Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
Objective. In this paper, a novel methodology for feature extraction to enhance classification
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …
accuracy of functional near-infrared spectroscopy (fNIRS)-based two-class and three-class …
Classification of fNIRS finger tapping data with multi-labeling and deep learning
NM Sommer, B Kakillioglu, T Grant… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Studying the relationship between the brain and finger tapping motions can contribute
towards an improved understanding of neuromuscular impairment. Furthermore, acquiring …
towards an improved understanding of neuromuscular impairment. Furthermore, acquiring …
On fractality of functional near-infrared spectroscopy signals: analysis and applications
Significance: The human brain is a highly complex system with nonlinear, dynamic behavior.
A majority of brain imaging studies employing functional near-infrared spectroscopy (fNIRS) …
A majority of brain imaging studies employing functional near-infrared spectroscopy (fNIRS) …
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 …
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 …
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 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 …
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 …
Temporal dynamics of fNIRS-recorded signals revealed via visibility graph
L Zhu, L Najafizadeh - Optical Tomography and Spectroscopy, 2016 - opg.optica.org
Temporal Dynamics of fNIRS-Recorded Signals Revealed Via Visibility Graph Page 1 JW3A.53.pdf
Biomedical Optics Congress 2016 (Brain, Cancer, OTS, Translational) © OSA 2016 …
Biomedical Optics Congress 2016 (Brain, Cancer, OTS, Translational) © OSA 2016 …
Multi-Label/Multi-Class Deep Learning Classification of Spatiotemporal Data
N Sommer - 2021 - search.proquest.com
Human senses allow for the detection of simultaneous changes in our environments. An
unobstructed field of view allows us to notice concurrent variations in different parts of what …
unobstructed field of view allows us to notice concurrent variations in different parts of what …
Assessing optimal electrode/optode arrangement in EEG-fNIRS multi-modal imaging
Assessing Optimal Electrode/Optode Arrangement in EEG-fNIRS Multi-Modal Imaging Page 1
JW3A.39.pdf Biomedical Optics Congress 2016 (Brain, Cancer, OTS, Translational) © OSA …
JW3A.39.pdf Biomedical Optics Congress 2016 (Brain, Cancer, OTS, Translational) © OSA …