Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces

KS Hong, MJ Khan, MJ Hong - Frontiers in human neuroscience, 2018 - frontiersin.org
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …

Somatosensation in the brain: a theoretical re-evaluation and a new model

EHF de Haan, HC Dijkerman - Trends in Cognitive Sciences, 2020 - cell.com
The somatosensory system is important for many functions, such as tactile recognition, the
perception of our body, and motor actions. We present a comprehensive review of the …

Effects of acupuncture therapy on MCI patients using functional near-infrared spectroscopy

U Ghafoor, JH Lee, KS Hong, SS Park, J Kim… - Frontiers in Aging …, 2019 - frontiersin.org
Acupuncture therapy (AT) is a non-pharmacological method of treatment that has been
applied to various neurological diseases. However, studies on its longitudinal effect on the …

Early detection of Alzheimer's disease using non-invasive near-infrared spectroscopy

R Li, G Rui, W Chen, S Li, PE Schulz… - Frontiers in aging …, 2018 - frontiersin.org
Mild cognitive impairment (MCI) is a cognitive disorder characterized by memory
impairment, wherein patients have an increased likelihood of develo** Alzheimer's …

Existence of initial dip for BCI: an illusion or reality

KS Hong, A Zafar - Frontiers in neurorobotics, 2018 - frontiersin.org
A tight coupling between the neuronal activity and the cerebral blood flow (CBF) is the
motivation of many hemodynamic response (HR)-based neuroimaging modalities. The …

Brain–machine interfaces using functional near-infrared spectroscopy: a review

KS Hong, U Ghafoor, MJ Khan - Artificial Life and Robotics, 2020 - Springer
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …

Metaheuristic optimization-based feature selection for imagery and arithmetic tasks: An fNIRS study

A Zafar, SJ Hussain, MU Ali, SW Lee - Sensors, 2023 - mdpi.com
In recent decades, the brain–computer interface (BCI) has emerged as a leading area of
research. The feature selection is vital to reduce the dataset's dimensionality, increase the …

Acupuncture enhances brain function in patients with mild cognitive impairment: evidence from a functional-near infrared spectroscopy study

MNA Khan, U Ghafoor, HR Yoo… - Neural regeneration …, 2022 - journals.lww.com
Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease. It is imperative to
develop a proper treatment for this neurological disease in the aging society. This …

Selectivity and longevity of peripheral-nerve and machine interfaces: a review

U Ghafoor, S Kim, KS Hong - Frontiers in Neurorobotics, 2017 - frontiersin.org
For those individuals with upper-extremity amputation, a daily normal living activity is no
longer possible or it requires additional effort and time. With the aim of restoring their …

Open-access fNIRS dataset for classification of unilateral finger-and foot-tap**

SJ Bak, J Park, J Shin, J Jeong - Electronics, 2019 - mdpi.com
Numerous open-access electroencephalography (EEG) datasets have been released and
widely employed by EEG researchers. However, not many functional near-infrared …