Automatic Cognitive Fatigue Detection Using Wearable fNIRS and Machine Learning

Automatic Cognitive Fatigue Detection Using Wearable fNIRS and Machine Learning

Wearable sensors have increasingly been applied in healthcare to generate data and monitor patients unobtrusively. Their application for Brain–Computer Interfaces (BCI) allows for unobtrusively monitoring one’s cognitive state over time. A particular state relevant in multiple domains is cognitive f...

Full description

Bibliographic Details
Main Authors:	Rui Varandas, Rodrigo Lima, Sergi Bermúdez I Badia, Hugo Silva, Hugo Gamboa
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Series:	Sensors
Subjects:	cognitive fatigue functional near-infrared spectroscopy machine learning brain–computer interface
Online Access:	https://www.mdpi.com/1424-8220/22/11/4010

Similar Items

fNIRS-EEG BCIs for Motor Rehabilitation: A Review
by: Jianan Chen, et al.
Published: (2023-12-01)

Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for Future Research
by: Nicolas J. Bourguignon, et al.
Published: (2022-08-01)

fNIRS-based brain-computer interfaces: a review
by: Noman eNaseer, et al.
Published: (2015-01-01)

Assessment of muscle fatigue by NIRS
by: Yoshiki MURAMATSU, et al.
Published: (2014-06-01)

The Potential Role of fNIRS in Evaluating Levels of Consciousness
by: Androu Abdalmalak, et al.
Published: (2021-07-01)

FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces
by: Youngchul Kwak, et al.
Published: (2022-01-01)

Amplitude of fNIRS Resting-State Global Signal Is Related to EEG Vigilance Measures: A Simultaneous fNIRS and EEG Study
by: Yuxuan Chen, et al.
Published: (2020-12-01)

An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals
by: Adi Alhudhaif
Published: (2021-05-01)

Demographic reporting and phenotypic exclusion in fNIRS
by: Jasmine Kwasa, et al.
Published: (2023-05-01)

Multi-Class fNIRS Classification Using an Ensemble of GNN-Based Models
by: Minseok Seo, et al.
Published: (2023-01-01)

Enhanced Drowsiness Detection Using Deep Learning: An fNIRS Study
by: M. Asjid Tanveer, et al.
Published: (2019-01-01)

Investigating cortical activity during cybersickness by fNIRS
by: Sang Seok Yeo, et al.
Published: (2024-04-01)

Corrigendum fNIRS-based brain-computer interfaces: a review
by: Noman eNaseer, et al.
Published: (2015-03-01)

Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM
by: Hong Song, et al.
Published: (2017-12-01)

fNIRS for future use in auditory diagnostics
by: Bauernfeind Günther, et al.
Published: (2016-09-01)

Multimodal Affective State Assessment Using fNIRS + EEG and Spontaneous Facial Expression
by: Yanjia Sun, et al.
Published: (2020-02-01)

Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
by: Keum-Shik Hong, et al.
Published: (2018-06-01)

Motor Imagery Decoding Enhancement Based on Hybrid EEG-fNIRS Signals
by: Tao Xu, et al.
Published: (2023-01-01)

Corrigendum: Demographic reporting and phenotypic exclusion in fNIRS
by: Jasmine Kwasa, et al.
Published: (2023-12-01)

Short-Term Effects of Meditation on Sustained Attention as Measured by fNIRS
by: Meltem Izzetoglu, et al.
Published: (2020-09-01)

Rethinking Delayed Hemodynamic Responses for fNIRS Classification
by: Zenghui Wang, et al.
Published: (2023-01-01)

fNIRS-based Neurorobotic Interface for gait rehabilitation
by: Rayyan Azam Khan, et al.
Published: (2018-02-01)

Task-Specific Stimulation Duration for fNIRS Brain-Computer Interface
by: M. N. Afzal Khan, et al.
Published: (2020-01-01)

Motor imagery and action observation of whole-body movements for experienced motor repertoire: an fNIRS study
by: Hayaka Yokota, et al.
Published: (2023-07-01)

Load-dependent activation of bilateral prefrontal cortex: an fNIRS study
by: SANG Linqiong, et al.
Published: (2022-02-01)

Cortical activation of neuromuscular electrical stimulation synchronized mirror neuron rehabilitation strategies: an fNIRS study
by: Yao Cui, et al.
Published: (2023-08-01)

Resting-State-Based Spatial Filtering for an fNIRS-Based Motor Imagery Brain-Computer Interface
by: Yanchun Zheng, et al.
Published: (2019-01-01)

Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks
by: Huma Hamid, et al.
Published: (2022-03-01)

Brain-Based Binary Communication Using Spatiotemporal Features of fNIRS Responses
by: Laurien Nagels-Coune, et al.
Published: (2020-04-01)

fNIRS Assessment during Cognitive Tasks in Elderly Patients with Depressive Symptoms
by: Min-Ju Kang, et al.
Published: (2023-07-01)

Development of an Integrated EEG/fNIRS Brain Function Monitoring System
by: Manal Mohamed, et al.
Published: (2021-11-01)

Hotspots and trends in fNIRS disease research: A bibliometric analysis
by: Xiangyin Ye, et al.
Published: (2023-03-01)

Assessment of fNIRS Signal Processing Pipelines: Towards Clinical Applications
by: Augusto Bonilauri, et al.
Published: (2021-12-01)

Dynamics of the Prefrontal Cortex during Chess-Based Problem-Solving Tasks in Competition-Experienced Chess Players: An fNIR Study
by: Telmo Pereira, et al.
Published: (2020-07-01)

Improving Attention through Individualized fNIRS Neurofeedback Training: A Pilot Study
by: Yue Gu, et al.
Published: (2022-06-01)

Acute effects of mindfulness-based intervention on athlete cognitive function: An fNIRS investigation
by: Yuxin Zhu, et al.
Published: (2022-04-01)

Exercise promotes brain health: a systematic review of fNIRS studies
by: Qi-Qi Shen, et al.
Published: (2024-04-01)

fNIRS neuroimaging in olfactory research: A systematic literature review
by: Natalie Gunasekara, et al.
Published: (2022-12-01)

Multiscale Entropy as a New Feature for EEG and fNIRS Analysis
by: Thanate Angsuwatanakul, et al.
Published: (2020-02-01)

A Machine Learning Perspective on fNIRS Signal Quality Control Approaches
by: Andrea Bizzego, et al.
Published: (2022-01-01)