Results 111 to 120 of about 27,109 (223)
False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward [PDF]
, 2016 We highlight a significant problem that needs to be considered and addressed when performing functional near-infrared spectroscopy (fNIRS) studies, namely the possibility of inadvertently measuring fNIRS hemodynamic responses that are not due to ...
Scholkmann, F, Tachtsidis, I
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Cortical activity during walking and balance tasks in older adults and in people with Parkinson’s disease: a structured review [PDF]
, 2018 An emerging body of literature has examined cortical activity during walking and balance tasks in older adults and in people with Parkinson’s disease, specifically using functional near infrared spectroscopy (fNIRS) or electroencephalography (EEG).
Fino, Peter C. +5 more
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Frontiers in Human Neuroscience, 2013 In this study we implemented a new imaging method to fuse functional near infrared spectroscopy (fNIRS) measurements and functional magnetic resonance imaging (fMRI) data to reveal the spatiotemporal dynamics of the hemodynamic responses with high ...
Zhen eYuan, JongChul eYe
doaj +1 more source
Frequency Domain Functional Near-Infrared Spectrometer (fNIRS) for Crew State Monitoring [PDF]
A frequency domain functional near-infrared spectrometer (fNIRS) and accompanying software have been developed by the NASA Glenn Research Center as part of the Airspace Operations and Safety Program (AOSP) Technologies for Airplane State Awareness (TASA ...
Gotti, Daniel J. +6 more
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Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations
, 2018 We examine if EEG-based cognitive load (CL) estimation is generalizable across the character, spatial pattern, bar graph and pie chart-based visualizations for the nback~task.
Bilalpur, Maneesh +5 more
core +1 more source
Examining the reliability of using fNIRS in realistic HCI settings for spatial and verbal tasks [PDF]
, 2015 Recent efforts have shown that functional near-infrared spectroscopy (fNIRS) has potential value for brain sensing in HCI user studies. Research has shown that, although large head movement significantly affects fNIRS data, typical keyboard use, mouse ...
Maior, Horia A. +3 more
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Neuropsychiatric Disease and TreatmentZhijun Cui,1 Aimin Liang,1 Hongmei Huang,1 Xin Ni2 1Children’s Health Care Center, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, People’s Republic of China; 2Beijing Children’s Hospital, Capital ...
Cui Z, Liang A, Huang H, Ni X
doaj
Journal of Pain ResearchXue Deng,1,2 Naifu Jiang,3 Zhaoying Huang,4 Qi Wang5 1Department of Rehabilitation Medicine, The 8th Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong Province, People’s Republic of China; 2Division of Occupational Therapy, Decker ...
Deng X, Jiang N, Huang Z, Wang Q
doaj
Facebook Report on Privacy of fNIRS data
CoRRThe primary goal of this project is to develop privacy-preserving machine learning model training techniques for fNIRS data. This project will build a local model in a centralized setting with both differential privacy (DP) and certified robustness. It will also explore collaborative federated learning to train a shared model between multiple clients ...
Md. Imran Hossen +4 more
openaire +2 more sources
Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring
SensorsSynchronous monitoring electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) have received significant attention in brain science research for their provision of more information on neuro-loop interactions.
Boyu Li +5 more
doaj +1 more source