DSI-EEG+FNIRS

Wearable Sensing’s wireless DSI-EEG+fNIRS system is the first truly hybrid system, enabling simultaneous and automatically synchronized recordings of dry EEG and fNIRS from the same location. The system is built with Wearable Sensing’s leading dry electrodes in terms of signal quality and comfort, featuring integrated ultra-bright Archinoetics LEDs within the emitters.
The setup of the DSI-EEG+fNIRS system takes less than 3 minutes on average, making it the ideal solution for scientists who require a simple and easy-to-use EEG system. Our patented sensor technology not only offers uncompromised signal quality but also ensures the system is virtually immune to both motion and electrical artifacts.

Truly Hybrid EEG+fNRIS

The DSI-EEG+fNIRS has 8 pods, each with 4 emitters and 4 detectors, and a dry electrode EEG sensor in the middle. There are 2 pods on the pre-frontal cortex, 2 pods on the temporal lobe, 2 pods on the motor cortex, and 2 pods on the occipital lobe. This sensor configuration allows scientists to do a variety of different experiments, including mental workload tasks, auditory tasks, motor tasks, and visual tasks.

The DSI EEG+fNIRS system is the first true hybrid system on the market, enabling colocalized recordings of the two modalities, designed for various neurovascular coupling research. There are a total of 8 sensor pods on the system, and each pod has 1 EEG sensor in the middle, 4 emitters, and 4 detectors surrounding. All of the data is digitized together, and thus, synchronized automatically

Technical specifications

Hardware

Hardware Specification

EEG Channels	Fp1, Fp2, C3, C4, T3, T4, O1, O2, A1, A2
Reference / Ground	Common Mode Follower (Pz) / Fpz
Head Size Range	52cm – 62cm circumference
Sampling Rate	300 Hz (600Hz upgrade available) EEG 15 Hz fNIR
Bandwidth	0.003 – 150 Hz EEG 40 nm fNIR
fNIR POD	4 Emitters and 4 Detectors
fNIR Emitters	4 LED (Class I Laser) per sensor
Emitter Frequencies	760, 808, 850 nm
fNIR Detectors	SiPD with integrated Gain
Detector Sensitivity	0.13 pW
Wireless	Bluetooth
Wireless Range	10 m
Run Time	4 hours

Software

Data Acquisition	Real time, evoked potentials
Signal Quality Monitoring	Continuous impedance, Baseline offset, Noise (1-50 Hz)
Data Type	Raw and Filtered Data available
File Type	.CSV and .EDF
Data Output Streaming	TCP/IP socket, API (C Based), LSL

Compatible Software

Cognitive State Classification	QStates
Brain Computer Interface	SSVEP BCI Algorithms; BCI2000; OpenViBE; PsychoPy; BCILab
Data Integration / Analysis	CAPTIV; Lab Streaming Layer; NeuroPype; BrainStorm; NeuroVIS
Neurofeedback	Applied Neuroscience NeuroGuide; Brainmaster Brain Avatar; EEGer
Neuromarketing	CAPTIV Neurolab
Presentation	Presentation; E-Prime