Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
Somatosensation in the brain: a theoretical re-evaluation and a new model
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 …
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
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 …
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
Mild cognitive impairment (MCI) is a cognitive disorder characterized by memory
impairment, wherein patients have an increased likelihood of develo** Alzheimer's …
impairment, wherein patients have an increased likelihood of develo** Alzheimer's …
Existence of initial dip for BCI: an illusion or reality
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 …
motivation of many hemodynamic response (HR)-based neuroimaging modalities. The …
Brain–machine interfaces using functional near-infrared spectroscopy: a review
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …
hemodynamic signals from the brain with advantages of portability, affordability, low …
Metaheuristic optimization-based feature selection for imagery and arithmetic tasks: An fNIRS study
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 …
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 …
develop a proper treatment for this neurological disease in the aging society. This …
Selectivity and longevity of peripheral-nerve and machine interfaces: a review
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 …
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**
Numerous open-access electroencephalography (EEG) datasets have been released and
widely employed by EEG researchers. However, not many functional near-infrared …
widely employed by EEG researchers. However, not many functional near-infrared …