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A New Approach for Automatic Removal of Movement Artifacts in Near-Infrared Spectroscopy Time Series by Means of Acceleration Data

Andreas Metz, Martin Wolf, Peter Achermann, Felix Scholkmann
2015 Algorithms  
artifacts; near-infrared spectroscopy (NIRS); functional-near infrared spectroscopy (fNIRS)  ...  Near-infrared spectroscopy (NIRS) enables the non-invasive measurement of changes in hemodynamics and oxygenation in tissue.  ...  Acknowledgments This work was supported by a grant from the Zurich Center for Integrative Human Physiology (ZIHP), University of Zurich, Switzerland, by the 7th framework funded by the European commission  ... 
doi:10.3390/a8041052 fatcat:dtleytal65dirl2vtro7x4qqpi

Accelerometer-based method for correcting signal baseline changes caused by motion artifacts in medical near-infrared spectroscopy

Jaakko Virtanen, Tommi Noponen, Kalle Kotilahti, Juha Virtanen, Risto J. Ilmoniemi
2011 Journal of Biomedical Optics  
Acknowledgments The authors would like to thank Tiina Näsi for her help on motion artifact identification and Jussi Toppila for sleep scoring.  ...  This work was financially supported by the Finnish Cultural Foundation.  ...  Introduction Medical near-infrared spectroscopy (NIRS) is a noninvasive technique for estimating hemodynamic variables from attenuation changes of 650 to 950-nm light in tissue, including concentration  ... 
doi:10.1117/1.3606576 pmid:21895332 fatcat:roqlns2divamfm4yiseaptie6y

Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces

Zhipeng He, Zina Li, Fuzhou Yang, Lei Wang, Jingcong Li, Chengju Zhou, Jiahui Pan
2020 Brain Sciences  
This paper primarily discusses the progress of research into multimodal emotion recognition based on BCI and reviews three types of multimodal affective BCI (aBCI): aBCI based on a combination of behavior  ...  With the continuous development of portable noninvasive human sensor technologies such as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing attention in the area  ...  Near-infrared light is absorbed when it penetrates biologic tissue; the measurement results of near-infrared spectroscopy are related to brain activity and are attributed to the effect of this interaction  ... 
doi:10.3390/brainsci10100687 pmid:33003397 pmcid:PMC7600724 fatcat:juzx77asgrh2zpl3s2jvw6tdcq

2018 Index IEEE Journal of Biomedical and Health Informatics Vol. 22

2018 IEEE journal of biomedical and health informatics  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, JBHI July 2018 1238-1249 Infrared spectroscopy Effectiveness Evaluation of Real-Time Scalp Signal Separating Algorithm on Near-Infrared Spectroscopy Neurofeedback.  ... 
doi:10.1109/jbhi.2018.2880294 fatcat:3cy3e7no55emlgbxfe3mwef3vu

Concurrent transcranial direct current stimulation and progressive resistance training in Parkinson's disease: study protocol for a randomised controlled trial

Ashlee M. Hendy, Alex Tillman, Timo Rantalainen, Makii Muthalib, Liam Johnson, Dawson J. Kidgell, Daniel Wundersitz, Peter G. Enticott, Wei-Peng Teo
2016 Trials  
Supervised lower body PRT combined with functional balance tasks will be performed three times per week with concurrent a-tDCS delivered at 2 mA for 20 minutes (a-tDCS group) or with sham tDCS (sham group  ...  Parkinson's disease (PD) results from a loss of dopamine in the brain, leading to movement dysfunctions such as bradykinesia, postural instability, resting tremor and muscle rigidity.  ...  PGE is supported by a career development fellowship from the  ... 
doi:10.1186/s13063-016-1461-7 pmid:27430304 pmcid:PMC4949761 fatcat:nzcbyqafpfdgdgk2jqezwkcne4

Recognizing Frustration of Drivers From Face Video Recordings and Brain Activation Measurements With Functional Near-Infrared Spectroscopy

