with integrated high-intensity fNIRS emitters—enabling colocalized neural and hemodynamic monitoring with unmatched ease of use.

Setup takes less than three minutes on average, making the DSI-Hybrid an ideal tool for high-throughput studies or experiments that require quick participant turnaround. The system is built on Wearable Sensing’s patented dry sensor platform, offering high signal fidelity with minimal sensitivity to motion or electrical noise—no gels, no skin prep, and no compromise in data quality.

Colocalized Hybrid EEG and fNIRS Sensing

At the heart of the system are 8 integrated sensor pods, each equipped with:

  • 1 dry EEG electrode centered on the scalp region of interest
  • 4 NIR light emitters
  • 4 NIR detectors arranged to support both short- and long-path measurements

These pods are positioned across key cortical regions: the prefrontal cortex, temporal lobes, motor cortex, and occipital lobes. This arrangement enables researchers to simultaneously capture electrical brain activity and hemodynamic responses from areas involved in cognitive, sensory, motor, and visual processing.

All signals are digitized and synchronized at the source, allowing for seamless data alignment and cross-modality analysis without the need for manual post-processing or hardware synchronization tools.

Mayer Wave Artifact Removal

The pod configuration supports both short-distance and long-distance optical paths. The short-distance paths isolate physiological oscillations such as the Mayer wave—low-frequency blood pressure-related artifacts present in fNIRS signals. By capturing both signal paths, the system uses built-in linear regression techniques to subtract these artifacts in real time, significantly improving the fidelity of the neural hemodynamic response.

Cognitive State Classification with QStates

The DSI-Hybrid system is compatible with QStates, a machine learning platform developed to classify cognitive states from real-time multimodal brain signals. Using data from the hybrid pods, QStates can distinguish between visual, auditory, cognitive, and psychomotor tasks with high accuracy.

In validation studies, models trained on task-specific brain responses were able to accurately identify the subject’s mental state during real-time trials. This makes the system particularly valuable for applied neuroscience, neuroergonomics, cognitive workload assessment, and human factors research.

Research-Grade Performance with Dry Electrode Convenience

Despite being a fully dry system, the DSI-Hybrid delivers data quality that correlates over 90% with traditional wet EEG systems. This is achieved through Wearable Sensing’s advanced common-mode follower technology, spring-loaded electrode mounts, and robust shielding against external noise and motion artifacts.

The result is a high-fidelity system that can be used in ambulatory, real-world settings—without the drawbacks of gel-based setups or extensive preparation.

Rapid Setup and Comfort for Long Sessions

The headset is engineered for quick and secure donning, typically requiring less than three minutes to fit and calibrate. Foam padding and multiple adjustment points ensure a snug and comfortable fit for a wide range of head shapes and sizes, allowing for continuous recordings lasting up to eight hours.

Mobile, Standalone Recording with Full API Access

The DSI-Hybrid system includes onboard:

  • Active sensors
  • Signal amplifiers and digitizers
  • Battery and storage (onboard logging)
  • Wireless transmission module

This makes the system fully portable and suitable for field studies, mobile testing, or use in non-traditional environments. All DSI systems come with access to the DSI-Streamer acquisition software (Windows), supporting .csv and .edf export formats, as well as a free C-based API (.dll) for custom integration across Windows, macOS, Linux, and ARM platforms.

Fast Cleaning and Maintenance

Between sessions, cleaning the DSI-Hybrid headset is fast and simple. Using 70% isopropyl alcohol and a cleaning brush, the system can be fully cleaned in about one minute. After a brief drying period of around three minutes, the system is ready for use with the next subject.

Key Features Summary

  • 8 colocalized EEG+fNIRS sensor pods for simultaneous multimodal recordings
  • <3 minute setup time for rapid deployment
  • High-quality dry EEG with >90% correlation to wet systems
  • Artifact-resistant design using patented shielding and signal processing
  • Mayer wave artifact removal through dual-path optical sensing
  • Machine learning integration for real-time cognitive state classification
  • Wireless and standalone operation with onboard battery and storage
  • Comfortable, adjustable fit for extended use
  • Free software and API access included with every system

Read more
Sensor Locations:International 10-20 system Fp1, Fp2, C3, C4, T3, T4, O1, O2 and A1/A2 sensors for linked ear reference
Reference:Pz (Common-mode-follower technology)
Ground:Fpz
Sampling rate:EEG: 300 Hz
NIRS: 15 Hz
Bandwidth:EEG: 0.003-150 Hz
NIRS: 40 nm
NIRS emitters and detectors:4 per sensor
NIRS emitter frequency:3-wavelength technology (760, 808, 850 nm)
NIRS detectors:SiPD with integrated gain
NIRS detector sensitivity:0.13 pW
Common Mode Rejection Ratio (EEG):>120 dB
Channel Cross-Talk:< -70 dB with sensors
Input Impedance (1Hz):47 GΩ
Input Bias Current:<25 pA
ADC Offset Tolerance:±200 mV
Maximum Input Range:10mV pk-pk
Noise (1-50Hz):<1 µV RMS
Digital inputs:8-bits TTL
Emitter Frequencies:760, 808, 850 nm
Run-time:4h
Wireless:Bluetooth
Wireless range:10m (line of sight)

Important Note: This product is for research applications only. Not a medical device as defined in Regulation (EU) 2017/745 (EU MDR), Swiss Medical Devices Ordinance (MedDO, SR 812.213), or FDA 21 CFR Part 860. Not designed or intended to be used for diagnosis, treatment of disease or any other medical purposes.

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