Data Sheet

fNIRS Sensor
Data Sheet
FNIRS25102017
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PLUX – Wireless Biosignals, S.A.
Av. 5 de Outubro, n. 70 – 8.
1050-059 Lisbon, Portugal
[e-mail]
http://biosignalsplux.com/
REV A!
© 2017 PLUX
This information is provided "as is," and we make no express or implied warranties whatsoever with respect to functionality, operability, use,
fitness for a particular purpose, or infringement of rights. We expressly disclaim any liability whatsoever for any direct, indirect, consequential,
incidental or special damages, including, without limitation, lost revenues, lost profits, losses resulting from business interruption or loss of data,
regardless of the form of action or legal theory under which the liability may be asserted, even if advised of the possibility of such damages.
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SPECIFICATIONS
> Infrared emitter*
>Peak emission: 860nm
>Half intensity beam angle: ±13 deg
>Spectral bandwitdth: 30nm
>Radiant intensity: 750mW/sr
> Red emitter*
>Peak emission: 660nm
>Half intensity beam angle: ±18 deg
>Spectral bandwitdth: 25nm
>Power output: 7mW
> Detector*
>Wavelength of max sensitivity: 850nm
>Range of sensitivity: 400nm-1100nm
>Radiant!sensitive!area: 7.0 (mm
2
)
>Dimension of radiant sensitive area:
2.65mm x 2.65mm
> Infrared/Red emitter
>Duty cycle: 25%
> Resolution: 16bit
> Sampling frequency: 500Hz
> Communication with biosignalsplux Hub:
SPI
* Parameters provided for T
A
= 25°C. For additional parameters please
contact [e-mail]
FEATURES
> Adjustable current for each LED using the API
> Pre-conditioned digital output
> High signal-to-noise ratio
> Ready-to-use form factor
> Magnetic binding for easy attachment to third-
party accessories
APPLICATIONS
> Oximetry
> Heart rate & heart rate variability
> Life sciences studies
> Biomedical research
> Human-Computer Interaction
GENERAL DESCRIPTION
The fNIRS (functional near-infrared
spectroscopy) sensor uses two emitting LED’s
one in the red region and the other in the
Fig. 1. Form factor for a comfortable head placement
Fig. 2. Typical reflected red light raw data (acquired
with biosignalsplux).
Fig. 3. Typical reflected infrared light raw data
(acquired with biosignalsplux).