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 …
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 …
for patients with motor and communication disabilities. Due to their condition, these patients …
Investigation of the Performance of fNIRS-based BCIs for Assistive Systems in the Presence of Acute Pain
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 …
acquired from the brain. A key application of BCIs is in assistive systems for patients with …
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 …
mental arithmetic tasks in functional near infrared spectroscopy (fNIRS)-based brain …
fNIRS-based brain-computer interfaces: a review
A brain-computer interface (BCI) is a communication system that allows the use of brain
activity to control computers or other external devices. It can, by bypassing the peripheral …
activity to control computers or other external devices. It can, by bypassing the peripheral …
Multimodal fNIRS-EEG classification using deep learning algorithms for brain-computer interfaces purposes
The development of brain-computer interface (BCI) systems has received considerable
attention from neuroscientists in recent years. BCIs can serve as a means of communication …
attention from neuroscientists in recent years. BCIs can serve as a means of communication …
Detection of motor execution using a hybrid fNIRS-biosignal BCI: a feasibility study
Abstract Background Brain-computer interfaces (BCIs) were recently recognized as a
method to promote neuroplastic effects in motor rehabilitation. The core of a BCI is a …
method to promote neuroplastic effects in motor rehabilitation. The core of a BCI is a …
Experiment on control of decision-making abilities in prefrontal cortex
S Takano, T Shimokawa, T Misawa… - The 40th International …, 2010 - ieeexplore.ieee.org
In recent years, developments in functional neuroimaging technologies have helped
facilitate a clearer understanding of the activation of sites in the brain. This technology is …
facilitate a clearer understanding of the activation of sites in the brain. This technology is …
Single trial classification of fNIRS-based brain-computer interface mental arithmetic data: a comparison between different classifiers
Functional near infrared spectroscopy (fNIRS) is an emerging technique for the in-vivo
assessment of functional activity of the cerebral cortex as well as in the field of brain …
assessment of functional activity of the cerebral cortex as well as in the field of brain …
Cortical activation pattern for grasping during observation, imagery, execution, FES, and observation-FES integrated BCI: An fNIRS pilot study
Passive movement, action observation and motor imagery as well as motor execution have
been suggested to facilitate the motor function of human brain. The purpose of this study is …
been suggested to facilitate the motor function of human brain. The purpose of this study is …