Klas Ihme, Anirudh Unni, Meng Zhang, Jochem W. Rieger, Meike Jipp
2018 Frontiers in Human Neuroscience  
In the second experiment, we measured cortical activation with almost whole-head functional near-infrared spectroscopy (fNIRS) while participants experienced frustrating and non-frustrating driving simulator  ...  Our results show that facial and cortical markers of frustration can be informative for time resolved driver state identification in complex realistic driving situations.  ...  The reason for that is the fact that fNIRS time series data are typically characterized by large outliers caused by movement artifacts and serially correlated noise from the physiological artifacts and  ... 
doi:10.3389/fnhum.2018.00327 pmid:30177876 pmcid:PMC6109683 fatcat:ogniqoh2orcy7dmpbcvox22tuu

A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging

Hubin Zhao, Sabrina Brigadoi, Danial Chitnis, Enrico De Vita De Vita, Marco Castellaro, Samuel Powell, Nicholas Everdell, Robert Cooper
2020 Biomedical Optics Express  
Diffuse optical tomography, which uses the intensity of back-scattered near-infrared light from multiple source-detector pairs to image changes in haemoglobin concentrations in the brain, is uniquely placed  ...  The ability to produce high-quality images of human brain function in any environment and during unconstrained movement of the subject has long been a goal of neuroimaging research.  ...  Acknowledgements We would like to extend our thanks to clinical scientists Marzena Wylezinska-Arridge and Stephen Wastling for the essential part they played in acquiring the structural MRI data.  ... 
doi:10.1364/boe.394914 pmid:32923032 pmcid:PMC7449732 fatcat:dvl6g5chnncczjezyfnoep6ire

Automated seizure detection systems and their effectiveness for each type of seizure

A. Ulate-Campos, F. Coughlin, M. Gaínza-Lein, I. Sánchez Fernández, P.L. Pearl, T. Loddenkemper
2016 Seizure  
Acknowledgement This manuscript was in part funded by the Epilepsy Research Fund.  ...  Near-infrared spectroscopy (NIRS) Wavelengths used in NIRS measure cerebral oxygen saturation by using the specific absorption properties of tissues in the near infrared range [117, 118] .  ...  infrared spectroscopy): data not available.  ... 
doi:10.1016/j.seizure.2016.06.008 pmid:27376911 fatcat:umeysbey3ze53g7z32k3cgpjqe

Best practices for fNIRS publications

Meryem A. Yücel, Alexander v. Lühmann, Felix Scholkmann, Judit Gervain, Ippeita Dan, Hasan Ayaz, David Boas, Robert J. Cooper, Joseph Culver, Clare E. Elwell, Adam Eggebrecht, Maria A. Franceschini (+10 others)
2021 Neurophotonics  
The Society for Functional Near-Infrared Spectroscopy has thus been motivated to organize a representative (but not exhaustive) group of leaders in the field to build a consensus on the best practices  ...  The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has been expanding over the last 40 years.  ...  Motivation Functional near-infrared spectroscopy (fNIRS) is a noninvasive, easy-to-use, and portable brain imaging technology that enables studies of normal brain function and alterations that arise in  ... 
doi:10.1117/1.nph.8.1.012101 pmid:33442557 pmcid:PMC7793571 fatcat:hkcjeyob3fc5vnnetpas4z7aqq

Ambulatory diffuse optical tomography and multimodality physiological monitoring system for muscle and exercise applications

Gang Hu, Quan Zhang, Vladimir Ivkovic, Gary E. Strangman
2016 Journal of Biomedical Optics  
Ambulatory diffuse optical tomography (aDOT) is based on near-infrared spectroscopy (NIRS) and enables three-dimensional imaging of regional hemodynamics and oxygen consumption during a person's normal  ...  Powered by four AA size batteries and weighing 577 g, the NINscan-M prototype can synchronously record 64-channel NIRS imaging data, eight channels of EMG, ECG, or other analog signals, plus force, acceleration  ...  Acknowledgments This work was supported by the National Space Biomedical Research Institute through NASA NCC 9-58.  ... 
doi:10.1117/1.jbo.21.9.091314 pmid:27467190 fatcat:mq74tjuiindixovey6mv4cz4ze

