[HTML][HTML] 基于功能性近红外光谱识别右脚三种想象动作研究

玉李, 馨熊, 昭阳李, 云发伏 - Sheng Wu Yi Xue Gong Cheng Xue …, 2020 - ncbi.nlm.nih.gov
基于功能性近红外光谱( fNIRS) 的脑机接口( BCI) 是一种新型的人机交互手段。
为探究单个肢体不同运动想象动作fNIRS 信号的可分性, 研究采集了15 名受试者 …

Brain–computer interface as a potential access method for communication in non-verbal children with cerebral palsy: a state-of-the-art review

P Karlsson, S Orlandi, H Zhao, A McEwan - Wearable/Personal Monitoring …, 2022 - Springer
Cerebral palsy is an umbrella term that encompasses a group of disorders affecting
movement and posture. The primary motor disorder is often accompanied by associated …

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 …

Investigation of an EEG-based Indicator of skill acquisition as novice participants practice a lifeboat maneuvering task in a simulator

R Biswas, B Veitch, SD Power - International Journal of Human …, 2020 - Taylor & Francis
In training, task proficiency is typically assessed through relevant performance measures.
Such measures provide information about how effectively the individual can perform the …

A hybrid brain-computer interface combining the EEG and NIRS

L Ma, L Zhang, L Wang, M Xu, H Qi… - 2012 IEEE …, 2012 - ieeexplore.ieee.org
Compared to the conventional brain-computer interface (BCI) system, the hybrid BCI
provides a more efficient way for the communication between the brain and the external …

Hybrid EEG-NIRS based active command generation for quadcopter movement control

MJ Khan, A Zafar, KS Hong - 2016 International Automatic …, 2016 - ieeexplore.ieee.org
In this study, we have generated four active commands using hybrid
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for …

[PDF][PDF] Hybrid EEG-NIRS BCI for rehabilitation using different brain signals

MJ Khan, KS Hong, N Naseer, MR Bhutta… - Proc. of the Annual …, 2014 - researchgate.net
This paper presents a novel work on hybrid EEG-NIRS system for decoding three control
commands, from motor and visual cortices, that can be used for the purpose of rehabilitation …

An online three-class Transcranial Doppler ultrasound brain computer interface

A Goyal, AA Samadani, AM Guerguerian… - Neuroscience Research, 2016 - Elsevier
Brain computer interfaces (BCI) can provide communication opportunities for individuals
with severe motor disabilities. Transcranial Doppler ultrasound (TCD) measures cerebral …

[HTML][HTML] Classification of prefrontal cortex activity based on functional near-infrared spectroscopy data upon olfactory stimulation

CH Chen, KK Shyu, CK Lu, CW Jao, PL Lee - Brain Sciences, 2021 - mdpi.com
The sense of smell is one of the most important organs in humans, and olfactory imaging
can detect signals in the anterior orbital frontal lobe. This study assessed olfactory stimuli …

Drone control using functional near-infrared spectroscopy

A Zafar, U Ghafoor, MJ Khan… - 2018 15th International …, 2018 - ieeexplore.ieee.org
In this paper, we have used initial dip detection to generate early brain command for the
drone control. The initial dips in functional near-infrared spectroscopy (fNIRS) signals are …