Results 81 to 90 of about 11,155 (181)

Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on prefrontal cortex

Frontiers in Human Neuroscience, 2013
Functional Near-Infrared Spectroscopy (fNIRS) is a promising method to study functional organization of the prefrontal cortex. However, in order to realize the high potential of fNIRS, effective discrimination between physiological noise originating from
Evgeniya eKirilina, Na eYu, Alexander eJelzow, Heidrun eWabnitz, Arthur M Jacobs, Ilias eTachtsidis   +5 more
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Cortical Activation and Functional Connectivity Response to Different Interactive Modes of Virtual Reality (VR)-Induced Analgesia: A Prospective Functional Near-Infrared Spectroscopy (fNIRS) Study

Journal of Pain Research
Xue 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  

Continuous monitoring of brain dynamics with functional near infrared spectroscopy as a tool for neuroergonomic research: Empirical examples and a technological development

Frontiers in Human Neuroscience, 2013
Functional near infrared spectroscopy (fNIRS) is a noninvasive, safe and portable optical neuroimaging method that can be used to assess brain dynamics during skill acquisition and performance of complex work and everyday tasks. In this paper we describe
Hasan eAyaz, Banu eOnaral, Kurtulus eIzzetoglu, Patricia A Shewokis, Patricia A Shewokis, Ryan eMcKendrick, Raja eParasuraman   +6 more
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Facebook Report on Privacy of fNIRS data

CoRR
The 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, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei 0001   +4 more
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Coregistration of fNIRS Data on to the Realistic Head Model

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
In this paper, we propose a method to visualize fNIRS(Functional Near Infrared Spectroscopy) data on a realistic head model. In order to illustrate the success of this study, we used fNIRS data obtained during the Stroop task. For the realistic head model, high resolution T1 weighted MR images are used.
Emir, U, Duru, A, Ademoglu, A, Akin, A
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Synchronization processes in fNIRS visibility networks

Applied Network Science
Abstract We employ Kuramoto model to assess the presence of synchronization in individuals who fulfill a cooperation task. Our input data is a couple of signals obtained from functional Near-Infrared Spectroscopy Data Acquisition and Pre-processing technology that is used to capture the brain activity of an individual by measuring the oxyhemoglobin ...
Xhilda Dhamo, Eglantina Kalluçi, Eva Noka, Gérard Dray, Coralie Reveille, Stéphane Perrey, Gregoire Bosselut, Darjon Dhamo, Stefan Janaqi   +8 more
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Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring

Sensors
Synchronous 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, Mingjie Li, Jie Xia, Hao Jin, Shurong Dong, Jikui Luo   +5 more
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Research on an adaptive multimodal cognitive load classification method

Brain-Apparatus Communication
Purpose: Functional near-infrared spectroscopy (fNIRS) has emerged as a prominent research tool in the fields of brain function analysis, and cognitive load classification due to its ability to objectively reflect cognitive states.
Xiangxin Yu, Ruizhen Wang
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Altered functional connectivity in preterm neonates with intraventricular hemorrhage assessed using functional near-infrared spectroscopy

Scientific Reports
Intraventricular hemorrhage (IVH) is a common neurological injury following very preterm birth. Resting-state functional connectivity (RSFC) using functional magnetic resonance imaging (fMRI) is associated with injury severity; yet, fMRI is impractical ...
Lilian M. N. Kebaya, Lingkai Tang, Talal Altamimi, Alexandra Kowalczyk, Melab Musabi, Sriya Roychaudhuri, Homa Vahidi, Paige Meyerink, Sandrine de Ribaupierre, Soume Bhattacharya, Leandro Tristao Abi Ramia de Moraes, Keith St. Lawrence, Emma G. Duerden   +12 more
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fNIRS dataset during complex scene analysis

Frontiers in Human Neuroscience
ABSTRACT When analyzing complex scenes, humans often focus their attention on an object at a particular spatial location. The ability to decode the attended spatial location would facilitate brain computer interfaces for complex scene analysis (CSA).
Matthew Ning, Sudan Duwadi, Meryem A. Yücel, Alexander von Lühmann, Alexander von Lühmann, Alexander von Lühmann, David A. Boas, Kamal Sen   +7 more
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