Brain Computer Interfaces, a Review

Luis Fernando Nicolas-Alonso, Jaime Gomez-Gil
2012 Sensors  
The immediate goal of BCI research is to provide communications capabilities to severely disabled people who are totally paralyzed or 'locked in' by neurological neuromuscular disorders, such as amyotrophic  ...  Third, the review includes some techniques used in the signal enhancement step to deal with the artifacts in the control signals and improve the performance.  ...  Acknowledgements This work was partially supported by the regional 2010 Research Project Plan of the Junta de Castilla y León, (Spain), under project VA034A10-2.  ... 
doi:10.3390/s120201211 pmid:22438708 pmcid:PMC3304110 fatcat:rinslsoovba4hizv3ugwdy6g2e

Functional brain imaging using near-infrared spectroscopy during actual driving on an expressway

Kayoko Yoshino, Noriyuki Oka, Kouji Yamamoto, Hideki Takahashi, Toshinori Kato
2013 Frontiers in Human Neuroscience  
Functional near-infrared spectroscopy (fNIRS) is advantageous in that it can measure cerebral hemodynamic responses in a person driving an actual vehicle.  ...  As the FEF contributes to control of eye movement in three-dimensional space, FEF activation may be important in actual road driving. fNIRS is a powerful technique for investigating brain activation outdoors  ...  Functional near-infrared spectroscopy (fNIRS) has attracted attention in this field, and driving simulation experiments have been conducted using fNIRS with the subjects in a sitting position (Yanaginuma  ... 
doi:10.3389/fnhum.2013.00882 pmid:24399949 pmcid:PMC3871711 fatcat:shhohochw5g7zdcmbljuqikvba

Towards Effective Non-Invasive Brain-Computer Interfaces Dedicated to Gait Rehabilitation Systems

Thierry Castermans, Matthieu Duvinage, Guy Cheron, Thierry Dutoit
2013 Brain Sciences  
The paper then focuses on the mechanisms of supra-spinal centers active during gait, including results from electroencephalography, functional brain imaging technologies [near-infrared spectroscopy (NIRS  ...  Patterns: Arguments in Favor of a Human CPG Network The rhythmic movements of the legs during stepping require a complex sequence of muscle contractions to be executed by the lower limbs.  ...  This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State  ... 
doi:10.3390/brainsci4010001 pmid:24961699 pmcid:PMC4066236 fatcat:apcstq54yfakzlsydlnczlfpeu

The effects of two game interaction modes on cortical activation in subjects of different ages: A functional near-infrared spectroscopy study

Ruhong Ge, Zilin Wang, Xin Yuan, Qinbiao Li, Yeqin Gao, Heshan Liu, Zhijun Fan, Lingguo Bu
2021 IEEE Access  
This study used functional near-infrared spectroscopy (fNIRS) to compare the brain activation of young and elderly people during VR and mobile phone training when performing a cognitive training game.  ...  INDEX TERMS Virtual reality, functional near-infrared spectroscopy, cortical activation, game experience, cognitive decline.  ...  the artifacts based on the input parameters and automatically retrieves the interval of possible artifacts in the data.  ... 
doi:10.1109/access.2021.3050210 fatcat:l5rupngdxne7va6tr6aaqqtalu

Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects

Evelyn Jungnickel, Klaus Gramann
2016 Frontiers in Human Neuroscience  
Existing brain imaging approaches do not allow for an investigation of brain dynamics during active behavior because their sensors cannot follow the movement of the signal source.  ...  The non-invasive recording and analysis of human brain activity during active movements in natural working conditions is a central challenge in Neuroergonomics research.  ...  Single channels and time periods containing artifacts were removed by visual inspection of the data. Eye movements were not considered as artifacts.  ... 
doi:10.3389/fnhum.2016.00306 pmid:27445747 pmcid:PMC4921999 fatcat:xc4bottiljcufjkgzla4mi5fie
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