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Investigating Nuisance Effects Induced in EEG During tACS Application
2021
Frontiers in Human Neuroscience
Transcranial alternating-current stimulation (tACS) in the frequency range of 1–100 Hz has come to be used routinely in electroencephalogram (EEG) studies of brain function through entrainment of neuronal ...
EEG data recorded during the stimulation. ...
ACKNOWLEDGMENTS We thank Maria Ruse for her help in data acquisition. ...
doi:10.3389/fnhum.2021.637080
pmid:34122026
pmcid:PMC8193977
fatcat:vxtrije4p5gfdcndgnvkxfh7eq
Entrainment of Brain Oscillations by Transcranial Alternating Current Stimulation
2014
Current Biology
Results In order to study the immediate electrophysiological effects of transcranial alternating current stimulation (tACS), we analyzed simultaneously recorded electroencephalogram (EEG) in 14 participants ...
Retrieval of EEG Activity and ERP Components We pioneered a novel approach for artifact removal (Supplemental Experimental Procedures available online) to remove the tACS artifact, which ideally would ...
Acknowledgments The authors would like to thank Johannes Vosskuhl for help with participant recruitment and data acquisition. ...
doi:10.1016/j.cub.2013.12.041
pmid:24461998
fatcat:2v3to5avzbgztkbpxu5yoi44ju
Comb filters for the removal of transcranial current stimulation artifacts from single channel EEG recordings
2021
Current Directions in Biomedical Engineering
The combination of transcranial alternating current stimulation (tACS) and electroencephalogram (EEG) for mobile and home-based interventions offers the potential for control and adaptation of stimulation ...
At any given time point t, the recording r(t) is a superposition of a neurophysiological signal n(t), the stimulation artifact a(t) and noise e(t). ...
Introduction The combination of transcranial alternating current stimulation (tACS) and electroencephalogram (EEG) has been explored in several recent studies. ...
doi:10.1515/cdbme-2021-2097
fatcat:ddzpkilnu5h6demhvye2zeudxu
Frequency analysis of electroencephalogram recorded from a bottlenose dolphin (Tursiops truncatus) with a novel method during transportation by truck
2010
Journal of Physiological Sciences
In order to obtain information regarding the correlation between an electroencephalogram (EEG) and the state of a dolphin, we developed a noninvasive recording method of EEG of a bottlenose dolphin (Tursiops ...
The frequency detected in the EEG of dolphin during apparent awakening was divided conveniently into three bands (5-15, 15-25, and 25-40 Hz) based on spectrum profiles. ...
Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided ...
doi:10.1007/s12576-010-0090-2
pmid:20429047
pmcid:PMC2887934
fatcat:ze7t75mubfg6lgmjxkkrrzm4ce
Cochlear Implant Artifact Rejection In Electrically Evoked Auditory Steady State Responses
2014
Zenodo
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014 ...
When compared to established methods for the response detection in the presence of stimulation artifacts, electrophysiological thresholds were similar while only requiring recordings for one modulation ...
These artifacts contain a component at the modulation frequency [9] and must therefore be removed prior to response detection. ...
doi:10.5281/zenodo.43973
fatcat:gtvsp56mvvgrhgk3pasa67rlsa
A compact electroencephalogram recording device with integrated audio stimulation system
2010
Review of Scientific Instruments
Review of Scientific Instruments, 81(6):064301, A compact ͑96ϫ 128ϫ 32 mm 3 , 374 g͒, battery-powered, eight-channel electroencephalogram recording device with an integrated audio stimulation system and ...
A compact EEG recording device with integrated audio stimulation system. ...
The work was supported in part by the Graduate School of Electrical and Communications Engineering and Society of Electronics Engineers. ...
doi:10.1063/1.3436634
pmid:20590254
fatcat:uaom5r5omrbanfaymkpyp5fby4
Surgical Hand Gesture Recognition Utilizing Electroencephalogram as Input to the Machine Learning and Network Neuroscience Algorithms
2021
Sensors
We aimed to extract features from electroencephalogram (EEG) data and use them in machine learning algorithms to classify robot-assisted surgical gestures. ...
Surgical gestures detection can provide targeted, automated surgical skill assessment and feedback during surgical training for robot-assisted surgery (RAS). ...
Authors would like to thank Arun Menon and Naif Aldhaam from Urology department at Roswell Park Comprehensive Cancer Center for participation in the study. ...
doi:10.3390/s21051733
pmid:33802372
pmcid:PMC7959280
fatcat:nsss6nrtlfgjzep6jpkjldcbbi
Novel Computational Tools in Biosignal Processing
2015
The Scientific World Journal
Acknowledgments The guest editors would like to thank the authors for their excellent contributions and the reviewers for their help in improving the papers. ...
Boudet et al. proposes a dual adaptive filtering by optimal projection (DAFOP) method to automatically remove artifacts on EEG recordings. ...
