Internet of things-based functional near-infrared spectroscopy headband for mental workload assessment

Manob Jyoti Saikia

doi:10.1117/12.2577922

5 March 2021 Internet of things-based functional near-infrared spectroscopy headband for mental workload assessment

Manob Jyoti Saikia

Proceedings Volume 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics; 116292J (2021) https://doi.org/10.1117/12.2577922
Event: SPIE BiOS, 2021, Online Only

Conference Poster

Abstract

Functional near-infrared spectroscopy (fNIRS) is an optical brain imaging technique that maps brain function in terms of changes in oxygenated and deoxygenated hemoglobin concentration (hemodynamic response) on the cortical surface of the brain. Wireless wearable fNIRS imaging is always preferable to study a brain in an unconstrained environment. However, an LED and photodetector based miniaturized fNIRS system suffers from several technical challenges to provide high fidelity fNIRS signal. This paper reports the design and development of an internet-of-things (IoT)-based wireless fNIRS headband to image hemodynamic response of the prefrontal cortex of the brain in naturalistic settings. The headband has four dual-wavelength LEDs and four silicon photodiode detectors arranged to provide 10 usable fNIRS channels. The designed IoT-based controller has dedicated digital and analog circuit and is operated by an embedded computing algorithm to facilitate source modulation, lock-in detection, onboard calibration, and basic signal processing to improve SNR of the optical measurements at 9 Hz. A graphical user interface (GUI) software on the host computer helps the users to visualize and record the fNIRS signal wirelessly. The experimental validation of the system was performed by imaging prefrontal cortex of the brain while the participants (n=16) performed cognitive tasks that induced four different levels of mental workload. The experimental results demonstrated that the fNIRS headband was capable of imaging hemodynamic activity of the brain. The experimental results also showed on average, four different stimulus-evoked hemodynamic responses due to the four difficulty levels of the tasks

Conference Presentation

Citation Download Citation

Manob Jyoti Saikia "Internet of things-based functional near-infrared spectroscopy headband for mental workload assessment", Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116292J (5 March 2021); https://doi.org/10.1117/12.2577922

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available