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 …

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 …

[HTML][HTML] 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 …

FNIRS approach to pain assessment for non-verbal patients

RF Rojas, X Huang, J Romero, KL Ou - … 14–18, 2017, Proceedings, Part IV …, 2017 - Springer
The absence of verbal communication in some patients (eg, critically ill, suffering from
advanced dementia) difficults their pain assessment due to the impossibility to self-report …

Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals

D Lopez-Martinez, K Peng, SC Steele… - 2018 24th …, 2018 - ieeexplore.ieee.org
Currently there is no validated objective measure of pain. Recent neuroimaging studies
have explored the feasibility of using functional near-infrared spectroscopy (fNIRS) to …

Classification of fNIRS data under uncertainty: A Bayesian neural network approach

T Siddique, MS Mahmud - 2020 IEEE International Conference …, 2021 - ieeexplore.ieee.org
Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive form of Brain-Computer
Interface (BCI). It is used for the imaging of brain hemodynamics and has gained popularity …

Identification of Human Pain Perception using FNIRS

LT Shuvra, SMR Islam, N Zaman… - … on Robotics, Electrical …, 2019 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRs) is a noninvasive, invivo technique that
measure the brain activity through hemodynamic response on cerebral cortex area. fNIR …

Toward a functional near-infrared spectroscopy-based monitoring of pain assessment for nonverbal patients

R Fernandez Rojas, X Huang… - Journal of biomedical …, 2017 - spiedigitallibrary.org
Pain diagnosis for nonverbal patients represents a challenge in clinical settings.
Neuroimaging methods, such as functional magnetic resonance imaging and functional …