Empirical comparison of deep learning models for fNIRS pain decoding

R Fernandez Rojas, C Joseph… - Frontiers in …, 2024 - frontiersin.org
Introduction Pain assessment is extremely important in patients unable to communicate and
it is often done by clinical judgement. However, assessing pain using observable indicators …

On the reliability of frequency-domain features for fNIRS BCIs in the presence of pain

A Subramanian, F Shamsi… - 2021 IEEE Signal …, 2021 - ieeexplore.ieee.org
In this paper, we study the effects of the presence of pain on the classification accuracy of
mental arithmetic tasks in functional near infrared spectroscopy (fNIRS)-based brain …

Multi-class fNIRS classification of motor execution tasks with application to brain-computer interfaces

F Shamsi, L Najafizadeh - Biomedical signal processing: Innovation and …, 2021 - Springer
Brain-computer interfaces (BCIs) are developed to decode user's intention from their brain
activities. functional near-infrared spectroscopy (fNIRS) is a noninvasive, low-cost, and easy …

Investigation of the Performance of fNIRS-based BCIs for Assistive Systems in the Presence of Acute Pain

A Subramanian, F Shamsi, L Najafizadeh - Signal Processing in Medicine …, 2023 - Springer
A brain-computer interface (BCI) enables the control of a peripheral device using signals
acquired from the brain. A key application of BCIs is in assistive systems for patients with …

Hierarchical Classification Strategy for Mitigating the Impact of The Presence of Pain in fNIRS-based BCIs

A Subramanian, L Najafizadeh - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Brain computer interfaces (BCIs) can find applications in assistive systems for patients who
experience conditions that impede their motor abilities. A BCI uses signals acquired from the …

Analysis of the Impact of the Presence of Physical Pain in fNIRS-based BCI Systems

A Subramanian, F Shamsi… - 2022 IEEE Signal …, 2022 - ieeexplore.ieee.org
An important application of brain computer interface devices (BCIs) is in assistive systems
for patients with motor and communication disabilities. Due to their condition, these patients …