The paper titled "Detection of Burst Suppression Patterns in EEG Using Recurrence Rate" by Z. ...
doi:10.1155/2015/984702
pmid:25969838
pmcid:PMC4417600
fatcat:ufzzqijwv5cgdivrj5iclbhrgq
Design and Implementation ofReal-time Electrical Stimulation Artifact Suppression based on STM32
2021
Turkish Journal of Computer and Mathematics Education
This paper describes a system design that removes electrical stimulation artifact in real time using a Cortex-M4-based STM32F processor. ...
However, it is necessary to remove the electrical stimulation artifact caused by the electrical stimulation. ...
Experiments and Results The EMG signal was obtained from a SEMG electrode attached to the subject's arm and the recorded EMG signal is fed directly to a filtering circuit where all unwanted artifacts are ...
doi:10.17762/turcomat.v12i5.982
fatcat:dgmxzi53dfga7pvovf6m6yqvpi
An Improved EEG De-noising Approach in Electroencephalogram (EEG) for Home Care
2011
Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare
In home environments without the supervision of a physician and absence of electromagnetic shielding, the raw EEG data, especially the most important alpha rhythm, which can be used to detect the mental ...
In this paper, the raw data is processed in two steps: step one is a pre-process to remove DC adrift and 50/60Hz AC. ...
As there are many noises and interferences when subjects record EEG in houses, it's necessary to remove the noises, especially Ocular Artifacts (OA), 50/60Hz AC, DC adrift and so on. ...
doi:10.4108/icst.pervasivehealth.2011.246021
dblp:conf/ph/PengHQZR11
fatcat:yg3b7p7uxnfddl5zar2nmdejka
Subspace-Based Suppression of Cortical Stimulation Artifacts
2018
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
In this article, we propose a novel subspace-based method for the removal of cortical electrical stimulation artifacts. ...
Bi-directional brain-computer interfaces for the restoration of movement and sensation must simultaneously record neural signals and deliver cortical stimulation. ...
In this article we propose a straightforward method for the removal of stimulation artifacts from recorded neural data. ...
doi:10.1109/embc.2018.8512809
pmid:30440897
fatcat:7tjnxvouyrgexnwmqerhh6pkee
Comparison of Relative α-Power Spectral Electroencephalogram Activity Analysis According to Electrical Stimulation Levels in Normal Adults
2015
Journal of Psychiatry
Objective: To investigate the effect of interferential current (IFC) stimulation level on electroencephalogram (EEG) activation. ...
Results: After IFC stimulation, subjects in each group showed significant differences in terms of the retention time of relative alpha power from each brain region and between-group interaction effects ...
Conflict of Interests The authors declare that there are no conflicts of interest regarding the publication of this article. ...
doi:10.4172/2378-5756.1000308
fatcat:sbtxm4ouqfb4dltw7mgixamv6y
Transcranial Alternating Current Stimulation with Sawtooth Waves: Simultaneous Stimulation and EEG Recording
2016
Frontiers in Human Neuroscience
An additional advantage of sawtooth waves is that the resulting artifact in the electroencephalogram (EEG) recording is significantly simpler to remove than a sine wave; accordingly we were able to observe ...
In addition we tested for an after-effect of both sawtooth and sinusoidal stimulation on alpha power but in this case did not find any significant effect. ...
An additional advantage of sawtooth waves is that the resulting artifact in the electroencephalogram (EEG) recording is significantly simpler to remove than a sine wave; accordingly we were able to observe ...
doi:10.3389/fnhum.2016.00135
pmid:27065835
pmcid:PMC4809871
fatcat:hnoc6r4vqjdvzahgh6mx6wd4aq
Closed-loop stimulation of hypoglossal nerve in a dog model of upper airway obstruction
2000
IEEE Transactions on Biomedical Engineering
As an advantage, the method uses a single electrode for both recording and stimulation of the HG nerve. ...
In this paper, we test the hypothesis that the activity of the HG nerve can be used as a feedback signal for closed-loop stimulation of the HG nerve in an animal model of UAW obstruction where a force ...
Erokwu for helping with tissue fixation; and Dr. J. J. Struijk for commenting on the manuscript. ...
doi:10.1109/10.846686
pmid:10916263
fatcat:k5x7mk6tqvcite36oeik6lks34
Determination of Ocular Artifacts in the Clinical EEG Software by a Peripheral Device
2021
Electronics
In order to increase the accuracy of the detection of eye movements during EEG examination, additional electrooculogram channels (electrooculography, EOG) with a standard PC keyboard are used. ...
The occurrence of physiological artifacts generated by eye movements in electrical brain activity (electroencephalography, EEG) is a well-known problem in clinical practice. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics10020108
fatcat:jx2ebgcp2nasdkabndk57kzfem
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